From e38bc9c52a40e46c20cd43a81bfb525a3f55cdc8 Mon Sep 17 00:00:00 2001 From: Hamzeh Khanpour <58598278+hamzeh-khanpour@users.noreply.github.com> Date: Wed, 3 Jun 2026 04:24:00 -0400 Subject: [PATCH 1/2] Add HAPS EIC polarized PDF fit cards --- ...zed_PDFs_NLO_W2cut_4_EIC_18x275_Z_0-1.yaml | 168 ++++++++++++++++++ ...zed_PDFs_NLO_W2cut_4_EIC_18x275_Z_0-2.yaml | 168 ++++++++++++++++++ ...rized_PDFs_NLO_W2cut_4_EIC_5x41_Z_0-1.yaml | 168 ++++++++++++++++++ ...rized_PDFs_NLO_W2cut_4_EIC_5x41_Z_0-2.yaml | 168 ++++++++++++++++++ 4 files changed, 672 insertions(+) create mode 100644 config/Polarized_PDFs_NLO_W2cut_4_EIC_18x275_Z_0-1.yaml create mode 100644 config/Polarized_PDFs_NLO_W2cut_4_EIC_18x275_Z_0-2.yaml create mode 100644 config/Polarized_PDFs_NLO_W2cut_4_EIC_5x41_Z_0-1.yaml create mode 100644 config/Polarized_PDFs_NLO_W2cut_4_EIC_5x41_Z_0-2.yaml diff --git a/config/Polarized_PDFs_NLO_W2cut_4_EIC_18x275_Z_0-1.yaml b/config/Polarized_PDFs_NLO_W2cut_4_EIC_18x275_Z_0-1.yaml new file mode 100644 index 0000000..a93e64d --- /dev/null +++ b/config/Polarized_PDFs_NLO_W2cut_4_EIC_18x275_Z_0-1.yaml @@ -0,0 +1,168 @@ +################################# +# Predictions +################################# +Predictions: + # Perturbative order, 0: LO, 1: NLO 2: NNLO + perturbative order: 1 + + # Initial scale in GeV to be used for the DGLAP evolution of the FFs. + mu0: 1 + + # Quark thresholds + thresholds: [0, 0, 0, 1.51, 4.92] + + # Strong coupling + alphas: + aref: 0.1180 + Qref: 91.1876 + + # APFEL++ grid + xgrid: + - [200, 1e-5, 3] + - [100, 1e-1, 3] + - [80, 8e-1, 3] + + ################### + # Replica settings + ################### + # + # Here you can choose how replicas in the unpolarised PDF and FF + # sets are used in the analysis. + # 0: The central replica (mean value) is chosen for both + # unpolarised PDF and FF sets, overwriting the values + # provided below. + # -1: PDF and FF replicas are chosen randomly, overwriting + # the values provided below. + # 1: The values provided below are used to select a particular + # replica in the set. + # If the fit is performed with unfluctuated data ("./Optimise 0"), option 0 + # is automatically adopted. + Replica settings: -1 + + ############## + # Positivity + ############## + # Here you can select how the positivity constraint is + # implemented. + # false: the positivity bound is imposed with a unpolarised + # PDF replica selected randomly from the set. + # true: the positivity bound is imposed through the central + # replica of the unpolarised PDF set inflated by a + # factor specified in "Multiplicative factor". + Include Std: false + #Multiplicative factor: 5 + + # List of external sets to be used in the analysis. + # name: is the number of the PDF set as provided in + # the LHAPDF list. + # member: replica member to be used in the analysis. + # This key is overwritten if 'Replica settings' + # is either set to 0 or -1. + Sets: + # Unpolarised PDF set + unpolarised pdfset: + name: NNPDF40_nlo_pch_as_01180 + member: -1 #N>=0 for a specific member (0 for central) + + # FF sets + PIplus ffset: + name: MAPFF10NLOPIp + member: -1 + + PIminus ffset: + name: MAPFF10NLOPIm + member: -1 + + KAplus ffset: + name: MAPFF10NLOKAp + member: -1 + + KAminus ffset: + name: MAPFF10NLOKAm + member: -1 + +################################# +# Optimiser +################################# +# Parameters of the optimiser managed by ceres-solver +Optimizer: + max_num_iterations: 3000 + chi2_tolerance: 3 + +################################# +# NNAD +################################# +NNAD: + # Initialisation seed + seed: 0 + + # Flavour map + # Available flavour maps: + # - "separate sbar" (0): sbar, ubar, dbar, g, d, u, s + # - "s=sbar" (1): ubar, dbar, g, u, d, s = sbar. + flavour map: 0 + + # Architecture + # DO NOT MODIFY THE INPUT + # The output must be consistent with the flavour map: + # - "separate sbar" : 7 + # - "s=sbar" : 6 + architecture: [1, 10, 7] + +################################# +# Data +################################# +Data: + # Seed used for the replica generation and the splitting between + # training and validation (do not use a too large number here in + # order to avoid correlation in the replica generation). + seed: 2 + + # Minimum number of points below which all points will be included in the training. + # If not provided, Denali sets this number to 10. + minimum training size: 10 + + # Datasets to be included in the fit along with specific cuts and + # traning fraction. Each single dataset can implement an arbitrary + # number of cuts determined by the name of the appropriate function + # (e.g. xcut) and the allowed range. + sets: + - {name: "EIC $KA^-$ A1p EIC 18x275", file: "asymunf_18x275_kaonsneg_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.1, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $KA^+$ A1p EIC 18x275", file: "asymunf_18x275_kaonspos_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.1, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $PI^-$ A1p EIC 18x275", file: "asymunf_18x275_pionsneg_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.1, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $PI^+$ A1p EIC 18x275", file: "asymunf_18x275_pionspos_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.1, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "COMPASS KA^- A_1^p", file: "COMPASS_A1P_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^+ A_1^p", file: "COMPASS_A1P_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^- A_1^p", file: "COMPASS_A1P_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^+ A_1^p", file: "COMPASS_A1P_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^- A_1^d", file: "COMPASS_A1D_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^+ A_1^d", file: "COMPASS_A1D_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^- A_1^d", file: "COMPASS_A1D_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^+ A_1^d", file: "COMPASS_A1D_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 KA^- A_1^d", file: "HERMES_2018_A1D_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 KA^+ A_1^d", file: "HERMES_2018_A1D_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^- A_1^d", file: "HERMES_2018_A1D_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^+ A_1^d", file: "HERMES_2018_A1D_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^- A_1^p", file: "HERMES_2018_A1P_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^+ A_1^p", file: "HERMES_2018_A1P_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E142 g_1^N", file: "E142_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E143 g_1^D", file: "E143_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E143 g_1^P", file: "E143_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E154 g_1^N", file: "E154_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E155 g_1^P/F_1^P", file: "E155_G1P_F1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E155 g_1^N/F_1^N", file: "E155_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "EMC g_1^P", file: "EMC_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E06 014 g_1^N/F_1^N", file: "JLAB_E06_014_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E97 103 g_1^N", file: "JLAB_E97_103_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E99 117 g_1^N/F_1^N", file: "JLAB_E99_117_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB EG1 DVCS G_1^D/F_1^D", file: "JLAB_EG1_DVCS_G1D_F1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB EG1 DVCS G_1^P/F_1^P", file: "JLAB_EG1_DVCS_G1P_F1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "SMC g_1^D", file: "SMC_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "SMC g_1^P", file: "SMC_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS g_1^D", file: "COMPASS_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS g_1^P", file: "COMPASS_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^N", file: "HERMES_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^D", file: "HERMES_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^P", file: "HERMES_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} +# - {name: "a3 sum rule", file: "sum_rule_a3.yaml", cuts: [], training fraction: 1} +# - {name: "a8 sum rule", file: "sum_rule_a8.yaml", cuts: [], training fraction: 1} diff --git a/config/Polarized_PDFs_NLO_W2cut_4_EIC_18x275_Z_0-2.yaml b/config/Polarized_PDFs_NLO_W2cut_4_EIC_18x275_Z_0-2.yaml new file mode 100644 index 0000000..0fac8b6 --- /dev/null +++ b/config/Polarized_PDFs_NLO_W2cut_4_EIC_18x275_Z_0-2.yaml @@ -0,0 +1,168 @@ +################################# +# Predictions +################################# +Predictions: + # Perturbative order, 0: LO, 1: NLO 2: NNLO + perturbative order: 1 + + # Initial scale in GeV to be used for the DGLAP evolution of the FFs. + mu0: 1 + + # Quark thresholds + thresholds: [0, 0, 0, 1.51, 4.92] + + # Strong coupling + alphas: + aref: 0.1180 + Qref: 91.1876 + + # APFEL++ grid + xgrid: + - [200, 1e-5, 3] + - [100, 1e-1, 3] + - [80, 8e-1, 3] + + ################### + # Replica settings + ################### + # + # Here you can choose how replicas in the unpolarised PDF and FF + # sets are used in the analysis. + # 0: The central replica (mean value) is chosen for both + # unpolarised PDF and FF sets, overwriting the values + # provided below. + # -1: PDF and FF replicas are chosen randomly, overwriting + # the values provided below. + # 1: The values provided below are used to select a particular + # replica in the set. + # If the fit is performed with unfluctuated data ("./Optimise 0"), option 0 + # is automatically adopted. + Replica settings: -1 + + ############## + # Positivity + ############## + # Here you can select how the positivity constraint is + # implemented. + # false: the positivity bound is imposed with a unpolarised + # PDF replica selected randomly from the set. + # true: the positivity bound is imposed through the central + # replica of the unpolarised PDF set inflated by a + # factor specified in "Multiplicative factor". + Include Std: false + #Multiplicative factor: 5 + + # List of external sets to be used in the analysis. + # name: is the number of the PDF set as provided in + # the LHAPDF list. + # member: replica member to be used in the analysis. + # This key is overwritten if 'Replica settings' + # is either set to 0 or -1. + Sets: + # Unpolarised PDF set + unpolarised pdfset: + name: NNPDF40_nlo_pch_as_01180 + member: -1 #N>=0 for a specific member (0 for central) + + # FF sets + PIplus ffset: + name: MAPFF10NLOPIp + member: -1 + + PIminus ffset: + name: MAPFF10NLOPIm + member: -1 + + KAplus ffset: + name: MAPFF10NLOKAp + member: -1 + + KAminus ffset: + name: MAPFF10NLOKAm + member: -1 + +################################# +# Optimiser +################################# +# Parameters of the optimiser managed by ceres-solver +Optimizer: + max_num_iterations: 3000 + chi2_tolerance: 3 + +################################# +# NNAD +################################# +NNAD: + # Initialisation seed + seed: 0 + + # Flavour map + # Available flavour maps: + # - "separate sbar" (0): sbar, ubar, dbar, g, d, u, s + # - "s=sbar" (1): ubar, dbar, g, u, d, s = sbar. + flavour map: 0 + + # Architecture + # DO NOT MODIFY THE INPUT + # The output must be consistent with the flavour map: + # - "separate sbar" : 7 + # - "s=sbar" : 6 + architecture: [1, 10, 7] + +################################# +# Data +################################# +Data: + # Seed used for the replica generation and the splitting between + # training and validation (do not use a too large number here in + # order to avoid correlation in the replica generation). + seed: 2 + + # Minimum number of points below which all points will be included in the training. + # If not provided, Denali sets this number to 10. + minimum training size: 10 + + # Datasets to be included in the fit along with specific cuts and + # traning fraction. Each single dataset can implement an arbitrary + # number of cuts determined by the name of the appropriate function + # (e.g. xcut) and the allowed range. + sets: + - {name: "EIC $KA^-$ A1p EIC 18x275", file: "asymunf_18x275_kaonsneg_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.2, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $KA^+$ A1p EIC 18x275", file: "asymunf_18x275_kaonspos_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.2, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $PI^-$ A1p EIC 18x275", file: "asymunf_18x275_pionsneg_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.2, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $PI^+$ A1p EIC 18x275", file: "asymunf_18x275_pionspos_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.2, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "COMPASS KA^- A_1^p", file: "COMPASS_A1P_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^+ A_1^p", file: "COMPASS_A1P_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^- A_1^p", file: "COMPASS_A1P_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^+ A_1^p", file: "COMPASS_A1P_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^- A_1^d", file: "COMPASS_A1D_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^+ A_1^d", file: "COMPASS_A1D_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^- A_1^d", file: "COMPASS_A1D_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^+ A_1^d", file: "COMPASS_A1D_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 KA^- A_1^d", file: "HERMES_2018_A1D_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 KA^+ A_1^d", file: "HERMES_2018_A1D_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^- A_1^d", file: "HERMES_2018_A1D_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^+ A_1^d", file: "HERMES_2018_A1D_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^- A_1^p", file: "HERMES_2018_A1P_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^+ A_1^p", file: "HERMES_2018_A1P_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E142 g_1^N", file: "E142_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E143 g_1^D", file: "E143_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E143 g_1^P", file: "E143_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E154 g_1^N", file: "E154_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E155 g_1^P/F_1^P", file: "E155_G1P_F1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E155 g_1^N/F_1^N", file: "E155_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "EMC g_1^P", file: "EMC_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E06 014 g_1^N/F_1^N", file: "JLAB_E06_014_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E97 103 g_1^N", file: "JLAB_E97_103_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E99 117 g_1^N/F_1^N", file: "JLAB_E99_117_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB EG1 DVCS G_1^D/F_1^D", file: "JLAB_EG1_DVCS_G1D_F1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB EG1 DVCS G_1^P/F_1^P", file: "JLAB_EG1_DVCS_G1P_F1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "SMC g_1^D", file: "SMC_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "SMC g_1^P", file: "SMC_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS g_1^D", file: "COMPASS_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS g_1^P", file: "COMPASS_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^N", file: "HERMES_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^D", file: "HERMES_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^P", file: "HERMES_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} +# - {name: "a3 sum rule", file: "sum_rule_a3.yaml", cuts: [], training fraction: 1} +# - {name: "a8 sum rule", file: "sum_rule_a8.yaml", cuts: [], training fraction: 1} diff --git a/config/Polarized_PDFs_NLO_W2cut_4_EIC_5x41_Z_0-1.yaml b/config/Polarized_PDFs_NLO_W2cut_4_EIC_5x41_Z_0-1.yaml new file mode 100644 index 0000000..7112ffd --- /dev/null +++ b/config/Polarized_PDFs_NLO_W2cut_4_EIC_5x41_Z_0-1.yaml @@ -0,0 +1,168 @@ +################################# +# Predictions +################################# +Predictions: + # Perturbative order, 0: LO, 1: NLO 2: NNLO + perturbative order: 1 + + # Initial scale in GeV to be used for the DGLAP evolution of the FFs. + mu0: 1 + + # Quark thresholds + thresholds: [0, 0, 0, 1.51, 4.92] + + # Strong coupling + alphas: + aref: 0.1180 + Qref: 91.1876 + + # APFEL++ grid + xgrid: + - [200, 1e-5, 3] + - [100, 1e-1, 3] + - [80, 8e-1, 3] + + ################### + # Replica settings + ################### + # + # Here you can choose how replicas in the unpolarised PDF and FF + # sets are used in the analysis. + # 0: The central replica (mean value) is chosen for both + # unpolarised PDF and FF sets, overwriting the values + # provided below. + # -1: PDF and FF replicas are chosen randomly, overwriting + # the values provided below. + # 1: The values provided below are used to select a particular + # replica in the set. + # If the fit is performed with unfluctuated data ("./Optimise 0"), option 0 + # is automatically adopted. + Replica settings: -1 + + ############## + # Positivity + ############## + # Here you can select how the positivity constraint is + # implemented. + # false: the positivity bound is imposed with a unpolarised + # PDF replica selected randomly from the set. + # true: the positivity bound is imposed through the central + # replica of the unpolarised PDF set inflated by a + # factor specified in "Multiplicative factor". + Include Std: false + #Multiplicative factor: 5 + + # List of external sets to be used in the analysis. + # name: is the number of the PDF set as provided in + # the LHAPDF list. + # member: replica member to be used in the analysis. + # This key is overwritten if 'Replica settings' + # is either set to 0 or -1. + Sets: + # Unpolarised PDF set + unpolarised pdfset: + name: NNPDF40_nlo_pch_as_01180 + member: -1 #N>=0 for a specific member (0 for central) + + # FF sets + PIplus ffset: + name: MAPFF10NLOPIp + member: -1 + + PIminus ffset: + name: MAPFF10NLOPIm + member: -1 + + KAplus ffset: + name: MAPFF10NLOKAp + member: -1 + + KAminus ffset: + name: MAPFF10NLOKAm + member: -1 + +################################# +# Optimiser +################################# +# Parameters of the optimiser managed by ceres-solver +Optimizer: + max_num_iterations: 3000 + chi2_tolerance: 3 + +################################# +# NNAD +################################# +NNAD: + # Initialisation seed + seed: 0 + + # Flavour map + # Available flavour maps: + # - "separate sbar" (0): sbar, ubar, dbar, g, d, u, s + # - "s=sbar" (1): ubar, dbar, g, u, d, s = sbar. + flavour map: 0 + + # Architecture + # DO NOT MODIFY THE INPUT + # The output must be consistent with the flavour map: + # - "separate sbar" : 7 + # - "s=sbar" : 6 + architecture: [1, 10, 7] + +################################# +# Data +################################# +Data: + # Seed used for the replica generation and the splitting between + # training and validation (do not use a too large number here in + # order to avoid correlation in the replica generation). + seed: 2 + + # Minimum number of points below which all points will be included in the training. + # If not provided, Denali sets this number to 10. + minimum training size: 10 + + # Datasets to be included in the fit along with specific cuts and + # traning fraction. Each single dataset can implement an arbitrary + # number of cuts determined by the name of the appropriate function + # (e.g. xcut) and the allowed range. + sets: + - {name: "EIC $KA^-$ A1p EIC 5x41", file: "asymunf_5_41_kaonsneg_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.1, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $KA^+$ A1p EIC 5x41", file: "asymunf_5_41_kaonspos_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.1, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $Pi^-$ A1p EIC 5x41", file: "asymunf_5x41_pionsneg_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.1, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $Pi^+$ A1p EIC 5x41", file: "asymunf_5x41_pionspos_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.1, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "COMPASS KA^- A_1^p", file: "COMPASS_A1P_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^+ A_1^p", file: "COMPASS_A1P_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^- A_1^p", file: "COMPASS_A1P_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^+ A_1^p", file: "COMPASS_A1P_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^- A_1^d", file: "COMPASS_A1D_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^+ A_1^d", file: "COMPASS_A1D_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^- A_1^d", file: "COMPASS_A1D_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^+ A_1^d", file: "COMPASS_A1D_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 KA^- A_1^d", file: "HERMES_2018_A1D_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 KA^+ A_1^d", file: "HERMES_2018_A1D_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^- A_1^d", file: "HERMES_2018_A1D_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^+ A_1^d", file: "HERMES_2018_A1D_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^- A_1^p", file: "HERMES_2018_A1P_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^+ A_1^p", file: "HERMES_2018_A1P_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E142 g_1^N", file: "E142_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E143 g_1^D", file: "E143_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E143 g_1^P", file: "E143_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E154 g_1^N", file: "E154_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E155 g_1^P/F_1^P", file: "E155_G1P_F1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E155 g_1^N/F_1^N", file: "E155_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "EMC g_1^P", file: "EMC_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E06 014 g_1^N/F_1^N", file: "JLAB_E06_014_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E97 103 g_1^N", file: "JLAB_E97_103_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E99 117 g_1^N/F_1^N", file: "JLAB_E99_117_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB EG1 DVCS G_1^D/F_1^D", file: "JLAB_EG1_DVCS_G1D_F1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB EG1 DVCS G_1^P/F_1^P", file: "JLAB_EG1_DVCS_G1P_F1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "SMC g_1^D", file: "SMC_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "SMC g_1^P", file: "SMC_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS g_1^D", file: "COMPASS_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS g_1^P", file: "COMPASS_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^N", file: "HERMES_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^D", file: "HERMES_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^P", file: "HERMES_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} +# - {name: "a3 sum rule", file: "sum_rule_a3.yaml", cuts: [], training fraction: 1} +# - {name: "a8 sum rule", file: "sum_rule_a8.yaml", cuts: [], training fraction: 1} diff --git a/config/Polarized_PDFs_NLO_W2cut_4_EIC_5x41_Z_0-2.yaml b/config/Polarized_PDFs_NLO_W2cut_4_EIC_5x41_Z_0-2.yaml new file mode 100644 index 0000000..1e261ea --- /dev/null +++ b/config/Polarized_PDFs_NLO_W2cut_4_EIC_5x41_Z_0-2.yaml @@ -0,0 +1,168 @@ +################################# +# Predictions +################################# +Predictions: + # Perturbative order, 0: LO, 1: NLO 2: NNLO + perturbative order: 1 + + # Initial scale in GeV to be used for the DGLAP evolution of the FFs. + mu0: 1 + + # Quark thresholds + thresholds: [0, 0, 0, 1.51, 4.92] + + # Strong coupling + alphas: + aref: 0.1180 + Qref: 91.1876 + + # APFEL++ grid + xgrid: + - [200, 1e-5, 3] + - [100, 1e-1, 3] + - [80, 8e-1, 3] + + ################### + # Replica settings + ################### + # + # Here you can choose how replicas in the unpolarised PDF and FF + # sets are used in the analysis. + # 0: The central replica (mean value) is chosen for both + # unpolarised PDF and FF sets, overwriting the values + # provided below. + # -1: PDF and FF replicas are chosen randomly, overwriting + # the values provided below. + # 1: The values provided below are used to select a particular + # replica in the set. + # If the fit is performed with unfluctuated data ("./Optimise 0"), option 0 + # is automatically adopted. + Replica settings: -1 + + ############## + # Positivity + ############## + # Here you can select how the positivity constraint is + # implemented. + # false: the positivity bound is imposed with a unpolarised + # PDF replica selected randomly from the set. + # true: the positivity bound is imposed through the central + # replica of the unpolarised PDF set inflated by a + # factor specified in "Multiplicative factor". + Include Std: false + #Multiplicative factor: 5 + + # List of external sets to be used in the analysis. + # name: is the number of the PDF set as provided in + # the LHAPDF list. + # member: replica member to be used in the analysis. + # This key is overwritten if 'Replica settings' + # is either set to 0 or -1. + Sets: + # Unpolarised PDF set + unpolarised pdfset: + name: NNPDF40_nlo_pch_as_01180 + member: -1 #N>=0 for a specific member (0 for central) + + # FF sets + PIplus ffset: + name: MAPFF10NLOPIp + member: -1 + + PIminus ffset: + name: MAPFF10NLOPIm + member: -1 + + KAplus ffset: + name: MAPFF10NLOKAp + member: -1 + + KAminus ffset: + name: MAPFF10NLOKAm + member: -1 + +################################# +# Optimiser +################################# +# Parameters of the optimiser managed by ceres-solver +Optimizer: + max_num_iterations: 3000 + chi2_tolerance: 3 + +################################# +# NNAD +################################# +NNAD: + # Initialisation seed + seed: 0 + + # Flavour map + # Available flavour maps: + # - "separate sbar" (0): sbar, ubar, dbar, g, d, u, s + # - "s=sbar" (1): ubar, dbar, g, u, d, s = sbar. + flavour map: 0 + + # Architecture + # DO NOT MODIFY THE INPUT + # The output must be consistent with the flavour map: + # - "separate sbar" : 7 + # - "s=sbar" : 6 + architecture: [1, 10, 7] + +################################# +# Data +################################# +Data: + # Seed used for the replica generation and the splitting between + # training and validation (do not use a too large number here in + # order to avoid correlation in the replica generation). + seed: 2 + + # Minimum number of points below which all points will be included in the training. + # If not provided, Denali sets this number to 10. + minimum training size: 10 + + # Datasets to be included in the fit along with specific cuts and + # traning fraction. Each single dataset can implement an arbitrary + # number of cuts determined by the name of the appropriate function + # (e.g. xcut) and the allowed range. + sets: + - {name: "EIC $KA^-$ A1p EIC 5x41", file: "asymunf_5_41_kaonsneg_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.2, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $KA^+$ A1p EIC 5x41", file: "asymunf_5_41_kaonspos_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.2, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $Pi^-$ A1p EIC 5x41", file: "asymunf_5x41_pionsneg_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.2, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "EIC $Pi^+$ A1p EIC 5x41", file: "asymunf_5x41_pionspos_after_smear.yaml", cuts: [{name: Qcut, min: 1, max: 100}, {name: zcut, min: 0.2, max: 0.99}, {name: xcut, min: 0.00001, max: 0.99}], training fraction: 0.8} + - {name: "COMPASS KA^- A_1^p", file: "COMPASS_A1P_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^+ A_1^p", file: "COMPASS_A1P_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^- A_1^p", file: "COMPASS_A1P_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^+ A_1^p", file: "COMPASS_A1P_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^- A_1^d", file: "COMPASS_A1D_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS KA^+ A_1^d", file: "COMPASS_A1D_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^- A_1^d", file: "COMPASS_A1D_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS PI^+ A_1^d", file: "COMPASS_A1D_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 KA^- A_1^d", file: "HERMES_2018_A1D_KA_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 KA^+ A_1^d", file: "HERMES_2018_A1D_KA_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^- A_1^d", file: "HERMES_2018_A1D_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^+ A_1^d", file: "HERMES_2018_A1D_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^- A_1^p", file: "HERMES_2018_A1P_PI_MINUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES 2018 PI^+ A_1^p", file: "HERMES_2018_A1P_PI_PLUS.yaml", cuts: [{name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E142 g_1^N", file: "E142_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E143 g_1^D", file: "E143_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E143 g_1^P", file: "E143_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E154 g_1^N", file: "E154_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E155 g_1^P/F_1^P", file: "E155_G1P_F1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "E155 g_1^N/F_1^N", file: "E155_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "EMC g_1^P", file: "EMC_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E06 014 g_1^N/F_1^N", file: "JLAB_E06_014_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E97 103 g_1^N", file: "JLAB_E97_103_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB E99 117 g_1^N/F_1^N", file: "JLAB_E99_117_G1N_F1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB EG1 DVCS G_1^D/F_1^D", file: "JLAB_EG1_DVCS_G1D_F1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "JLAB EG1 DVCS G_1^P/F_1^P", file: "JLAB_EG1_DVCS_G1P_F1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "SMC g_1^D", file: "SMC_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "SMC g_1^P", file: "SMC_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS g_1^D", file: "COMPASS_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "COMPASS g_1^P", file: "COMPASS_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^N", file: "HERMES_G1N.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^D", file: "HERMES_G1D.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} + - {name: "HERMES g_1^P", file: "HERMES_G1P.yaml", cuts: [{name: Wcut, min: 2.0, max: 100}, {name: Qcut, min: 1, max: 100}], training fraction: 0.8} +# - {name: "a3 sum rule", file: "sum_rule_a3.yaml", cuts: [], training fraction: 1} +# - {name: "a8 sum rule", file: "sum_rule_a8.yaml", cuts: [], training fraction: 1} From 81f6ec8c51ef9c8f066d06754adadb472c2c273f Mon Sep 17 00:00:00 2001 From: Hamzeh Khanpour <58598278+hamzeh-khanpour@users.noreply.github.com> Date: Wed, 3 Jun 2026 04:24:48 -0400 Subject: [PATCH 2/2] Add HAPS EIC SIDIS pseudodata files --- data/asymunf_18x275_kaonsneg_after_smear.yaml | 4280 ++++++++++++++ data/asymunf_18x275_kaonspos_after_smear.yaml | 4488 ++++++++++++++ data/asymunf_18x275_pionsneg_after_smear.yaml | 5192 ++++++++++++++++ data/asymunf_18x275_pionspos_after_smear.yaml | 5200 +++++++++++++++++ data/asymunf_5_41_kaonsneg_after_smear.yaml | 4256 ++++++++++++++ data/asymunf_5_41_kaonspos_after_smear.yaml | 4600 +++++++++++++++ data/asymunf_5x41_pionsneg_after_smear.yaml | 4960 ++++++++++++++++ data/asymunf_5x41_pionspos_after_smear.yaml | 4987 ++++++++++++++++ 8 files changed, 37963 insertions(+) create mode 100644 data/asymunf_18x275_kaonsneg_after_smear.yaml create mode 100644 data/asymunf_18x275_kaonspos_after_smear.yaml create mode 100644 data/asymunf_18x275_pionsneg_after_smear.yaml create mode 100644 data/asymunf_18x275_pionspos_after_smear.yaml create mode 100644 data/asymunf_5_41_kaonsneg_after_smear.yaml create mode 100644 data/asymunf_5_41_kaonspos_after_smear.yaml create mode 100644 data/asymunf_5x41_pionsneg_after_smear.yaml create mode 100644 data/asymunf_5x41_pionspos_after_smear.yaml diff --git a/data/asymunf_18x275_kaonsneg_after_smear.yaml b/data/asymunf_18x275_kaonsneg_after_smear.yaml new file mode 100644 index 0000000..7c9f568 --- /dev/null +++ b/data/asymunf_18x275_kaonsneg_after_smear.yaml @@ -0,0 +1,4280 @@ +dependent_variables: +- header: {title: "EIC $KA^-$ A1p EIC 18x275"} + qualifiers: + - {name: process, value: pSIDIS} + - {name: observable, value: A1H} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 140.712472795, units: GeV} + - {name: Q, low: 1.0, high: 45.0, integrate: false} + - {name: x, low: 0.00005, high: 0.5, integrate: false} + - {name: z, low: 0.02, high: 0.95, integrate: true} + - {name: PS_reduction, ymin: 0.01, ymax: 0.95, W: 0} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.001622} + - {label: add, value: 0.02} + value: -0.071174 + - errors: + - {label: unc, value: 0.003041} + - {label: add, value: 0.02} + value: -0.079908 + - errors: + - {label: unc, value: 0.032592} + - {label: add, value: 0.02} + value: -0.099343 + - errors: + - {label: unc, value: 0.007722} + - {label: add, value: 0.02} + value: -0.081438 + - errors: + - {label: unc, value: 0.003954} + - {label: add, value: 0.02} + value: -0.055937 + - errors: + - {label: unc, value: 0.004374} + - {label: add, value: 0.02} + value: -0.063279 + - errors: + - {label: unc, value: 0.000765} + - {label: add, value: 0.02} + value: -0.051724 + - errors: + - {label: unc, value: 0.001361} + - {label: add, value: 0.02} + value: -0.022449 + - errors: + - {label: unc, value: 0.006844} + - {label: add, value: 0.02} + value: -0.049580 + - errors: + - {label: unc, value: 0.006932} + - {label: add, value: 0.02} + value: -0.038262 + - errors: + - {label: unc, value: 0.003263} + - {label: add, value: 0.02} + value: -0.012087 + - errors: + - {label: unc, value: 0.007087} + - {label: add, value: 0.02} + value: -0.005064 + - errors: + - {label: unc, value: 0.014741} + - {label: add, value: 0.02} + value: -0.049354 + - errors: + - {label: unc, value: 0.009336} + - {label: add, value: 0.02} + value: -0.016780 + - errors: + - {label: unc, value: 0.003378} + - {label: add, value: 0.02} + value: -0.010095 + - errors: + - {label: unc, value: 0.007562} + - {label: add, value: 0.02} + value: -0.000364 + - errors: + - {label: unc, value: 0.020635} + - {label: add, value: 0.02} + value: -0.008160 + - errors: + - {label: unc, value: 0.004780} + - {label: add, value: 0.02} + value: -0.022060 + - errors: + - {label: unc, value: 0.002997} + - {label: add, value: 0.02} + value: -0.003802 + - errors: + - {label: unc, value: 0.008875} + - {label: add, value: 0.02} + value: -0.001383 + - errors: + - {label: unc, value: 0.001713} + - {label: add, value: 0.02} + value: 0.002050 + - errors: + - {label: unc, value: 0.016458} + - {label: add, value: 0.02} + value: -0.006570 + - errors: + - {label: unc, value: 0.005137} + - {label: add, value: 0.02} + value: -0.000169 + - errors: + - {label: unc, value: 