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

INSPIRE   JSON  (beta) PDGID:
Q007ZTX
Q007ZTX
VALUE (fb) DOCUMENT ID TECN  COMMENT
• • We do not use the following data for averages, fits, limits, etc. • •
$810$ $\pm70$ $\pm60$ 1
HAYRAPETYAN
2025S
 
CMS 70 $<$ ${\mathit m}_{{{\mathit \ell}^{+}} {{\mathit \ell}^{-}}}<$ 110 GeV
$87.9$ ${}^{+7.5}_{-7.3}$ ${}^{+7.3}_{-6.0}$ 2
TUMASYAN
2022L
 
CMS 3${{\mathit \ell}}$ + ${}\geq{}$2j (${}\geq{}1{{\mathit b}}$j)
$97$ $\pm13$ $\pm7$ 3
AAD
2020AB
 
ATLS 3${{\mathit \ell}}$ + 1,2j + 1${{\mathit b}}$j
$111$ $\pm13$ ${}^{+11}_{-9}$ 4
SIRUNYAN
2019BF
 
CMS 3${{\mathit \ell}}$ + ${}\geq{}$2j (${}\geq{}1{{\mathit b}}$j)
$600$ $\pm170$ $\pm140$ 5
AABOUD
2018AE
 
ATLS 3${{\mathit \ell}}$ + 1j + 1${{\mathit b}}$j
$123$ ${}^{+33}_{-31}$ ${}^{+29}_{-23}$ 6
SIRUNYAN
2018Z
 
CMS 3${{\mathit \ell}}$ + 1j + 1${{\mathit b}}$j
1  HAYRAPETYAN 2025S based on 138 fb${}^{-1}$ of data. Events with 3 or more leptons are used. It is in agreement with the NLO SM prediction of $820$ $\pm50$ fb.
2  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.
3  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.
4  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.
5  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 ${}^{+6.1}_{-7.4}\%$.
6  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.
References