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Precise measurement of the tt¯ production cross-section and lepton differential distributions in eμ dilepton events from s=13TeVpp collisions with the ATLAS detector.

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Title: Precise measurement of the tt¯ production cross-section and lepton differential distributions in eμ dilepton events from s=13TeVpp collisions with the ATLAS detector.
Authors: Aad, G.1 (AUTHOR), Aakvaag, E.2 (AUTHOR), Abbott, B.3 (AUTHOR), Abdelhameed, S.4 (AUTHOR), Abeling, K.5 (AUTHOR), Abicht, N. J.6 (AUTHOR), Abidi, S. H.7 (AUTHOR), Aboelela, M.8 (AUTHOR), Aboulhorma, A.9 (AUTHOR), Abramowicz, H.10 (AUTHOR), Abulaiti, Y.11 (AUTHOR), Acharya, B. S.12,13,14 (AUTHOR), Ackermann, A.15 (AUTHOR), Adam Bourdarios, C.16 (AUTHOR), Adamczyk, L.17 (AUTHOR), Addepalli, S. V.18 (AUTHOR), Addison, M. J.19 (AUTHOR), Adelman, J.20 (AUTHOR), Adiguzel, A.21 (AUTHOR), Adye, T.22 (AUTHOR)
Source: European Physical Journal C -- Particles & Fields. May2026, Vol. 86 Issue 5, p1-54. 54p.
Subjects: Top quarks, Measurement, Proton-proton interactions, Monte Carlo method, Large Hadron Collider, Particle detectors, Lepton number
Abstract: The inclusive top quark pair ( t t ¯ ) cross-section σ t t ¯ has been measured in proton–proton collisions at s = 13 TeV , using 140 fb - 1 of data collected by the ATLAS experiment at the Large Hadron Collider. Using events with an opposite-charge e μ pair and b-tagged jets, the cross-section is measured to be: σ t t ¯ = 829.3 ± 1.3 (stat) ± 8.0 (syst) ± 7.3 (lumi) ± 1.9 (beam) pb , where the uncertainties reflect the limited size of the data sample, experimental and theoretical systematic effects, the integrated luminosity, and the proton beam energy, giving a total uncertainty of 1.3%. The result is used to determine the top quark pole mass via the dependence of the predicted cross-section on m t pole , giving m t pole = 172. 8 - 1.7 + 1.5 GeV. The same event sample is used to measure absolute and normalised differential cross-sections for the t t ¯ → e μ ν ν ¯ b b ¯ process as a function of single-lepton and dilepton kinematic variables. Complementary measurements of e μ b b ¯ production, treating both t t ¯ and Wt events as signal, are also provided. Both sets of differential cross-sections are compared to the predictions of various Monte Carlo event generators, demonstrating that the state-of-the-art generators Powheg MiNNLO and Powhegbb4l describe the data better than Powheghvq. [ABSTRACT FROM AUTHOR]
Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Precise measurement of the tt¯ production cross-section and lepton differential distributions in eμ dilepton events from s=13TeVpp collisions with the ATLAS detector.
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  Data: <searchLink fieldCode="AR" term="%22Aad%2C+G%2E%22">Aad, G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aakvaag%2C+E%2E%22">Aakvaag, E.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abbott%2C+B%2E%22">Abbott, B.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abdelhameed%2C+S%2E%22">Abdelhameed, S.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abeling%2C+K%2E%22">Abeling, K.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abicht%2C+N%2E+J%2E%22">Abicht, N. J.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abidi%2C+S%2E+H%2E%22">Abidi, S. H.</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aboelela%2C+M%2E%22">Aboelela, M.</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aboulhorma%2C+A%2E%22">Aboulhorma, A.</searchLink><relatesTo>9</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abramowicz%2C+H%2E%22">Abramowicz, H.</searchLink><relatesTo>10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abulaiti%2C+Y%2E%22">Abulaiti, Y.</searchLink><relatesTo>11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Acharya%2C+B%2E+S%2E%22">Acharya, B. S.</searchLink><relatesTo>12,13,14</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ackermann%2C+A%2E%22">Ackermann, A.</searchLink><relatesTo>15</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adam+Bourdarios%2C+C%2E%22">Adam Bourdarios, C.</searchLink><relatesTo>16</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adamczyk%2C+L%2E%22">Adamczyk, L.</searchLink><relatesTo>17</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Addepalli%2C+S%2E+V%2E%22">Addepalli, S. V.</searchLink><relatesTo>18</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Addison%2C+M%2E+J%2E%22">Addison, M. J.</searchLink><relatesTo>19</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adelman%2C+J%2E%22">Adelman, J.</searchLink><relatesTo>20</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adiguzel%2C+A%2E%22">Adiguzel, A.</searchLink><relatesTo>21</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Adye%2C+T%2E%22">Adye, T.</searchLink><relatesTo>22</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Physical+Journal+C+--+Particles+%26+Fields%22">European Physical Journal C -- Particles & Fields</searchLink>. May2026, Vol. 86 Issue 5, p1-54. 54p.
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  Data: <searchLink fieldCode="DE" term="%22Top+quarks%22">Top quarks</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement%22">Measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Proton-proton+interactions%22">Proton-proton interactions</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Large+Hadron+Collider%22">Large Hadron Collider</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+detectors%22">Particle detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Lepton+number%22">Lepton number</searchLink>
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  Label: Abstract
  Group: Ab
  Data: The inclusive top quark pair ( t t ¯ ) cross-section σ t t ¯ has been measured in proton–proton collisions at s = 13 TeV , using 140 fb - 1 of data collected by the ATLAS experiment at the Large Hadron Collider. Using events with an opposite-charge e μ pair and b-tagged jets, the cross-section is measured to be: σ t t ¯ = 829.3 ± 1.3 (stat) ± 8.0 (syst) ± 7.3 (lumi) ± 1.9 (beam) pb , where the uncertainties reflect the limited size of the data sample, experimental and theoretical systematic effects, the integrated luminosity, and the proton beam energy, giving a total uncertainty of 1.3%. The result is used to determine the top quark pole mass via the dependence of the predicted cross-section on m t pole , giving m t pole = 172. 8 - 1.7 + 1.5 GeV. The same event sample is used to measure absolute and normalised differential cross-sections for the t t ¯ → e μ ν ν ¯ b b ¯ process as a function of single-lepton and dilepton kinematic variables. Complementary measurements of e μ b b ¯ production, treating both t t ¯ and Wt events as signal, are also provided. Both sets of differential cross-sections are compared to the predictions of various Monte Carlo event generators, demonstrating that the state-of-the-art generators Powheg MiNNLO and Powhegbb4l describe the data better than Powheghvq. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Physical Journal C -- Particles & Fields is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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