${{\mathit Z}}{{\mathit t}}$ Production Cross Section in ${{\mathit p}}{{\mathit p}}$ Collisions at $\sqrt {s }$ = 13 TeV

INSPIRE   PDGID:
Q007ZTX
VALUE (fb) DOCUMENT ID TECN  COMMENT
• • We do not use the following data for averages, fits, limits, etc. • •
$87.9$ ${}^{+7.5}_{-7.3}$ ${}^{+7.3}_{-6.0}$ 1
TUMASYAN
2022L
 CMS 3${{\mathit \ell}}$ + ${}\geq{}$2j (${}\geq{}1{{\mathit b}}$j)
$97$ $\pm13$ $\pm7$ 2
AAD
2020AB
 ATLS 3${{\mathit \ell}}$ + 1,2j + 1${{\mathit b}}$j
$111$ $\pm13$ ${}^{+11}_{-9}$ 3
SIRUNYAN
2019BF
 CMS 3${{\mathit \ell}}$ + ${}\geq{}$2j (${}\geq{}1{{\mathit b}}$j)
$600$ $\pm170$ $\pm140$ 4
AABOUD
2018AE
 ATLS 3${{\mathit \ell}}$ + 1j + 1${{\mathit b}}$j
$123$ ${}^{+33}_{-31}$ ${}^{+29}_{-23}$ 5
SIRUNYAN
2018Z
 CMS 3${{\mathit \ell}}$ + 1j + 1${{\mathit b}}$j
1  TUMASYAN 2022L based on 138 fb${}^{-1}$ of data at 13 TeV. The result is for a dilepton invariant masses above 30 GeV. It agrees with the NLO SM prediction of $94.2$ ${}^{+1.9}_{-1.8}$(scale)$\pm2.5$(PDF) fb. The ratio of ${{\mathit t}}$ and ${{\overline{\mathit t}}}$ production cross sections is measured as $2.37$ ${}^{+0.56}_{-0.42}{}^{+0.27}_{-0.13}$. The spin asymmetry is measured to be $0.54$ $\pm0.16$ $\pm0.06$. Both measurements are in agreement with the SM predictions.
2  AAD 2020AB based on 139 fb${}^{-1}$ of data at 13 TeV. Neural networks are used to discriminate ${{\mathit t}}{{\mathit Z}}{{\mathit q}}$ signal from backgrounds. The result is for the cross section ${\mathit \sigma (}$ ${{\mathit p}}$ ${{\mathit p}}$ $\rightarrow$ ${{\mathit t}}{{\mathit \ell}^{+}}{{\mathit \ell}^{-}}{{\mathit q}}{)}$, including non-resonant dilepton pairs, for dilepton invariant masses above 30 GeV and is consistent with the NLO SM prediction of $102$ ${}^{+5}_{-2}$ fb.
3  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.
4  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 ${}^{+6.1}_{-7.4}\%$.
5  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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