cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.104860.v1/t84
title: "Acceptance/Efficiency: 13" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Acceptance and efficiency for the or the electroweakino production model in the EWK analysis discovery SR for the $1\ell$ category with 8 jets, considering $\tilde{\chi}^{\pm}_1 \tilde{\chi}^0_1$ production.
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t86
title: "Acceptance/Efficiency: 15" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Acceptance and efficiency for the or the electroweakino production model in the EWK analysis discovery SR for the $1\ell$ category with 4 jets, considering $\tilde{\chi}^0_1 \tilde{\chi}^0_2$ production.
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t88
title: "Acceptance/Efficiency: 17" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Acceptance and efficiency for the or the electroweakino production model in the EWK analysis discovery SR for the $1\ell$ category with 6 jets, considering $\tilde{\chi}^0_1 \tilde{\chi}^0_2$ production.
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t89
title: "Acceptance/Efficiency: 18" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Acceptance and efficiency for the or the electroweakino production model in the EWK analysis discovery SR for the $1\ell$ category with 7 jets, considering $\tilde{\chi}^0_1 \tilde{\chi}^0_2$ production.
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t85
title: "Acceptance/Efficiency: 14" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Acceptance and efficiency for the or the electroweakino production model in the EWK analysis discovery SR for the $2\ell^{\mathrm{sc}}$ category, considering $\tilde{\chi}^{\pm}_1 \tilde{\chi}^0_1$ production.
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t90
title: "Acceptance/Efficiency: 19" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Acceptance and efficiency for the or the electroweakino production model in the EWK analysis discovery SR for the $1\ell$ category with 8 jets, considering $\tilde{\chi}^0_1 \tilde{\chi}^0_2$ production.
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t91
title: "Acceptance/Efficiency: 20" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Acceptance and efficiency for the or the electroweakino production model in the EWK analysis discovery SR for the $2\ell^{\mathrm{sc}}$ category, considering $\tilde{\chi}^0_1 \tilde{\chi}^0_2$ production.
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t92
title: "Cutflow: 1" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Cut flow for the gluino $\tilde{g}\rightarrow q\bar{q}\tilde{\chi}^0_1\rightarrow q\bar{q}q\bar{q} \ell\nu$ model with $m_{\tilde{g}} = 2$ TeV and $m_{\tilde{\chi}^0_1} = 1$ TeV. The column labelled $\mathrm{N}_{\mathrm{raw}}$ shows the number of generated events, while $\mathrm{N}_{\mathrm{events}}$ shows the expected number of events with a luminosity of 139fb$^{−1}$. The last column shows the cut flow efficiency with respect to all weighted events. The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies $p_{\mathrm{T}} &gt; 25$ GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed. Selections that have not been evaluated in the analysis or are not applicable are denoted with a dash (--).
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t93
title: "Cutflow: 2" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Cut flow for the gluino $\tilde{g}\rightarrow \bar{t}\tilde{t} \rightarrow \bar{t}\bar{b}\bar{s}$ model with with $m_{\tilde{g}} = 1.6$ TeV and $m_{\tilde{t}} = 1$ TeV. The column labelled $\mathrm{N}_{\mathrm{raw}}$ shows the number of generated events, while $\mathrm{N}_{\mathrm{events}}$ shows the expected number of events with a luminosity of 139fb$^{−1}$. The last column shows the cut flow efficiency with respect to all weighted events. The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies $p_{\mathrm{T}} &gt; 25$ GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed. Selections that have not been evaluated in the analysis or are not applicable are denoted with a dash (--).
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t94
title: "Cutflow: 3" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Cut flow for the gluino $\tilde{g}\rightarrow t\bar{t}\tilde{\chi}^0_1 \rightarrow t\bar{t} tbs$ model with $m_{\tilde{g}} = 2.2$ TeV and $m_{\tilde{\chi}^0_1} = 1.05$ TeV. The column labelled $\mathrm{N}_{\mathrm{raw}}$ shows the number of generated events, while $\mathrm{N}_{\mathrm{events}}$ shows the expected number of events with a luminosity of 139fb$^{−1}$. The last column shows the cut flow efficiency with respect to all weighted events. The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies $p_{\mathrm{T}} &gt; 25$ GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed. Selections that have not been evaluated in the analysis or are not applicable are denoted with a dash (--).
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t95
title: "Cutflow: 4" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Cut flow for the stop model with $m_{\tilde{t}} = 1.175$ TeV and $m_{\tilde{\chi}^0_1} = 0.7$ TeV. The column labelled $\mathrm{N}_{\mathrm{raw}}$ shows the number of generated events, while $\mathrm{N}_{\mathrm{events}}$ shows the expected number of events with a luminosity of 139fb$^{−1}$. The last column shows the cut flow efficiency with respect to all weighted events. The events are skimmed by requiring at least one electron or muon that satisfies very loose identification criteria, where the lepton satisfies $p_{\mathrm{T}} &gt; 25$ GeV. The efficiency of this cut is considered in the quoted efficiency of the lepton trigger requirement. Selections with negligible inefficiencies on the given sample, such as data quality requirements, are not displayed. Selections that have not been evaluated in the analysis or are not applicable are denoted with a dash (--).
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.
DOI: 10.17182/hepdata.104860.v1/t87
title: "Acceptance/Efficiency: 16" of "Search for R-parity violating supersymmetry in a final state containing leptons and many jets with the ATLAS experiment using $\sqrt{s} = 13$ TeV proton-proton collision data"

description: Acceptance and efficiency for the or the electroweakino production model in the EWK analysis discovery SR for the $1\ell$ category with 5 jets, considering $\tilde{\chi}^0_1 \tilde{\chi}^0_2$ production.
description: CERN-LHC.

A search for R-parity violating supersymmetry in final states characterised by high jet multiplicity, at least one isolated light lepton and either zero or at least three $b$-tagged jets is presented. The search uses 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected by the ATLAS experiment during Run 2 of the Large Hadron Collider. The results are interpreted in the context of R-parity-violating supersymmetry models that feature gluino production, top-squark production, or electroweakino production. The dominant sources of background are estimated using a data-driven model, based on observables at medium jet multiplicity, to predict the $b$-tagged jet multiplicity distribution at the higher jet multiplicities used in the search. Machine learning techniques are used to reach sensitivity to electroweakino production, extending the data-driven background estimation to the shape of the machine learning discriminant. No significant excess over the Standard Model expectation is observed and exclusion limits at the 95% confidence-level are extracted, reaching as high as 2.4 TeV in gluino mass, 1.35 TeV in top-squark mass, and 320 (365) GeV in higgsino (wino) mass.