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n3fit/runcards/examples/architecture_mod/runcard_kernels.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,127 @@ | ||
| # | ||
| # Configuration file for n3fit | ||
| # | ||
|
|
||
| ############################################################ | ||
| description: Architecture Testing - With Input --> last layer skip-connection | ||
|
|
||
| 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} | ||
| # 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} | ||
|
|
||
|
|
||
| ############################################################ | ||
| 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 | ||
|
|
||
| sampling: | ||
| separate_multiplicative: true | ||
|
|
||
| ############################################################ | ||
| trvlseed: 1 | ||
| nnseed: 2 | ||
| mcseed: 3 | ||
| 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: [15, 8] | ||
| arch_mods: [['kernels', true]] | ||
| activation_per_layer: [tanh, linear] | ||
| initializer: glorot_normal | ||
| optimizer: | ||
| clipnorm: 0.001 | ||
| learning_rate: 0.001 | ||
| optimizer_name: Nadam | ||
| epochs: 5 | ||
| positivity: | ||
| initial: 184.8 | ||
| multiplier: 1.05 | ||
| integrability: | ||
| initial: 10 | ||
| multiplier: | ||
| stopping_patience: 0.2 | ||
| 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: True | ||
| maxcores: 8 | ||
|
|
||
| tensorboard: | ||
| weight_freq: 100 | ||
| profiling: False | ||
|
|
||
| save: 'weights.h5' | ||
| # load: '/path/to/weights.h5/file' |
126 changes: 126 additions & 0 deletions
126
n3fit/runcards/examples/architecture_mod/runcard_no_mod.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,126 @@ | ||
| # | ||
| # Configuration file for n3fit | ||
| # | ||
|
|
||
| ############################################################ | ||
| description: Architecture Testing - No modifications | ||
|
|
||
| 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} | ||
| # 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} | ||
|
|
||
|
|
||
| ############################################################ | ||
| 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 | ||
|
|
||
| sampling: | ||
| separate_multiplicative: true | ||
|
|
||
| ############################################################ | ||
| trvlseed: 1 | ||
| nnseed: 2 | ||
| mcseed: 3 | ||
| 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: [15, 15, 8] | ||
| activation_per_layer: [tanh, tanh, linear] | ||
| initializer: glorot_normal | ||
| optimizer: | ||
| clipnorm: 0.001 | ||
| learning_rate: 0.01 | ||
| optimizer_name: Nadam | ||
| epochs: 5000 | ||
| positivity: | ||
| initial: 184.8 | ||
| multiplier: 1.05 | ||
| integrability: | ||
| initial: 10 | ||
| multiplier: | ||
| stopping_patience: 0.2 | ||
| 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: True | ||
| maxcores: 8 | ||
|
|
||
| tensorboard: | ||
| weight_freq: 100 | ||
| profiling: False | ||
|
|
||
| save: 'weights.h5' | ||
| # load: '/path/to/weights.h5/file' |
127 changes: 127 additions & 0 deletions
127
n3fit/runcards/examples/architecture_mod/runcard_skip_connections.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,127 @@ | ||
| # | ||
| # Configuration file for n3fit | ||
| # | ||
|
|
||
| ############################################################ | ||
| description: Architecture Testing - With Input --> last layer skip-connection | ||
|
|
||
| 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} | ||
| # 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} | ||
|
|
||
|
|
||
| ############################################################ | ||
| 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 | ||
|
|
||
| sampling: | ||
| separate_multiplicative: true | ||
|
|
||
| ############################################################ | ||
| trvlseed: 1 | ||
| nnseed: 2 | ||
| mcseed: 3 | ||
| 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: [15, 15, 8] | ||
| arch_mods: [['skip_connections', [[1,0], [2,1]]]] | ||
| activation_per_layer: [tanh, tanh, linear] | ||
| initializer: glorot_normal | ||
| optimizer: | ||
| clipnorm: 0.001 | ||
| learning_rate: 0.01 | ||
| optimizer_name: Nadam | ||
| epochs: 5000 | ||
| positivity: | ||
| initial: 184.8 | ||
| multiplier: 1.05 | ||
| integrability: | ||
| initial: 10 | ||
| multiplier: | ||
| stopping_patience: 0.2 | ||
| 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: True | ||
| maxcores: 8 | ||
|
|
||
| tensorboard: | ||
| weight_freq: 100 | ||
| profiling: False | ||
|
|
||
| save: 'weights.h5' | ||
| # load: '/path/to/weights.h5/file' |
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