diff --git a/n3fit/runcards/NNPDF40_lo_as_0118.yml b/n3fit/runcards/NNPDF40_lo_as_0118.yml index cf51110e46..3199cfd96c 100644 --- a/n3fit/runcards/NNPDF40_lo_as_0118.yml +++ b/n3fit/runcards/NNPDF40_lo_as_0118.yml @@ -1,7 +1,7 @@ +# # Configuration file for n3fit # -description: NNPDF4.0 LO global, deuteron and nuclear uncertainties. Runcard for the - baseline LO fit. alphas=0.118 +description: NNPDF4.0 LO global, alphas=0.118 ############################################################ # frac: training fraction @@ -180,7 +180,6 @@ NNLODatasets: &NNLODatasets - {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 @@ -214,10 +213,10 @@ theory: theoryid: 213 # database id ############################################################ - -trvlseed: 1520585894 -nnseed: 2647869818 -mcseed: 1101490705 +sum_rules: MSR +trvlseed: 285649527 +nnseed: 1880517920 +mcseed: 2056988674 save: false genrep: true # true = generate MC replicas, false = use real data @@ -239,24 +238,18 @@ parameters: # This defines the parameter dictionary that is passed to the Model stopping_patience: 0.1 layer_type: dense dropout: 0.0 - # threshold_chi2: 3.5 fitting: - sum_rules: MSR - # 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: FLAVOUR # EVOL (7), EVOLQED (8), etc. basis: - - {fl: u, trainable: false, smallx: [1,1], largex: [1.655, 4.386]} - - {fl: ubar, trainable: false, smallx: [1,1], largex: [2.766, 11.61]} - - {fl: d, trainable: false, smallx: [1,1], largex: [3.48, 6.71]} - - {fl: dbar, trainable: false, smallx: [1,1], largex: [4.274, 13.33]} - - {fl: s, trainable: false, smallx: [1,1], largex: [4.861, 9.974]} - - {fl: sbar, trainable: false, smallx: [1,1], largex: [4.648, 12.43]} - - {fl: c, trainable: false, smallx: [1,1], largex: [2.878, 7.57]} - - {fl: g, trainable: false, smallx: [1,1], largex: [3.453, 13.24]} + - {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: @@ -264,11 +257,9 @@ positivity: - {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} diff --git a/n3fit/runcards/NNPDF40_lo_as_0118_pch.yml b/n3fit/runcards/NNPDF40_lo_as_0118_pch.yml index 28f91aa445..82bf880065 100644 --- a/n3fit/runcards/NNPDF40_lo_as_0118_pch.yml +++ b/n3fit/runcards/NNPDF40_lo_as_0118_pch.yml @@ -1,8 +1,7 @@ # # Configuration file for n3fit # -description: NNPDF4.0 LO global, deuteron and nuclear uncertainties. Runcard for the - perturbative charm LO fit. alphas=0.118 +description: NNPDF4.0 LO global, pert. charm, alphas=0.118 ############################################################ # frac: training fraction @@ -27,7 +26,7 @@ LODatasets: &LODatasets - {dataset: HERACOMBNCEP820, frac: 0.75} - {dataset: HERACOMBNCEP920, frac: 0.75} - {dataset: HERACOMBCCEM, frac: 0.75} -- {dataset: HERACOMBCCEP, 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: []} @@ -114,8 +113,8 @@ NNLODatasets: &NNLODatasets - {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: 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]} @@ -145,7 +144,7 @@ NNLODatasets: &NNLODatasets - {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: ATLASPH15_SF, frac: 0.75, cfac: [QCD, EWK]} +- {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]} @@ -201,9 +200,10 @@ cuts_intersection_spec: dataset_inputs: *NNLODatasets + ############################################################ datacuts: - t0pdfset: 210504-03-rs-nnpdf40-lo-pch # PDF set to generate t0 covmat + 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 @@ -213,11 +213,11 @@ theory: theoryid: 214 # database id ############################################################ -trvlseed: 568256760 -nnseed: 3756954509 -mcseed: 1316499424 +trvlseed: 3655611959 +nnseed: 1217444430 +mcseed: 2363413108 save: false -genrep: true # true = generate MC replicas, false = use real data +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] @@ -237,30 +237,27 @@ parameters: # This defines the parameter dictionary that is passed to the Model stopping_patience: 0.1 layer_type: dense dropout: 0.0 -# threshold_chi2: 3.5 fitting: fitbasis: NN31PC # EVOL (7), EVOLQED (8), etc. basis: - - {fl: sng, trainable: false, smallx: [1.114, 1.203], largex: [1.338, 3.519]} - - {fl: g, trainable: false, smallx: [1.117, 1.217], largex: [2.239, 8.1]} - - {fl: v, trainable: false, smallx: [0.4308, 0.9017], largex: [1.413, 3.818]} - - {fl: v3, trainable: false, smallx: [0.06275, 0.7698], largex: [1.45, 3.74]} - - {fl: v8, trainable: false, smallx: [0.509, 0.8937], largex: [1.412, 3.757]} - - {fl: t3, trainable: false, smallx: [-0.7526, 1.414], largex: [1.403, 3.569]} - - {fl: t8, trainable: false, smallx: [0.5591, 1.246], largex: [1.374, 3.431]} + - {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: POSFLL, maxlambda: 1e6} + - {dataset: POSF2S, 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}