0.003731} + - {label: add, value: 0.02} + value: 0.001451 + - errors: + - {label: unc, value: 0.009204} + - {label: add, value: 0.02} + value: 0.003521 + - errors: + - {label: unc, value: 0.028994} + - {label: add, value: 0.02} + value: 0.025079 + - errors: + - {label: unc, value: 0.012840} + - {label: add, value: 0.02} + value: -0.001862 + - errors: + - {label: unc, value: 0.004582} + - {label: add, value: 0.02} + value: 0.000271 + - errors: + - {label: unc, value: 0.004746} + - {label: add, value: 0.02} + value: 0.003005 + - errors: + - {label: unc, value: 0.007678} + - {label: add, value: 0.02} + value: 0.016957 + - errors: + - {label: unc, value: 0.013309} + - {label: add, value: 0.02} + value: 0.004813 + - errors: + - {label: unc, value: 0.010634} + - {label: add, value: 0.02} + value: 0.006803 + - errors: + - {label: unc, value: 0.004824} + - {label: add, value: 0.02} + value: 0.011664 + - errors: + - {label: unc, value: 0.004289} + - {label: add, value: 0.02} + value: 0.003388 + - errors: + - {label: unc, value: 0.023739} + - {label: add, value: 0.02} + value: 0.005540 + - errors: + - {label: unc, value: 0.009319} + - {label: add, value: 0.02} + value: 0.010854 + - errors: + - {label: unc, value: 0.045132} + - {label: add, value: 0.02} + value: 0.041958 + - errors: + - {label: unc, value: 0.009890} + - {label: add, value: 0.02} + value: 0.015391 + - errors: + - {label: unc, value: 0.007419} + - {label: add, value: 0.02} + value: 0.003158 + - errors: + - {label: unc, value: 0.010506} + - {label: add, value: 0.02} + value: 0.005860 + - errors: + - {label: unc, value: 0.034268} + - {label: add, value: 0.02} + value: 0.011815 + - errors: + - {label: unc, value: 0.038710} + - {label: add, value: 0.02} + value: 0.029073 + - errors: + - {label: unc, value: 0.011047} + - {label: add, value: 0.02} + value: 0.000458 + - errors: + - {label: unc, value: 0.024646} + - {label: add, value: 0.02} + value: 0.027698 + - errors: + - {label: unc, value: 0.009372} + - {label: add, value: 0.02} + value: 0.017655 + - errors: + - {label: unc, value: 0.036127} + - {label: add, value: 0.02} + value: 0.051493 + - errors: + - {label: unc, value: 0.023556} + - {label: add, value: 0.02} + value: 0.002782 + - errors: + - {label: unc, value: 0.040029} + - {label: add, value: 0.02} + value: 0.020514 + - errors: + - {label: unc, value: 0.036754} + - {label: add, value: 0.02} + value: 0.071095 + - errors: + - {label: unc, value: 0.040426} + - {label: add, value: 0.02} + value: 0.027784 + - errors: + - {label: unc, value: 0.070074} + - {label: add, value: 0.02} + value: 0.035522 + - errors: + - {label: unc, value: 0.211324} + - {label: add, value: 0.02} + value: 0.077601 + - errors: + - {label: unc, value: 0.037350} + - {label: add, value: 0.02} + value: -0.379182 + - errors: + - {label: unc, value: 0.000964} + - {label: add, value: 0.02} + value: -2.079222 + - errors: + - {label: unc, value: 0.049338} + - {label: add, value: 0.02} + value: 0.098012 + - errors: + - {label: unc, value: 0.001487} + - {label: add, value: 0.02} + value: 1.292270 + - errors: + - {label: unc, value: 0.005778} + - {label: add, value: 0.02} + value: 0.098488 + - errors: + - {label: unc, value: 0.007838} + - {label: add, value: 0.02} + value: 0.484415 + - errors: + - {label: unc, value: 0.010509} + - {label: add, value: 0.02} + value: 0.052284 + - errors: + - {label: unc, value: 0.002174} + - {label: add, value: 0.02} + value: 0.019660 + - errors: + - {label: unc, value: 0.005115} + - {label: add, value: 0.02} + value: 0.300376 + - errors: + - {label: unc, value: 0.002954} + - {label: add, value: 0.02} + value: 0.063136 + - errors: + - {label: unc, value: 0.001168} + - {label: add, value: 0.02} + value: 0.021484 + - errors: + - {label: unc, value: 0.028303} + - {label: add, value: 0.02} + value: 0.033855 + - errors: + - {label: unc, value: 0.010769} + - {label: add, value: 0.02} + value: 0.254775 + - errors: + - {label: unc, value: 0.009307} + - {label: add, value: 0.02} + value: 0.062040 + - errors: + - {label: unc, value: 0.007355} + - {label: add, value: 0.02} + value: 0.015549 + - errors: + - {label: unc, value: 0.004246} + - {label: add, value: 0.02} + value: 0.016473 + - errors: + - {label: unc, value: 0.020130} + - {label: add, value: 0.02} + value: 0.012313 + - errors: + - {label: unc, value: 0.013862} + - {label: add, value: 0.02} + value: 0.041884 + - errors: + - {label: unc, value: 0.006229} + - {label: add, value: 0.02} + value: 0.016630 + - errors: + - {label: unc, value: 0.006065} + - {label: add, value: 0.02} + value: 0.002768 + - errors: + - {label: unc, value: 0.013619} + - {label: add, value: 0.02} + value: 0.058483 + - errors: + - {label: unc, value: 0.008111} + - {label: add, value: 0.02} + value: 0.026611 + - errors: + - {label: unc, value: 0.008275} + - {label: add, value: 0.02} + value: 0.009438 + - errors: + - {label: unc, value: 0.003331} + - {label: add, value: 0.02} + value: 0.012142 + - errors: + - {label: unc, value: 0.020482} + - {label: add, value: 0.02} + value: 0.018727 + - errors: + - {label: unc, value: 0.016993} + - {label: add, value: 0.02} + value: 0.002276 + - errors: + - {label: unc, value: 0.014729} + - {label: add, value: 0.02} + value: 0.014869 + - errors: + - {label: unc, value: 0.003416} + - {label: add, value: 0.02} + value: 0.010396 + - errors: + - {label: unc, value: 0.007268} + - {label: add, value: 0.02} + value: 0.002842 + - errors: + - {label: unc, value: 0.050868} + - {label: add, value: 0.02} + value: 0.003733 + - errors: + - {label: unc, value: 0.011951} + - {label: add, value: 0.02} + value: 0.024985 + - errors: + - {label: unc, value: 0.005703} + - {label: add, value: 0.02} + value: 0.006018 + - errors: + - {label: unc, value: 0.018299} + - {label: add, value: 0.02} + value: 0.028807 + - errors: + - {label: unc, value: 0.007108} + - {label: add, value: 0.02} + value: 0.000971 + - errors: + - {label: unc, value: 0.021687} + - {label: add, value: 0.02} + value: 0.017726 + - errors: + - {label: unc, value: 0.051427} + - {label: add, value: 0.02} + value: 0.055439 + - errors: + - {label: unc, value: 0.012566} + - {label: add, value: 0.02} + value: 0.015827 + - errors: + - {label: unc, value: 0.019173} + - {label: add, value: 0.02} + value: 0.006805 + - errors: + - {label: unc, value: 0.004482} + - {label: add, value: 0.02} + value: 0.009505 + - errors: + - {label: unc, value: 0.015235} + - {label: add, value: 0.02} + value: 0.001597 + - errors: + - {label: unc, value: 0.045699} + - {label: add, value: 0.02} + value: 0.045264 + - errors: + - {label: unc, value: 0.013057} + - {label: add, value: 0.02} + value: 0.026977 + - errors: + - {label: unc, value: 0.011496} + - {label: add, value: 0.02} + value: 0.017521 + - errors: + - {label: unc, value: 0.021096} + - {label: add, value: 0.02} + value: 0.040480 + - errors: + - {label: unc, value: 0.050492} + - {label: add, value: 0.02} + value: 0.023626 + - errors: + - {label: unc, value: 0.025068} + - {label: add, value: 0.02} + value: 0.043277 + - errors: + - {label: unc, value: 0.022447} + - {label: add, value: 0.02} + value: 0.010484 + - errors: + - {label: unc, value: 0.039532} + - {label: add, value: 0.02} + value: 0.051504 + - errors: + - {label: unc, value: 0.055412} + - {label: add, value: 0.02} + value: 0.019406 + - errors: + - {label: unc, value: 0.051400} + - {label: add, value: 0.02} + value: 0.119225 + - errors: + - {label: unc, value: 0.180185} + - {label: add, value: 0.02} + value: 0.227548 + - errors: + - {label: unc, value: 0.023289} + - {label: add, value: 0.02} + value: 0.249204 + - errors: + - {label: unc, value: 0.009367} + - {label: add, value: 0.02} + value: 0.093260 + - errors: + - {label: unc, value: 0.006140} + - {label: add, value: 0.02} + value: 0.082732 + - errors: + - {label: unc, value: 0.003892} + - {label: add, value: 0.02} + value: 0.025737 + - errors: + - {label: unc, value: 0.011556} + - {label: add, value: 0.02} + value: 0.055790 + - errors: + - {label: unc, value: 0.002616} + - {label: add, value: 0.02} + value: 0.010366 + - errors: + - {label: unc, value: 0.009907} + - {label: add, value: 0.02} + value: 0.043746 + - errors: + - {label: unc, value: 0.004789} + - {label: add, value: 0.02} + value: 0.024383 + - errors: + - {label: unc, value: 0.014567} + - {label: add, value: 0.02} + value: 0.011862 + - errors: + - {label: unc, value: 0.029206} + - {label: add, value: 0.02} + value: 0.034830 + - errors: + - {label: unc, value: 0.014594} + - {label: add, value: 0.02} + value: 0.058726 + - errors: + - {label: unc, value: 0.013915} + - {label: add, value: 0.02} + value: 0.002048 + - 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{high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} diff --git a/data/asymunf_18x275_kaonspos_after_smear.yaml b/data/asymunf_18x275_kaonspos_after_smear.yaml new file mode 100644 index 0000000..54e1139 --- /dev/null +++ b/data/asymunf_18x275_kaonspos_after_smear.yaml @@ -0,0 +1,4488 @@ +dependent_variables: +- header: {title: "EIC $KA^+$ A1p EIC 18x275"} + qualifiers: + - {name: process, value: pSIDIS} + - {name: observable, value: A1H} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 140.712472795, units: GeV} + - {name: Q, low: 1.0, high: 44.0, integrate: false} + - {name: x, low: 0.00005, high: 0.5, integrate: false} + - {name: z, low: 0.02, high: 0.95, integrate: true} + - {name: PS_reduction, ymin: 0.01, ymax: 0.95, W: 0} + - {name: hadron, value: KA} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.009268} + - {label: add, value: 0.02} + value: -0.034546 + - errors: + - {label: unc, value: 0.001576} + - {label: add, value: 0.02} + value: -0.039098 + - errors: + - {label: unc, value: 0.034907} + - {label: add, value: 0.02} + value: -0.076246 + - errors: + - {label: unc, value: 0.000797} + - {label: add, value: 0.02} + value: -0.031718 + - errors: + - {label: unc, value: 0.002238} + - {label: add, value: 0.02} + value: -0.034814 + - errors: + - {label: unc, value: 0.001369} + - {label: add, value: 0.02} + value: -0.027948 + - errors: + - {label: unc, value: 0.001168} + - {label: add, value: 0.02} + value: -0.037265 + - errors: + - {label: unc, value: 0.002838} + - {label: add, value: 0.02} + value: -0.012795 + - errors: + - {label: unc, value: 0.003804} + - {label: add, value: 0.02} + value: -0.026735 + - errors: + - {label: unc, value: 0.007094} + - {label: add, value: 0.02} + value: -0.029436 + - errors: + - {label: unc, value: 0.010275} + - {label: add, value: 0.02} + value: -0.024217 + - errors: + - {label: unc, value: 0.015972} + - {label: add, value: 0.02} + value: -0.041641 + - errors: + - {label: unc, value: 0.014760} + - {label: add, value: 0.02} + value: -0.019090 + - errors: + - {label: unc, value: 0.002226} + - {label: add, value: 0.02} + value: -0.029601 + - errors: + - {label: unc, value: 0.001272} + - {label: add, value: 0.02} + value: -0.009462 + - errors: + - {label: unc, value: 0.002407} + - {label: add, value: 0.02} + value: -0.006662 + - errors: + - {label: unc, value: 0.047051} + - {label: add, value: 0.02} + value: -0.069740 + - errors: + - {label: unc, value: 0.007047} + - {label: add, value: 0.02} + value: -0.016016 + - errors: + - {label: unc, value: 0.004025} + - {label: add, value: 0.02} + value: -0.004324 + - errors: + - {label: unc, value: 0.003060} + - {label: add, value: 0.02} + value: -0.005234 + - errors: + - {label: unc, value: 0.007358} + - {label: add, value: 0.02} + value: -0.011098 + - errors: + - {label: unc, value: 0.009682} + - {label: add, value: 0.02} + value: -0.010674 + - errors: + - {label: unc, value: 0.007700} + - {label: add, value: 0.02} + value: -0.007020 + - errors: + - {label: unc, value: 0.012222} + - {label: add, value: 0.02} + value: -0.003501 + - errors: + - {label: unc, value: 0.003763} + - {label: add, value: 0.02} + value: -0.004696 + - errors: + - {label: unc, value: 0.005717} + - {label: add, value: 0.02} + value: 0.011502 + - errors: + - {label: unc, value: 0.009297} + - {label: add, value: 0.02} + value: 0.000885 + - errors: + - {label: unc, value: 0.005298} + - {label: add, value: 0.02} + value: 0.001346 + - errors: + - {label: unc, value: 0.011947} + - {label: add, value: 0.02} + value: 0.024742 + - errors: + - {label: unc, value: 0.012453} + - {label: add, value: 0.02} + value: 0.008471 + - errors: + - {label: unc, value: 0.023186} + - {label: add, value: 0.02} + value: 0.034898 + - errors: + - {label: unc, value: 0.009218} + - {label: add, value: 0.02} + value: 0.017235 + - errors: + - {label: unc, value: 0.004339} + - {label: add, value: 0.02} + value: 0.001827 + - errors: + - {label: unc, value: 0.002839} + - {label: add, value: 0.02} + value: 0.005813 + - errors: + - {label: unc, value: 0.009356} + - {label: add, value: 0.02} + value: 0.009075 + - errors: + - {label: unc, value: 0.048588} + - {label: add, value: 0.02} + value: 0.000964 + - errors: + - {label: unc, value: 0.040472} + - {label: add, value: 0.02} + value: 0.066831 + - errors: + - {label: unc, value: 0.008577} + - {label: add, value: 0.02} + value: 0.013043 + - errors: + - {label: unc, value: 0.021064} + - {label: add, value: 0.02} + value: 0.034997 + - errors: + - {label: unc, value: 0.018583} + - {label: add, value: 0.02} + value: 0.030969 + - errors: + - {label: unc, value: 0.039448} + - {label: add, value: 0.02} + value: 0.034759 + - errors: + - {label: unc, value: 0.034136} + - {label: add, value: 0.02} + value: 0.019509 + - errors: + - {label: unc, value: 0.010428} + - {label: add, value: 0.02} + value: 0.037676 + - errors: + - {label: unc, value: 0.006509} + - {label: add, value: 0.02} + value: 0.009692 + - errors: + - {label: unc, value: 0.032662} + - {label: add, value: 0.02} + value: 0.047196 + - errors: + - {label: unc, value: 0.035720} + - {label: add, value: 0.02} + value: 0.044167 + - errors: + - {label: unc, value: 0.033445} + - {label: add, value: 0.02} + value: 0.011606 + - errors: + - {label: unc, value: 0.027045} + - {label: add, value: 0.02} + value: 0.037152 + - errors: + - {label: unc, value: 0.034020} + - {label: add, value: 0.02} + value: 0.047126 + - errors: + - {label: unc, value: 0.061040} + - {label: add, value: 0.02} + value: 0.034733 + - errors: + - {label: unc, value: 0.070024} + - {label: add, value: 0.02} + value: 0.008562 + - errors: + - {label: unc, value: 0.239255} + - {label: add, value: 0.02} + value: 0.197378 + - errors: + - {label: unc, value: 0.005642} + - {label: add, value: 0.02} + value: 0.606776 + - errors: + - {label: unc, value: 0.005352} + - {label: add, value: 0.02} + value: 1.474767 + - 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{high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} diff --git a/data/asymunf_18x275_pionsneg_after_smear.yaml b/data/asymunf_18x275_pionsneg_after_smear.yaml new file mode 100644 index 0000000..325c826 --- /dev/null +++ b/data/asymunf_18x275_pionsneg_after_smear.yaml @@ -0,0 +1,5192 @@ +dependent_variables: +- header: {title: "EIC $PI^-$ A1p EIC 18x275"} + qualifiers: + - {name: process, value: pSIDIS} + - {name: observable, value: A1H} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 140.712472795, units: GeV} + - {name: Q, low: 1.0, high: 45.0, integrate: false} + - {name: x, low: 0.00005, high: 0.5, integrate: false} + - {name: z, low: 0.02, high: 0.95, integrate: true} + - {name: PS_reduction, ymin: 0.01, ymax: 0.95, W: 0} + - {name: hadron, value: PI} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.009405} + - {label: add, value: 0.02} + value: 0.086139 + - errors: + - {label: unc, value: 0.000462} + - {label: add, value: 0.02} + value: 0.096579 + - errors: + - {label: unc, value: 0.039078} + - {label: add, value: 0.02} + value: 0.072469 + - errors: + - {label: unc, value: 0.000298} + - {label: add, value: 0.02} + value: 0.089730 + - errors: + - {label: unc, value: 0.000519} + - {label: add, value: 0.02} + value: 0.074437 + - errors: + - {label: unc, value: 0.002940} + - {label: add, value: 0.02} + value: 0.087913 + - errors: + - {label: unc, value: 0.000517} + - {label: add, value: 0.02} + value: 0.071355 + - errors: + - {label: unc, value: 0.009097} + - {label: add, value: 0.02} + value: 0.090800 + - errors: + - {label: unc, value: 0.002350} + - {label: add, value: 0.02} + value: 0.077805 + - errors: + - {label: unc, value: 0.001745} + - {label: add, value: 0.02} + value: 0.070377 + - errors: + - {label: unc, value: 0.000351} + - {label: add, value: 0.02} + value: 0.099104 + - errors: + - {label: unc, value: 0.005025} + - {label: add, value: 0.02} + value: -0.856541 + - errors: + - {label: unc, value: 0.004133} + - {label: add, value: 0.02} + value: 0.083282 + - errors: + - {label: unc, value: 0.002663} + - {label: add, value: 0.02} + value: 0.070144 + - errors: + - {label: unc, value: 0.000847} + - {label: add, value: 0.02} + value: 0.099729 + - errors: + - {label: unc, value: 0.000365} + - {label: add, value: 0.02} + value: -0.179915 + - errors: + - {label: unc, value: 0.023232} + - {label: add, value: 0.02} + value: -0.029363 + - errors: + - {label: unc, value: 0.001812} + - {label: add, value: 0.02} + value: 0.068913 + - errors: + - {label: unc, value: 0.002248} + - {label: add, value: 0.02} + value: 0.098597 + - errors: + - {label: unc, value: 0.000981} + - {label: add, value: 0.02} + value: -0.267198 + - errors: + - {label: unc, value: 0.002147} + - {label: add, value: 0.02} + value: -0.034214 + - errors: + - {label: unc, value: 0.032128} + - {label: add, value: 0.02} + value: -0.061002 + - errors: + - {label: unc, value: 0.003997} + - {label: add, value: 0.02} + value: 0.077275 + - errors: + - {label: unc, value: 0.002153} + - {label: add, value: 0.02} + value: 0.107757 + - errors: + - {label: unc, value: 0.003430} + - {label: add, value: 0.02} + value: -0.043996 + - errors: + - {label: unc, value: 0.010189} + - {label: add, value: 0.02} + value: -0.022021 + - errors: + - {label: unc, value: 0.004036} + - {label: add, value: 0.02} + value: 0.118365 + - errors: + - {label: unc, value: 0.001536} + - {label: add, value: 0.02} + value: -0.354811 + - errors: + - {label: unc, value: 0.001487} + - {label: add, value: 0.02} + value: -0.018033 + - errors: + - {label: unc, value: 0.020719} + - {label: add, value: 0.02} + value: -0.027607 + - errors: + - {label: unc, value: 0.003732} + - {label: add, value: 0.02} + value: -0.299884 + - errors: + - {label: unc, value: 0.005525} + - {label: add, value: 0.02} + value: -0.027196 + - errors: + - {label: unc, value: 0.019155} + - {label: add, value: 0.02} + value: -0.027122 + - errors: + - {label: unc, value: 0.005833} + - {label: add, value: 0.02} + value: -0.002964 + - errors: + - {label: unc, value: 0.015506} + - {label: add, value: 0.02} + value: -0.300956 + - errors: + - {label: unc, value: 0.003797} + - {label: add, value: 0.02} + value: -0.044878 + - errors: + - {label: unc, value: 0.004349} + - {label: add, value: 0.02} + value: -0.019852 + - errors: + - {label: unc, value: 0.002160} + - {label: add, value: 0.02} + value: -0.010859 + - errors: + - {label: unc, value: 0.009302} + - {label: add, value: 0.02} + value: -0.018523 + - errors: + - {label: unc, value: 0.015177} + - {label: add, value: 0.02} + value: -0.056146 + - errors: + - {label: unc, value: 0.003680} + - {label: add, value: 0.02} + value: -0.029689 + - errors: + - {label: unc, value: 0.002292} + - {label: add, value: 0.02} + value: -0.010531 + - errors: + - {label: unc, value: 0.012838} + - {label: add, value: 0.02} + value: -0.031037 + - errors: + - {label: unc, value: 0.012258} + - {label: add, value: 0.02} + value: -0.002871 + - errors: + - {label: unc, value: 0.006989} + - {label: add, value: 0.02} + value: -0.014191 + - errors: + - {label: unc, value: 0.019154} + - {label: add, value: 0.02} + value: -0.016063 + - errors: + - {label: unc, value: 0.020365} + - {label: add, value: 0.02} + value: -0.045139 + - errors: + - {label: unc, value: 0.041238} + - {label: add, value: 0.02} + value: -0.054593 + - errors: + - {label: unc, value: 0.046949} + - {label: add, value: 0.02} + value: -0.007840 + - errors: + - {label: unc, value: 0.093759} + - {label: add, value: 0.02} + value: 0.060089 + - errors: + - {label: unc, value: 0.004380} + - {label: add, value: 0.02} + value: 0.029088 + - errors: + - {label: unc, value: 0.000320} + - {label: add, value: 0.02} + value: 0.037417 + - errors: + - {label: unc, value: 0.043278} + - {label: add, value: 0.02} + value: 0.119158 + - errors: + - {label: unc, value: 0.000543} + - {label: add, value: 0.02} + value: 0.039235 + - errors: + - {label: unc, value: 0.002795} + - {label: add, value: 0.02} + value: 0.077255 + - errors: + - {label: unc, value: 0.002353} + - {label: add, value: 0.02} + value: 0.039940 + - errors: + - {label: unc, value: 0.002384} + - {label: add, value: 0.02} + value: 0.201917 + - errors: + - {label: unc, value: 0.004112} + - {label: add, value: 0.02} + value: -0.027204 + - errors: + - {label: unc, value: 0.002020} + - {label: add, value: 0.02} + value: 0.040819 + - errors: + - {label: unc, value: 0.001277} + - {label: add, value: 0.02} + value: 0.186186 + - errors: + - {label: unc, value: 0.002430} + - {label: add, value: 0.02} + value: -0.017254 + - errors: + - {label: unc, value: 0.002408} + - {label: add, value: 0.02} + value: -0.008735 + - errors: + - {label: unc, value: 0.004531} + - {label: add, value: 0.02} + value: 0.055641 + - errors: + - {label: unc, value: 0.004597} + - {label: add, value: 0.02} + value: 0.198719 + - errors: + - {label: unc, value: 0.001426} + - {label: add, value: 0.02} + value: -0.016558 + - errors: + - {label: unc, value: 0.002190} + - {label: add, value: 0.02} + value: -0.008191 + - errors: + - {label: unc, value: 0.049487} + - {label: add, value: 0.02} + value: -0.026747 + - errors: + - {label: unc, value: 0.003984} + - {label: add, value: 0.02} + value: -0.015125 + - errors: + - {label: unc, value: 0.004719} + - {label: add, value: 0.02} + value: -0.008308 + - errors: + - {label: unc, value: 0.002557} + - {label: add, value: 0.02} + value: -0.003071 + - errors: + - {label: unc, value: 0.006652} + - {label: add, value: 0.02} + value: -0.003695 + - errors: + - {label: unc, value: 0.006914} + - {label: add, value: 0.02} + value: 0.650585 + - errors: + - {label: unc, value: 0.002664} + - {label: add, value: 0.02} + value: -0.016214 + - errors: + - {label: unc, value: 0.006356} + - {label: add, value: 0.02} + value: -0.007737 + - errors: + - {label: unc, value: 0.002064} + - {label: add, value: 0.02} + value: -0.006939 + - errors: + - {label: unc, value: 0.006319} + - {label: add, value: 0.02} + value: -0.002183 + - errors: + - {label: unc, value: 0.007810} + - {label: add, value: 0.02} + value: -0.023259 + - errors: + - {label: unc, value: 0.003153} + - {label: add, value: 0.02} + value: -0.009207 + - errors: + - {label: unc, value: 0.001818} + - {label: add, value: 0.02} + value: -0.001001 + - errors: + - {label: unc, value: 0.005326} + - {label: add, value: 0.02} + value: -0.005027 + - errors: + - {label: unc, value: 0.014464} + - {label: add, value: 0.02} + value: -0.014640 + - errors: + - {label: unc, value: 0.004796} + - {label: add, value: 0.02} + value: -0.009435 + - 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{high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} diff --git a/data/asymunf_18x275_pionspos_after_smear.yaml