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

INSPIRE   PDGID:
Q007D13
VALUE (fb) CL% DOCUMENT ID TECN  COMMENT
• • We do not use the following data for averages, fits, limits, etc. • •
$22.5$ ${}^{+6.6}_{-5.5}$ 1
AAD
2023BC
ATLS (same-sign 2${{\mathit \ell}}$) or ${}\geq{}3{{\mathit \ell}}$
$17.7$ ${}^{+3.7}_{-3.5}$ ${}^{+2.3}_{-1.9}$ 2
HAYRAPETYAN
2023B
CMS (same-sign 2${{\mathit \ell}}$), 3${{\mathit \ell}}$, 4${{\mathit \ell}}$
$36$ ${}^{+12}_{-11}$ 3
TUMASYAN
2023AQ
CMS (0,1 ${{\mathit \ell}}$) + (${{\mathit \ell}^{\pm}}{{\mathit \ell}^{\mp}}$) channels
$17$ $\pm4$ $\pm3$ 4
TUMASYAN
2023AQ
CMS CMS combined
$26$ ${}^{+17}_{-15}$ 5
AAD
2021BC
ATLS ${{\mathit \ell}}$ or ${{\mathit \ell}^{+}}{{\mathit \ell}^{-}}$ + jets
$24$ ${}^{+7}_{-6}$ 6
AAD
2021BC
ATLS combination of 1${{\mathit \ell}}/2{{\mathit \ell}}$(OS) and 2${{\mathit \ell}}(SS)/3{{\mathit \ell}}$
$24$ ${}^{+7}_{-6}$ 7
AAD
2020AR
ATLS (same-sign 2${{\mathit \ell}}$) or ${}\geq{}3{{\mathit \ell}}$ + jets
$12.6$ ${}^{+5.8}_{-5.2}$ 8
SIRUNYAN
2020C
CMS (same-sign 2${{\mathit \ell}}$) or 3${{\mathit \ell}}$ + jets
$<47$ 95 9
AABOUD
2019AP
ATLS ${{\mathit \ell}}$ + ${{\mathit \ell}^{+}}{{\mathit \ell}^{-}}$ channels
$<49$ 95 10
AABOUD
2019AP
ATLS combination of ATLAS
$13$ ${}^{+11}_{-9}$ 11
SIRUNYAN
2019CN
CMS combination of CMS
$<48$ 95 12
SIRUNYAN
2019CN
CMS ${{\mathit \ell}}$+jets, ${{\mathit \ell}^{+}}{{\mathit \ell}^{-}}$+jets channels
$<69$ 95 13
AABOUD
2018CE
ATLS ${}\geq{}2{{\mathit \ell}}$(same sign) + $\not E_T$ + ${}\geq{}1{{\mathit b}}$j
$16.9$ ${}^{+13.8}_{-11.4}$ 14
SIRUNYAN
2018BU
CMS ${{\mathit t}}$ ${{\overline{\mathit t}}}$ ${{\mathit t}}$ ${{\overline{\mathit t}}}$ $\rightarrow$(same sign 2${{\mathit \ell}}$ or ${}\geq{}3{{\mathit \ell}}$) + ${}\geq{}$4 j (${}\geq{}2{{\mathit b}}$)
$<94$ 95 15
SIRUNYAN
2017AB
CMS ${{\mathit \ell}}$+jets, ${{\mathit \ell}^{+}}{{\mathit \ell}^{-}}$+jets channels
$<42$ 95 16
SIRUNYAN
2017S
CMS (same sign 2${{\mathit \ell}})+\not E_T+{}\geq{}$2j
1  AAD 2023BC result is based on 140 fb${}^{-1}$ of data. The result corresponds to observed significance of 6.1 $\sigma $.
2  HAYRAPETYAN 2023B based on 138 fb${}^{-1}$ of data. Improvements include the identification of leptons and jets from ${{\mathit b}}$ hadrons, and from the revised analysis strategy for the signal-background separation by application of machine learning techniques. The result corresponds to the observed significance of 5.6 $\sigma $ and is in agreement with the NLO (QCD+EW) SM prediction of $13.4$ ${}^{+1.0}_{-1.8}$ fb including soft-gluon emission corrections at the next-to-leading logarithmic accuracy.
3  TUMASYAN 2023AQ based on up to 138 fb${}^{-1}$ of data. The all-hadronic final state is included for the first time.
4  TUMASYAN 2023AQ based on up to 138 fb${}^{-1}$ of data. It combines earlier CMS results, giving the observed significance of 4.0$\sigma $.
