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update LO runcards #1296

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Jun 16, 2021
Merged

update LO runcards #1296

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d3e8df7
update LO runcards
RoyStegeman Jun 16, 2021
d0615db
do NNPDF++ -> n3fit in runcard comment
RoyStegeman Jun 16, 2021
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37 changes: 14 additions & 23 deletions n3fit/runcards/NNPDF40_lo_as_0118.yml
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Original file line number Diff line number Diff line change
@@ -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
Expand Down Expand Up @@ -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
Expand Down Expand Up @@ -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

Expand All @@ -239,36 +238,28 @@ 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:
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}
Expand Down
41 changes: 19 additions & 22 deletions n3fit/runcards/NNPDF40_lo_as_0118_pch.yml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -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
Expand All @@ -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: []}
Expand Down Expand Up @@ -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]}
Expand Down Expand Up @@ -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]}
Expand Down Expand Up @@ -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
Expand All @@ -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]
Expand All @@ -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}
Expand Down