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 |