5  AAD 2021BC result is based on 139 fb${}^{-1}$ of data. The events are categorized according to the number of jets and how likely to contain ${{\mathit b}}$-hadrons and a multivariate analysis is used to discriminate the signal from backgrounds. The result corresponds to observed significance of 1.9 $\sigma $.
6  AAD 2021BC combines the results of the four-top-quark production cross section measured from the 1${{\mathit \ell}}$/opposite-sign 2${{\mathit \ell}}$ channel with that from the same-sign 2${{\mathit \ell}}/3{{\mathit \ell}}$ channel (AAD 2020AR). The result corresponds to observed significance of 4.7 $\sigma $ and is consistent within 2.0 $\sigma $ with the NLO (QCD+EW) SM prediction of $12.0$ $\pm2.4$ fb.
7  AAD 2020AR based on 139 fb${}^{-1}$ of data. Jet multiplicity, jet flavor and event kinematics are used in a multivariate analysis to discriminate the signal from backgrounds. The result corresponds to observed significance of 4.3$\sigma $ and is consistent within 1.7$\sigma $ with the NLO (QCD+EW) SM prediction of $12.0$ $\pm2.4$ fb.
8  SIRUNYAN 2020C based on 137 fb${}^{-1}$ of data. Both cut-based and multivariate approaches are taken to discriminate the signal from backgrounds. The result is in agreement with the NLO (QCD+EW) SM prediction of $12.0$ ${}^{+2.2}_{-2.5}$ fb. The measurement constrains the top quark Yukawa coupling strength parameter to be $\vert {{\mathit Y}_{{{t}}}}/{{\mathit Y}_{{{t}}}^{SM}}\vert $ $<$ 1.7 (95$\%$ CL). It is also used to constrain an oblique parameter of the Higgs boson. Superseded by HAYRAPETYAN 2023B.
9  AABOUD 2019AP based on 36.1 fb${}^{-1}$ of data. The upper limit corresponds to 5.1 times the NLO SM cross section.
10  AABOUD 2019AP limit from data combined with AABOUD 2018CE. The upper limit corresponds to 5.3 times the NLO SM cross section. Also a limit on the four-top-quark contact interaction of $\vert \mathit C_{4t}\vert /\Lambda {}^{2}$ $<$ 1.9 TeV${}^{-2}$ (95$\%$ CL) is obtained in an EFT model.
11  SIRUNYAN 2019CN based on 35.8 fb${}^{-1}$ of data, combined with SIRUNYAN 2018BU. The results are also interpreted in the effective field theory framework.
12  SIRUNYAN 2019CN based on 35.8 fb${}^{-1}$ of data. A multivariate analysis using global event and jet propoerties is performed to discriminate from ${{\mathit t}}{{\overline{\mathit t}}}$ background.
13  AABOUD 2018CE based on 36.1 fb${}^{-1}$ of proton-proton data taken at $\sqrt {s }$ = 13 TeV. Events including a same-sign lepton pair are used. The result is consistent with the NLO SM cross section of 9.2 fb.
14  SIRUNYAN 2018BU based on 35.9 fb${}^{-1}$ of proton-proton data taken at $\sqrt {s }$ = 13 TeV. Yields from signal regions and control regions defined based on ${{\mathit N}_{{{jets}}}}$, ${{\mathit N}_{{{b}}}}$ and ${{\mathit N}_{{{l}}}}$ are combined in a maximum-likelihood fit. The result is in agreement with the NLO SM prediction $9.2$ ${}^{+2.9}_{-2.4}$ fb. The measurement constrains the top quark Yukawa coupling strength parameter to be $\vert \mathit Y_{t}/\mathit Y{}^{SM}_{t}\vert $ $<$ 2.1 (95$\%$ CL).
15  SIRUNYAN 2017AB based on 2.6 fb${}^{-1}$ of data. A multivariate analysis is used to discriminate between ${{\mathit t}}{{\overline{\mathit t}}}{{\mathit t}}{{\overline{\mathit t}}}$ signal and ${{\mathit t}}{{\overline{\mathit t}}}$ background. A combination with a previous search (CMS, KHACHATRYAN 2016BJ) in the same-sign dilepton channel gives an upper limit of 69 fb (95$\%$ CL), corresponding to 7.4$\cdot{}$(SM prediction).
16  SIRUNYAN 2017S based on 35.9 fb${}^{-1}$. The limit is in agreement with the NLO SM prediction $9.2$ ${}^{+2.9}_{-2.4}$ fb. Superseded by SIRUNYAN 2018BU. The signal events are also used to constrain various new physics models.
References