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Add restricted space runcard
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@Cmurilochem
Cmurilochem committed Apr 25, 2024
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#
# Configuration file for n3fit
#
############################################################
description: "NNPDF4.0 NNLO reduced set for hyperoptimization"
############################################################
# frac: training fraction
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, cfac: [], variant: legacy}
- {dataset: DYE605_Z0_38P8GEV_DW_PXSEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: DYE906_Z0_120GEV_DW_PDXSECRATIO, frac: 0.75, cfac: [ACC], 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_WPWM_7TEV_36PB_ETA, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_Z0_7TEV_36PB_ETA, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_Z0_7TEV_49FB_HIMASS, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_Z0_7TEV_LOMASS_M, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_WPWM_7TEV_46FB_CC-ETA, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_Z0_7TEV_46FB_CC-Y, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_Z0_7TEV_46FB_CF-Y, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_Z0_8TEV_HIMASS_M-Y, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_Z0_8TEV_LOWMASS_M-Y, frac: 0.75, cfac: [], 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, cfac: [], variant: legacy}
- {dataset: ATLAS_WJ_JET_8TEV_WM-PT, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_Z0J_8TEV_PT-M, frac: 0.75, cfac: [], variant: legacy_10}
- {dataset: ATLAS_Z0J_8TEV_PT-Y, frac: 0.75, cfac: [], variant: legacy_10}
- {dataset: ATLAS_TTBAR_7TEV_TOT_X-SEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_TTBAR_8TEV_TOT_X-SEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_TTBAR_13TEV_TOT_X-SEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_TTBAR_8TEV_LJ_DIF_YT-NORM, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_TTBAR_8TEV_LJ_DIF_YTTBAR-NORM, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_TTBAR_8TEV_2L_DIF_YTTBAR-NORM, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_1JET_8TEV_R06_PTY, frac: 0.75, cfac: [], variant: legacy_decorrelated}
- {dataset: ATLAS_2JET_7TEV_R06_M12Y, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_PH_13TEV_XSEC, frac: 0.75, cfac: [EWK], variant: legacy}
- {dataset: ATLAS_SINGLETOP_7TEV_TCHANNEL-XSEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_SINGLETOP_13TEV_TCHANNEL-XSEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_SINGLETOP_7TEV_T-Y-NORM, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_SINGLETOP_7TEV_TBAR-Y-NORM, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_SINGLETOP_8TEV_T-RAP-NORM, frac: 0.75, cfac: [], variant: legacy}
- {dataset: ATLAS_SINGLETOP_8TEV_TBAR-RAP-NORM, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_WPWM_7TEV_ELECTRON_ASY, frac: 0.75, cfac: []}
- {dataset: CMS_WPWM_7TEV_MUON_ASY, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_Z0_7TEV_DIMUON_2D, frac: 0.75, cfac: []}
- {dataset: CMS_WPWM_8TEV_MUON_Y, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_Z0J_8TEV_PT-Y, frac: 0.75, cfac: [NRM], variant: legacy_10}
- {dataset: CMS_2JET_7TEV_M12Y, frac: 0.75, cfac: []}
- {dataset: CMS_1JET_8TEV_PTY, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_TTBAR_7TEV_TOT_X-SEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_TTBAR_8TEV_TOT_X-SEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_TTBAR_13TEV_TOT_X-SEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_TTBAR_8TEV_LJ_DIF_YTTBAR-NORM, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_TTBAR_5TEV_TOT_X-SEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_TTBAR_8TEV_2L_DIF_MTTBAR-YT-NORM, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_TTBAR_13TEV_2L_DIF_YT, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_TTBAR_13TEV_LJ_2016_DIF_YTTBAR, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_SINGLETOP_7TEV_TCHANNEL-XSEC, frac: 0.75, cfac: [], variant: legacy}
- {dataset: CMS_SINGLETOP_8TEV_TCHANNEL-XSEC, 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_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, cfac: []}
- {dataset: LHCB_Z0_13TEV_DIELECTRON-Y, frac: 0.75, cfac: []}

############################################################
datacuts:
t0pdfset: NNPDF40_nnlo_as_01180_qcd # PDF set to generate t0 covmat
q2min: 3.49 # Q2 minimum
w2min: 12.5 # W2 minimum

############################################################
theory:
theoryid: 700 # database id

sampling:
separate_multiplicative: false

hyperscan_config:
architecture:
n_layers: [2]
min_units: 10
max_units: 45
optimizer:
- 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

