# machine-readable table in parallel to the H1 publication # DESY-24-035 [arxiv:2403.10109] # # cross section tables have one row per bin, and multiple columns # describing the binninhg, cross sections, systematic uncertainties, # correction factors, predictions, ratios to predictions # # correlation coefficients apply to the statistical uncertainties only # they are given in the form of square matrices, the first row and # first column containing bin numbers. The correlation coefficients # are given in percent. # # The file is structured as follows # lines starting with # are comment lines # tables start with the keyword "table" followed by a table number. # next there is a table header, starting with "ibin", labelling the table columns # next there are table rows # next there is the keyword "Correlations" # followed by a table header starting with "ibin" # followed by correlation coefficient data # # # definition of the table columns # # ibin : bin number for use with statistical correlation coefficients # y_lo : lower bound on y for this bin # y_hi : upper bound on y for this bin # Q2_lo : lower bound on Q2 for this bin # Q2_hi : upper bound on Q2 for this bin # Sigma : measured cross section # stat[%] : statistical uncertainty # RCES[%] : RCES hadronic energy scale uncertainty # JES[%] : JES hadronic energy scale uncertainty # HadTh[%] : hadron polar angle uncertainty # ElEn[%] : electron energy scale uncertainty # ElTh[%] : electropn polar angle uncertainty # Model[%] : model uncertainty # MCstat[%] : Monte Carlo statistical uncertainty # Unfold[%] : unfolding uncertainty # ElecID[%] : electron identification uncertainty # Lumi[%] : luminosity uncertainty # Uncor[%] : uncorrelated systematic uncertainty # QEDerr[%] : QED correction uncertainty # c_QED : correction factor (already applied to sigma) # c_NoZ : optional correction factor # c_Born : optional correction factor # c_e+p : optional correction factor # c_Had : hadronisation correction for comparing to parton cross section predictions # HADerr[%] : uncertainty on c_Had # Django : Djanhoh prediction # Rapgap : Rapgap prediction table 37 # ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- # 2D cross sections d²σ/dQ²dy [pb/GeV²] # ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ibin y_lo y_hi Q2_lo Q2_hi Sigma stat[%] RCES[%] JES[%] HadTh[%] ElEn[%] ElTh[%] Model[%] MCstat[%] Unfold[%] ElecID[%] Lumi[%] Uncor[%] QEDerr[%] c_QED c_NoZ c_Born c_e+p c_Had HADerr[%] Django Rapgap # ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 1 0.05 0.10 150 200 174.3 2.9 +2.1 +0.7 +0.8 +3.8 +1.3 +0.9 0.5 -0.0 0.2 2.7 0.5 0.2 1.067 0.999 0.922 0.999 1.000 0.0 180.6 176.5 2 0.05 0.10 200 280 139.3 1.6 +1.6 +0.3 +0.3 -1.6 +0.7 -0.3 0.2 -0.1 0.2 2.7 0.5 0.2 1.071 0.992 0.911 0.995 1.000 0.0 143.3 138.6 3 0.05 0.10 280 440 113.6 1.7 +1.6 +0.2 +0.3 -1.7 +0.7 -0.2 0.2 +0.0 0.2 2.7 0.5 0.2 1.066 0.993 0.912 0.992 1.000 0.0 116.7 113.5 4 0.05 0.10 440 700 64.84 2.2 +1.3 +0.2 +0.1 -2.0 +0.4 +0.3 0.2 -0.1 0.2 2.7 0.5 0.2 1.064 0.991 0.910 0.991 1.000 0.0 66.19 64.41 5 0.05 0.10 700 1100 35.93 2.4 +0.7 +0.1 -0.3 -1.3 +0.3 -1.1 0.2 -0.0 0.2 2.7 0.5 0.3 1.069 0.981 0.902 0.983 1.000 0.0 35.36 34.03 11 0.10 0.20 150 200 217.3 1.5 +1.4 +0.4 +0.2 +1.8 +0.8 +0.5 0.2 -0.0 0.2 2.7 0.5 0.2 1.073 0.994 0.919 0.997 1.000 0.0 215.2 209.3 12 0.10 0.20 200 280 175.6 1.2 +0.8 +0.1 -0.0 -1.3 +0.7 +0.2 0.1 -0.0 0.2 2.7 0.5 0.2 1.073 0.993 0.915 0.993 1.000 0.0 170 164.7 13 0.10 0.20 280 440 141.5 1.2 +1.0 +0.1 +0.0 -1.1 +0.6 +0.1 0.1 -0.0 0.2 2.7 0.5 0.1 1.067 0.991 0.911 0.992 1.000 0.0 138.2 134 14 0.10 0.20 440 700 83.26 1.6 +1.2 +0.1 +0.1 -1.6 +0.5 -0.0 0.1 -0.0 0.2 2.7 0.5 0.2 1.070 0.987 0.906 0.987 1.000 0.0 78.31 75.85 15 0.10 0.20 700 1100 41.88 2.1 +1.2 -0.0 +0.0 -1.1 +0.4 +0.2 0.1 -0.0 0.2 2.7 0.5 0.2 1.063 0.978 0.907 0.979 1.000 0.0 41.85 40.57 16 0.10 0.20 1100 1700 21.64 2.8 +1.5 +0.1 +0.0 -1.4 +0.2 -0.8 0.1 -0.1 0.2 2.7 0.5 0.2 1.068 0.968 0.902 0.970 1.000 0.0 22.63 21.82 21 0.20 0.40 150 200 247.6 1.0 +0.8 +0.3 +0.0 -0.3 +0.7 +0.9 0.1 +0.0 0.2 2.7 0.5 0.1 1.072 0.996 0.918 0.996 1.000 0.0 240.3 233.5 22 0.20 0.40 200 280 193.9 1.1 +0.6 +0.0 -0.0 -1.0 +0.7 +1.0 0.1 -0.0 0.2 2.7 0.5 0.1 1.071 0.994 0.916 0.994 1.000 0.0 191.2 185.7 23 0.20 0.40 280 440 164.4 1.1 +0.7 +0.1 -0.0 -1.1 +0.5 +0.6 0.1 -0.0 0.2 2.7 0.5 0.1 1.069 0.993 0.913 0.992 1.000 0.0 156.2 151.7 24 0.20 0.40 440 700 94.95 1.5 +0.9 +0.0 -0.1 -1.3 +0.4 +0.3 0.1 -0.0 0.2 2.7 0.5 0.1 1.069 0.987 0.908 0.986 1.000 0.0 88.52 85.84 25 0.20 0.40 700 1100 51.29 1.8 +0.8 -0.0 -0.1 -0.9 +0.3 +0.3 0.1 -0.0 0.2 2.7 0.5 0.2 1.068 0.975 0.906 0.974 1.000 0.0 47.19 45.67 26 0.20 0.40 1100 1700 26.03 2.5 +1.2 -0.0 -0.0 -1.3 +0.3 +0.1 0.1 -0.0 0.2 2.7 0.5 0.2 1.066 0.956 0.903 0.953 1.000 0.0 25.46 24.57 27 0.20 0.40 1700 3500 20.2 3.0 +2.3 +0.0 +0.1 -1.9 +0.0 -1.1 0.2 -0.2 0.2 2.7 0.5 0.2 1.066 0.918 0.900 0.908 1.000 0.0 20.66 19.93 28 0.20 0.40 3500 8000 7.902 4.4 +3.8 +0.0 +0.6 -2.3 -0.0 -0.3 0.2 -0.3 1.0 2.7 0.5 0.4 1.060 0.838 0.908 0.812 1.000 0.0 8.555 8.304 29 0.20 0.40 8000 20000 1.266 11.4 +4.2 -0.0 +1.1 -3.6 -0.3 +0.2 0.5 -0.7 1.0 2.7 0.5 0.8 1.059 