diff --git a/.github/workflows/fitbot.yml b/.github/workflows/fitbot.yml index dd12c5e577..6315701e60 100644 --- a/.github/workflows/fitbot.yml +++ b/.github/workflows/fitbot.yml @@ -10,7 +10,7 @@ on: env: N3FIT_MAXNREP: 20 # total number of replicas to fit POSTFIT_NREP: 16 # requested replicas for postfit - REFERENCE_SET: NNBOT-3df54cc4b-2024-03-17 # reference set for exact results + REFERENCE_SET: NNBOT-9fded1f04-2024-03-29 # reference set for exact results STABLE_REFERENCE_SET: NNBOT-c0f99b7b3-2024-02-28 # reference set for last tag CONDA_PY: 312 PYTHONHASHSEED: "0" diff --git a/doc/sphinx/source/releases.rst b/doc/sphinx/source/releases.rst index bffe7732b9..d5f3a07044 100644 --- a/doc/sphinx/source/releases.rst +++ b/doc/sphinx/source/releases.rst @@ -10,7 +10,7 @@ be :ref:`readily installed`. In general the version of the code should be preferred for producing new results, but see the compatibility policy below. The main results, such as NNPDF 4.0 :cite:p:`nnpdf40` will be produced with a frozen :ref:`tag `, a :ref:`conda environment ` and a :ref:`docker image -` so that they can be :ref:`reproduced ` entirely. +` so that they can be reproduced entirely. .. _tags: Tags @@ -45,8 +45,7 @@ significant releases since the code was made public are: ancillary features for the NNPDF4.0 analysis and results, and extending the documentation. `Version 4.0.3 `_ - Used to :ref:`produce ` the NNPDF 4.0 :cite:p:`nnpdf40` - fits. + Used to produce the NNPDF 4.0 :cite:p:`nnpdf40` fits. .. _compatibility_policy: Compatibility Policy diff --git a/doc/sphinx/source/tutorials/reproduce.rst b/doc/sphinx/source/tutorials/reproduce.rst deleted file mode 100644 index eb720999e9..0000000000 --- a/doc/sphinx/source/tutorials/reproduce.rst +++ /dev/null @@ -1,167 +0,0 @@ -.. _reproduce40: -How to reproduce an NNPDF4.0 fit -================================================================================ - -Here we describe how to reproduce the NNPDF4.0 PDF sets that are publicly -available through LHAPDF as discussed in section 10 of the NNPDF4.0 paper -:cite:p:`nnpdf40`. - - -The files needed to reproduce the results are available in the folder -|n3fit_nnpdf40_folder|_ -of the `project repository `_ on Github. The -`.yml` files that folder are the following: - -.. _nnpdf40 runcard textblock: -.. code-block:: - - nnpdf40_env.yml # conda environment - - NNPDF40_hyperopt.yml # hyperoptimization runcard - - # Fit runcards: - NNPDF40_lo_as_0118_pch.yml - NNPDF40_lo_as_0118.yml - NNPDF40_nlo_as_0117.yml - NNPDF40_nlo_as_0118_pch.yml - NNPDF40_nlo_as_0118.yml - NNPDF40_nlo_as_0119.yml - NNPDF40_nnlo_as_0116.yml - NNPDF40_nnlo_as_01175.yml - NNPDF40_nnlo_as_0117.yml - NNPDF40_nnlo_as_0118_1000.yml - NNPDF40_nnlo_as_01185.yml - NNPDF40_nnlo_as_0118_pch.yml - NNPDF40_nnlo_as_0119.yml - NNPDF40_nnlo_as_0120.yml - - NNPDF40_nnlo_pdfas.yml - NNPDF40_nnlo_as_0118_hessian.yml # Hessian conversion runcard - - -.. |n3fit_nnpdf40_folder| replace:: ``n3fit/runcards/reproduce_nnpdf40`` -.. _n3fit_nnpdf40_folder: https://github.com/NNPDF/nnpdf/tree/master/n3fit/runcards/reproduce_nnpdf40 - -Below we will describe how these runcards can be used to generate the NNPDF4.0 -PDF grids. - -Setting up the NNPDF4.0 conda envirnoment --------------------------------------------------------------------------------- - -The exact :ref:`conda environment `, including all transitive -dependencies, used to produce all the publicly released PDF fits has been -preserved to ensure precise reproducibility. The environment can be found in -the `project repository -`_ -It can be generated and activated by running - -.. code:: bash - - conda env create --file nnpdf40_env.yaml - conda activate nnpdf40 - -Alternatively, we provide a ready to run docker image with a pre-installed -environment. After :ref:`setting it up `, you can download and open -the environment by running - -.. code:: bash - - docker run -it ghcr.io/nnpdf/nnpdf:4.0.3 bash - - - -Hyperoptimization for NNPDF4.0 --------------------------------------------------------------------------------- -The |NNPDF40_hyperopt.yml|_ runcard can be used to run the -:ref:`hyperoptimization ` with the exact same settings used -to identify the NNPDF4.0 architecture. This step can be skipped if the aim is -simply to reproduce the NNPDF4.0 grids, which requires using the exact same -architecture as was used to create the NNPDF4.0 grids. Nevertheless, this -runcard is made available to provide a complete overview of each step in the -production of the NNPDF4.0 sets. - -.. |NNPDF40_hyperopt.yml| replace:: ``NNPDF40_hyperopt.yml`` -.. _NNPDF40_hyperopt.yml: https://github.com/NNPDF/nnpdf/tree/master/n3fit/runcards/reproduce_nnpdf40/NNPDF40_hyperopt.yml - - -Producing the NNPDF4.0 fits --------------------------------------------------------------------------------- -After setting up the conda environment, we can use it to produce the fits in the -:ref:`usual way `. The names of the "fit runcards" listed in the -:ref:`textblock ` above are the same as those of -the corresponding (public) LHAPDF grids of the same name. For example, -baseline fit with :math:`\alpha_s(m_Z)=0.118` and a variable-flavor-number -scheme with up to five active flavors can be generated with -|NNPDF40_nnlo_as_0118_1000.yml|_. - -.. |NNPDF40_nnlo_as_0118_1000.yml| replace:: ``NNPDF40_nnlo_as_0118_1000.yml`` -.. _NNPDF40_nnlo_as_0118_1000.yml: https://github.com/NNPDF/nnpdf/tree/master/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_0118_1000.yml - - -Hessian conversion, compression, bundled sets and flavor number variations --------------------------------------------------------------------------------- -Among the released PDF sets of NNPDF4.0 are also some sets that are the result -of a transformation or combination of the fits produced using the -"fit runcards", these PDF grids are: - -.. code-block:: - - # Baseline NNDPF4.0 sets: - NNPDF40_nnlo_as_0118 - NNPDF40_nnlo_as_0118_hessian - - # PDF sets with :math:`\alpha_s` variations: - NNPDF40_nnlo_pdfas - NNPDF40_nnlo_hessian_pdfas - - # PDF sets with flavor-number variations: - NNPDF40_nlo_as_0118_nf_4 - NNPDF40_nlo_as_0118_nf_6 - NNPDF40_nnlo_as_0118_nf_4 - NNPDF40_nnlo_as_0118_nf_6 - NNPDF40_nlo_pch_as_0118_nf_3 - NNPDF40_nnlo_pch_as_0118_nf_3 - NNPDF40_nlo_as_0118_nf_4_pdfas - NNPDF40_nnlo_as_0118_nf_4_pdfas - -Section 10 of the NNPDF4.0 states how these can be obtained from the fits -produced using the method discussion under `Producing the NNPDF4.0 fits`_, but -we will again give some pointers here. - -Both ``NNPDF40_nnlo_as_0118`` and ``NNPDF40_nnlo_as_0118_hessian`` are based on -a 1000 replica PDF set ``NNPDF40_nnlo_as_0118_1000``. Specifically, -``NNPDF40_nnlo_as_0118`` is the result of a compression of -``NNPDF40_nnlo_as_0118_1000`` using the -:ref:`pycompressor ` package, while -``NNPDF40_nnlo_as_0118_hessian`` can be created by running - -.. code:: bash - - validphys NNPDF40_nnlo_as_0118_hessian.yml - -For more information, see -:ref:`the tutorial on how to transform a Monte Carlo PDF set into a Hessian PDF set `. - -The bundled PDF + :math:`\alpha_s` variation set ``NNPDF40_nnlo_pdfas`` can be -generated using the runcard |NNPDF40_nnlo_pdfas.yml|_, again, for more -information on how to bundle PDFs with :math:`\alpha_s` replicas, see -:ref:`the relevant tutorial `. - - -.. |NNPDF40_nnlo_pdfas.yml| replace:: ``NNPDF40_nnlo_as_0118_1000.yml`` -.. _NNPDF40_nnlo_pdfas.yml: https://github.com/NNPDF/nnpdf/tree/master/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_pdfas.yml - - -The PDF sets released as part of NNPDF4.0 also includes sets in which the -maximum value of ``nf`` differs from the baseline value of ``nf=5``. To produce -these sets, the steps described in :ref:`howto nf variations`. In particular, -the ID's of the required theories can be found in the -:ref:`theory dabase `, -where the id's of the theories used to do the flavor-number variations are -218-227. - -.. warning:: - Please note that the Hessian and ``_pdfas`` conversion runcards won't work - with the 4.0.3 version of the code (and thus the fixed enviroment) and - instead require a version 4.0.4 or newer. - diff --git a/n3fit/runcards/examples/Basic_feature_scaling.yml b/n3fit/runcards/examples/Basic_feature_scaling.yml index 5eb4b3fd50..a6d3e8e224 100644 --- a/n3fit/runcards/examples/Basic_feature_scaling.yml +++ b/n3fit/runcards/examples/Basic_feature_scaling.yml @@ -1,37 +1,27 @@ # # Configuration file for n3fit # - ############################################################ -description: Basic feature scaling +description: Basic feature scaling ############################################################ # frac: training fraction # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- { dataset: SLACP, frac: 0.5} -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} +- {dataset: SLAC_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: NMC_NC_NOTFIXED_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: CMS_1JET_8TEV_PTY, frac: 0.75, cfac: [], variant: legacy} ############################################################ datacuts: t0pdfset : NNPDF40_nnlo_as_01180 # PDF set to generate t0 covmat q2min : 3.49 # Q2 minimum w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut ############################################################ theory: - theoryid: 200 # database id + theoryid: 708 # database id sampling: separate_multiplicative: true @@ -86,13 +76,13 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSFLL, maxlambda: 1e4 } + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6} ############################################################ integrability: integdatasets: - - {dataset: INTEGXT3, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT3, maxlambda: 1e2} ############################################################ debug: True diff --git a/n3fit/runcards/examples/Basic_hyperopt.yml b/n3fit/runcards/examples/Basic_hyperopt.yml index 1bff746fab..ded3f8b392 100644 --- a/n3fit/runcards/examples/Basic_hyperopt.yml +++ b/n3fit/runcards/examples/Basic_hyperopt.yml @@ -3,30 +3,31 @@ # ############################################################ description: Hyperopt example + ############################################################ # frac: training fraction # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: # Fixed target DIS -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75} +- {dataset: NMC_NC_NOTFIXED_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_P_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: BCDMS_NC_NOTFIXED_P_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: BCDMS_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: CHORUS_CC_NOTFIXED_PB_DW_NU-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: CHORUS_CC_NOTFIXED_PB_DW_NB-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: NUTEV_CC_NOTFIXED_FE_DW_NU-SIGMARED, cfac: [MAS], frac: 0.75, variant: legacy} +- {dataset: NUTEV_CC_NOTFIXED_FE_DW_NB-SIGMARED, cfac: [MAS], frac: 0.75, variant: legacy} # HERA data -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} +- {dataset: HERA_NC_318GEV_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_225GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_251GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_300GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_CC_318GEV_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_CC_318GEV_EP-SIGMARED, frac: 0.75, variant: legacy} ############################################################ @@ -34,22 +35,15 @@ datacuts: t0pdfset : NNPDF40_nnlo_as_01180 # PDF set to generate t0 covmat q2min: 3.49 # Q2 minimum w2min: 12.5 # W2 minimum - combocuts: NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev: 0 # jet pt cut for tevatron - jetptcut_lhc: 0 # jet pt cut for lhc - wptcut_lhc: 30.0 # Minimum pT for W pT diff distributions - jetycut_tev: 1e30 # jet rap. cut for tevatron - jetycut_lhc: 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut: 1e30 # jet cfact. cut ############################################################ theory: - theoryid: 200 # database id + theoryid: 708 # database id sampling: separate_multiplicative: true + +############################################################ hyperscan_config: stopping: min_epochs: 1e3 @@ -89,23 +83,23 @@ kfold: threshold: 20.0 partitions: - datasets: - - HERACOMBCCEM - - HERACOMBNCEP460 - - NMC - - NTVNBDMNFe_dw_ite + - HERA_CC_318GEV_EM-SIGMARED + - HERA_NC_225GEV_EP-SIGMARED + - NMC_NC_NOTFIXED_P_EM-SIGMARED + - NUTEV_CC_NOTFIXED_FE_DW_NB-SIGMARED - datasets: - - HERACOMBCCEP - - HERACOMBNCEP575 - - NMCPD_dw_ite - - NTVNUDMNFe_dw_ite + - HERA_CC_318GEV_EP-SIGMARED + - HERA_NC_251GEV_EP-SIGMARED + - NMC_NC_NOTFIXED_DW_EM-F2 + - NUTEV_CC_NOTFIXED_FE_DW_NU-SIGMARED - datasets: - - CHORUSNBPb_dw_ite - - HERACOMBNCEP820 - - BCDMSD_dw_ite + - CHORUS_CC_NOTFIXED_PB_DW_NB-SIGMARED + - HERA_NC_300GEV_EP-SIGMARED + - BCDMS_NC_NOTFIXED_D_DW_EM-F2 - datasets: - - CHORUSNUPb_dw_ite - - HERACOMBNCEP920 - - BCDMSP_dwsh + - CHORUS_CC_NOTFIXED_PB_DW_NU-SIGMARED + - HERA_NC_318GEV_EP-SIGMARED + - BCDMS_NC_NOTFIXED_P_DW_EM-F2 ############################################################ trvlseed: 1 @@ -149,13 +143,13 @@ fitting: ############################################################ positivity: posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_F2D, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_F2S, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_F2C-17PTS, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_DYU, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_DYD, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e10} ############################################################ debug: false diff --git a/n3fit/runcards/examples/Basic_runcard.yml b/n3fit/runcards/examples/Basic_runcard.yml index ab14cdeb71..89a3294dd4 100644 --- a/n3fit/runcards/examples/Basic_runcard.yml +++ b/n3fit/runcards/examples/Basic_runcard.yml @@ -1,7 +1,6 @@ # # Configuration file for n3fit # - ############################################################ description: Basic runcard @@ -10,28 +9,19 @@ description: Basic runcard # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- { dataset: SLACP_dwsh, frac: 0.5} -- { dataset: NMCPD_dw, frac: 0.5 } -- { dataset: ATLASZPT8TEVMDIST, frac: 0.75, sys: 10, cfac: [QCD] } +- {dataset: NMC_NC_NOTFIXED_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0J_8TEV_PT-M, frac: 0.75, cfac: [], variant: legacy_10} ############################################################ datacuts: t0pdfset : NNPDF40_nnlo_as_01180 # PDF set to generate t0 covmat q2min : 3.49 # Q2 minimum w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut ############################################################ theory: - theoryid: 200 # database id + theoryid: 708 # database id sampling: separate_multiplicative: true @@ -79,13 +69,13 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSFLL, maxlambda: 1e4 } + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6} ############################################################ integrability: integdatasets: - - {dataset: INTEGXT3, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT3, maxlambda: 