kfold:
loss_type: chi2
replica_statistic: average
fold_statistic: average
penalties:
- saturation
- patience
- integrability
threshold: 10
partitions:
- datasets:
# DIS
- HERA_CC_318GEV_EM-SIGMARED
- HERA_NC_225GEV_EP-SIGMARED
#- HERA_NC_318GEV_EAVG_BOTTOM-SIGMARED
- HERA_NC_318GEV_EAVG_CHARM-SIGMARED
- NMC_NC_NOTFIXED_P_EM-SIGMARED
- NUTEV_CC_NOTFIXED_FE_DW_NB-SIGMARED
# EWK
- LHCB_Z0_8TEV_DIELECTRON_Y
- CMS_WPWM_7TEV_ELECTRON_ASY
- ATLAS_Z0J_8TEV_PT-M
- D0_WPWM_1P96TEV_ASY
- DYE866_Z0_800GEV_PXSEC
# JETS+TOP
- ATLAS_PH_13TEV_XSEC
- ATLAS_2JET_7TEV_R06_M12Y
- ATLAS_SINGLETOP_8TEV_TBAR-RAP-NORM
- CMS_TTBAR_7TEV_TOT_X-SEC # is this right or should it be one of the others?
- CMS_SINGLETOP_7TEV_TCHANNEL-XSEC
- datasets:
# DIS
- CHORUS_CC_NOTFIXED_PB_DW_NU-SIGMARED
- HERA_NC_318GEV_EP-SIGMARED
- BCDMS_NC_NOTFIXED_P_DW_EM-F2
# EWK
- LHCB_Z0_7TEV_DIELECTRON_Y
- ATLAS_Z0_7TEV_36PB_ETA
- CMS_Z0J_8TEV_PT-Y
- DYE605_Z0_38P8GEV_DW_PXSEC
- CMS_Z0_7TEV_DIMUON_2D
# JET+TOP
- CMS_2JET_7TEV_M12Y
- ATLAS_SINGLETOP_7TEV_TBAR-Y-NORM
- ATLAS_SINGLETOP_7TEV_TCHANNEL-XSEC
- CMS_TTBAR_8TEV_LJ_DIF_YTTBAR-NORM
- CMS_SINGLETOP_8TEV_TCHANNEL-XSEC
- datasets:
# DIS
- HERA_CC_318GEV_EP-SIGMARED
- HERA_NC_251GEV_EP-SIGMARED
- NMC_NC_NOTFIXED_DW_EM-F2
- NUTEV_CC_NOTFIXED_FE_DW_NU-SIGMARED
# EWK
- LHCB_WPWM_7TEV_MUON_Y
- LHCB_Z0_13TEV_DIELECTRON-Y
- ATLAS_Z0_7TEV_46FB_CC-Y
- ATLAS_WJ_JET_8TEV_WP-PT
- ATLAS_Z0_7TEV_49FB_HIMASS
- CMS_WPWM_7TEV_MUON_ASY
- DYE866_Z0_800GEV_DW_RATIO_PDXSECRATIO
- CDF_Z0_1P96TEV_ZRAP
# JET+TOP
- ATLAS_TTBAR_7TEV_TOT_X-SEC
- ATLAS_SINGLETOP_8TEV_T-RAP-NORM
- CMS_TTBAR_5TEV_TOT_X-SEC
- CMS_TTBAR_8TEV_2L_DIF_MTTBAR-YT-NORM
- datasets:
# DIS
- CHORUS_CC_NOTFIXED_PB_DW_NB-SIGMARED
- HERA_NC_300GEV_EP-SIGMARED
# EWK
- LHCB_WPWM_8TEV_MUON_Y
- LHCB_Z0_13TEV_DIMUON-Y
- ATLAS_Z0_7TEV_46FB_CF-Y
- ATLAS_WJ_JET_8TEV_WM-PT
- ATLAS_Z0_7TEV_LOMASS_M
- ATLAS_Z0J_8TEV_PT-Y
- CMS_WPWM_8TEV_MUON_Y
- D0_Z0_1P96TEV_ZRAP
# JET+TOP
- CMS_1JET_8TEV_PTY
- ATLAS_SINGLETOP_7TEV_T-Y-NORM
- ATLAS_SINGLETOP_13TEV_TCHANNEL-XSEC
- CMS_SINGLETOP_13TEV_TCHANNEL-XSEC

############################################################
trvlseed: 2182363835
nnseed: 4044040809
mcseed: 1977428487
genrep: true # true = generate MC replicas, false = use real data

# Baseline parameters from table 9 of https://doi.org/10.1140/epjc/s10052-022-10328-7
# These are used for parameters that are not included in the hyperoptimization
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:
savepseudodata: false
fitbasis: EVOL
basis:
- {fl: sng, trainable: false, smallx: [1.091, 1.119], largex: [1.471, 3.021]}
- {fl: g, trainable: false, smallx: [0.7795, 1.095], largex: [2.742, 5.547]}
- {fl: v, trainable: false, smallx: [0.472, 0.7576], largex: [1.571, 3.559]}
- {fl: v3, trainable: false, smallx: [0.07483, 0.4501], largex: [1.714, 3.467]}
- {fl: v8, trainable: false, smallx: [0.5731, 0.779], largex: [1.555, 3.465]}
- {fl: t3, trainable: false, smallx: [-0.5498, 1.0], largex: [1.778, 3.5]}
- {fl: t8, trainable: false, smallx: [0.5469, 0.857], largex: [1.555, 3.391]}
- {fl: t15, trainable: false, smallx: [1.081, 1.142], largex: [1.491, 3.092]}

############################################################
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
parallel_models: true

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