b/data/asymunf_18x275_pionspos_after_smear.yaml new file mode 100644 index 0000000..6b67f60 --- /dev/null +++ b/data/asymunf_18x275_pionspos_after_smear.yaml @@ -0,0 +1,5200 @@ +dependent_variables: +- header: {title: "EIC $PI^+$ A1p EIC 18x275"} + qualifiers: + - {name: process, value: pSIDIS} + - {name: observable, value: A1H} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 140.712472795, units: GeV} + - {name: Q, low: 1.0, high: 42.0, integrate: false} + - {name: x, low: 0.00005, high: 0.5, integrate: false} + - {name: z, low: 0.02, high: 0.95, integrate: true} + - {name: PS_reduction, ymin: 0.01, ymax: 0.95, W: 0} + - {name: hadron, value: PI} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.007782} + - {label: add, value: 0.02} + value: -0.013823 + - errors: + - {label: unc, value: 0.000188} + - {label: add, value: 0.02} + value: -0.005748 + - errors: + - {label: unc, value: 0.026916} + - {label: add, value: 0.02} + value: -0.019042 + - errors: + - {label: unc, value: 0.000535} + - {label: add, value: 0.02} + value: -0.008567 + - errors: + - {label: unc, value: 0.000396} + - {label: add, value: 0.02} + value: -0.014271 + - errors: + - {label: unc, value: 0.001149} + - {label: add, value: 0.02} + value: -0.008859 + - errors: + - {label: unc, value: 0.000267} + - {label: add, value: 0.02} + value: -0.015293 + - errors: + - {label: unc, value: 0.001296} + - {label: add, value: 0.02} + value: -0.027614 + - errors: + - {label: unc, value: 0.001771} + - {label: add, value: 0.02} + value: -0.009035 + - errors: + - {label: unc, value: 0.000396} + - {label: add, value: 0.02} + value: -0.013626 + - errors: + - {label: unc, value: 0.001687} + - {label: add, value: 0.02} + value: -0.033315 + - errors: + - {label: unc, value: 0.001867} + - {label: add, value: 0.02} + value: 0.624818 + - errors: + - {label: unc, value: 0.006648} + - {label: add, value: 0.02} + value: -0.013056 + - errors: + - {label: unc, value: 0.000835} + - {label: add, value: 0.02} + value: -0.010560 + - errors: + - {label: unc, value: 0.000641} + - {label: add, value: 0.02} + value: -0.026797 + - errors: + - {label: unc, value: 0.001256} + - {label: add, value: 0.02} + value: 0.133667 + - errors: + - {label: unc, value: 0.012608} + - {label: add, value: 0.02} + value: 0.006826 + - errors: + - {label: unc, value: 0.002832} + - {label: add, value: 0.02} + value: -0.011684 + - errors: + - {label: unc, value: 0.000767} + - {label: add, value: 0.02} + value: -0.022177 + - errors: + - {label: unc, value: 0.003380} + - {label: add, value: 0.02} + value: 0.899812 + - errors: + - {label: unc, value: 0.003822} + - {label: add, value: 0.02} + value: 0.018474 + - errors: + - {label: unc, value: 0.073134} + - {label: add, value: 0.02} + value: 0.028741 + - errors: + - {label: unc, value: 0.004357} + - {label: add, value: 0.02} + value: -0.017661 + - errors: + - {label: unc, value: 0.002337} + - {label: add, value: 0.02} + value: -0.019153 + - errors: + - {label: unc, value: 0.003409} + - {label: add, value: 0.02} + value: 0.022910 + - errors: + - {label: unc, value: 0.003156} + - {label: add, value: 0.02} + value: 0.008740 + - errors: + - {label: unc, value: 0.003681} + - {label: add, value: 0.02} + value: -0.019523 + - errors: + - {label: unc, value: 0.003429} + - {label: add, value: 0.02} + value: 0.005927 + - errors: + - {label: unc, value: 0.004714} + - {label: add, value: 0.02} + value: 0.008859 + - errors: + - {label: unc, value: 0.004272} + - {label: add, value: 0.02} + value: 0.952754 + - errors: + - {label: unc, value: 0.005176} + - {label: add, value: 0.02} + value: 0.008953 + - errors: + - {label: unc, value: 0.002284} + - {label: add, value: 0.02} + value: 0.012587 + - errors: + - {label: unc, value: 0.005655} + - {label: add, value: 0.02} + value: 0.003987 + - errors: + - {label: unc, value: 0.017094} + - {label: add, value: 0.02} + value: 0.305366 + - errors: + - {label: unc, value: 0.003042} + - {label: add, value: 0.02} + value: 0.024025 + - errors: + - {label: unc, value: 0.003922} + - {label: add, value: 0.02} + value: 0.018300 + - errors: + - {label: unc, value: 0.008784} + - {label: add, value: 0.02} + value: 0.012349 + - errors: + - {label: unc, value: 0.002829} + - {label: add, value: 0.02} + value: 0.009725 + - errors: + - {label: unc, value: 0.017477} + - {label: add, value: 0.02} + value: 0.032675 + - errors: + - {label: unc, value: 0.008469} + - {label: add, value: 0.02} + value: 0.014131 + - errors: + - {label: unc, value: 0.016738} + - {label: add, value: 0.02} + value: 0.002741 + - errors: + - {label: unc, value: 0.010017} + - {label: add, value: 0.02} + value: 0.018888 + - errors: + - {label: unc, value: 0.012333} + - {label: add, value: 0.02} + value: 0.003937 + - errors: + - {label: unc, value: 0.004445} + - {label: add, value: 0.02} + value: 0.010080 + - errors: + - {label: unc, value: 0.039992} + - {label: add, value: 0.02} + value: 0.028326 + - errors: + - {label: unc, value: 0.014168} + - {label: add, value: 0.02} + value: 0.006865 + - errors: + - {label: unc, value: 0.058659} + - {label: add, value: 0.02} + value: 0.006750 + - errors: + - {label: unc, value: 0.053430} + - {label: add, value: 0.02} + value: 0.060739 + - errors: + - {label: unc, value: 0.077437} + - {label: add, value: 0.02} + value: 0.120282 + - errors: + - {label: unc, value: 0.008066} + - {label: add, value: 0.02} + value: 0.009495 + - errors: + - {label: unc, value: 0.000505} + - {label: add, value: 0.02} + value: 0.004629 + - errors: + - {label: unc, value: 0.006064} + - {label: add, value: 0.02} + value: -0.004947 + - errors: + - {label: unc, value: 0.002898} + - {label: add, value: 0.02} + value: 0.006968 + - errors: + - {label: unc, value: 0.001122} + - {label: add, value: 0.02} + value: -0.011977 + - errors: + - {label: unc, value: 0.003156} + - {label: add, value: 0.02} + value: 0.003065 + - errors: + - {label: unc, value: 0.000486} + - {label: add, value: 0.02} + value: -0.021350 + - errors: + - {label: unc, value: 0.006895} + - {label: add, value: 0.02} + value: 0.000260 + - errors: + - {label: unc, value: 0.004610} + - {label: add, value: 0.02} + value: 0.000137 + - errors: + - {label: unc, value: 0.000634} + - {label: add, value: 0.02} + value: -0.018598 + - errors: + - {label: unc, value: 0.000416} + - {label: add, value: 0.02} + value: 0.007234 + - errors: + - {label: unc, value: 0.001660} + - {label: add, value: 0.02} + value: 0.000151 + - errors: + - {label: unc, value: 0.009766} + - {label: add, value: 0.02} + value: 0.013757 + - errors: + - {label: unc, value: 0.001221} + - {label: add, value: 0.02} + value: -0.028512 + - errors: + - {label: unc, value: 0.002665} + - {label: add, value: 0.02} + value: 0.010394 + - errors: + - {label: unc, value: 0.001092} + - {label: add, value: 0.02} + value: 0.003159 + - errors: + - {label: unc, value: 0.004806} + - {label: add, value: 0.02} + value: 0.009188 + - errors: + - {label: unc, value: 0.001221} + - {label: add, value: 0.02} + value: 0.007711 + - errors: + - {label: unc, value: 0.008339} + - {label: add, value: 0.02} + value: 0.014905 + - errors: + - {label: unc, value: 0.001491} + - {label: add, value: 0.02} + value: 0.003805 + - errors: + - {label: unc, value: 0.063795} + - {label: add, value: 0.02} + value: 0.117364 + - errors: + - {label: unc, value: 0.005104} + - {label: add, value: 0.02} + value: -0.030758 + - errors: + - {label: unc, value: 0.002045} + - {label: add, value: 0.02} + value: 0.007485 + - errors: + - {label: unc, value: 0.003646} + - {label: add, value: 0.02} + value: 0.006291 + - errors: + - {label: unc, value: 0.000757} + - {label: add, value: 0.02} + value: 0.002363 + - errors: + - {label: unc, value: 0.004152} + - {label: add, value: 0.02} + value: 0.003160 + - errors: + - {label: unc, value: 0.006116} + - {label: add, value: 0.02} + value: 0.007298 + - errors: + - {label: unc, value: 0.006740} + - {label: add, value: 0.02} + value: 0.006167 + - errors: + - {label: unc, value: 0.005135} + - {label: add, value: 0.02} + value: 0.000347 + - errors: + - {label: unc, value: 0.004299} + - {label: add, value: 0.02} + value: 0.005354 + - errors: + - {label: unc, value: 0.016932} + - {label: add, value: 0.02} + value: 0.001496 + - errors: + - {label: unc, value: 0.005684} + - {label: add, value: 0.02} + value: 0.011871 + - errors: + - {label: unc, value: 0.003009} + - {label: add, value: 0.02} + value: 0.006107 + - errors: + - {label: unc, value: 0.005015} + - {label: add, value: 0.02} + value: 0.005159 + - errors: + - {label: unc, value: 0.003821} + - {label: add, value: 0.02} + value: 0.004312 + - errors: + - {label: unc, value: 0.030090} + - {label: add, value: 0.02} + value: 0.006187 + - errors: + - {label: unc, value: 0.018811} + - {label: add, value: 0.02} + value: 0.022279 + - errors: + - {label: unc, value: 0.006916} + - {label: add, value: 0.02} + value: 0.003562 + - errors: + - {label: unc, value: 0.002634} + - {label: add, value: 0.02} + value: 0.002167 + - errors: + - {label: unc, value: 0.003627} + - {label: add, value: 0.02} + value: 0.003963 + - errors: + - {label: unc, value: 0.006682} + - {label: add, value: 0.02} + value: 0.008100 + - errors: + - {label: unc, value: 0.015801} + - {label: add, value: 0.02} + value: 0.022792 + - errors: + - {label: unc, value: 0.007913} + - {label: add, value: 0.02} + value: 0.021208 + - errors: + - {label: unc, value: 0.003964} + - {label: add, value: 0.02} + value: 0.012100 + - errors: + - {label: unc, value: 0.019039} + - {label: add, value: 0.02} + value: 0.024689 + - errors: + - {label: unc, value: 0.013767} + - {label: add, value: 0.02} + value: 0.009999 + - errors: + - {label: unc, value: 0.009019} + - {label: add, value: 0.02} + value: 0.027001 + - errors: + - {label: unc, value: 0.020725} + - {label: add, value: 0.02} + value: 0.038698 + - errors: + - {label: unc, value: 0.012959} + - {label: add, value: 0.02} + value: 0.020676 + - errors: + - {label: unc, value: 0.058143} + - {label: add, value: 0.02} + value: 0.074924 + - errors: + - {label: unc, value: 0.027700} + - {label: add, value: 0.02} + value: 0.040790 + - errors: + - {label: unc, value: 0.077909} + - {label: add, value: 0.02} + value: 0.123767 + - errors: + - {label: unc, value: 0.001257} + - {label: add, value: 0.02} + value: 0.005715 + - errors: + - {label: unc, value: 0.002377} + - {label: add, value: 0.02} + value: 0.011172 + - errors: + - {label: unc, value: 0.009775} + - {label: add, value: 0.02} + value: 0.003869 + - errors: + - {label: unc, value: 0.000860} + - {label: add, value: 0.02} + value: 0.009893 + - errors: + - {label: unc, value: 0.000710} + - {label: add, value: 0.02} + value: 0.003562 + - errors: + - {label: unc, value: 0.000984} + - {label: add, value: 0.02} + value: 0.006181 + - errors: + - {label: unc, value: 0.003936} + - {label: add, value: 0.02} + value: 0.003148 + - errors: + - {label: unc, value: 0.002543} + - {label: add, value: 0.02} + value: 0.010540 + - errors: + - {label: unc, value: 0.004899} + - {label: add, value: 0.02} + value: 0.005357 + - errors: + - {label: unc, value: 0.004585} + - {label: add, value: 0.02} + value: 0.003648 + - errors: + - {label: unc, value: 0.021898} + - {label: add, value: 0.02} + value: -0.008585 + - errors: + - {label: unc, value: 0.009835} + - {label: add, value: 0.02} + value: 0.007006 + - errors: + - {label: unc, value: 0.008611} + - {label: add, value: 0.02} + value: 0.002599 + - errors: + - {label: unc, value: 0.001318} + - {label: add, value: 0.02} + value: 0.001227 + - errors: + - {label: unc, value: 0.001619} + - {label: add, value: 0.02} + value: -0.000306 + - errors: + - {label: unc, value: 0.047302} + - {label: add, value: 