cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.155981.v1/t2
title: "Table 2" of "Differential cross-section measurements of $D^{\pm}$ and $D_{s}^{\pm}$ meson production in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector"

description: The measured differential cross-sections and the predictions from GM-VFNS and FONLL calculations for the $D^\pm$ meson in bins of $p_T$ for $|\eta| &lt; 2.5$. The statistical, systematic (excluding branching ratio) and branching ratio uncertainties are shown separately for data, while the total theory uncertainties are shown for GM-VFNS and FONLL.
description: The production of $D^{\pm}$ and $D_{s}^{\pm}$ charmed mesons is measured using the $D^{\pm}/D_{s}^{\pm} \to \phi(\mu\mu)\pi^{\pm}$ decay channel with 137 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected with the ATLAS detector at the Large Hadron Collider during the years 2016-2018. The charmed mesons are reconstructed in the range of transverse momentum $12 &lt; p_\mathrm{T} &lt; 100$ GeV and pseudorapidity $|\eta| &lt; 2.5$. The differential cross-sections are measured as a function of transverse momentum and pseudorapidity, respectively, and compared with next-to-leading-order QCD predictions. The predictions are found to be consistent with the measurements in the visible kinematic region within the large theoretical uncertainties.
DOI: 10.17182/hepdata.155981.v1/t3
title: "Table 3" of "Differential cross-section measurements of $D^{\pm}$ and $D_{s}^{\pm}$ meson production in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector"

description: The measured differential cross-sections and the predictions from the GM-VFNS calculation for the $D_s^\pm$ meson in bins of $|\eta|$. The statistical, systematic (excluding branching ratio) and branching ratio uncertainties are shown separately for data, while the total theory uncertainties are shown for GM-VFNS.
description: The production of $D^{\pm}$ and $D_{s}^{\pm}$ charmed mesons is measured using the $D^{\pm}/D_{s}^{\pm} \to \phi(\mu\mu)\pi^{\pm}$ decay channel with 137 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected with the ATLAS detector at the Large Hadron Collider during the years 2016-2018. The charmed mesons are reconstructed in the range of transverse momentum $12 &lt; p_\mathrm{T} &lt; 100$ GeV and pseudorapidity $|\eta| &lt; 2.5$. The differential cross-sections are measured as a function of transverse momentum and pseudorapidity, respectively, and compared with next-to-leading-order QCD predictions. The predictions are found to be consistent with the measurements in the visible kinematic region within the large theoretical uncertainties.
DOI: 10.17182/hepdata.155981.v1/t4
title: "Table 4" of "Differential cross-section measurements of $D^{\pm}$ and $D_{s}^{\pm}$ meson production in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector"

description: The measured differential cross-sections and the predictions from the GM-VFNS calculation for the $D_s^\pm$ meson in bins of $p_T$ for $|\eta| &lt; 2.5$. The statistical, systematic (excluding branching ratio) and branching ratio uncertainties are shown separately for data, while the total theory uncertainties are shown for GM-VFNS.
description: The production of $D^{\pm}$ and $D_{s}^{\pm}$ charmed mesons is measured using the $D^{\pm}/D_{s}^{\pm} \to \phi(\mu\mu)\pi^{\pm}$ decay channel with 137 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected with the ATLAS detector at the Large Hadron Collider during the years 2016-2018. The charmed mesons are reconstructed in the range of transverse momentum $12 &lt; p_\mathrm{T} &lt; 100$ GeV and pseudorapidity $|\eta| &lt; 2.5$. The differential cross-sections are measured as a function of transverse momentum and pseudorapidity, respectively, and compared with next-to-leading-order QCD predictions. The predictions are found to be consistent with the measurements in the visible kinematic region within the large theoretical uncertainties.
DOI: 10.17182/hepdata.155981.v1/t5
title: "Table 5" of "Differential cross-section measurements of $D^{\pm}$ and $D_{s}^{\pm}$ meson production in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector"