1e2} ############################################################ debug: True diff --git a/n3fit/runcards/examples/Basic_runcard_parallel.yml b/n3fit/runcards/examples/Basic_runcard_parallel.yml index 32853e4413..a515fe04a6 100644 --- a/n3fit/runcards/examples/Basic_runcard_parallel.yml +++ b/n3fit/runcards/examples/Basic_runcard_parallel.yml @@ -1,7 +1,6 @@ # # Configuration file for n3fit # - ############################################################ description: Basic runcard @@ -10,29 +9,20 @@ description: Basic runcard # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- { dataset: SLACP, frac: 0.5} -- { dataset: NMC, frac: 0.5 } -- { dataset: NMCPD, frac: 0.5 } -- { dataset: CMSJETS11, frac: 0.5, sys: 10 } +- {dataset: SLAC_NC_NOTFIXED_P_EM-F2, frac: 0.75, variant: legacy} +- {dataset: NMC_NC_NOTFIXED_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: CMS_1JET_8TEV_PTY, frac: 0.75, cfac: [], variant: legacy} ############################################################ datacuts: t0pdfset : NNPDF40_nnlo_as_01180 # PDF set to generate t0 covmat q2min : 3.49 # Q2 minimum w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut ############################################################ theory: - theoryid: 162 # database id + theoryid: 708 # database id sampling: separate_multiplicative: true @@ -82,8 +72,8 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSFLL, maxlambda: 1e4 } + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6} ############################################################ debug: False diff --git a/n3fit/runcards/examples/Basic_runcard_qed.yml b/n3fit/runcards/examples/Basic_runcard_qed.yml index 9fd98ce1b1..5eca6843a7 100644 --- a/n3fit/runcards/examples/Basic_runcard_qed.yml +++ b/n3fit/runcards/examples/Basic_runcard_qed.yml @@ -9,83 +9,10 @@ description: Basic runcard qed # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -# - {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -# - {dataset: SLACD_dw_ite, frac: 0.75} -# - {dataset: BCDMSP_dwsh, frac: 0.75} -# - {dataset: BCDMSD_dw_ite, frac: 0.75} -# - {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -# - {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -# - {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -# - {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -# - {dataset: HERACOMBNCEM, frac: 0.75} -# - {dataset: HERACOMBNCEP460, frac: 0.75} -# - {dataset: HERACOMBNCEP575, frac: 0.75} -# - {dataset: HERACOMBNCEP820, frac: 0.75} -# - {dataset: HERACOMBNCEP920, frac: 0.75} -# - {dataset: HERACOMBCCEM, frac: 0.75} -# - {dataset: HERACOMBCCEP, frac: 0.75} -# - {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -# - {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -# - {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -# - {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -# - {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -# - {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -# - {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -# - {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -# - {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -# - {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -# - {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -# - {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -# - {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -# - {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -# - {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -# - {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -# - {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -# - {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -# - {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -# - {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -# - {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -# - {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -# - {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} +- {dataset: NMC_NC_NOTFIXED_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0J_8TEV_PT-M, frac: 0.75, cfac: [], variant: legacy_10} + ############################################################ datacuts: @@ -95,7 +22,7 @@ datacuts: ############################################################ theory: - theoryid: 523 # database id + theoryid: 702 # database id ############################################################ trvlseed: 1551864071 @@ -139,27 +66,13 @@ fitting: ############################################################ positivity: posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - # - {dataset: POSF2DW, maxlambda: 1e6} - # - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - # - {dataset: POSDYU, maxlambda: 1e10} - # - {dataset: POSDYD, maxlambda: 1e10} - # - {dataset: POSDYS, maxlambda: 1e10} - # - {dataset: POSF2C, maxlambda: 1e6} - # - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - # - {dataset: POSXUB, maxlambda: 1e6} - # - {dataset: POSXDQ, maxlambda: 1e6} - # - {dataset: POSXDB, maxlambda: 1e6} - # - {dataset: POSXSQ, maxlambda: 1e6} - # - {dataset: POSXSB, maxlambda: 1e6} - # - {dataset: POSXGL, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6} ############################################################ integrability: integdatasets: - # - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT3, maxlambda: 1e2} ############################################################ debug: True diff --git a/n3fit/runcards/examples/DIS_diagonal_l2reg_example.yml b/n3fit/runcards/examples/DIS_diagonal_l2reg_example.yml index ff607d1a5b..7de4b5ce7f 100644 --- a/n3fit/runcards/examples/DIS_diagonal_l2reg_example.yml +++ b/n3fit/runcards/examples/DIS_diagonal_l2reg_example.yml @@ -1,67 +1,50 @@ # # Configuration file for n3fit # - ############################################################ -description: NNPDF3.1 NNLO DIS only in basis which diagonalises experimental covmat with l2 regularizer +description: NNLO DIS only in basis which diagonalises experimental covmat with l2 regularizer ############################################################ # frac: training fraction # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -# Fixed target DIS -- { dataset: NMCPD, frac: 0.5 } -- { dataset: NMC, frac: 0.5 } -- { dataset: SLACP, frac: 0.5} -- { dataset: SLACD, frac: 0.5} -- { dataset: BCDMSP, frac: 0.5} -- { dataset: BCDMSD, frac: 0.5} -- { dataset: CHORUSNU, frac: 0.5} -- { dataset: CHORUSNB, frac: 0.5} -- { dataset: NTVNUDMN, frac: 0.5} -- { dataset: NTVNBDMN, frac: 0.5} -# EMC F2C data -# - { dataset: EMCF2C, frac: 1.0} -# HERA data -- { dataset: HERACOMBNCEM , frac: 0.5} -- { dataset: HERACOMBNCEP460, frac: 0.5} -- { dataset: HERACOMBNCEP575, frac: 0.5} -- { dataset: HERACOMBNCEP820, frac: 0.5} -- { dataset: HERACOMBNCEP920, frac: 0.5} -- { dataset: HERACOMBCCEM , frac: 0.5} -- { dataset: HERACOMBCCEP , frac: 0.5} -# Combined HERA charm production cross-sections -- { dataset: HERAF2CHARM, frac: 0.5} -# F2bottom data -- { dataset: H1HERAF2B, frac: 1.0} -- { dataset: ZEUSHERAF2B, frac: 1.0} +- {dataset: NMC_NC_NOTFIXED_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_P_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: BCDMS_NC_NOTFIXED_P_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: BCDMS_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: CHORUS_CC_NOTFIXED_PB_DW_NU-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: CHORUS_CC_NOTFIXED_PB_DW_NB-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: NUTEV_CC_NOTFIXED_FE_DW_NU-SIGMARED, cfac: [MAS], frac: 0.75, variant: legacy} +- {dataset: NUTEV_CC_NOTFIXED_FE_DW_NB-SIGMARED, cfac: [MAS], frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_225GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_251GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_300GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_CC_318GEV_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_CC_318GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EAVG_CHARM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EAVG_BOTTOM-SIGMARED, frac: 0.75, variant: legacy} ############################################################ datacuts: t0pdfset : NNPDF40_nnlo_as_01180 # PDF set to generate t0 covmat q2min : 3.49 # Q2 minimum w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut ############################################################ theory: - theoryid: 162 # database id + theoryid: 708 # database id sampling: separate_multiplicative: true ############################################################ trvlseed: 1 nnseed: 2 -mcseed: 3 +mcseed: 3 save: False load: False @@ -106,13 +89,13 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSF2DW, maxlambda: 1e6 } - - { dataset: POSF2S, maxlambda: 1e6 } - - { dataset: POSFLL, maxlambda: 1e6 } - - { dataset: POSDYU, maxlambda: 1e10 } - - { dataset: POSDYD, maxlambda: 1e10 } - - { dataset: POSDYS, maxlambda: 1e10 } + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_F2D, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_F2S, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_DYU, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_DYD, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e10} ############################################################ debug: False diff --git a/n3fit/runcards/examples/Fit_with_theory_covmat.yml b/n3fit/runcards/examples/Fit_with_theory_covmat.yml index 5ec686c8c9..8064dff0f8 100644 --- a/n3fit/runcards/examples/Fit_with_theory_covmat.yml +++ b/n3fit/runcards/examples/Fit_with_theory_covmat.yml @@ -9,64 +9,23 @@ description: "NNPDF4.0 methodology fit with theory covariance matrix (9pt prescr # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: - - {dataset: NMCPD, frac: 0.5} - - {dataset: NMC, frac: 0.5} - - {dataset: SLACP, frac: 0.5} - - {dataset: SLACD, frac: 0.5} - - {dataset: BCDMSP, frac: 0.5} - - {dataset: BCDMSD, frac: 0.5} - - {dataset: CHORUSNU, frac: 0.5} - - {dataset: CHORUSNB, frac: 0.5} - - {dataset: NTVNUDMN, frac: 0.5} - - {dataset: NTVNBDMN, frac: 0.5} - - {dataset: HERACOMBNCEM, frac: 0.5} - - {dataset: HERACOMBNCEP460, frac: 0.5} - - {dataset: HERACOMBNCEP575, frac: 0.5} - - {dataset: HERACOMBNCEP820, frac: 0.5} - - {dataset: HERACOMBNCEP920, frac: 0.5} - - {dataset: HERACOMBCCEM, frac: 0.5} - - {dataset: HERACOMBCCEP, frac: 0.5} - - {dataset: HERAF2CHARM, frac: 0.5} - - {dataset: CDFZRAP, frac: 1.0} - - {dataset: D0ZRAP, frac: 1.0} - - {dataset: D0WEASY, frac: 1.0} - - {dataset: D0WMASY, frac: 1.0} - - {dataset: ATLASWZRAP36PB, frac: 1.0} - - {dataset: ATLASZHIGHMASS49FB, frac: 1.0} - - {dataset: ATLASLOMASSDY11EXT, frac: 1.0} - - {dataset: ATLASWZRAP11, frac: 0.5} - - {dataset: ATLAS1JET11, frac: 0.5} - - {dataset: ATLASZPT8TEVMDIST, frac: 0.5} - - {dataset: ATLASZPT8TEVYDIST, frac: 0.5} - - {dataset: ATLASTTBARTOT, frac: 1.0} - - {dataset: ATLASTOPDIFF8TEVTRAPNORM, frac: 1.0} - - {dataset: CMSWEASY840PB, frac: 1.0} - - {dataset: CMSWMASY47FB, frac: 1.0} - - {dataset: CMSDY2D11, frac: 0.5} - - {dataset: CMSWMU8TEV, frac: 1.0} - - {dataset: CMSZDIFF12, frac: 1.0, cfac: [NRM]} - - {dataset: CMSJETS11, frac: 0.5} - - {dataset: CMSTTBARTOT, frac: 1.0} - - {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 1.0} - - {dataset: LHCBZ940PB, frac: 1.0} - - {dataset: LHCBZEE2FB, frac: 1.0} - - {dataset: LHCBWZMU7TEV, frac: 1.0, cfac: [NRM]} - - {dataset: LHCBWZMU8TEV, frac: 1.0, cfac: [NRM]} - +- {dataset: NMC_NC_NOTFIXED_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0J_8TEV_PT-M, frac: 0.75, cfac: [], variant: legacy_10} ############################################################ -datacuts: +datacuts: t0pdfset: 190310-tg-nlo-global # PDF set to generate t0 covmat q2min: 13.96 # Q2 minimum w2min: 12.5 # W2 minimum use_cuts: fromintersection cuts_intersection_spec: - - theoryid: 163 - - theoryid: 53 + - theoryid: 708 + - theoryid: 701 ############################################################ theory: - theoryid: 163 # database id + theoryid: 708 # database id theorycovmatconfig: point_prescription: "9 point" theoryids: @@ -99,6 +58,7 @@ parameters: # This defines the parameter dictionary that is passed to the Model layer_type: dense dropout: 0.0 threshold_chi2: 3.5 + ############################################################ fitting: fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. @@ -115,20 +75,20 @@ fitting: ############################################################ positivity: posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_F2D, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_F2S, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_DYU, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_DYD, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e10} ############################################################ integrability: integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT3, maxlambda: 1e2} + ############################################################ debug: False maxcores: 4 diff --git a/n3fit/runcards/examples/developing.yml b/n3fit/runcards/examples/developing.yml index 535afda0e9..d25ea46fd2 100644 --- a/n3fit/runcards/examples/developing.yml +++ b/n3fit/runcards/examples/developing.yml @@ -1,7 +1,6 @@ # # Configuration file for n3fit # - ############################################################ description: Regression runcard for the automatic github fitbot @@ -10,57 +9,48 @@ description: Regression runcard for the automatic github fitbot # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} +- {dataset: NMC_NC_NOTFIXED_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_P_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: BCDMS_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: CHORUS_CC_NOTFIXED_PB_DW_NB-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: NUTEV_CC_NOTFIXED_FE_DW_NB-SIGMARED, cfac: [MAS], frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_251GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_CC_318GEV_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_CC_318GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EAVG_CHARM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EAVG_BOTTOM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: DYE605_Z0_38P8GEV_DW_PXSEC, frac: 0.75, cfac: [], variant: legacy} +- {dataset: CDF_Z0_1P96TEV_ZRAP, frac: 0.75, cfac: [], variant: legacy} +- {dataset: D0_Z0_1P96TEV_ZRAP, frac: 0.75, cfac: [], variant: legacy} +- {dataset: D0_WPWM_1P96TEV_ASY, frac: 0.75, cfac: [], variant: legacy} +- {dataset: ATLAS_DY_7TEV_36PB_ETA, frac: 0.75, cfac: [], variant: legacy} +- {dataset: ATLAS_Z0_7TEV_49FB_HIMASS, frac: 0.75, cfac: [], variant: legacy} +- {dataset: ATLAS_WJ_JET_8TEV_WM-PT, frac: 0.75, cfac: [], variant: legacy} +- {dataset: ATLAS_Z0J_8TEV_PT-Y, frac: 0.75, cfac: [], variant: legacy_10} +- {dataset: ATLAS_TTBAR_8TEV_TOT_X-SEC, frac: 0.75, cfac: [], variant: legacy} +- {dataset: ATLAS_1JET_8TEV_R06_PTY, frac: 0.75, cfac: [], variant: legacy_decorrelated} +- {dataset: CMS_WPWM_7TEV_ELECTRON_ASY, frac: 0.75, cfac: []} +- {dataset: CMS_Z0_7TEV_DIMUON_2D, frac: 0.75, cfac: []} +- {dataset: CMS_WPWM_8TEV_MUON_Y, frac: 0.75, cfac: [], variant: legacy} +- {dataset: CMS_TTBAR_8TEV_2L_DIF_MTTBAR-YT-NORM, frac: 0.75, cfac: [], variant: legacy} +- {dataset: CMS_SINGLETOP_13TEV_TCHANNEL-XSEC, frac: 0.75, cfac: [], variant: legacy} +- {dataset: LHCB_Z0_7TEV_DIELECTRON_Y, frac: 0.75, cfac: []} +- {dataset: LHCB_Z0_8TEV_DIELECTRON_Y, frac: 0.75, cfac: []} +- {dataset: LHCB_Z0_13TEV_DIELECTRON-Y, frac: 0.75, cfac: []} ############################################################ datacuts: t0pdfset: 210219-02-rs-nnpdf40-1000 # PDF set to generate t0 covmat q2min : 3.49 # Q2 minimum w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut ############################################################ theory: - theoryid: 200 # database id + theoryid: 708 # database id sampling: separate_multiplicative: true @@ -106,20 +96,20 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - { dataset: POSDYU, maxlambda: 1e10} - - { dataset: POSDYD, maxlambda: 1e10} - - { dataset: POSDYS, maxlambda: 1e10} - - { dataset: POSXDB, maxlambda: 1e6} - - { dataset: POSXSQ, maxlambda: 1e6} - - { dataset: POSXSB, maxlambda: 1e6} - - { dataset: POSXGL, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_F2D, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_DYU, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_DYD, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_XDB, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_XSQ, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_XSB, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_XGL, maxlambda: 1e6} integrability: - integdatasets: - - { dataset: INTEGXT8, maxlambda: 1e2} - - { dataset: INTEGXT3, maxlambda: 1e2} + integdatasets: + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT3, maxlambda: 1e2} ############################################################ debug: True diff --git a/n3fit/runcards/examples/nnpdf40-like.yml b/n3fit/runcards/examples/nnpdf40-like.yml new file mode 100644 index 0000000000..5e60477a9e --- /dev/null +++ b/n3fit/runcards/examples/nnpdf40-like.yml @@ -0,0 +1,167 @@ +# +# Configuration file for n3fit +# +################################################################### +description: NNPDF4.0 NNLO baseline fit with theory 708 (nFONLL, new commondata) +dataset_inputs: +- {dataset: NMC_NC_NOTFIXED_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_P_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: BCDMS_NC_NOTFIXED_P_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: BCDMS_NC_NOTFIXED_D_DW_EM-F2, frac: 0.75, variant: legacy} +- {dataset: CHORUS_CC_NOTFIXED_PB_DW_NU-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: CHORUS_CC_NOTFIXED_PB_DW_NB-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: NUTEV_CC_NOTFIXED_FE_DW_NU-SIGMARED, cfac: [MAS], frac: 0.75, variant: legacy} +- {dataset: NUTEV_CC_NOTFIXED_FE_DW_NB-SIGMARED, cfac: [MAS], frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_225GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_251GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_300GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_CC_318GEV_EM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_CC_318GEV_EP-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EAVG_CHARM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: HERA_NC_318GEV_EAVG_BOTTOM-SIGMARED, frac: 0.75, variant: legacy} +- {dataset: DYE866_Z0_800GEV_DW_RATIO_PDXSECRATIO, frac: 0.75, variant: legacy} +- {dataset: DYE866_Z0_800GEV_PXSEC, frac: 0.75, variant: legacy} +- {dataset: DYE605_Z0_38P8GEV_DW_PXSEC, frac: 0.75, variant: legacy} +- {dataset: DYE906_Z0_120GEV_DW_PDXSECRATIO, frac: 0.75, cfac: [ACC], variant: legacy} +- {dataset: CDF_Z0_1P96TEV_ZRAP, frac: 0.75, variant: legacy} +- {dataset: D0_Z0_1P96TEV_ZRAP, frac: 0.75, variant: legacy} +- {dataset: D0_WPWM_1P96TEV_ASY, frac: 0.75, variant: legacy} +- {dataset: ATLAS_WPWM_7TEV_36PB_ETA, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0_7TEV_36PB_ETA, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0_7TEV_49FB_HIMASS, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0_7TEV_LOMASS_M, frac: 0.75, variant: legacy} +- {dataset: ATLAS_WPWM_7TEV_46FB_CC-ETA, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0_7TEV_46FB_CC-Y, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0_7TEV_46FB_CF-Y, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0_8TEV_HIMASS_M-Y, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0_8TEV_LOWMASS_M-Y, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0_13TEV_TOT, frac: 0.75, cfac: [NRM], variant: legacy} +- {dataset: ATLAS_WPWM_13TEV_TOT, frac: 0.75, cfac: [NRM], variant: legacy} +- {dataset: ATLAS_WJ_JET_8TEV_WP-PT, frac: 0.75, variant: legacy} +- {dataset: ATLAS_WJ_JET_8TEV_WM-PT, frac: 0.75, variant: legacy} +- {dataset: ATLAS_Z0J_8TEV_PT-M, frac: 0.75, variant: legacy_10} +- {dataset: ATLAS_Z0J_8TEV_PT-Y, frac: 0.75, variant: legacy_10} +- {dataset: ATLAS_TTBAR_7TEV_TOT_X-SEC, frac: 0.75, variant: legacy} +- {dataset: ATLAS_TTBAR_8TEV_TOT_X-SEC, frac: 0.75, variant: legacy} +- {dataset: ATLAS_TTBAR_13TEV_TOT_X-SEC, frac: 0.75, variant: legacy} +- {dataset: ATLAS_TTBAR_8TEV_LJ_DIF_YT-NORM, frac: 0.75, variant: legacy} +- {dataset: ATLAS_TTBAR_8TEV_LJ_DIF_YTTBAR-NORM, frac: 0.75, variant: legacy} +- {dataset: ATLAS_TTBAR_8TEV_2L_DIF_YTTBAR-NORM, frac: 0.75, variant: legacy} +- {dataset: ATLAS_1JET_8TEV_R06_PTY, frac: 0.75, variant: legacy_decorrelated} +- {dataset: ATLAS_2JET_7TEV_R06_M12Y, frac: 0.75, variant: legacy} +- {dataset: ATLAS_PH_13TEV_XSEC, frac: 0.75, cfac: [EWK], variant: legacy} +- {dataset: ATLAS_SINGLETOP_7TEV_TCHANNEL-XSEC, frac: 0.75, variant: legacy} +- {dataset: ATLAS_SINGLETOP_13TEV_TCHANNEL-XSEC, frac: 0.75, variant: legacy} +- {dataset: ATLAS_SINGLETOP_7TEV_T-Y-NORM, frac: 0.75, variant: legacy} +- {dataset: ATLAS_SINGLETOP_7TEV_TBAR-Y-NORM, frac: 0.75, variant: legacy} +- {dataset: ATLAS_SINGLETOP_8TEV_T-RAP-NORM, frac: 0.75, variant: legacy} +- {dataset: ATLAS_SINGLETOP_8TEV_TBAR-RAP-NORM, frac: 0.75, variant: legacy} +- {dataset: CMS_WPWM_7TEV_ELECTRON_ASY, frac: 0.75} +- {dataset: CMS_WPWM_7TEV_MUON_ASY, frac: 0.75, variant: legacy} +- {dataset: CMS_Z0_7TEV_DIMUON_2D, frac: 0.75} +- {dataset: CMS_WPWM_8TEV_MUON_Y, frac: 0.75, variant: legacy} +- {dataset: CMS_Z0J_8TEV_PT-Y, frac: 0.75, cfac: [NRM], variant: legacy_10} +- {dataset: CMS_2JET_7TEV_M12Y, frac: 0.75} +- {dataset: CMS_1JET_8TEV_PTY, frac: 0.75, variant: legacy} +- {dataset: CMS_TTBAR_7TEV_TOT_X-SEC, frac: 0.75, variant: legacy} +- {dataset: CMS_TTBAR_8TEV_TOT_X-SEC, frac: 0.75, variant: legacy} +- {dataset: CMS_TTBAR_13TEV_TOT_X-SEC, frac: 0.75, variant: legacy} +- {dataset: CMS_TTBAR_8TEV_LJ_DIF_YTTBAR-NORM, frac: 0.75, variant: legacy} +- {dataset: CMS_TTBAR_5TEV_TOT_X-SEC, frac: 0.75, variant: legacy} +- {dataset: CMS_TTBAR_8TEV_2L_DIF_MTTBAR-YT-NORM, frac: 0.75, variant: legacy} +- {dataset: CMS_TTBAR_13TEV_2L_DIF_YT, frac: 0.75, variant: legacy} +- {dataset: CMS_TTBAR_13TEV_LJ_2016_DIF_YTTBAR, frac: 0.75, variant: legacy} +- {dataset: CMS_SINGLETOP_7TEV_TCHANNEL-XSEC, frac: 0.75, variant: legacy} +- {dataset: CMS_SINGLETOP_8TEV_TCHANNEL-XSEC, frac: 0.75, variant: legacy} +- {dataset: CMS_SINGLETOP_13TEV_TCHANNEL-XSEC, frac: 0.75, variant: legacy} +- {dataset: LHCB_Z0_7TEV_DIELECTRON_Y, frac: 0.75} +- {dataset: LHCB_Z0_8TEV_DIELECTRON_Y, frac: 0.75} +- {dataset: LHCB_WPWM_7TEV_MUON_Y, frac: 0.75, cfac: [NRM]} +- {dataset: LHCB_Z0_7TEV_MUON_Y, frac: 0.75, cfac: [NRM]} +- {dataset: LHCB_WPWM_8TEV_MUON_Y, frac: 0.75, cfac: [NRM]} +- {dataset: LHCB_Z0_8TEV_MUON_Y, frac: 0.75, cfac: [NRM]} +- {dataset: LHCB_Z0_13TEV_DIMUON-Y, frac: 0.75} +- {dataset: LHCB_Z0_13TEV_DIELECTRON-Y, frac: 0.75} + +############################################################ +datacuts: + t0pdfset: 240329-01-rs-nnpdf40like-baseline + q2min: 3.49 + w2min: 12.5 + +############################################################ +theory: + theoryid: 708 +sampling: + separate_multiplicative: false + +############################################################ +trvlseed: 591866982 +nnseed: 945709987 +mcseed: 519562661 +genrep: true + +parameters: # This defines the parameter dictionary that is passed to the Model Trainer + nodes_per_layer: [25, 20, 8] + activation_per_layer: [tanh, tanh, linear] + initializer: glorot_normal + optimizer: + clipnorm: 6.073e-6 + learning_rate: 2.621e-3 + optimizer_name: Nadam + epochs: 17000 + positivity: + initial: 184.8 + multiplier: + integrability: + initial: 10 + multiplier: + stopping_patience: 0.1 + layer_type: dense + dropout: 0.0 + threshold_chi2: 3.5 + +fitting: + fitbasis: EVOL + basis: + - {fl: sng, trainable: false, smallx: [1.092, 1.118], largex: [1.479, 3.037]} + - {fl: g, trainable: false, smallx: [0.8048, 1.053], largex: [2.828, 5.503]} + - {fl: v, trainable: false, smallx: [0.4678, 0.744], largex: [1.547, 3.319]} + - {fl: v3, trainable: false, smallx: [0.1268, 0.4549], largex: [1.725, 3.38]} + - {fl: v8, trainable: false, smallx: [0.5864, 0.7822], largex: [1.533, 3.282]} + - {fl: t3, trainable: false, smallx: [-0.436, 1.0], largex: [1.771, 3.47]} + - {fl: t8, trainable: false, smallx: [0.5878, 0.874], largex: [1.548, 3.265]} + - {fl: t15, trainable: false, smallx: [1.087, 1.146], largex: [1.493, 3.441]} + +############################################################ +positivity: + posdatasets: + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_F2D, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_F2S, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_DYU, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_DYD, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e10} + - {dataset: NNPDF_POS_2P24GEV_F2C-17PTS, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_XUQ, maxlambda: 1e6} # Positivity of MSbar PDFs + - {dataset: NNPDF_POS_2P24GEV_XUB, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_XDQ, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_XDB, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_XSQ, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_XSB, maxlambda: 1e6} + - {dataset: NNPDF_POS_2P24GEV_XGL, maxlambda: 1e6} + +############################################################ +integrability: + integdatasets: + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT3, maxlambda: 1e2} + +############################################################ +debug: false +maxcores: 8 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_hyperopt.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_hyperopt.yml deleted file mode 100644 index b83a09d249..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_hyperopt.yml +++ /dev/null @@ -1,310 +0,0 @@ -# -# Configuration file for n3fit -# -############################################################ -description: "NNPDF4.0 NNLO reduced set for hyperoptimization" -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -dataset_inputs: -- {dataset: NMCPD_dw, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw, frac: 0.75} -- {dataset: CHORUSNUPb_dw, frac: 0.75} -- {dataset: CHORUSNBPb_dw, frac: 0.75} -- {dataset: NTVNUDMNFe_dw, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} # N -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} # N -- {dataset: DYE886R_dw, frac: 0.75} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw, frac: 0.75, cfac: [QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} # N -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} # N -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLASPHT15, frac: 0.75, cfac: [QCD, EWK]} # N -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} # N -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} # N -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} # N -- {dataset: CMS_2JET_3D_8TEV, frac: 0.75, cfac: [QCD]} # N -- {dataset: CMSTTBARTOT, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} # N -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} # N -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} # N -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} # N -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} # N -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} # N -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} # N -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} # N -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} # N - - -############################################################ -datacuts: - t0pdfset: NNPDF31_nnlo_as_0118 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - combocuts: NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev: 0 # jet pt cut for tevatron - jetptcut_lhc: 0 # jet pt cut for lhc - wptcut_lhc: 30.0 # Minimum pT for W pT diff distributions - jetycut_tev: 1e30 # jet rap. cut for tevatron - jetycut_lhc: 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut: 1e30 # jet cfact. cut - -############################################################ -theory: - theoryid: 200 # database id - -hyperscan: - stopping: - min_epochs: 15e3 - max_epochs: 45e3 - min_patience: 0.1 - max_patience: 0.3 - positivity: - min_initial: 1 - max_initial: 1000 - integrability: - min_initial: 2 - max_initial: 50 - optimizer: - - optimizer_name: 'Adadelta' - learning_rate: - sampling: log - min: 1e-1 - max: 10 - clipnorm: - sampling: log - min: 1e-3 - max: 1e0 - - optimizer_name: 'Amsgrad' - learning_rate: - sampling: log - min: 1e-4 - max: 1e-2 - clipnorm: - sampling: log - min: 1e-7 - max: 1e-4 - - optimizer_name: 'Nadam' - learning_rate: - sampling: log - min: 1e-4 - max: 1e-2 - clipnorm: - sampling: log - min: 1e-7 - max: 1e-4 - - optimizer_name: 'Adam' - learning_rate: - sampling: log - min: 1e-4 - max: 1e-2 - clipnorm: - sampling: log - min: 1e-7 - max: 1e-4 - architecture: - initializers: ['glorot_normal', 'glorot_uniform'] - max_drop: 0.5 - n_layers: [1,2,3,4] - min_units: 10 - max_units: 45 - activations: ['tanh', 'sigmoid'] - kfold: - target: average - penalties: - - saturation - - patience - - integrability - threshold: 10 - partitions: - - datasets: - # DIS - - HERACOMBCCEM - - HERACOMBNCEP460 - - HERACOMB_SIGMARED_B - - NMC - - NTVNBDMNFe_dw - # EWK - - LHCBZEE2FB - - CMSWEASY840PB - - ATLASZPT8TEVMDIST - - D0WMASY - - DYE886P - # JETS+TOP - - ATLASPHT15 - - ATLAS_2JET_7TEV_R06 - - ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM - - CMSTTBARTOT - - CMS_SINGLETOP_TCH_TOT_7TEV - - datasets: - # DIS - - CHORUSNUPb_dw - - HERACOMBNCEP920 - - BCDMSP_dwsh - # EWK - - LHCBZ940PB - - ATLASWZRAP36PB - - CMSZDIFF12 - - DYE605_dw - - CMSDY2D11 - # JET+TOP - - CMS_2JET_3D_8TEV - - ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM - - ATLAS_SINGLETOP_TCH_R_7TEV - - CMSTOPDIFF8TEVTTRAPNORM - - CMS_SINGLETOP_TCH_R_8TEV - - datasets: - # DIS - - HERACOMBCCEP - - HERACOMBNCEP575 - - NMCPD_dw - - NTVNUDMNFe_dw - # EWK - - LHCBWZMU7TEV - - LHCB_Z_13TEV_DIELECTRON - - ATLASWZRAP11CC - - ATLAS_WP_JET_8TEV_PT - - ATLASZHIGHMASS49FB - - CMSWMASY47FB - - DYE886R_dw - - CDFZRAP_NEW - # JET+TOP - - ATLASTTBARTOT - - ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM - - CMSTTBARTOT5TEV - - CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM - - datasets: - # DIS - - CHORUSNBPb_dw - - HERACOMBNCEP820 - # EWK - - LHCBWZMU8TEV - - LHCB_Z_13TEV_DIMUON - - ATLASWZRAP11CF - - ATLAS_WM_JET_8TEV_PT - - ATLASLOMASSDY11EXT - - ATLASZPT8TEVYDIST - - CMSWMU8TEV - - D0ZRAP - # JET+TOP - - CMS_2JET_7TEV - - ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM - - ATLAS_SINGLETOP_TCH_R_13TEV - - CMS_SINGLETOP_TCH_R_13TEV - -############################################################ -trvlseed: 2182363835 -nnseed: 4044040809 -mcseed: 1977428487 -genrep: false # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [18, 24, 36, 8] - activation_per_layer: [tanh, sigmoid, sigmoid, linear] - initializer: glorot_normal - optimizer: - clipnorm: 2.0e-5 - learning_rate: 2.0e-3 - optimizer_name: Nadam - epochs: 45000 - positivity: - initial: 338 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.15 - layer_type: dense - dropout: 0.0 - -fitting: - # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) - # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) - # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) - # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.086, 1.121], largex: [1.459, 3.165]} - - {fl: g, trainable: false, smallx: [0.7832, 1.059], largex: [2.734, 8.173]} - - {fl: v, trainable: false, smallx: [0.5596, 0.7524], largex: [1.534, 3.82]} - - {fl: v3, trainable: false, smallx: [-0.0291, 0.5957], largex: [1.708, 3.706]} - - {fl: v8, trainable: false, smallx: [0.6072, 0.819], largex: [1.519, 3.691]} - - {fl: t3, trainable: false, smallx: [-0.4322, 1.087], largex: [1.718, 3.742]} - - {fl: t8, trainable: false, smallx: [0.6132, 0.958], largex: [1.531, 3.506]} - - {fl: t15, trainable: false, smallx: [1.057, 1.142], largex: [1.469, 3.23]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_lo_as_01180.