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Dataset Details

An important aspect of the data samples is that they were prepared specifically for educational purposes. To this end, precision has been traded for simplicity of use. The introduced simplifications are:

  • No facilities to estimate systematic uncertainties have been included as these quickly introduce large complexities.

  • The b-tagging scale factor is computed for a specific working point (MV1@70% efficiency). The user, however, is free to specify the b-tagging weight used for tagging jets allowing for a potential mismatch of the definition considered in the scale factor calculation and the one being actually applied.

  • No QCD simulated samples were prepared as they would have been insufficient in statistics while introducing large set of additional samples.

  • The description of the $$W$$ boson properties in simulated $$W$$ + jets events is not ideal. Corrections are only available for samples produced with the Monte Carlo generator Alpgen but not for those produced with Sherpa generator. However, using Alpgen would have introduced a prohibitively large number of samples. Sherpa was therefore used.

  • The missing transverse momentum was calculated using the object preselection. A recalculation of the missing transverse momentum is not implemented into the tools provided for simplicity reasons. Therefore, changes in the object selection are not reflected in the missing transverse momentum leading to potential mis-modeling of variables relying on it.

  • The simulated data takes into account the pile-up and vertex position profile of the whole 2012 data taking, although the measured data is taken from a small list of runs from period D. This introduces a certain mismatch regarding the number of vertices and the primary vertex position.

Details of the available simulated Monte Carlo datasets

The datasets have been reduced in size to optimise the storage requirements. The available number of events in the samples is given in the column N events, which is after the preselection cuts.

The factor FE denotes the filter efficiency for a given sample and $$f_k$$ is used for rescaling the leading order estimate to next to leading order in perturbative QCD.

The following samples represent about 6.5 Gb.

process DataSet ID Generator $$\sigma$$*FE [pb] $$f_k$$ L [$$fb^{-1}$$] N events size/Mb
ttbar -> l + X 117050 PowHeg+Pythia 114.51 1.2 26.236 1500000 291
ttbar -> Jets 117049 PowHeg+Pythia 96.35 1.2 85.027 25170 5.7
single top t-chan top 110090 PowHeg+Pythia 17.52 1.05 24.21 150000 21
single top t-chan antitop 110091 PowHeg+Pythia 9.4 1.06 43.23 150000 15
single top s-chan 110119 PowHeg+Pythia 1.64 1.107 167.73 100000 15
single top Wt-chan 110140 PowHeg+Pythia 20.46 1.09 28.50 150000 26
Z+Jets ee 147770 Sherpa 1207.4 1.028 10.08 7500000 938
Z+Jets mumu 147771 Sherpa 1207.4 1.028 9.63 7500000 918
Z+Jets tautau 147772 Sherpa 1207.1 1.028 11.08 750000 93
Drell-Yan ee M08to15 173041 Sherpa 92.15 1.0 45.95 400000 57
Drell-Yan ee M15to40 173042 Sherpa 279.19 1.0 47.22 750000 100
Drell-Yan mumu M08to15 173043 Sherpa 92.08 1.0 51.93 500000 74
Drell-Yan mumu M15to40 173044 Sherpa 279.2 1.0 41.01 750000 103
Drell-Yan tautau M08to15 173045 Sherpa 92.12 1.0 27.13 9993 1.5
Drell-Yan tautau M15to40 173046 Sherpa 279.11 1.0 49.54 32393 4.5
W+Jets enu with b 167740 Sherpa 140.34 1.1 12.333 750000 86
W+Jets enu with jets, bveto 167741 Sherpa 537.84 1.1 9.563 2600000 296
W+Jets enu no jets, bveto 167742 Sherpa 10295 1.1 1.971 8000000 722
W+Jets munu with b 167743 Sherpa 140.39 1.1 11.935 750000 84
W+Jets munu with jets, bveto 167744 Sherpa 466.47 1.1 10.582 2500000 287
W+Jets munu no jets, bveto 167745 Sherpa 10368 1.1 1.719 7500000 666
W+Jets taunu with b 167746 Sherpa 140.34 1.1 18.245 100000 13
W+Jets taunu with jets, bveto 167747 Sherpa 506.45 1.1 9.821 250000 31
W+Jets taunu no jets, bveto 167748 Sherpa 10327 1.1 1.945 550000 55
WW 105985 Herwig 12.42 1.683 46.32 500000 63
ZZ 105986 Herwig 0.992 1.55 151.19 125000 20
WZ 105987 Herwig 3.667 1.9 138.44 500000 68

The $$Z'$$ and Higgs samples represent a further 150 Mb.

|process | DataSet ID | Generator | $$\sigma$$*FE [pb] | $$f_k$$ | L [$$fb^{-1}$$] | N events | size/Mb | | -- | -- | -- | -- | -- | -- | -- | -- | -- | |Z' -> ttbar [ 400] GeV | 110899 | Pythia | 4.259 | 1.0 | 23.48 | 18307 | 4.3 | |Z' -> ttbar [ 500] GeV | 110901 | Pythia | 3.925 | 1.0 | 25.48 | 19737 | 4.7 | |Z' -> ttbar [ 750] GeV | 110902 | Pythia | 1.243 | 1.0 | 80.45 | 21051 | 5.3 | |Z' -> ttbar [1000] GeV | 110903 | Pythia | 0.394 | 1.0 | 253.81 | 20649 | 5.5 | |Z' -> ttbar [1250] GeV | 110904 | Pythia | 0.139 | 1.0 | 719.43 | 19274 | 5.5 | |Z' -> ttbar [1500] GeV | 110905 | Pythia | 0.0524 | 1.0 | 1908 | 17695 | 5.4 | |Z' -> ttbar [1750] GeV | 110906 | Pythia | 0.0211 | 1.0 | 4739 | 15949 | 5.1 | |Z' -> ttbar [2000] GeV | 110907 | Pythia | 0.00894 | 1.0 | 11186 | 14455 | 4.9 | |Z' -> ttbar [2250] GeV | 110908 | Pythia | 0.00394 | 1.0 | 25381 | 13389 | 4.7 | |Z' -> ttbar [2500] GeV | 110909 | Pythia | 0.00180 | 1.0 | 55556 | 12723 | 4.5 | |Z' -> ttbar [3000] GeV | 110910 | Pythia | 0.000434 | 1.0 | 230415 | 12387 | 4.3 | |gg-> H-> WW-> llnunu ; M(H) = 125 GeV | 161005 | PowHeg+Pythia | 6.463 | 1.0 | 32.13 | 100000 | 14 | |VBF H-> WW-> llnunu ; M(H) = 125 GeV | 161055 | PowHeg+Pythia | 0.819 | 1.0 | 229.93 | 100000 | 18 | |gg-> H-> ZZ -> 4l ; M(H) = 125 GeV | 160155 | PowHeg+Pythia | 13.17 | 1.0 | 14.31 | 100000 | 15 | |VBF H-> ZZ -> 4l ; M(H) = 125 GeV | 160205 | PowHeg+Pythia | 1.617 | 1.0 | 104.96 | 100000 | 19 |