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| 1 | +# |
| 2 | +# Configuration file for n3fit regression tests |
| 3 | +# This runcard includes two DIS datasets, one Hadronic dataset |
| 4 | +# and two positivity datasets |
| 5 | +# |
| 6 | + |
| 7 | +############################################################ |
| 8 | +description: n3fit regression test for hyperotp sampling in NNPDF4.1 |
| 9 | + |
| 10 | +############################################################ |
| 11 | +# frac: training fraction |
| 12 | +# ewk: apply ewk k-factors |
| 13 | +# sys: systematics treatment (see systypes) |
| 14 | +dataset_inputs: |
| 15 | + - {dataset: NMC_NC_NOTFIXED_P_EM-SIGMARED, variant: legacy} |
| 16 | + - {dataset: SLAC_NC_NOTFIXED_P_EM-F2, variant: legacy_dw} |
| 17 | + - {dataset: CMS_Z0J_8TEV_PT-Y} |
| 18 | + - {dataset: ATLAS_TTBAR_8TEV_TOT_X-SEC} |
| 19 | +############################################################ |
| 20 | +datacuts: |
| 21 | + t0pdfset: NNPDF40_nnlo_as_01180 # PDF set to generate t0 covmat |
| 22 | + q2min : 3.49 # Q2 minimum |
| 23 | + w2min : 12.5 # W2 minimum |
| 24 | + |
| 25 | +############################################################ |
| 26 | +theory: |
| 27 | + theoryid: 41_000_000 # database id |
| 28 | + |
| 29 | +############################################################ |
| 30 | +genrep: False # on = generate MC replicas, False = use real data |
| 31 | +trvlseed: 3 |
| 32 | +nnseed: 2 |
| 33 | +mcseed: 1 |
| 34 | + |
| 35 | + |
| 36 | +trial_specs: |
| 37 | + hyperscan: 260204-jcm-hyperopt |
| 38 | + thermalization: 400 |
| 39 | + number_of_trials: 10 |
| 40 | + |
| 41 | +parameters: # This defines the parameter dictionary that is passed to the Model Trainer |
| 42 | + positivity: |
| 43 | + multiplier: 1.05 |
| 44 | + initial: 1.5 |
| 45 | + threshold_chi2: 10.0 |
| 46 | + feature_scaling_points: 5 |
| 47 | + |
| 48 | +fitting: |
| 49 | + fitbasis: CCBAR_ASYMM # EVOL (7), EVOLQED (8), etc. |
| 50 | + savepseudodata: False |
| 51 | + basis: |
| 52 | + - {fl: sng, trainable: false, smallx: [1.058, 1.155]} |
| 53 | + - {fl: g, trainable: false, smallx: [0.9017, 1.084]} |
| 54 | + - {fl: v, trainable: false, smallx: [0.481, 0.6499]} |
| 55 | + - {fl: v3, trainable: false, smallx: [0.08225, 0.502]} |
| 56 | + - {fl: v8, trainable: false, smallx: [0.5823, 0.7928]} |
| 57 | + - {fl: t3, trainable: false, smallx: [-0.3987, 0.9689]} |
| 58 | + - {fl: t8, trainable: false, smallx: [0.6077, 0.9459]} |
| 59 | + - {fl: t15, trainable: false, smallx: [1.023, 1.147]} |
| 60 | + - {fl: v15, trainable: false, smallx: [0.5005, 0.7189]} |
| 61 | + |
| 62 | +############################################################ |
| 63 | +positivity: |
| 64 | + posdatasets: |
| 65 | + - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6} |
| 66 | + - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e5} |
| 67 | + |
| 68 | +integrability: |
| 69 | + integdatasets: |
| 70 | + - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2} |
| 71 | + |
| 72 | +############################################################ |
| 73 | +debug: true |
| 74 | +double_precision: false |
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