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_lo_as_01180.yml deleted file mode 100644 index 73ff33d034..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_lo_as_01180.yml +++ /dev/null @@ -1,280 +0,0 @@ -# -# Configuration file for n3fit -# -description: NNPDF4.0 LO global, alphas=0.118 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -# - -LODatasets: &LODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -#- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75} -- {dataset: DYE886P, frac: 0.75, cfac: []} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: []} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: []} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: []} -- {dataset: D0WMASY, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: []} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: []} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: []} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: []} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM]} -#- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: []} -#- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75, cfac: []} -#- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: []} # zero contribution at LO -#- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: []} # zero contribution at LO -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: []} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: []} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: []} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: []} -- {dataset: CMSDY2D11, frac: 0.75, cfac: []} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: []} -#- {dataset: CMSZDIFF12, frac: 0.75, cfac: [NRM]} # zero contribution at LO -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: []} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: []} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: CMSWCHARMTOT, frac: 0.75} -- {dataset: CMSWCHARMRAT, frac: 0.75} -- {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV, frac: 0.75} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: []} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: []} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: []} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: []} - - -dataset_inputs: *LODatasets - -# These are needed for the similarity cuts -NNLODatasets: &NNLODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -#- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC,QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -# - {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -# - {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -# - {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} # zreo contribution at LO -# - {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} # zero contribution at LO -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSWCHARMTOT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMSWCHARMRAT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV, frac: 0.75} # No Cfactors at NNLO -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -do_not_require_similarity_for: -- ATLAS_WCHARM_WP_DIFF_7TEV -- ATLAS_WCHARM_WM_DIFF_7TEV -- CMSWCHARMTOT -- CMSWCHARMRAT -- CMS_WCHARM_DIFF_UNNORM_13TEV - - -cut_similarity_threshold: 2 - -cuts_intersection_spec: -- theoryid: 208 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *LODatasets - -- theoryid: 200 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *NNLODatasets - - - -############################################################ -datacuts: - t0pdfset: 210506-01-rs-nnpdf40-lo-flav # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - use_cuts: fromsimilarpredictions - -############################################################ -theory: - theoryid: 213 # database id - -############################################################ -sum_rules: MSR -trvlseed: 285649527 -nnseed: 1880517920 -mcseed: 2056988674 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, square] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - -fitting: - fitbasis: FLAVOUR # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: u, trainable: false, smallx: [ 1,1 ], largex: [1.685, 5.147]} - - {fl: ubar, trainable: false, smallx: [1,1 ], largex: [2.787, 6.319]} - - {fl: d, trainable: false, smallx: [ 1,1 ], largex: [3.31, 5.887]} - - {fl: dbar, trainable: false, smallx: [1,1 ], largex: [3.81, 7.111]} - - {fl: s, trainable: false, smallx: [ 1,1 ], largex: [4.78, 9.937]} - - {fl: sbar, trainable: false, smallx: [1,1 ], largex: [4.814, 10.19]} - - {fl: c, trainable: false, smallx: [ 1,1 ], largex: [2.973, 7.285]} - - {fl: g, trainable: false, smallx: [ 1,1 ], largex: [4.193, 13.35]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3_543, maxlambda: 1e2} - - {dataset: INTEGXV_543, maxlambda: 1e2} - - {dataset: INTEGXV3_543, maxlambda: 1e2} - - {dataset: INTEGXV8_543, maxlambda: 1e2} - -############################################################ -debug: false diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_lo_pch_as_01180.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_lo_pch_as_01180.yml deleted file mode 100644 index 067c9c9041..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_lo_pch_as_01180.yml +++ /dev/null @@ -1,277 +0,0 @@ -# -# Configuration file for n3fit -# -description: NNPDF4.0 LO global, pert. charm, alphas=0.118 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -# - -LODatasets: &LODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -#- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75} -- {dataset: DYE886P, frac: 0.75, cfac: []} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: []} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: []} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: []} -- {dataset: D0WMASY, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: []} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: []} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: []} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: []} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM]} -#- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: []} -#- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75, cfac: []} -#- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: []} # zero contribution at LO -#- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: []} # zero contribution at LO -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: []} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: []} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: []} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: []} -- {dataset: CMSDY2D11, frac: 0.75, cfac: []} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: []} -#- {dataset: CMSZDIFF12, frac: 0.75, cfac: [NRM]} # zero contribution at LO -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: []} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: []} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: CMSWCHARMTOT, frac: 0.75} -- {dataset: CMSWCHARMRAT, frac: 0.75} -- {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV, frac: 0.75} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: []} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: []} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: []} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: []} - - -dataset_inputs: *LODatasets - -# These are needed for the similarity cuts -NNLODatasets: &NNLODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -#- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC,QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -# - {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -# - {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -# - {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -# - {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} # zreo contribution at LO -# - {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} # zero contribution at LO -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSWCHARMTOT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMSWCHARMRAT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV, frac: 0.75} # No Cfactors at NNLO -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -do_not_require_similarity_for: -- ATLAS_WCHARM_WP_DIFF_7TEV -- ATLAS_WCHARM_WM_DIFF_7TEV -- CMSWCHARMTOT -- CMSWCHARMRAT -- CMS_WCHARM_DIFF_UNNORM_13TEV - - -cut_similarity_threshold: 2 - -cuts_intersection_spec: -- theoryid: 208 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *LODatasets - -- theoryid: 200 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *NNLODatasets - - - -############################################################ -datacuts: - t0pdfset: 210503-01-rs-nnpdf40-lo-pch # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - use_cuts: fromsimilarpredictions - -############################################################ -theory: - theoryid: 214 # database id - -############################################################ -trvlseed: 3655611959 -nnseed: 1217444430 -mcseed: 2363413108 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 7] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - -fitting: - fitbasis: NN31PC # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.077, 1.215], largex: [1.322, 3.557]} - - {fl: g, trainable: false, smallx: [1.095, 1.203], largex: [2.213, 7.096]} - - {fl: v, trainable: false, smallx: [0.5261, 0.902], largex: [1.383, 3.653]} - - {fl: v3, trainable: false, smallx: [0.2056, 0.7751], largex: [1.436, 3.726]} - - {fl: v8, trainable: false, smallx: [0.6371, 0.8716], largex: [1.383, 3.581]} - - {fl: t3, trainable: false, smallx: [-0.8066, 1.571], largex: [1.437, 3.446]} - - {fl: t8, trainable: false, smallx: [0.5485, 1.243], largex: [1.382, 3.654]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false - diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_as_01170.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_as_01170.yml deleted file mode 100644 index c83e2d864e..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_as_01170.yml +++ /dev/null @@ -1,287 +0,0 @@ -# -# Configuration file for n3fit -# -description: NNPDF4.0 NLO global, alphas=0.117 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -# - -NLODatasets: &NLODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75} -- {dataset: DYE886P, frac: 0.75, cfac: []} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: []} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: []} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: []} -- {dataset: D0WMASY, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: []} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: []} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: []} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: []} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: []} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: []} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: []} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: []} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: []} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: []} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: []} -- {dataset: CMSDY2D11, frac: 0.75, cfac: []} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: []} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [NRM]} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: []} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: []} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: CMSWCHARMTOT, frac: 0.75} -- {dataset: CMSWCHARMRAT, frac: 0.75} -- {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV, frac: 0.75} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: []} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: []} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: []} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: []} - -dataset_inputs: *NLODatasets - -# These are needed for the similarity cuts -NNLODatasets: &NNLODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -# - {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -# - {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSWCHARMTOT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMSWCHARMRAT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV} # No Cfactors at NNLO -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -do_not_require_similarity_for: -- ATLAS_WCHARM_WP_DIFF_7TEV -- ATLAS_WCHARM_WM_DIFF_7TEV -- CMSWCHARMTOT -- CMSWCHARMRAT -- CMS_WCHARM_DIFF_UNNORM_13TEV - - -cut_similarity_threshold: 2 - -cuts_intersection_spec: - # Note: This is using the alpha_s=0.118 theory on purpose, to keep cuts - # constant across alpha_s variations -- theoryid: 208 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *NLODatasets - -- theoryid: 200 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *NNLODatasets - - - -############################################################ -datacuts: - t0pdfset: 210712-n3fit-alphas-008 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - use_cuts: fromsimilarpredictions - -############################################################ -theory: - theoryid: 209 # database id - -############################################################ -trvlseed: 993533864 -nnseed: 274183988 -mcseed: 2050492433 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) - # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) - # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.122, 1.153], largex: [1.52, 3.153]} - - {fl: g, trainable: false, smallx: [0.9048, 1.155], largex: [3.156, 6.218]} - - {fl: v, trainable: false, smallx: [0.5525, 0.785], largex: [1.61, 3.538]} - - {fl: v3, trainable: false, smallx: [0.1697, 0.4412], largex: [1.747, 3.35]} - - {fl: v8, trainable: false, smallx: [0.5793, 0.8147], largex: [1.62, 3.547]} - - {fl: t3, trainable: false, smallx: [-0.3123, 0.9852], largex: [1.74, 3.441]} - - {fl: t8, trainable: false, smallx: [0.7063, 0.9456], largex: [1.575, 3.382]} - - {fl: t15, trainable: false, smallx: [1.089, 1.167], largex: [1.501, 3.581]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_as_01180.