| • • • We do not use the following data for averages, fits, limits, etc. • • • |
| $111$ $\pm13$ ${}^{+11}_{-9}$ |
1 |
|
CMS |
| $600$ $\pm170$ $\pm140$ |
2 |
|
ATLS |
| $123$ ${}^{+33}_{-31}$ ${}^{+29}_{-23}$ |
3 |
|
CMS |
|
1
SIRUNYAN 2019BF based on 77.4 fb${}^{-1}$ of data. Two BDT's are used in the analysis: one to discriminate prompt leptons from non-prompt ones; and one to discriminate ${{\mathit t}}{{\mathit Z}}{{\mathit q}}$ signal from backgrounds. The result is for the cross section ${\mathit \sigma (}$ ${{\mathit p}}$ ${{\mathit p}}$ $\rightarrow$ ${{\mathit t}}{{\mathit Z}}{{\mathit q}}$ $\rightarrow$ ${{\mathit t}}{{\mathit \ell}^{+}}{{\mathit \ell}^{-}}{{\mathit q}}{)}$ for dilepton invariant masses above 30 GeV and is consistent with the NLO SM prediction of $94.2$ $\pm3.1$ fb.
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2
AABOUD 2018AE based on 36.1 fb${}^{-1}$ of data. A multivariate analysis is used to separate the signal from the backgrounds. The result is consistent with the NLO SM prediction of $800$ fb with a scale uncertainty of ${}^{+6.1}_{-7.4}\%$.
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|
3
SIRUNYAN 2018Z based on 35.9 fb${}^{-1}$ of data. A multivariate analysis is used to separate the signal from the backgrounds. The result is for the cross section ${\mathit \sigma (}$ ${{\mathit p}}$ ${{\mathit p}}$ $\rightarrow$ ${{\mathit t}}{{\mathit Z}}{{\mathit q}}$ $\rightarrow$ ${{\mathit W}}{{\mathit b}}{{\mathit \ell}^{+}}{{\mathit \ell}^{-}}{{\mathit q}}{)}$ and is consistent with the NLO SM prediction of $94.2$ ${}^{+1.9}_{-1.8}$(scale)$~\pm2.5$(PDF) fb. Superseded by SIRUNYAN 2019BF.
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