0.741 0.917 0.689 1.000 0.0 1.717 1.671 31 0.40 0.70 150 200 196.5 1.3 -0.6 -1.2 -0.1 -0.6 +0.5 +2.4 0.1 -0.0 0.2 2.7 0.5 0.1 1.074 0.993 0.918 0.994 1.000 0.0 197 190.8 32 0.40 0.70 200 280 157.7 1.3 -0.4 -0.7 -0.1 -0.5 +0.4 +2.2 0.1 -0.0 0.2 2.7 0.5 0.1 1.072 0.992 0.914 0.993 1.000 0.0 157.9 153.1 33 0.40 0.70 280 440 135.7 1.4 -0.3 -0.4 -0.1 -0.7 +0.4 +1.8 0.1 -0.0 0.2 2.7 0.5 0.1 1.071 0.989 0.910 0.990 1.000 0.0 130.4 126.4 34 0.40 0.70 440 700 75.34 1.8 +0.2 -0.2 -0.1 -0.8 +0.3 +1.1 0.1 -0.0 0.2 2.7 0.5 0.1 1.069 0.986 0.909 0.986 1.000 0.0 74.42 72.37 35 0.40 0.70 700 1100 41.08 2.1 +0.3 -0.1 -0.1 -0.7 +0.3 +0.6 0.1 -0.0 0.2 2.7 0.5 0.2 1.068 0.975 0.905 0.971 1.000 0.0 39.75 38.63 36 0.40 0.70 1100 1700 22.59 2.9 +0.7 -0.1 -0.1 -0.9 +0.2 +0.5 0.2 -0.0 0.2 2.7 0.5 0.2 1.071 0.953 0.900 0.943 1.000 0.0 21.42 20.69 37 0.40 0.70 1700 3500 17.86 3.1 +1.4 -0.0 -0.0 -1.0 +0.1 +0.6 0.2 -0.2 0.2 2.7 0.5 0.3 1.065 0.905 0.902 0.889 1.000 0.0 17.4 16.84 38 0.40 0.70 3500 8000 7.9 4.1 +2.1 -0.0 +0.0 -1.6 -0.0 -0.1 0.2 -0.0 1.0 2.7 0.5 0.4 1.066 0.782 0.903 0.725 1.000 0.0 8.009 7.771 39 0.40 0.70 8000 20000 2.612 7.5 +4.4 +0.0 +0.5 -3.2 -0.6 -1.2 0.3 -0.1 1.0 2.7 0.5 0.7 1.069 0.633 0.915 0.523 1.000 0.0 2.838 2.779 45 0.70 0.94 700 1100 21.4 4.8 -1.7 -0.5 -0.1 +0.3 +0.1 +0.9 0.3 -0.1 0.2 2.7 0.5 0.2 1.072 0.972 0.904 0.970 1.000 0.0 21.39 20.74 46 0.70 0.94 1100 1700 10.68 5.1 -0.3 -0.2 +0.1 +0.1 +0.2 +1.6 0.3 -0.2 0.2 2.7 0.5 0.3 1.067 0.952 0.906 0.949 1.000 0.0 11.51 11.18 47 0.70 0.94 1700 3500 9.873 4.3 +0.3 -0.1 -0.1 -0.2 +0.2 +1.6 0.3 -0.1 0.2 2.7 0.5 0.4 1.061 0.905 0.903 0.881 1.000 0.0 9.319 9.038 48 0.70 0.94 3500 8000 4.002 6.4 +1.3 +0.0 -0.1 -0.9 -0.0 +4.5 0.4 -0.2 1.0 2.7 0.5 0.5 1.061 0.764 0.910 0.690 1.000 0.0 4.346 4.151 49 0.70 0.94 8000 20000 2.249 8.0 +1.9 +0.1 -0.0 -1.3 -0.3 +3.7 0.5 -0.8 1.0 2.7 0.5 0.8 1.057 0.600 0.911 0.440 1.000 0.0 1.805 1.771 # ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Correlations ibin 1 2 3 4 5 11 12 13 14 15 16 21 22 23 24 25 26 27 28 29 31 32 33 34 35 36 37 38 39 45 46 47 48 49 1 100 -22 3 -0 0 -23 5 -1 0 -0 0 4 -1 0 0 0 -0 0 0 0 -0 0 0 0 0 0 -0 0 0 0 0 0 0 0 2 -22 100 -11 1 0 4 -23 3 -0 -0 0 0 4 -1 0 0 -0 0 0 0 0 -1 0 0 -0 0 0 0 -0 0 -0 -0 -0 -0 3 3 -11 100 -7 1 -0 1 -21 2 -0 0 1 -0 3 -0 0 -0 0 0 0 0 -0 -0 0 -0 0 0 0 -0 0 -0 -0 -0 -0 4 -0 1 -7 100 -7 0 -0 1 -19 1 0 0 -0 -0 3 -0 -0 0 0 0 0 -0 0 -0 0 0 0 0 -0 0 -0 -0 -0 -0 5 0 0 1 -7 100 0 -0 -0 1 -18 0 1 -0 0 -0 2 -0 0 0 0 0 -0 0 0 -0 0 0 0 -0 0 -0 -0 -0 -0 11 -23 4 -0 0 0 100 -19 2 -0 -0 0 -19 3 -0 0 -0 -0 0 0 0 3 -1 0 -0 -0 0 0 0 -0 -0 -0 -0 -0 -0 12 5 -23 1 -0 -0 -19 100 -11 1 -0 -0 3 -17 2 -0 0 0 -0 -0 -0 -0 3 -0 0 0 -0 -0 -0 0 0 0 0 0 0 13 -1 3 -21 1 -0 2 -11 100 -7 0 -0 -0 1 -17 1 -0 0 -0 -0 -0 -0 -0 2 -0 0 -0 -0 -0 0 -0 0 0 0 0 14 0 -0 2 -19 1 -0 1 -7 100 -7 1 -0 -0 1 -15 1 -0 -0 -0 -0 -0 -0 -0 2 -0 0 0 0 -0 -0 -0 -0 -0 -0 15 -0 -0 -0 1 -18 -0 -0 0 -7 100 -8 -0 0 -0 1 -13 1 -0 -0 -0 -0 0 -0 -0 1 -0 0 0 0 -0 0 0 -0 0 16 0 0 0 0 0 0 -0 -0 1 -8 100 0 -0 -0 -0 1 -12 0 0 0 0 -0 -0 0 -0 1 -0 0 -0 0 -0 -0 -0 -0 21 4 0 1 0 1 -19 3 -0 -0 -0 0 100 -15 2 -0 0 -0 0 0 0 -15 3 -0 0 0 0 -0 -0 0 0 0 0 0 0 22 -1 4 -0 -0 -0 3 -17 1 -0 0 -0 -15 100 -10 1 -0 0 -0 0 -0 1 -14 2 -0 0 0 -0 -0 0 0 0 0 1 0 23 0 -1 3 -0 0 -0 2 -17 1 -0 -0 2 -10 100 -7 1 -0 0 0 0 0 1 -13 1 -0 0 -0 -0 0 0 0 0 0 0 24 0 0 -0 3 -0 0 -0 1 -15 1 -0 -0 1 -7 100 -8 1 -0 0 -0 0 0 1 -12 1 -0 -0 -0 0 0 0 0 1 0 25 0 0 0 -0 2 -0 0 -0 1 -13 1 0 -0 1 -8 100 -7 0 -0 -0 0 0 -0 1 -11 1 -0 0 0 1 -0 0 0 0 26 -0 -0 -0 -0 -0 -0 0 0 -0 1 -12 -0 0 -0 1 -7 100 -6 0 0 0 0 0 -0 1 -10 1 -0 -0 -0 1 0 0 0 27 0 0 0 0 0 0 -0 -0 -0 -0 0 0 -0 0 -0 0 -6 100 -4 0 0 -0 -0 0 -0 0 -9 0 -0 0 -0 1 -0 -0 28 0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 0 -4 100 -3 0 0 0 0 0 -0 0 -8 0 0 0 0 1 -0 29 0 0 0 0 0 0 -0 -0 -0 -0 0 0 -0 0 -0 -0 0 0 -3 100 0 -0 0 0 -0 -0 0 0 -9 0 -0 -0 0 1 31 -0 0 0 0 0 3 -0 -0 -0 -0 0 -15 1 0 0 0 0 0 0 0 100 -13 2 0 0 0 -0 -0 0 0 1 1 1 0 32 0 -1 -0 -0 -0 -1 3 -0 -0 0 -0 3 -14 1 0 0 0 -0 0 -0 -13 100 -10 1 0 0 -0 -0 0 0 1 1 2 0 33 0 0 -0 0 0 0 -0 2 -0 -0 -0 -0 2 -13 1 -0 0 -0 0 0 2 -10 100 -9 1 -0 -0 -0 0 0 0 1 1 0 34 0 0 0 -0 0 -0 0 -0 2 -0 0 0 -0 1 -12 1 -0 0 0 0 0 1 -9 100 -8 1 -0 -0 0 0 0 0 1 0 35 0 -0 -0 0 -0 -0 0 0 -0 1 -0 0 0 -0 1 -11 1 -0 0 -0 0 0 1 -8 100 -8 0 -0 0 -9 1 0 1 0 36 0 0 0 0 0 0 -0 -0 0 -0 1 0 0 0 -0 1 -10 0 -0 -0 0 0 -0 1 -8 100 -6 0 -0 0 -7 1 0 0 37 -0 0 0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 1 -9 0 0 -0 -0 -0 -0 0 -6 100 -4 0 -0 0 -8 0 -0 38 0 0 0 0 0 0 -0 -0 0 0 0 -0 -0 -0 -0 0 -0 0 -8 0 -0 -0 -0 -0 -0 0 -4 100 -4 -0 -0 0 -6 0 39 0 -0 -0 -0 -0 -0 0 0 -0 0 -0 0 0 0 0 0 -0 -0 0 -9 0 0 0 0 0 -0 0 -4 100 0 0 0 0 -8 45 0 0 0 0 0 -0 0 -0 -0 -0 0 0 0 0 0 1 -0 0 0 0 0 0 0 0 -9 0 -0 -0 0 100 -10 1 1 0 46 0 -0 -0 -0 -0 -0 0 0 -0 0 -0 0 0 0 0 -0 1 -0 0 -0 1 1 0 0 1 -7 0 -0 0 -10 100 -7 2 0 47 0 -0 -0 -0 -0 -0 0 0 -0 0 -0 0 0 0 0 0 0 1 0 -0 1 1 1 0 0 1 -8 0 0 1 -7 100 -3 1 48 0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 0 1 0 1 0 0 -0 1 0 1 2 1 1 1 0 0 -6 0 1 2 -3 100 -4 49 0 -0 -0 -0 -0 -0 0 0 -0 0 -0 0 0 0 0 0 0 -0 -0 1 0 0 0 0 0 0 -0 0 -8 0 0 1 -4 100