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_as_01180.yml deleted file mode 100644 index f8e79d1c36..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_as_01180.yml +++ /dev/null @@ -1,284 +0,0 @@ -# -# Configuration file for n3fit -# -description: NNPDF4.0 NLO global, alphas=0.118 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -# - -NLODatasets: &NLODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75} -- {dataset: DYE886P, frac: 0.75, cfac: []} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: []} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: []} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: []} -- {dataset: D0WMASY, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: []} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: []} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: []} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: []} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: []} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: []} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: []} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: []} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: []} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: []} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: []} -- {dataset: CMSDY2D11, frac: 0.75, cfac: []} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: []} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [NRM]} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: []} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: []} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: CMSWCHARMTOT, frac: 0.75} -- {dataset: CMSWCHARMRAT, frac: 0.75} -- {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV, frac: 0.75} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: []} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: []} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: []} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: []} - - -dataset_inputs: *NLODatasets - -# These are needed for the similarity cuts -NNLODatasets: &NNLODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -# - {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -# - {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSWCHARMTOT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMSWCHARMRAT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV, frac: 0.75} # No Cfactors at NNLO -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - - -do_not_require_similarity_for: -- ATLAS_WCHARM_WP_DIFF_7TEV -- ATLAS_WCHARM_WM_DIFF_7TEV -- CMSWCHARMTOT -- CMSWCHARMRAT -- CMS_WCHARM_DIFF_UNNORM_13TEV - - -cut_similarity_threshold: 2 - -cuts_intersection_spec: -- theoryid: 208 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *NLODatasets - -- theoryid: 200 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *NNLODatasets - - - -############################################################ -datacuts: - t0pdfset: 210712-theory-001 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - use_cuts: fromsimilarpredictions - -############################################################ -theory: - theoryid: 208 # database id - -############################################################ -trvlseed: 376191634 -nnseed: 2080989803 -mcseed: 75955222 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.121, 1.154], largex: [1.498, 3.138]} - - {fl: g, trainable: false, smallx: [0.9224, 1.149], largex: [3.266, 6.214]} - - {fl: v, trainable: false, smallx: [0.5279, 0.8017], largex: [1.6, 3.588]} - - {fl: v3, trainable: false, smallx: [0.2011, 0.4374], largex: [1.761, 3.427]} - - {fl: v8, trainable: false, smallx: [0.5775, 0.8357], largex: [1.589, 3.378]} - - {fl: t3, trainable: false, smallx: [-0.484, 1.0], largex: [1.763, 3.397]} - - {fl: t8, trainable: false, smallx: [0.6714, 0.9197], largex: [1.572, 3.496]} - - {fl: t15, trainable: false, smallx: [1.073, 1.164], largex: [1.503, 3.636]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_as_01190.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_as_01190.yml deleted file mode 100644 index a05a8934bf..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_as_01190.yml +++ /dev/null @@ -1,288 +0,0 @@ -# -# Configuration file for n3fit -# -description: NNPDF4.0 NLO global, alphas=0.119 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -# - -NLODatasets: &NLODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75} -- {dataset: DYE886P, frac: 0.75, cfac: []} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: []} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: []} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: []} -- {dataset: D0WMASY, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: []} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: []} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: []} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: []} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: []} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: []} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: []} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: []} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: []} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: []} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: []} -- {dataset: CMSDY2D11, frac: 0.75, cfac: []} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: []} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [NRM]} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: []} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: []} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: CMSWCHARMTOT, frac: 0.75} -- {dataset: CMSWCHARMRAT, frac: 0.75} -- {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV, frac: 0.75} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: []} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: []} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: []} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: []} - - -dataset_inputs: *NLODatasets - -# These are needed for the similarity cuts -NNLODatasets: &NNLODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -# - {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -# - {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSWCHARMTOT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMSWCHARMRAT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV} # No Cfactors at NNLO -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -do_not_require_similarity_for: -- ATLAS_WCHARM_WP_DIFF_7TEV -- ATLAS_WCHARM_WM_DIFF_7TEV -- CMSWCHARMTOT -- CMSWCHARMRAT -- CMS_WCHARM_DIFF_UNNORM_13TEV - - -cut_similarity_threshold: 2 - -cuts_intersection_spec: - # Note: This is using the alpha_s=0.118 theory on purpose, to keep cuts - # constant across alpha_s variations -- theoryid: 208 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *NLODatasets - -- theoryid: 200 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *NNLODatasets - - - -############################################################ -datacuts: - t0pdfset: 210712-n3fit-alphas-009 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - use_cuts: fromsimilarpredictions - -############################################################ -theory: - theoryid: 210 # database id - -############################################################ -trvlseed: 1073197848 -nnseed: 85437591 -mcseed: 1883222989 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) - # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) - # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.121, 1.152], largex: [1.476, 3.053]} - - {fl: g, trainable: false, smallx: [0.9349, 1.145], largex: [2.918, 6.178]} - - {fl: v, trainable: false, smallx: [0.5294, 0.7794], largex: [1.554, 3.425]} - - {fl: v3, trainable: false, smallx: [0.1769, 0.4516], largex: [1.717, 3.498]} - - {fl: v8, trainable: false, smallx: [0.5717, 0.7683], largex: [1.56, 3.513]} - - {fl: t3, trainable: false, smallx: [-0.5131, 1.0], largex: [1.744, 3.372]} - - {fl: t8, trainable: false, smallx: [0.6938, 0.9122], largex: [1.535, 3.237]} - - {fl: t15, trainable: false, smallx: [1.072, 1.163], largex: [1.469, 3.509]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_pch_as_01180.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_pch_as_01180.yml deleted file mode 100644 index 2d9f707fa4..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nlo_pch_as_01180.yml +++ /dev/null @@ -1,285 +0,0 @@ -# -# Configuration file for n3fit -# -description: NNPDF4.0 NLO global, deuteron and nuclear uncertainties. Runcard for - the perturbative charm NLO fit, pending iteration. alphas=0.118 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -# - -NLODatasets: &NLODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: []} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: []} -- {dataset: DYE886P, frac: 0.75, cfac: []} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: []} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: []} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: []} -- {dataset: D0WMASY, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: []} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: []} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: []} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: []} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: []} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: []} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: []} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: []} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: []} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: []} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: []} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: []} -- {dataset: CMSDY2D11, frac: 0.75, cfac: []} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: []} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [NRM]} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: []} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: []} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: []} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: []} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: []} -- {dataset: CMSWCHARMTOT, frac: 0.75} -- {dataset: CMSWCHARMRAT, frac: 0.75} -- {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV, frac: 0.75} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: []} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: []} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: []} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: []} - -dataset_inputs: *NLODatasets - -# These are needed for the similarity cuts -NNLODatasets: &NNLODatasets -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -# - {dataset: ATLAS_WCHARM_WP_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -# - {dataset: ATLAS_WCHARM_WM_DIFF_7TEV, frac: 0.75} # No Cfactors at NNLO -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -# - {dataset: CMSWCHARMTOT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMSWCHARMRAT, frac: 0.75} # No Cfactors at NNLO -# - {dataset: CMS_WCHARM_DIFF_UNNORM_13TEV, frac: 0.75} # No Cfactors at NNLO -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -do_not_require_similarity_for: -- ATLAS_WCHARM_WP_DIFF_7TEV -- ATLAS_WCHARM_WM_DIFF_7TEV -- CMSWCHARMTOT -- CMSWCHARMRAT -- CMS_WCHARM_DIFF_UNNORM_13TEV - - -cut_similarity_threshold: 2 - -cuts_intersection_spec: -- theoryid: 208 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *NLODatasets - -- theoryid: 200 - pdf: NNPDF31_nlo_as_0118 - dataset_inputs: *NNLODatasets - - - -############################################################ -datacuts: - t0pdfset: 210718-theory-004 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - use_cuts: fromsimilarpredictions - -############################################################ -theory: - theoryid: 212 # database id - -############################################################ -trvlseed: 1805851623 -nnseed: 1361991509 -mcseed: 978288251 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 7] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) - # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) - # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) - - fitbasis: NN31PC # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.031, 1.148], largex: [1.111, 3.107]} - - {fl: g, trainable: false, smallx: [0.2278, 1.344], largex: [1.909, 5.135]} - - {fl: v, trainable: false, smallx: [0.3592, 0.9058], largex: [1.171, 3.318]} - - {fl: v3, trainable: false, smallx: [0.03889, 0.5044], largex: [1.305, 3.208]} - - {fl: v8, trainable: false, smallx: [0.4711, 0.9058], largex: [1.17, 3.265]} - - {fl: t3, trainable: false, smallx: [-0.5802, 1.0], largex: [1.346, 3.14]} - - {fl: t8, trainable: false, smallx: [0.6047, 0.8913], largex: [1.167, 3.365]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01160.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01160.yml deleted file mode 100644 index 9e21d6460c..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01160.yml +++ /dev/null @@ -1,167 +0,0 @@ -# -# Configuration file for n3fit -# -############################################################ -description: NNPDF4.0 NNLO global, alphas=0.116 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -dataset_inputs: -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -############################################################ -datacuts: - t0pdfset: 210712-n3fit-alphas-001 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - -############################################################ -theory: - theoryid: 201 # database id - -############################################################ -trvlseed: 1641294171 -nnseed: 315448530 -mcseed: 627686661 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.095, 1.125], largex: [1.52, 3.15]} - - {fl: g, trainable: false, smallx: [0.8541, 1.106], largex: [3.402, 6.262]} - - {fl: v, trainable: false, smallx: [0.5286, 0.7474], largex: [1.615, 3.522]} - - {fl: v3, trainable: false, smallx: [0.1709, 0.4843], largex: [1.76, 3.752]} - - {fl: v8, trainable: false, smallx: [0.5913, 0.8179], largex: [1.611, 3.54]} - - {fl: t3, trainable: false, smallx: [-0.6495, 0.9138], largex: [1.795, 3.209]} - - {fl: t8, trainable: false, smallx: [0.6697, 0.8782], largex: [1.593, 3.399]} - - {fl: t15, trainable: false, smallx: [1.09, 1.143], largex: [1.524, 3.281]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01170.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01170.yml deleted file mode 100644 index b047bdcae8..