0.02} + value: -0.079816 + - errors: + - {label: unc, value: 0.005417} + - {label: add, value: 0.02} + value: 0.008343 + - errors: + - {label: unc, value: 0.004594} + - {label: add, value: 0.02} + value: 0.001125 + - errors: + - {label: unc, value: 0.001432} + - {label: add, value: 0.02} + value: 0.001759 + - errors: + - {label: unc, value: 0.007018} + - {label: add, value: 0.02} + value: -0.016413 + - errors: + - {label: unc, value: 0.007776} + - {label: add, value: 0.02} + value: 0.006694 + - errors: + - {label: unc, value: 0.005383} + - {label: add, value: 0.02} + value: 0.000827 + - errors: + - {label: unc, value: 0.003534} + - {label: add, value: 0.02} + value: 0.008652 + - errors: + - {label: unc, value: 0.002564} + - {label: add, value: 0.02} + value: 0.000134 + - errors: + - {label: unc, value: 0.002864} + - {label: add, value: 0.02} + value: -0.002854 + - errors: + - {label: unc, value: 0.003112} + - {label: add, value: 0.02} + value: 0.004897 + - errors: + - {label: unc, value: 0.005116} + - {label: add, value: 0.02} + value: 0.001597 + - errors: + - {label: unc, value: 0.001181} + - {label: add, value: 0.02} + value: 0.001473 + - errors: + - {label: unc, value: 0.006222} + - {label: add, value: 0.02} + value: 0.006646 + - errors: + - {label: unc, value: 0.008726} + - {label: add, value: 0.02} + value: 0.013277 + - errors: + - {label: unc, value: 0.003280} + - {label: add, value: 0.02} + value: 0.000375 + - errors: + - {label: unc, value: 0.011317} + - {label: add, value: 0.02} + value: 0.004933 + - errors: + - {label: unc, value: 0.008930} + - {label: add, value: 0.02} + value: 0.019614 + - errors: + - {label: unc, value: 0.015308} + - {label: add, value: 0.02} + value: 0.005838 + - errors: + - {label: unc, value: 0.005565} + - {label: add, value: 0.02} + value: 0.001308 + - errors: + - {label: unc, value: 0.003372} + - {label: add, value: 0.02} + value: 0.004899 + - errors: + - {label: unc, value: 0.008280} + - {label: add, value: 0.02} + value: 0.000873 + - errors: + - {label: unc, value: 0.005949} + - {label: add, value: 0.02} + value: 0.009444 + - errors: + - {label: unc, value: 0.019492} + - {label: add, value: 0.02} + value: 0.025971 + - errors: + - {label: unc, value: 0.009556} + - {label: add, value: 0.02} + value: 0.025807 + - errors: + - {label: unc, value: 0.013376} + - {label: add, value: 0.02} + value: 0.013885 + - errors: + - {label: unc, value: 0.018351} + - {label: add, value: 0.02} + value: 0.010048 + - errors: + - {label: unc, value: 0.018924} + - {label: add, value: 0.02} + value: 0.001431 + - errors: + - {label: unc, value: 0.009139} + - {label: add, value: 0.02} + value: 0.017363 + - errors: + - {label: unc, value: 0.007069} + - {label: add, value: 0.02} + value: 0.009196 + - errors: + - {label: unc, value: 0.025888} + - {label: add, value: 0.02} + value: 0.042554 + - errors: + - {label: unc, value: 0.024702} + - {label: add, value: 0.02} + value: 0.007304 + - errors: + - {label: unc, value: 0.024963} + - {label: add, value: 0.02} + value: 0.051371 + - errors: + - {label: unc, value: 0.102137} + - {label: add, value: 0.02} + value: 0.567362 + - errors: + - {label: unc, value: 0.019447} + - {label: add, value: 0.02} + value: -0.004291 + - errors: + - {label: unc, value: 0.006131} + - {label: add, value: 0.02} + value: -0.000567 + - errors: + - {label: unc, value: 0.018770} + - {label: add, value: 0.02} + value: -0.019639 + - errors: + - {label: unc, value: 0.001340} + - {label: add, value: 0.02} + value: -0.004283 + - errors: + - {label: unc, value: 0.005106} + - {label: add, value: 0.02} + value: -0.007366 + - errors: + - {label: unc, value: 0.005086} + - {label: add, value: 0.02} + value: -0.013571 + - errors: + - {label: unc, value: 0.011559} + - {label: add, value: 0.02} + value: -0.026379 + - errors: + - {label: unc, value: 0.009500} + - {label: add, value: 0.02} + value: -0.009094 + - errors: + - {label: unc, value: 0.003238} + - {label: add, value: 0.02} + value: -0.007911 + - 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{high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} diff --git a/data/asymunf_5_41_kaonsneg_after_smear.yaml b/data/asymunf_5_41_kaonsneg_after_smear.yaml new file mode 100644 index 0000000..2becdb6 --- /dev/null +++ b/data/asymunf_5_41_kaonsneg_after_smear.yaml @@ -0,0 +1,4256 @@ +dependent_variables: +- header: {title: "EIC $KA^-$ A1p EIC 5x41"} + qualifiers: + - {name: process, value: pSIDIS} + - {name: observable, value: A1H} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 28.635642127, units: GeV} + - {name: Q, low: 1.0, high: 9.0, integrate: false} + - {name: x, low: 0.001, high: 0.5, integrate: false} + - {name: z, low: 0.02, high: 0.95, integrate: true} + - {name: PS_reduction, ymin: 0.01, ymax: 0.95, W: 0} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.007012} + - {label: add, value: 0.02} + value: -0.028913 + - errors: + - 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errors: + - {label: unc, value: 0.017460} + - {label: add, value: 0.02} + value: -0.014047 + - errors: + - {label: unc, value: 0.004891} + - {label: add, value: 0.02} + value: -0.004603 + - errors: + - {label: unc, value: 0.023645} + - {label: add, value: 0.02} + value: 0.011434 + - errors: + - {label: unc, value: 0.007291} + - {label: add, value: 0.02} + value: 0.013431 + - errors: + - {label: unc, value: 0.005144} + - {label: add, value: 0.02} + value: 0.010262 + - errors: + - {label: unc, value: 0.013807} + - {label: add, value: 0.02} + value: -0.027981 + - errors: + - {label: unc, value: 0.021844} + - {label: add, value: 0.02} + value: 0.002917 + - errors: + - {label: unc, value: 0.021874} + - {label: add, value: 0.02} + value: 0.018820 + - errors: + - {label: unc, value: 0.009451} + - {label: add, value: 0.02} + value: 0.025769 + - errors: + - {label: unc, value: 0.014112} + - {label: add, value: 0.02} + value: 0.017769 + - errors: + - {label: unc, value: 0.099340} + - {label: add, value: 0.02} + value: -0.038668 + - errors: + - {label: unc, value: 0.028280} + - {label: add, value: 0.02} + value: -0.011663 + - errors: + - {label: unc, value: 0.038037} + - {label: add, value: 0.02} + value: 0.037977 + - errors: + - {label: unc, value: 0.011179} + - {label: add, value: 0.02} + value: 0.021704 + - errors: + - {label: unc, value: 0.005381} + - {label: add, value: 0.02} + value: 0.033954 + - errors: + - {label: unc, value: 0.065558} + - {label: add, value: 0.02} + value: -0.141339 + - errors: + - {label: unc, value: 0.042046} + - {label: add, value: 0.02} + value: 0.018888 + - errors: + - {label: unc, value: 0.005335} + - {label: add, value: 0.02} + value: 0.037508 + - errors: + - {label: unc, value: 0.003903} + - {label: add, value: 0.02} + value: 0.044216 + - errors: + - {label: unc, value: 0.013181} + - {label: add, value: 0.02} + value: 0.061956 + - errors: + - {label: unc, value: 0.065561} + - {label: add, value: 0.02} + value: -0.002299 + - errors: + - {label: unc, value: 0.010123} + - {label: add, value: 0.02} + value: 0.024001 + - 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{high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} diff --git a/data/asymunf_5_41_kaonspos_after_smear.yaml b/data/asymunf_5_41_kaonspos_after_smear.yaml new file mode 100644 index 0000000..f3ea7dc --- /dev/null +++ b/data/asymunf_5_41_kaonspos_after_smear.yaml @@ -0,0 +1,4600 @@ +dependent_variables: +- header: {title: "EIC $KA^+$ A1p EIC 5x41"} + qualifiers: + - {name: process, value: pSIDIS} + - {name: observable, value: A1H} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 28.635642127, units: GeV} + - {name: Q, low: 1.0, high: 12.0, integrate: false} + - {name: x, low: 0.001, high: 0.70, integrate: false} + - {name: z, low: 0.02, high: 0.95, integrate: true} + - {name: PS_reduction, ymin: 0.01, ymax: 0.95, W: 0} + - {name: hadron, value: KA} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.008104} + - {label: add, value: 0.02} + value: 0.031991 + - errors: + - {label: unc, value: 0.014199} + - {label: add, value: 0.02} + value: 0.056081 + - errors: + - {label: unc, value: 0.008573} + - {label: add, value: 0.02} + value: 0.003326 + - errors: + - {label: unc, value: 0.007040} + - {label: add, value: 0.02} + value: 0.027534 + - errors: + - {label: unc, value: 0.019452} + - {label: add, value: 0.02} + value: 0.040434 + - errors: + - {label: unc, value: 0.003468} + - {label: add, value: 0.02} + value: 0.034363 + - errors: + - {label: unc, value: 0.021847} + - {label: add, value: 0.02} + value: 0.056960 + - errors: + - {label: unc, value: 0.013890} + - {label: add, value: 0.02} + value: 0.030685 + - errors: + - {label: unc, value: 0.009168} + - {label: add, value: 0.02} + value: 0.046782 + - errors: + - {label: unc, value: 0.015437} + - {label: add, value: 0.02} + value: 0.046621 + - errors: + - {label: unc, value: 0.029401} + - {label: add, value: 0.02} + value: 0.002171 + - errors: + - {label: unc, value: 0.017703} + - {label: add, value: 0.02} + value: 0.019749 + - errors: + - {label: unc, value: 0.015763} + - {label: add, value: 0.02} + value: 0.055308 + - errors: + - {label: unc, value: 0.020391} + - {label: add, value: 0.02} + value: 0.060387 + - errors: + - {label: unc, value: 0.036841} + - {label: add, value: 0.02} + value: 0.007629 + - errors: + - {label: unc, value: 0.008624} + - {label: add, value: 0.02} + value: 0.020319 + - errors: + - {label: unc, value: 0.003928} + - {label: add, value: 0.02} + value: 0.011020 + - errors: + - {label: unc, value: 0.036727} + - {label: add, value: 0.02} + value: 0.043504 + - errors: + - {label: unc, value: 0.053185} + - {label: add, value: 0.02} + value: 0.005201 + - errors: + - {label: unc, value: 0.033716} + - {label: add, value: 0.02} + value: 0.016585 + - errors: + - {label: unc, value: 0.002221} + - {label: add, value: 0.02} + value: 0.024577 + - errors: + - {label: unc, value: 0.019645} + - {label: add, value: 0.02} + value: 0.017384 + - errors: + - {label: unc, value: 0.088000} + - {label: add, value: 0.02} + value: 0.013143 + - errors: + - {label: unc, value: 0.054384} + - {label: add, value: 0.02} + value: 0.006340 + - errors: + - {label: unc, value: 0.050442} + - {label: add, value: 0.02} + value: 0.039615 + - errors: + - {label: unc, value: 0.009619} + - {label: add, value: 0.02} + value: 0.030508 + - errors: + - {label: unc, value: 0.005883} + - {label: add, value: 0.02} + value: 0.045884 + - errors: + - {label: unc, value: 0.072136} + - {label: add, value: 0.02} + value: -0.109500 + - errors: + - {label: unc, value: 0.067856} + - {label: add, value: 0.02} + value: 0.166099 + - errors: + - {label: unc, value: 0.009423} + - {label: add, value: 0.02} + value: 0.020736 + - errors: + - {label: unc, value: 0.007591} + - {label: add, value: 0.02} + value: 0.044653 + - errors: + - {label: unc, value: 0.005491} + - {label: add, value: 0.02} + value: 0.053537 + - errors: + - {label: unc, value: 0.088252} + - {label: add, value: 0.02} + value: 0.031557 + - errors: + - {label: unc, value: 0.030955} + - {label: add, value: 0.02} + value: 0.020066 + - errors: + - {label: unc, value: 0.014481} + - {label: add, value: 0.02} + value: 0.040926 + - errors: + - {label: unc, value: 0.008969} + - {label: add, value: 0.02} + value: 0.068643 + - errors: + - {label: unc, value: 0.007449} + - {label: add, value: 0.02} + value: 0.088964 + - errors: + - {label: unc, value: 0.384261} + - {label: add, value: 0.02} + value: -0.092175 + - errors: + - {label: unc, value: 0.034417} + - {label: add, value: 0.02} + value: 0.020083 + - errors: + - {label: unc, value: 0.010345} + - {label: add, value: 0.02} + value: 0.064116 + - errors: + - {label: unc, value: 0.007099} + - {label: add, value: 0.02} + value: 0.078080 + - errors: + - {label: unc, value: 0.006278} + - {label: add, value: 0.02} + value: 0.101543 + - errors: + - {label: unc, value: 0.155105} + - {label: add, value: 0.02} + value: -0.105073 + - errors: + - {label: unc, value: 0.045021} + - {label: add, value: 0.02} + value: 0.009486 + - errors: + - {label: unc, value: 0.017655} + - {label: add, value: 0.02} + value: 0.081346 + - errors: + - {label: unc, value: 0.010187} + - {label: add, value: 0.02} + value: 0.108777 + - errors: + - {label: unc, value: 0.152944} + - {label: add, value: 0.02} + value: -0.060284 + - errors: + - {label: unc, value: 0.032806} + - {label: add, value: 0.02} + value: 0.067515 + - errors: + - {label: unc, value: 0.036879} + - {label: add, value: 0.02} + value: 0.077249 + - errors: + - {label: unc, value: 0.083992} + - {label: add, value: 0.02} + value: 0.150020 + - errors: + - {label: unc, value: 0.034027} + - {label: add, value: 0.02} + value: 0.419737 + - errors: + - {label: unc, value: 0.006529} + - {label: add, value: 0.02} + value: 0.917429 + - errors: + - {label: unc, value: 0.006697} + - {label: add, value: 0.02} + value: -0.189552 + - errors: + - {label: unc, value: 0.002148} + - {label: add, value: 0.02} + value: 2.433430 + - errors: + - {label: unc, value: 0.006704} + - {label: add, value: 0.02} + value: -0.110337 + - errors: + - {label: unc, value: 0.005795} + - {label: add, value: 0.02} + value: 1.677712 + - errors: + - {label: unc, value: 0.012077} + - {label: add, value: 0.02} + value: -0.054884 + - errors: + - {label: unc, value: 0.009368} + - {label: add, value: 0.02} + value: -0.032690 + - errors: + - {label: unc, value: 0.005336} + - {label: add, value: 0.02} + value: 0.934265 + - errors: + - {label: unc, value: 0.011555} + - {label: add, value: 0.02} + value: -0.070847 + - errors: + - {label: unc, value: 0.024320} + - {label: add, value: 0.02} + value: -0.056283 + - errors: + - {label: unc, value: 0.006782} + - {label: add, value: 0.02} + value: -0.010436 + - errors: + - {label: unc, value: 0.012814} + - {label: add, value: 0.02} + value: 0.701792 + - errors: + - {label: unc, value: 0.009157} + - {label: add, value: 0.02} + value: -0.040836 + - errors: + - {label: unc, value: 0.025797} + - {label: add, value: 0.02} + value: -0.017415 + - errors: + - {label: unc, value: 0.005827} + - {label: add, value: 0.02} + value: 0.004589 + - errors: + - {label: unc, value: 0.006062} + - {label: add, value: 0.02} + value: 0.007231 + - errors: + - {label: unc, value: 0.008847} + - {label: add, value: 0.02} + value: -0.063750 + - errors: + - {label: unc, value: 0.045553} + - {label: add, value: 0.02} + value: -0.013293 + - errors: + - {label: unc, value: 0.028718} + - {label: add, value: 0.02} + value: 0.045828 + - errors: + - {label: unc, value: 0.002414} + - {label: add, value: 0.02} + value: 0.009892 + - errors: + - {label: unc, value: 0.021474} + - {label: add, value: 0.02} + value: 0.017980 + - errors: + - {label: unc, value: 0.042238} + - {label: add, value: 0.02} + value: -0.180161 + - errors: + - {label: unc, value: 0.030562} + - {label: add, value: 0.02} + value: -0.024691 + - errors: + - {label: unc, value: 0.057514} + - {label: add, value: 0.02} + value: 0.018559 + - errors: + - {label: unc, value: 0.011081} + - {label: add, value: 0.02} + value: 0.020802 + - errors: + - {label: unc, value: 0.003303} + - {label: add, value: 0.02} + value: 0.020000 + - errors: + - {label: unc, value: 0.035338} + - {label: add, value: 0.02} + value: -0.014002 + - errors: + - {label: unc, value: 0.070682} + - {label: add, value: 0.02} + value: 0.083195 + - errors: + - {label: unc, value: 0.008576} + - {label: add, value: 0.02} + value: 0.016693 + - errors: + - {label: unc, value: 0.004526} + - {label: add, value: 0.02} + value: 0.038553 + - errors: + - {label: unc, value: 0.010375} + - {label: add, value: 0.02} + value: 0.041106 + - errors: + - {label: unc, value: 0.044210} + - {label: add, value: 0.02} + value: -0.052119 + - errors: + - {label: unc, value: 0.016803} + - {label: add, value: 0.02} + value: 0.017969 + - errors: + - {label: unc, value: 0.006206} + - {label: add, value: 0.02} + value: 0.051953 + - errors: + - {label: unc, value: 0.005379} + - {label: add, value: 0.02} + value: 0.061644 + - errors: + - {label: unc, value: 0.072007} + - {label: add, value: 0.02} + value: 0.179341 + - errors: + - {label: unc, value: 0.159082} + - {label: add, value: 0.02} + value: -0.089488 + - errors: + - {label: unc, value: 0.018549} + - {label: add, value: 0.02} + value: 0.028080 + - errors: + - {label: unc, value: 0.019528} + - {label: add, value: 0.02} + value: 0.052190 + - errors: + - {label: unc, value: 0.008329} + - {label: add, value: 0.02} + value: 0.098169 + - errors: + - {label: unc, value: 0.006176} + - {label: add, value: 0.02} + value: 0.113116 + - errors: + - {label: unc, value: 0.070898} + - {label: add, value: 0.02} + value: 0.067832 + - errors: + - {label: unc, value: 0.020483} + - {label: add, value: 0.02} + value: 0.145645 + - errors: + - {label: unc, value: 0.028121} + - {label: add, value: 0.02} + value: 0.176696 + - errors: + - {label: unc, value: 0.012669} + - {label: add, value: 0.02} + value: 0.160484 + - errors: + - {label: unc, value: 0.061136} + - {label: add, value: 0.02} + value: 0.017831 + - errors: + - {label: unc, value: 0.028089} + - {label: add, value: 0.02} + value: 0.179141 + - errors: + - {label: unc, value: 0.031322} + - {label: add, value: 0.02} + value: 0.228351 + - errors: + - {label: unc, value: 0.101289} + - {label: add, value: 0.02} + value: 0.153927 + - errors: + - {label: unc, value: 0.066255} + - {label: add, value: 0.02} + value: 0.323697 + - errors: + - {label: unc, value: 0.026389} + - {label: add, value: 0.02} + value: -0.323582 + - errors: + - {label: unc, value: 0.001532} + - {label: add, value: 0.02} + value: -0.122360 + - errors: + - {label: unc, value: 0.097907} + - {label: add, value: 0.02} + value: -0.183147 + - errors: + - {label: unc, value: 0.003061} + - {label: add, value: 0.02} + value: -0.095019 + - errors: + - {label: unc, value: 0.002208} + - {label: add, value: 0.02} + value: -0.029116 + - errors: + - {label: unc, value: 0.003242} + - {label: add, value: 0.02} + value: -0.061592 + - errors: + - {label: unc, value: 0.009801} + - {label: add, value: 0.02} + value: -0.023116 + - errors: + - {label: unc, value: 0.014712} + - {label: add, value: 0.02} + value: -0.004436 + - errors: + - {label: unc, value: 0.006758} + - {label: add, value: 0.02} + value: -0.039161 + - errors: + - {label: unc, value: 0.003254} + - {label: add, value: 0.02} + value: -0.003400 + - errors: + - {label: unc, value: 0.008693} + - {label: add, value: 0.02} + value: 0.002645 + - errors: + - {label: unc, value: 0.015305} + - {label: add, value: 0.02} + value: 0.004215 + - errors: + - {label: unc, value: 0.016750} + - {label: add, value: 0.02} + value: -0.023230 + - errors: + - {label: unc, value: 0.007049} + - {label: add, value: 0.02} + value: -0.007262 + - errors: + - {label: unc, value: 0.006472} + - {label: add, value: 0.02} + value: 0.000990 + - 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{high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} diff --git a/data/asymunf_5x41_pionsneg_after_smear.yaml b/data/asymunf_5x41_pionsneg_after_smear.yaml new file mode 100644 index 0000000..3050ba4 --- /dev/null +++ b/data/asymunf_5x41_pionsneg_after_smear.yaml @@ -0,0 +1,4960 @@ +dependent_variables: +- header: {title: "EIC $Pi^-$ A1p EIC 5x41"} + qualifiers: + - {name: process, value: pSIDIS} + - {name: observable, value: A1H} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 28.635642127, units: GeV} + - {name: Q, low: 1.0, high: 19.0, integrate: false} + - {name: x, low: 0.001, high: 0.70, integrate: false} + - {name: z, low: 0.02, high: 0.95, integrate: true} + - {name: PS_reduction, ymin: 0.01, ymax: 0.95, W: 0} + - 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{high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} + - {high: 0.95000, low: 0.01000, value: 0.48000} diff --git a/data/asymunf_5x41_pionspos_after_smear.yaml b/data/asymunf_5x41_pionspos_after_smear.yaml new file mode 100644 index 0000000..e3e1a4b --- /dev/null +++ b/data/asymunf_5x41_pionspos_after_smear.yaml @@ -0,0 +1,4987 @@ +dependent_variables: +- header: {title: "EIC $Pi^+$ A1p EIC 5x41"} + qualifiers: + - {name: process, value: pSIDIS} + - {name: observable, value: A1H} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 28.635642127, units: GeV} + - {name: Q, low: 1.0, high: 20.0, integrate: false} + - {name: x, low: 0.001, high: 0.70, integrate: false} + - {name: z, low: 0.02, high: 0.95, integrate: true} + - {name: PS_reduction, ymin: 0.01, ymax: 0.95, W: 0} + - {name: hadron, value: PI} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.003045} + - {label: add, value: 0.02} + value: -0.009362 + - errors: + - {label: unc, value: 0.012605} + - {label: add, value: 0.02} + value: -0.006120 + - errors: + - {label: unc, value: 0.007566} + - {label: add, value: 0.02} + value: -0.008219 + - errors: + - {label: unc, value: 0.004904} + - {label: add, value: 0.02} + value: -0.021575 + - errors: + - {label: unc, value: 0.018932} + - {label: add, value: 0.02} + value: -0.020892 + - errors: + - {label: unc, value: 0.004200} + - {label: add, value: 0.02} + value: -0.011043 + - errors: + - {label: unc, value: 0.017167} + - {label: add, value: 0.02} + value: -0.023081 + - errors: + - {label: unc, value: 0.006804} + - {label: add, value: 0.02} + value: -0.015296 + - errors: + - {label: unc, value: 0.003469} + - {label: add, value: 0.02} + value: 0.001591 + - errors: + - {label: unc, value: 0.013686} + - {label: add, value: 0.02} + value: -0.002456 + - errors: + - {label: unc, value: 0.023930} + - {label: add, value: 0.02} + value: -0.019634 + - errors: + - {label: unc, value: 0.001309} + - {label: add, value: 0.02} + value: -0.046343 + - errors: + - {label: unc, value: 0.007224} + - {label: add, value: 0.02} + value: 0.020691 + - errors: + - {label: unc, value: 0.009325} + - {label: add, value: 0.02} + value: 0.042924 + - errors: + - {label: unc, value: 0.041440} + - {label: add, value: 0.02} + value: 0.029940 + - errors: + - {label: unc, value: 0.007082} + - {label: add, value: 0.02} + value: 0.184353 + - errors: + - {label: unc, value: 0.016989} + - {label: add, value: 0.02} + value: -0.030895 + - errors: + - {label: unc, value: 0.009414} + - {label: add, value: 0.02} + value: 0.073666 + - 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errors: + - {label: unc, value: 0.009192} + - {label: add, value: 0.02} + value: 0.020897 + - errors: + - {label: unc, value: 0.006826} + - {label: add, value: 0.02} + value: 0.035481 + - errors: + - {label: unc, value: 0.007739} + - {label: add, value: 0.02} + value: 0.052529 + - errors: + - {label: unc, value: 0.063895} + - {label: add, value: 0.02} + value: -0.020453 + - errors: + - {label: unc, value: 0.013977} + - {label: add, value: 0.02} + value: 0.076932 + - errors: + - {label: unc, value: 0.005591} + - {label: add, value: 0.02} + value: 0.064456 + - errors: + - {label: unc, value: 0.002631} + - {label: add, value: 0.02} + value: 0.081498 + - errors: + - {label: unc, value: 0.011066} + - {label: add, value: 0.02} + value: 0.112787 + - errors: + - {label: unc, value: 0.064030} + - {label: add, value: 0.02} + value: -0.128779 + - errors: + - {label: unc, value: 0.019170} + - {label: add, value: 0.02} + value: 0.051055 + - errors: + - {label: unc, value: 0.012376} + - {label: add, value: 0.02} + value: 0.103206 + - 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