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01170.yml +++ /dev/null @@ -1,167 +0,0 @@ -# -# Configuration file for n3fit -# -############################################################ -description: NNPDF4.0 NNLO global, alphas=0.117 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -dataset_inputs: -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -############################################################ -datacuts: - t0pdfset: 210712-n3fit-alphas-002 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - -############################################################ -theory: - theoryid: 202 # database id - -############################################################ -trvlseed: 2036816287 -nnseed: 119748315 -mcseed: 576222828 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.091, 1.122], largex: [1.489, 3.15]} - - {fl: g, trainable: false, smallx: [0.8227, 1.073], largex: [2.995, 6.337]} - - {fl: v, trainable: false, smallx: [0.5103, 0.7651], largex: [1.596, 3.547]} - - {fl: v3, trainable: false, smallx: [0.1709, 0.489], largex: [1.762, 3.49]} - - {fl: v8, trainable: false, smallx: [0.595, 0.795], largex: [1.571, 3.487]} - - {fl: t3, trainable: false, smallx: [-0.6395, 1.0], largex: [1.77, 3.459]} - - {fl: t8, trainable: false, smallx: [0.6591, 0.8823], largex: [1.577, 3.423]} - - {fl: t15, trainable: false, smallx: [1.08, 1.143], largex: [1.509, 3.132]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01175.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01175.yml deleted file mode 100644 index 354c73cfb7..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01175.yml +++ /dev/null @@ -1,167 +0,0 @@ -# -# Configuration file for n3fit -# -############################################################ -description: NNPDF4.0 NNLO global, alphas=0.1175 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -dataset_inputs: -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -############################################################ -datacuts: - t0pdfset: 210716-n3fit-alphas-003 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - -############################################################ -theory: - theoryid: 203 # database id - -############################################################ -trvlseed: 1444683225 -nnseed: 638044093 -mcseed: 677668655 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.09, 1.121], largex: [1.481, 3.345]} - - {fl: g, trainable: false, smallx: [0.8105, 1.076], largex: [2.97, 6.003]} - - {fl: v, trainable: false, smallx: [0.4887, 0.7563], largex: [1.585, 3.635]} - - {fl: v3, trainable: false, smallx: [0.1185, 0.5034], largex: [1.752, 3.597]} - - {fl: v8, trainable: false, smallx: [0.5872, 0.8068], largex: [1.571, 3.648]} - - {fl: t3, trainable: false, smallx: [-0.5205, 1.0], largex: [1.76, 3.623]} - - {fl: t8, trainable: false, smallx: [0.5717, 0.9016], largex: [1.575, 3.441]} - - {fl: t15, trainable: false, smallx: [1.089, 1.141], largex: [1.489, 3.165]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01180_1000.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01180_1000.yml deleted file mode 100644 index da30fc1b2e..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01180_1000.yml +++ /dev/null @@ -1,166 +0,0 @@ -# -# Configuration file for n3fit -# -############################################################ -description: NNPDF4.0 NNLO global baseline fit, 1000 replicas, alphas=0.118 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -dataset_inputs: -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - -############################################################ -datacuts: - t0pdfset: 210713-n3fit-001 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - -############################################################ -theory: - theoryid: 200 # database id - -############################################################ -trvlseed: 14613416 -nnseed: 1865683875 -mcseed: 746898422 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.094, 1.118], largex: [1.46, 3.003]} - - {fl: g, trainable: false, smallx: [0.8189, 1.044], largex: [2.791, 5.697]} - - {fl: v, trainable: false, smallx: [0.457, 0.7326], largex: [1.56, 3.431]} - - {fl: v3, trainable: false, smallx: [0.1462, 0.4061], largex: [1.745, 3.452]} - - {fl: v8, trainable: false, smallx: [0.5401, 0.7665], largex: [1.539, 3.393]} - - {fl: t3, trainable: false, smallx: [-0.4401, 0.9163], largex: [1.773, 3.333]} - - {fl: t8, trainable: false, smallx: [0.5852, 0.8537], largex: [1.533, 3.436]} - - {fl: t15, trainable: false, smallx: [1.082, 1.142], largex: [1.461, 3.1]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01180_hessian.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01180_hessian.yml deleted file mode 100644 index 545ee7f915..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01180_hessian.yml +++ /dev/null @@ -1,9 +0,0 @@ -pdf: NNPDF40_nnlo_as_01180_1000 - -Neig: 50 # Number of basis eigenvectors of the Hessian PDF set -Q: 100 # Energy scale at which the MC PDF set is sampled -mc2hname: NNPDF40_nnlo_as_01180_hessian # Name of the Hessian PDF set -installgrid: True - -actions_: - - mc2hessian diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01185.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01185.yml deleted file mode 100644 index 715e8faac4..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01185.yml +++ /dev/null @@ -1,167 +0,0 @@ -# -# Configuration file for n3fit -# -############################################################ -description: NNPDF4.0 NNLO global, alphas=0.1185 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -dataset_inputs: -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -############################################################ -datacuts: - t0pdfset: 210716-n3fit-alphas-004 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - -############################################################ -theory: - theoryid: 204 # database id - -############################################################ -trvlseed: 2064232754 -nnseed: 379537151 -mcseed: 378200002 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.095, 1.117], largex: [1.455, 3.049]} - - {fl: g, trainable: false, smallx: [0.8231, 1.016], largex: [2.803, 5.827]} - - {fl: v, trainable: false, smallx: [0.5093, 0.7196], largex: [1.535, 3.499]} - - {fl: v3, trainable: false, smallx: [0.1, 0.4791], largex: [1.722, 3.312]} - - {fl: v8, trainable: false, smallx: [0.5674, 0.7709], largex: [1.483, 3.295]} - - {fl: t3, trainable: false, smallx: [-0.4955, 1.0], largex: [1.736, 3.163]} - - {fl: t8, trainable: false, smallx: [0.5861, 0.8803], largex: [1.512, 3.355]} - - {fl: t15, trainable: false, smallx: [1.075, 1.144], largex: [1.45, 3.152]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01190.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01190.yml deleted file mode 100644 index 8959695b37..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01190.yml +++ /dev/null @@ -1,167 +0,0 @@ -# -# Configuration file for n3fit -# -############################################################ -description: NNPDF4.0 NNLO global, alphas=0.119 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -dataset_inputs: -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -############################################################ -datacuts: - t0pdfset: 210712-n3fit-alphas-005 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - -############################################################ -theory: - theoryid: 205 # database id - -############################################################ -trvlseed: 12677908 -nnseed: 839076829 -mcseed: 738070253 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.093, 1.115], largex: [1.436, 3.128]} - - {fl: g, trainable: false, smallx: [0.7348, 1.026], largex: [2.647, 5.97]} - - {fl: v, trainable: false, smallx: [0.4576, 0.7328], largex: [1.534, 3.366]} - - {fl: v3, trainable: false, smallx: [0.09272, 0.482], largex: [1.694, 3.347]} - - {fl: v8, trainable: false, smallx: [0.5758, 0.7587], largex: [1.506, 3.479]} - - {fl: t3, trainable: false, smallx: [-0.4875, 1.0], largex: [1.742, 3.506]} - - {fl: t8, trainable: false, smallx: [0.5768, 0.8849], largex: [1.573, 3.456]} - - {fl: t15, trainable: false, smallx: [1.078, 1.135], largex: [1.436, 3.158]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01200.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01200.yml deleted file mode 100644 index bc4cdb87ea..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_as_01200.yml +++ /dev/null @@ -1,167 +0,0 @@ -# -# Configuration file for n3fit -# -############################################################ -description: NNPDF4.0 NNLO global, alphas=0.120 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -dataset_inputs: -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - - -############################################################ -datacuts: - t0pdfset: 210712-n3fit-alphas-007 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - -############################################################ -theory: - theoryid: 207 # database id - -############################################################ -trvlseed: 286700510 -nnseed: 1727855178 -mcseed: 1540944536 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 8] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - fitbasis: EVOL # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.093, 1.113], largex: [1.406, 3.034]} - - {fl: g, trainable: false, smallx: [0.7081, 1.019], largex: [2.616, 5.492]} - - {fl: v, trainable: false, smallx: [0.4569, 0.7252], largex: [1.495, 3.481]} - - {fl: v3, trainable: false, smallx: [0.0625, 0.4665], largex: [1.722, 3.446]} - - {fl: v8, trainable: false, smallx: [0.5395, 0.7532], largex: [1.477, 3.43]} - - {fl: t3, trainable: false, smallx: [-0.5144, 1.0], largex: [1.735, 3.45]} - - {fl: t8, trainable: false, smallx: [0.4915, 0.8505], largex: [1.509, 3.312]} - - {fl: t15, trainable: false, smallx: [1.072, 1.134], largex: [1.418, 3.233]} - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSF2C, maxlambda: 1e6} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} - -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_hessian_pdfas.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_hessian_pdfas.yml deleted file mode 100644 index 3ca1e93534..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_hessian_pdfas.yml +++ /dev/null @@ -1,10 +0,0 @@ -pdf: NNPDF40_nnlo_as_01180_hessian - -pdfs: - - NNPDF40_nnlo_as_01170 - - NNPDF40_nnlo_as_01190 - -target_name: NNPDF40_nnlo_hessian_pdfas - -actions_: - - alpha_s_bundle_pdf diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_pch_as_01180.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_pch_as_01180.yml deleted file mode 100644 index 1ba9027de7..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_pch_as_01180.yml +++ /dev/null @@ -1,192 +0,0 @@ -# -# Configuration file for n3fit -# -############################################################ -description: NNPDF4.0 NNLO global pert. charm fit, alphas=0.118 - -############################################################ -# frac: training fraction -# ewk: apply ewk k-factors -# sys: systematics treatment (see systypes) -dataset_inputs: -- {dataset: NMCPD_dw_ite, frac: 0.75} -- {dataset: NMC, frac: 0.75} -- {dataset: SLACP_dwsh, frac: 0.75} -- {dataset: SLACD_dw_ite, frac: 0.75} -- {dataset: BCDMSP_dwsh, frac: 0.75} -- {dataset: BCDMSD_dw_ite, frac: 0.75} -- {dataset: CHORUSNUPb_dw_ite, frac: 0.75} -- {dataset: CHORUSNBPb_dw_ite, frac: 0.75} -- {dataset: NTVNUDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: NTVNBDMNFe_dw_ite, frac: 0.75, cfac: [MAS]} -- {dataset: HERACOMBNCEM, frac: 0.75} -- {dataset: HERACOMBNCEP460, frac: 0.75} -- {dataset: HERACOMBNCEP575, frac: 0.75} -- {dataset: HERACOMBNCEP820, frac: 0.75} -- {dataset: HERACOMBNCEP920, frac: 0.75} -- {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_C, frac: 0.75} -- {dataset: HERACOMB_SIGMARED_B, frac: 0.75} -- {dataset: DYE886R_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE886P, frac: 0.75, cfac: [QCD]} -- {dataset: DYE605_dw_ite, frac: 0.75, cfac: [QCD]} -- {dataset: DYE906R_dw_ite, frac: 0.75, cfac: [ACC, QCD]} -- {dataset: CDFZRAP_NEW, frac: 0.75, cfac: [QCD]} -- {dataset: D0ZRAP_40, frac: 0.75, cfac: [QCD]} -- {dataset: D0WMASY, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP36PB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZHIGHMASS49FB, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASLOMASSDY11EXT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASWZRAP11CF, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASDY2D8TEV, frac: 0.75, cfac: [QCDEWK]} -- {dataset: ATLAS_DY_2D_8TEV_LOWMASS, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WZ_TOT_13TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: ATLAS_WP_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_WM_JET_8TEV_PT, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASZPT8TEVMDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASZPT8TEVYDIST, frac: 0.75, cfac: [QCD], sys: 10} -- {dataset: ATLASTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTBARTOT_13TEV_FULLLUMI, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TTB_DIFF_8TEV_LJ_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_TOPDIFF_DILEPT_8TEV_TTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_1JET_8TEV_R06_DEC, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_2JET_7TEV_R06, frac: 0.75, cfac: [QCD]} -- {dataset: ATLASPHT15_SF, frac: 0.75, cfac: [QCD, EWK]} -- {dataset: ATLAS_SINGLETOP_TCH_R_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_7TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_T_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: ATLAS_SINGLETOP_TCH_DIFF_8TEV_TBAR_RAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWEASY840PB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMASY47FB, frac: 0.75, cfac: [QCD]} -- {dataset: CMSDY2D11, frac: 0.75, cfac: [QCD]} -- {dataset: CMSWMU8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSZDIFF12, frac: 0.75, cfac: [QCD, NRM], sys: 10} -- {dataset: CMS_2JET_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_1JET_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTOPDIFF8TEVTTRAPNORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMSTTBARTOT5TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTBAR_2D_DIFF_MTT_TRAP_NORM, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_2L_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_TTB_DIFF_13TEV_2016_LJ_TRAP, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_TOT_7TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_8TEV, frac: 0.75, cfac: [QCD]} -- {dataset: CMS_SINGLETOP_TCH_R_13TEV, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZ940PB, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBZEE2FB_40, frac: 0.75, cfac: [QCD]} -- {dataset: LHCBWZMU7TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCBWZMU8TEV, frac: 0.75, cfac: [NRM, QCD]} -- {dataset: LHCB_Z_13TEV_DIMUON, frac: 0.75, cfac: [QCD]} -- {dataset: LHCB_Z_13TEV_DIELECTRON, frac: 0.75, cfac: [QCD]} - -############################################################ -datacuts: - t0pdfset: 210718-theory-003 # PDF set to generate t0 covmat - q2min: 3.49 # Q2 minimum - w2min: 12.5 # W2 minimum - -############################################################ -theory: - theoryid: 211 # database id - -############################################################ -trvlseed: 105018807 -nnseed: 2061386872 -mcseed: 246390391 -save: false -genrep: true # true = generate MC replicas, false = use real data - -parameters: # This defines the parameter dictionary that is passed to the Model Trainer - nodes_per_layer: [25, 20, 7] - activation_per_layer: [tanh, tanh, linear] - initializer: glorot_normal - optimizer: - clipnorm: 6.073e-6 - learning_rate: 2.621e-3 - optimizer_name: Nadam - epochs: 17000 - positivity: - initial: 184.8 - multiplier: - integrability: - initial: 10 - multiplier: - stopping_patience: 0.1 - layer_type: dense - dropout: 0.0 - threshold_chi2: 3.5 - -fitting: - # N23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) - # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) - # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) - # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) - fitbasis: NN31PC # EVOL (7), EVOLQED (8), etc. - basis: - - {fl: sng, trainable: false, smallx: [1.037, 1.068], largex: [1.045, 2.705]} - - {fl: g, trainable: false, smallx: [0.6846, 1.096], largex: [1.746, 5.013]} - - {fl: v, trainable: false, smallx: [0.3899, 0.7464], largex: [1.101, 3.113]} - - {fl: v3, trainable: false, smallx: [0.1241, 0.4195], largex: [1.305, 3.114]} - - {fl: v8, trainable: false, smallx: [0.5521, 0.7542], largex: [1.079, 2.91]} - - {fl: t3, trainable: false, smallx: [-0.7115, 1.0], largex: [1.337, 3.062]} - - {fl: t8, trainable: false, smallx: [0.4374, 0.8579], largex: [1.097, 3.013]} - -############################################################ -stopping: - stopmethod: LOOKBACK # Stopping method - lbdelta: 0 # Delta for look-back stopping - mingen: 0 # Minimum number of generations - window: 500 # Window for moving average - minchi2: 3.5 # Minimum chi2 - minchi2exp: 6.0 # Minimum chi2 for experiments - nsmear: 200 # Smear for stopping - deltasm: 200 # Delta smear for stopping - rv: 2 # Ratio for validation stopping - rt: 0.5 # Ratio for training stopping - epsilon: 1e-6 # Gradient epsilon - -############################################################ -positivity: - posdatasets: - - {dataset: POSF2U, maxlambda: 1e6} # Positivity Lagrange Multiplier - - {dataset: POSF2DW, maxlambda: 1e6} - - {dataset: POSF2S, maxlambda: 1e6} - - {dataset: POSFLL, maxlambda: 1e6} - - {dataset: POSDYU, maxlambda: 1e10} - - {dataset: POSDYD, maxlambda: 1e10} - - {dataset: POSDYS, maxlambda: 1e10} - - {dataset: POSXUQ, maxlambda: 1e6} # Positivity of MSbar PDFs - - {dataset: POSXUB, maxlambda: 1e6} - - {dataset: POSXDQ, maxlambda: 1e6} - - {dataset: POSXDB, maxlambda: 1e6} - - {dataset: POSXSQ, maxlambda: 1e6} - - {dataset: POSXSB, maxlambda: 1e6} - - {dataset: POSXGL, maxlambda: 1e6} -############################################################ -integrability: - integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} - -closuretest: - filterseed: 2143595757 # Random seed to be used in filtering data partitions - fakedata: false # true = to use FAKEPDF to generate pseudo-data - fakepdf: MSTW2008nlo68cl # Theory input for pseudo-data - errorsize: 1.0 # uncertainties rescaling - fakenoise: false # true = to add random fluctuations to pseudo-data - rancutprob: 1.0 # Fraction of data to be included in the fit - rancutmethod: 0 # Method to select rancutprob data fraction - rancuttrnval: false # 0(1) to output training(valiation) chi2 in report - printpdf4gen: false # To print info on PDFs during minimization - -############################################################ -debug: false -maxcores: 4 diff --git a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_pdfas.yml b/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_pdfas.yml deleted file mode 100644 index 1a2f26525a..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/NNPDF40_nnlo_pdfas.yml +++ /dev/null @@ -1,10 +0,0 @@ -pdf: NNPDF40_nnlo_as_01180 - -pdfs: - - NNPDF40_nnlo_as_01170 - - NNPDF40_nnlo_as_01190 - -target_name: NNPDF40_nnlo_pdfas - -actions_: - - alpha_s_bundle_pdf diff --git a/n3fit/runcards/reproduce_nnpdf40/nnpdf40_env.yml b/n3fit/runcards/reproduce_nnpdf40/nnpdf40_env.yml deleted file mode 100644 index 3344263423..0000000000 --- a/n3fit/runcards/reproduce_nnpdf40/nnpdf40_env.yml +++ /dev/null @@ -1,190 +0,0 @@ -name: nnpdf40 -channels: - - https://packages.nnpdf.science/private - - https://packages.nnpdf.science/public - - defaults - - conda-forge -dependencies: - - _libgcc_mutex=0.1=main - - _openmp_mutex=4.5=1_gnu - - _tflow_select=2.3.0=eigen - - absl-py=0.12.0=py37h06a4308_0 - - aiohttp=3.7.4=py37h27cfd23_1 - - alabaster=0.7.12=py37_0 - - apfel=3.0.5.0=py37hbdda60e_9 - - astunparse=1.6.3=py_0 - - async-timeout=3.0.1=py37h06a4308_0 - - attrs=20.3.0=pyhd3eb1b0_0 - - babel=2.9.0=pyhd3eb1b0_0 - - blas=1.0=mkl - - blessings=1.7=py37h06a4308_1002 - - blinker=1.4=py37h06a4308_0 - - brotlipy=0.7.0=py37h27cfd23_1003 - - bzip2=1.0.8=h7b6447c_0 - - c-ares=1.17.1=h27cfd23_0 - - ca-certificates=2021.5.30=ha878542_0 - - cachetools=4.2.1=pyhd3eb1b0_0 - - certifi=2021.5.30=py37h06a4308_0 - - cffi=1.14.5=py37h261ae71_0 - - chardet=3.0.4=py37h06a4308_1003 - - click=7.1.2=pyhd3eb1b0_0 - - cloudpickle=1.6.0=py_0 - - colorama=0.4.4=pyhd3eb1b0_0 - - commonmark=0.9.1=py_0 - - coverage=5.5=py37h27cfd23_2 - - cryptography=3.3.1=py37h3c74f83_1 - - curio=0.9+git.49=py37_0 - - cycler=0.10.0=py37_0 - - cython=0.29.22=py37h2531618_0 - - dataclasses=0.8=pyh6d0b6a4_7 - - dbus=1.13.18=hb2f20db_0 - - decorator=4.4.2=pyhd3eb1b0_0 - - docutils=0.16=py37_1 - - expat=2.2.10=he6710b0_2 - - fontconfig=2.13.1=h6c09931_0 - - freetype=2.10.4=h5ab3b9f_0 - - future=0.18.2=py37_1 - - gast=0.3.3=py_0 - - glib=2.67.4=h36276a3_1 - - google-auth=1.27.1=pyhd3eb1b0_0 - - google-auth-oauthlib=0.4.3=pyhd3eb1b0_0 - - google-pasta=0.2.0=py_0 - - grpcio=1.36.1=py37h2157cd5_1 - - gsl=2.4=h14c3975_4 - - gst-plugins-base=1.14.0=h8213a91_2 - - gstreamer=1.14.0=h28cd5cc_2 - - h5py=2.10.0=py37hd6299e0_1 - - hdf5=1.10.6=nompi_h6a2412b_1114 - - hyperopt=0.2.5=pyh9f0ad1d_0 - - icu=58.2=he6710b0_3 - - idna=2.10=pyhd3eb1b0_0 - - imagesize=1.2.0=pyhd3eb1b0_0 - - importlib-metadata=2.0.0=py_1 - - intel-openmp=2020.2=254 - - jinja2=2.11.3=pyhd3eb1b0_0 - - jpeg=9b=h024ee3a_2 - - keras-preprocessing=1.1.2=pyhd3eb1b0_0 - - kiwisolver=1.3.1=py37h2531618_0 - - krb5=1.19.1=h3535a68_0 - - latexcodec=2.0.1=pyh9f0ad1d_0 - - lcms2=2.11=h396b838_0 - - ld_impl_linux-64=2.33.1=h53a641e_7 - - lhapdf=6.3.0=py37h2bc3f7f_3 - - libarchive=3.4.2=h62408e4_0 - - libblas=3.9.0=1_h86c2bf4_netlib - - libcblas=3.9.0=5_h92ddd45_netlib - - libcurl=7.77.0=h2574ce0_0 - - libedit=3.1.20191231=h14c3975_1 - - libev=4.33=h7b6447c_0 - - libffi=3.3=he6710b0_2 - - libgcc-ng=9.3.0=h5101ec6_17 - - libgfortran-ng=9.3.0=ha5ec8a7_17 - - libgfortran5=9.3.0=ha5ec8a7_17 - - libgomp=9.3.0=h5101ec6_17 - - liblapack=3.9.0=5_h92ddd45_netlib - - libnghttp2=1.43.0=h812cca2_0 - - libpng=1.6.37=hbc83047_0 - - libprotobuf=3.14.0=h8c45485_0 - - libssh2=1.9.0=h1ba5d50_1 - - libstdcxx-ng=9.3.0=hd4cf53a_17 - - libtiff=4.1.0=h2733197_1 - - libuuid=1.0.3=h1bed415_2 - - libxcb=1.14=h7b6447c_0 - - libxml2=2.9.10=hb55368b_3 - - lz4-c=1.9.3=h2531618_0 - - markdown=3.3.4=py37h06a4308_0 - - markupsafe=1.1.1=py37h14c3975_1 - - matplotlib=3.3.4=py37h06a4308_0 - - matplotlib-base=3.3.4=py37h62a2d02_0 - - mkl=2020.2=256 - - mkl-service=2.3.0=py37he8ac12f_0 - - mkl_fft=1.3.0=py37h54f3939_0 - - mkl_random=1.1.1=py37h0573a6f_0 - - multidict=5.1.0=py37h27cfd23_2 - - ncurses=6.2=he6710b0_1 - - networkx=2.5=py_0 - - nnpdf=4.0.3.0+g1229126=py37h9a426be_0 - - numpy=1.19.2=py37h54aff64_0 - - numpy-base=1.19.2=py37hfa32c7d_0 - - oauthlib=3.1.0=py_0 - - olefile=0.46=py37_0 - - openssl=1.1.1k=h27cfd23_0 - - opt_einsum=3.1.0=py_0 - - packaging=20.9=pyhd3eb1b0_0 - - pandas=1.2.3=py37ha9443f7_0 - - pandoc=2.11=hb0f4dca_0 - - pcre=8.44=he6710b0_0 - - pillow=8.1.2=py37he98fc37_0 - - pip=21.0.1=py37h06a4308_0 - - pkg-config=0.29.2=h1bed415_8 - - prompt-toolkit=3.0.8=py_0 - - prompt_toolkit=3.0.8=0 - - protobuf=3.14.0=py37h2531618_1 - - psutil=5.8.0=py37h27cfd23_1 - - pyasn1=0.4.8=py_0 - - pyasn1-modules=0.2.8=py_0 - - pybtex=0.24.0=py37h89c1867_0 - - pybtex-docutils=1.0.0=py37h89c1867_0 - - pycparser=2.20=py_2 - - pygments=2.8.1=pyhd3eb1b0_0 - - pyjwt=1.7.1=py37_0 - - pymongo=3.11.3=py37h2531618_0 - - pyopenssl=20.0.1=pyhd3eb1b0_1 - - pyparsing=2.4.7=pyhd3eb1b0_0 - - pyqt=5.9.2=py37h05f1152_2 - - pysocks=1.7.1=py37_1 - - python=3.7.10=hdb3f193_0 - - python-dateutil=2.8.1=pyhd3eb1b0_0 - - python_abi=3.7=1_cp37m - - pytz=2021.1=pyhd3eb1b0_0 - - pyyaml=5.4.1=py37h27cfd23_1 - - qt=5.9.7=h5867ecd_1 - - readline=8.1=h27cfd23_0 - - recommonmark=0.6.0=py_0 - - reportengine=0.30.18=py_0 - - requests=2.25.1=pyhd3eb1b0_0 - - requests-oauthlib=1.3.0=py_0 - - rsa=4.7.2=pyhd3eb1b0_1 - - ruamel_yaml=0.15.87=py37h7b6447c_1 - - scipy=1.6.3=py37h29e03ee_0 - - seaborn=0.11.1=pyhd3eb1b0_0 - - setuptools=52.0.0=py37h06a4308_0 - - sip=4.19.8=py37hf484d3e_0 - - six=1.15.0=py37h06a4308_0 - - snowballstemmer=2.1.0=pyhd3eb1b0_0 - - sphinx=4.0.2=pyh6c4a22f_1 - - sphinx_rtd_theme=0.5.1=pyhd3deb0d_0 - - sphinxcontrib-applehelp=1.0.2=pyhd3eb1b0_0 - - sphinxcontrib-bibtex=2.3.0=pyhd8ed1ab_0 - - sphinxcontrib-devhelp=1.0.2=pyhd3eb1b0_0 - - sphinxcontrib-htmlhelp=1.0.3=pyhd3eb1b0_0 - - sphinxcontrib-jsmath=1.0.1=pyhd3eb1b0_0 - - sphinxcontrib-qthelp=1.0.3=pyhd3eb1b0_0 - - sphinxcontrib-serializinghtml=1.1.4=pyhd3eb1b0_0 - - sqlite=3.35.4=hdfb4753_0 - - tensorboard=2.4.0=pyhc547734_0 - - tensorboard-plugin-wit=1.6.0=py_0 - - tensorflow=2.3.0=eigen_py37h189e6a2_0 - - tensorflow-base=2.3.0=eigen_py37h3b305d7_0 - - tensorflow-estimator=2.3.0=pyheb71bc4_0 - - termcolor=1.1.0=py37h06a4308_1 - - tk=8.6.10=hbc83047_0 - - tornado=6.1=py37h27cfd23_0 - - tqdm=4.56.0=pyhd3eb1b0_0 - - typing-extensions=3.7.4.3=hd3eb1b0_0 - - typing_extensions=3.7.4.3=pyh06a4308_0 - - urllib3=1.26.3=pyhd3eb1b0_0 - - validobj=0.4.0=pyhd8ed1ab_0 - - wcwidth=0.2.5=py_0 - - werkzeug=1.0.1=pyhd3eb1b0_0 - - wheel=0.36.2=pyhd3eb1b0_0 - - wrapt=1.12.1=py37h7b6447c_1 - - xz=5.2.5=h7b6447c_0 - - yaml=0.2.5=h7b6447c_0 - - yaml-cpp=0.6.3=he1b5a44_4 - - yarl=1.6.3=py37h27cfd23_0 - - zipp=3.4.0=pyhd3eb1b0_0 - - zlib=1.2.11=h7b6447c_3 - - zstd=1.4.5=h9ceee32_0 - - pip: - - validphys==4.0 diff --git a/n3fit/src/n3fit/hyper_optimization/rewards.py b/n3fit/src/n3fit/hyper_optimization/rewards.py index 86c64eaab7..b51cf7f629 100644 --- a/n3fit/src/n3fit/hyper_optimization/rewards.py +++ b/n3fit/src/n3fit/hyper_optimization/rewards.py @@ -30,6 +30,7 @@ _best_worst 3.0 _std 0.816496580927726 """ + import logging from typing import Callable, Dict, List @@ -181,7 +182,7 @@ def compute_loss( >>> hyper = HyperLoss(loss_type="chi2", replica_statistic="average", fold_statistic="average") >>> penalties = {'saturation': np.array([1.0, 2.0]), 'patience': np.array([3.0, 4.0]), 'integrability': np.array([5.0, 6.0]),} >>> experimental_loss = np.array([0.1, 0.2]) - >>> ds = Loader().check_dataset("NMC", theoryid=399, cuts="internal") + >>> ds = Loader().check_dataset("NMC_NC_NOTFIXED_P_EM-SIGMARED", theoryid=399, cuts="internal") >>> experimental_data = [Loader().check_experiment("My DataGroupSpec", [ds])] >>> fake_fl = [{'fl' : i, 'largex' : [0,1], 'smallx': [1,2]} for i in ['u', 'ubar', 'd', 'dbar', 'c', 'g', 's', 'sbar']] >>> pdf_model = generate_pdf_model(nodes=[8], activations=['linear'], seed=0, num_replicas=2, flav_info=fake_fl, fitbasis="FLAVOUR") diff --git a/n3fit/src/n3fit/tests/regressions/filter.yml b/n3fit/src/n3fit/tests/regressions/filter.yml index 71d504fff8..8fafeccfb7 100644 --- a/n3fit/src/n3fit/tests/regressions/filter.yml +++ b/n3fit/src/n3fit/tests/regressions/filter.yml @@ -1,36 +1,27 @@ # -# Configuration file for n3fit regression tests -# This runcard includes two DIS datasets, one Hadronic dataset -# and two positivity datasets +# Configuration file used to test the n3fit.evolven3fit.utils.read_runcard function +# the corresponding test is n3fit.tests.test_evolven3fit.test_utils # ############################################################ -description: n3fit regression test +description: evolven3fit utils test ############################################################ # frac: training fraction # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- { dataset: NMC, frac: 0.5 } -- { dataset: SLACP, frac: 0.5} -- { dataset: CMSZDIFF12, frac: 0.5, cfac: ['QCD'], sys: 10 } -- { dataset: CMSTTBARTOT, frac: 1.0, cfac: ['QCD'] } +- {dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 0.5, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_P_EM-F2, frac: 0.5, variant: legacy} +- {dataset: CMS_Z0J_8TEV_PT-Y, frac: 0.5, variant: legacy_10} +- {dataset: CMS_TTBAR_5TEV_TOT_X-SEC, frac: 1.0, cfac: [], variant: legacy} + ############################################################ datacuts: t0pdfset: NNPDF40_nnlo_as_01180 # PDF set to generate t0 covmat q2min : 3.49 # Q2 minimum w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut ############################################################ theory: @@ -76,13 +67,13 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSDYC, maxlambda: 1e5 } + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_XUQ, maxlambda: 1e6} # Positivity of MSbar PDFs integrability: integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} - - {dataset: INTEGXT3, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT3, maxlambda: 1e2} ############################################################ debug: true diff --git a/n3fit/src/n3fit/tests/regressions/hyper-quickcard.yml b/n3fit/src/n3fit/tests/regressions/hyper-quickcard.yml index 9b8974a23c..f3387ef211 100644 --- a/n3fit/src/n3fit/tests/regressions/hyper-quickcard.yml +++ b/n3fit/src/n3fit/tests/regressions/hyper-quickcard.yml @@ -21,15 +21,6 @@ datacuts: t0pdfset: NNPDF40_nnlo_as_01180 # PDF set to generate t0 covmat q2min : 3.49 # Q2 minimum w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut ############################################################ theory: @@ -103,24 +94,24 @@ parameters: # This defines the parameter dictionary that is passed to the Model fitting: fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc. basis: - - { fl: sng, pos: False, mutsize: [15], mutprob: [0.05], smallx: [1.05,1.19], largex: [1.47,2.70] } - - { fl: g, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.94,1.25], largex: [0.11,5.87] } - - { fl: v, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.54,0.75], largex: [1.15,2.76] } - - { fl: v3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.21,0.57], largex: [1.35,3.08] } - - { fl: v8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.52,0.76], largex: [0.77,3.56] } - - { fl: t3, pos: False, mutsize: [15], mutprob: [0.05], smallx: [-0.37,1.52], largex: [1.74,3.39] } - - { fl: t8, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.56,1.29], largex: [1.45,3.03] } - - { fl: cp, pos: False, mutsize: [15], mutprob: [0.05], smallx: [0.12,1.19], largex: [1.83,6.70] } + - { fl: sng, smallx: [1.05,1.19], largex: [1.47,2.70] } + - { fl: g, smallx: [0.94,1.25], largex: [0.11,5.87] } + - { fl: v, smallx: [0.54,0.75], largex: [1.15,2.76] } + - { fl: v3, smallx: [0.21,0.57], largex: [1.35,3.08] } + - { fl: v8, smallx: [0.52,0.76], largex: [0.77,3.56] } + - { fl: t3, smallx: [-0.37,1.52], largex: [1.74,3.39] } + - { fl: t8, smallx: [0.56,1.29], largex: [1.45,3.03] } + - { fl: cp, smallx: [0.12,1.19], largex: [1.83,6.70] } ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSDYS , maxlambda: 1e5 } + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e5} integrability: integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} ############################################################ closuretest: diff --git a/n3fit/src/n3fit/tests/regressions/noval-quickcard.yml b/n3fit/src/n3fit/tests/regressions/noval-quickcard.yml index 6df9b367e3..58bf568a1d 100644 --- a/n3fit/src/n3fit/tests/regressions/noval-quickcard.yml +++ b/n3fit/src/n3fit/tests/regressions/noval-quickcard.yml @@ -12,22 +12,13 @@ description: n3fit regression test # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- { dataset: NMC, frac: 1.0 } +- { dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 1.0, variant: legacy } ############################################################ datacuts: t0pdfset: NNPDF40_nnlo_as_01180 # PDF set to generate t0 covmat q2min : 3.49 # Q2 minimum w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut ############################################################ theory: @@ -37,7 +28,7 @@ theory: genrep: True # on = generate MC replicas, False = use real data trvlseed: 3 nnseed: 2 -mcseed: 1 +mcseed: 1 parameters: # This defines the parameter dictionary that is passed to the Model Trainer nodes_per_layer: [15, 10, 8] @@ -68,11 +59,12 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + integrability: integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} ############################################################ closuretest: diff --git a/n3fit/src/n3fit/tests/regressions/pc-quickcard.yml b/n3fit/src/n3fit/tests/regressions/pc-quickcard.yml index c5fa6679c9..d2c47e9aa3 100644 --- a/n3fit/src/n3fit/tests/regressions/pc-quickcard.yml +++ b/n3fit/src/n3fit/tests/regressions/pc-quickcard.yml @@ -12,22 +12,13 @@ description: n3fit regression test # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- { dataset: NMC, frac: 1.0 } +- { dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 1.0, variant: legacy } ############################################################ datacuts: t0pdfset: NNPDF40_nnlo_as_01180 # PDF set to generate t0 covmat q2min : 3.49 # Q2 minimum w2min : 12.5 # W2 minimum - combocuts : NNPDF31 # NNPDF3.0 final kin. cuts - jetptcut_tev : 0 # jet pt cut for tevatron - jetptcut_lhc : 0 # jet pt cut for lhc - wptcut_lhc : 30.0 # Minimum pT for W pT diff distributions - jetycut_tev : 1e30 # jet rap. cut for tevatron - jetycut_lhc : 1e30 # jet rap. cut for lhc - dymasscut_min: 0 # dy inv.mass. min cut - dymasscut_max: 1e30 # dy inv.mass. max cut - jetcfactcut : 1e30 # jet cfact. cut ############################################################ theory: @@ -37,7 +28,7 @@ theory: genrep: True # on = generate MC replicas, False = use real data trvlseed: 3 nnseed: 2 -mcseed: 1 +mcseed: 1 parameters: # This defines the parameter dictionary that is passed to the Model Trainer nodes_per_layer: [15, 10, 7] @@ -54,17 +45,8 @@ parameters: # This defines the parameter dictionary that is passed to the Model threshold_chi2: 50.0 fitting: - # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7) - # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7) - # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7) - # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7) - fitbasis: NN31PC # EVOL (7), EVOLQED (8), etc. + fitbasis: NN31PC basis: - # remeber to change the name of PDF accordingly with fitbasis - # pos: True for NN squared - # mutsize: mutation size - # mutprob: mutation probability - # smallx, largex: preprocessing ranges - { fl: sng, smallx: [1.05,1.19], largex: [1.47,2.70] } - { fl: g, smallx: [0.94,1.25], largex: [0.11,5.87] } - { fl: v, smallx: [0.54,0.75], largex: [1.15,2.76] } @@ -76,7 +58,7 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier ############################################################ closuretest: diff --git a/n3fit/src/n3fit/tests/regressions/quickcard-parallel.yml b/n3fit/src/n3fit/tests/regressions/quickcard-parallel.yml index 9bbca334de..634a56e88a 100644 --- a/n3fit/src/n3fit/tests/regressions/quickcard-parallel.yml +++ b/n3fit/src/n3fit/tests/regressions/quickcard-parallel.yml @@ -1,6 +1,6 @@ # # Configuration file for n3fit regression tests -# This runcard includes two DIS datasets, one Hadronic dataset +# This runcard includes one DIS dataset # and two positivity datasets # @@ -12,7 +12,7 @@ description: n3fit regression test # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- { dataset: NMC, frac: 0.5 } +- { dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 0.5, variant: legacy } ############################################################ datacuts: @@ -66,12 +66,12 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSDYS, maxlambda: 1e5 } + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e5} integrability: integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} ############################################################ debug: true diff --git a/n3fit/src/n3fit/tests/regressions/quickcard-sequential.yml b/n3fit/src/n3fit/tests/regressions/quickcard-sequential.yml index e67aacef14..87ac1edaff 100644 --- a/n3fit/src/n3fit/tests/regressions/quickcard-sequential.yml +++ b/n3fit/src/n3fit/tests/regressions/quickcard-sequential.yml @@ -1,6 +1,6 @@ # # Configuration file for n3fit regression tests -# This runcard includes two DIS datasets, one Hadronic dataset +# This runcard includes one DIS datasets # and two positivity datasets # @@ -12,7 +12,7 @@ description: n3fit regression test # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- { dataset: NMC, frac: 0.5 } +- { dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 0.5, variant: legacy } ############################################################ datacuts: @@ -66,12 +66,12 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSDYS, maxlambda: 1e5 } + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e5} integrability: integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} ############################################################ debug: true diff --git a/n3fit/src/n3fit/tests/regressions/quickcard.yml b/n3fit/src/n3fit/tests/regressions/quickcard.yml index 2e1f5353eb..ca51c9a339 100644 --- a/n3fit/src/n3fit/tests/regressions/quickcard.yml +++ b/n3fit/src/n3fit/tests/regressions/quickcard.yml @@ -12,10 +12,10 @@ description: n3fit regression test # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- { dataset: NMC, frac: 0.5 } -- { dataset: SLACP, frac: 0.5} -- { dataset: CMSZDIFF12, frac: 0.5, cfac: ['QCD'], sys: 10 } -- { dataset: ATLASTTBARTOT8TEV, frac: 1.0, cfac: ['QCD'] } +- {dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 0.5, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_P_EM-F2, frac: 0.5, variant: legacy} +- {dataset: CMS_Z0J_8TEV_PT-Y, frac: 0.5, cfac: ['QCD'], variant: legacy_10} +- {dataset: ATLAS_TTBAR_8TEV_TOT_X-SEC, frac: 1.0, cfac: ['QCD'], variant: legacy} ############################################################ datacuts: @@ -69,12 +69,12 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSDYS, maxlambda: 1e5 } + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e5} integrability: integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} ############################################################ debug: true diff --git a/n3fit/src/n3fit/tests/regressions/quickcard_qed.yml b/n3fit/src/n3fit/tests/regressions/quickcard_qed.yml index 9ce6f69b0b..684bb47afd 100644 --- a/n3fit/src/n3fit/tests/regressions/quickcard_qed.yml +++ b/n3fit/src/n3fit/tests/regressions/quickcard_qed.yml @@ -1,6 +1,6 @@ # # Configuration file for n3fit regression tests -# This runcard includes two DIS datasets, one Hadronic dataset +# This runcard includes two DIS datasets, two Hadronic dataset # and two positivity datasets # @@ -12,10 +12,10 @@ description: n3fit regression test # ewk: apply ewk k-factors # sys: systematics treatment (see systypes) dataset_inputs: -- { dataset: NMC, frac: 0.5 } -- { dataset: SLACP_dwsh, frac: 0.5} -- { dataset: CMSZDIFF12, frac: 0.5, cfac: ['QCD'], sys: 10 } -- { dataset: ATLASTTBARTOT8TEV, frac: 1.0, cfac: ['QCD'] } +- {dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, frac: 0.5, variant: legacy} +- {dataset: SLAC_NC_NOTFIXED_P_DW_EM-F2, frac: 0.5, variant: legacy} +- {dataset: CMS_Z0J_8TEV_PT-Y, frac: 0.5, cfac: ['QCD'], variant: legacy_10} +- {dataset: ATLAS_TTBAR_8TEV_TOT_X-SEC, frac: 1.0, cfac: ['QCD'], variant: legacy} ############################################################ datacuts: @@ -68,12 +68,12 @@ fitting: ############################################################ positivity: posdatasets: - - { dataset: POSF2U, maxlambda: 1e6 } # Positivity Lagrange Multiplier - - { dataset: POSDYS, maxlambda: 1e5 } + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} # Positivity Lagrange Multiplier + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e5} integrability: integdatasets: - - {dataset: INTEGXT8, maxlambda: 1e2} + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} ############################################################ debug: true diff --git a/n3fit/src/n3fit/tests/test_evolven3fit.py b/n3fit/src/n3fit/tests/test_evolven3fit.py index 55e719cf90..955fec3071 100644 --- a/n3fit/src/n3fit/tests/test_evolven3fit.py +++ b/n3fit/src/n3fit/tests/test_evolven3fit.py @@ -111,7 +111,7 @@ def test_utils(): np.testing.assert_allclose(my_PDF.xfxQ2(pid, x, q20), x * (1.0 - x)) # Testing read_runcard runcard = utils.read_runcard(REGRESSION_FOLDER) - assert runcard["description"] == "n3fit regression test" + assert isinstance(runcard["description"], str) assert runcard["datacuts"]["t0pdfset"] == "NNPDF40_nnlo_as_01180" # Testing get_theoryID_from_runcard ID = utils.get_theoryID_from_runcard(REGRESSION_FOLDER) diff --git a/n3fit/src/n3fit/vpinterface.py b/n3fit/src/n3fit/vpinterface.py index c564941f7d..762060292f 100644 --- a/n3fit/src/n3fit/vpinterface.py +++ b/n3fit/src/n3fit/vpinterface.py @@ -18,6 +18,7 @@ """ + from collections.abc import Iterable import logging @@ -360,7 +361,7 @@ def compute_phi(n3pdf, experimental_data): >>> fake_fl = [{'fl' : i, 'largex' : [0,1], 'smallx': [1,2]} for i in ['u', 'ubar', 'd', 'dbar', 'c', 'g', 's', 'sbar']] >>> pdf_model = generate_pdf_model(nodes=[8], activations=['linear'], seed=0, num_replicas=2, flav_info=fake_fl, fitbasis="FLAVOUR") >>> n3pdf = N3PDF(pdf_model.split_replicas()) - >>> ds = Loader().check_dataset("NMC", theoryid=399, cuts="internal") + >>> ds = Loader().check_dataset("NMC_NC_NOTFIXED_P_EM-SIGMARED", theoryid=399, cuts="internal") >>> data_group_spec = Loader().check_experiment("My DataGroupSpec", [ds]) >>> phi = compute_phi(n3pdf, [data_group_spec]) """ diff --git a/validphys2/src/validphys/tests/test_commondata_columns.py b/validphys2/src/validphys/tests/test_commondata_columns.py deleted file mode 100644 index 157337edb1..0000000000 --- a/validphys2/src/validphys/tests/test_commondata_columns.py +++ /dev/null @@ -1,56 +0,0 @@ -""" -Test that the multiplicative and additive columns of commondata -are consistent. - -""" -import numpy as np -import pytest - -from validphys.commondataparser import load_commondata -from validphys.loader import Loader - -def _cd_column_comparison(cd): - """Given a py:func:`validphys.coredata.CommonData` object, test - if the multiplicative and additive columns are consistent. In general - the ``mult`` columns and the ``add`` columns should be related by: - - add = mult * central_value * 1e-2 - - """ - add = cd.systematics_table.loc[:, ["ADD"]] - mult = cd.systematics_table.loc[:, ["MULT"]] - cv = cd.central_values - np.testing.assert_allclose( - cv.to_numpy()[:, np.newaxis] * mult.to_numpy() * 1e-2, - add.to_numpy(), - rtol=1e-05, # use the allclose values (less stringent tolerances) - atol=1e-08, - ) - -DS_NAMES = [ - "LHCBZEE2FB_40", - "LHCBW36PB_40", - "CDFZRAP_NEW", - "CMSTTBARTOT7TEV", - "CMSTTBARTOT8TEV", - "CMSTTBARTOT13TEV", - "CMS_2JET_3D_8TEV", - "D0ZRAP_40", - "ATLASPHT15", -] - -L = Loader() - -@pytest.mark.parametrize("dataset_name", DS_NAMES) -def test_dataset_commondata_columns_match(dataset_name): - """Apply :py:func:`_cd_column_comparison` to list of - datasets in ``DS_NAMES``. Checking if the columns in the - commondata file are self consistent. - - """ - # Note: If the dataset should have additional contributions to the - # covmat, like sys: 10 then DS_NAMES should be changed to be proper dataset - # inputs and we should use API here. Use loader to keep test fast. - cdspec = L.check_commondata(dataset_name) - lcd = load_commondata(cdspec) - _cd_column_comparison(lcd) diff --git a/validphys2/src/validphys/tests/test_commondataparser.py b/validphys2/src/validphys/tests/test_commondataparser.py index 92d115b434..7bf492ea76 100644 --- a/validphys2/src/validphys/tests/test_commondataparser.py +++ b/validphys2/src/validphys/tests/test_commondataparser.py @@ -4,22 +4,22 @@ from validphys.api import API from validphys.commondataparser import load_commondata from validphys.loader import FallbackLoader as Loader -from validphys.tests.conftest import THEORYID, FIT +from validphys.tests.conftest import THEORYID_NEW, FIT def test_basic_commondata_loading(): l = Loader() - cd = l.check_commondata(setname="H1HERAF2B") + cd = l.check_commondata(setname="SLAC_NC_NOTFIXED_D_DW_EM-F2", variant="legacy") res = load_commondata(cd) # Test commondata loading - assert res.ndata == 12 + assert res.ndata == 211 assert isinstance(res.commondata_table, pd.DataFrame) # Test systype loading - assert res.nsys == 25 + assert res.nsys == 103 assert isinstance(res.systype_table, pd.DataFrame) # Test a dataset with no systematics - emptysyscd = l.check_posset(theoryID=THEORYID, setname='POSDYCBD', postlambda=1e-10) + emptysyscd = l.check_posset(theoryID=THEORYID_NEW, setname='NNPDF_POS_2P24GEV_XDQ', postlambda=1e-10) emptysysres = load_commondata(emptysyscd.commondata) assert emptysysres.nsys == 0 assert emptysysres.systype_table.empty is True @@ -27,14 +27,14 @@ def test_basic_commondata_loading(): def test_commondata_with_cuts(): l = Loader() - setname = "NMC" + setname = "NMC_NC_NOTFIXED_P_EM-SIGMARED" - cd = l.check_commondata(setname=setname) + cd = l.check_commondata(setname=setname, variant="legacy") loaded_cd = load_commondata(cd) fit_cuts = l.check_fit_cuts(fit=FIT, commondata=cd) internal_cuts = l.check_internal_cuts( - cd, API.rules(theoryid=THEORYID, use_cuts="internal") + cd, API.rules(theoryid=THEORYID_NEW, use_cuts="internal") ) loaded_cd_fit_cuts = loaded_cd.with_cuts(fit_cuts) @@ -57,7 +57,7 @@ def test_commondata_with_cuts(): assert all(loaded_cd.with_cuts([1, 2, 3]).commondata_table.index - 1 == [1, 2, 3]) # Check that giving cuts for another dataset raises the correct ValueError exception - cd_bad = l.check_commondata(setname="NMCPD") + cd_bad = l.check_commondata(setname="NMC_NC_NOTFIXED_EM-F2", variant="legacy") bad_cuts = l.check_fit_cuts(fit=FIT, commondata=cd_bad) with pytest.raises(ValueError): loaded_cd.with_cuts(bad_cuts)