description: Inclusive $D^\pm$ meson production cross-sections in different fiducial volumes defined by $|\eta|&lt;2.5$ and different $p_T$ regions. For the ATLAS measurements, the statistical, systematic (excluding branching ratio) and branching ratio uncertainties are shown separately; for the theoretical predictions, the total theoretical uncertainties are shown.
description: The production of $D^{\pm}$ and $D_{s}^{\pm}$ charmed mesons is measured using the $D^{\pm}/D_{s}^{\pm} \to \phi(\mu\mu)\pi^{\pm}$ decay channel with 137 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected with the ATLAS detector at the Large Hadron Collider during the years 2016-2018. The charmed mesons are reconstructed in the range of transverse momentum $12 &lt; p_\mathrm{T} &lt; 100$ GeV and pseudorapidity $|\eta| &lt; 2.5$. The differential cross-sections are measured as a function of transverse momentum and pseudorapidity, respectively, and compared with next-to-leading-order QCD predictions. The predictions are found to be consistent with the measurements in the visible kinematic region within the large theoretical uncertainties.
DOI: 10.17182/hepdata.155981.v1/t6
title: "Table 6" of "Differential cross-section measurements of $D^{\pm}$ and $D_{s}^{\pm}$ meson production in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector"

description: Inclusive $D_s^\pm$ meson production cross-sections in different fiducial volumes defined by $|\eta|&lt;2.5$ and different $p_T$ regions. For the ATLAS measurements, the statistical, systematic (excluding branching ratio) and branching ratio uncertainties are shown separately; for the theoretical predictions, the total theoretical uncertainties are shown.
description: The production of $D^{\pm}$ and $D_{s}^{\pm}$ charmed mesons is measured using the $D^{\pm}/D_{s}^{\pm} \to \phi(\mu\mu)\pi^{\pm}$ decay channel with 137 fb$^{-1}$ of $\sqrt{s} = 13$ TeV proton-proton collision data collected with the ATLAS detector at the Large Hadron Collider during the years 2016-2018. The charmed mesons are reconstructed in the range of transverse momentum $12 &lt; p_\mathrm{T} &lt; 100$ GeV and pseudorapidity $|\eta| &lt; 2.5$. The differential cross-sections are measured as a function of transverse momentum and pseudorapidity, respectively, and compared with next-to-leading-order QCD predictions. The predictions are found to be consistent with the measurements in the visible kinematic region within the large theoretical uncertainties.
DOI: 10.17182/hepdata.156054.v1/t1
title: "Limits Q* -&gt; q Wprime " of "Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Exclusion limits on the production cross section of the Q* -&gt; q Wprime model from the different anomaly detection methods
description: This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8--6 TeV.The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions.Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure.A collection of complementary anomaly detection methods---based on unsupervised, weakly supervised, and semisupervised algorithms---are used in order to maximize the sensitivity to unknown new physics signatures.These algorithms are applied to data corresponding to an integrated luminosity of 138 fb$-1$, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV.No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure.Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.
DOI: 10.17182/hepdata.156054.v1/t2
title: "Limits X -&gt; Y Yprime" of "Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Exclusion limits on the production cross section of the X -&gt; Y Yprime model from the different anomaly detection methods
description: This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8--6 TeV.The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions.Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure.A collection of complementary anomaly detection methods---based on unsupervised, weakly supervised, and semisupervised algorithms---are used in order to maximize the sensitivity to unknown new physics signatures.These algorithms are applied to data corresponding to an integrated luminosity of 138 fb$-1$, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV.No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure.Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.
DOI: 10.17182/hepdata.156054.v1/t3
title: "Limits Wprime -&gt; Bprime t" of "Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Exclusion limits on the production cross section of the Wprime -&gt; Bprime t model from the different anomaly detection methods
description: This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8--6 TeV.The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions.Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure.A collection of complementary anomaly detection methods---based on unsupervised, weakly supervised, and semisupervised algorithms---are used in order to maximize the sensitivity to unknown new physics signatures.These algorithms are applied to data corresponding to an integrated luminosity of 138 fb$-1$, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV.No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure.Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.
DOI: 10.17182/hepdata.156054.v1/t4
title: "Limits Wkk -&gt; WR" of "Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Exclusion limits on the production cross section of the Wkk -&gt; WR model from the different anomaly detection methods
description: This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8--6 TeV.The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions.Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure.A collection of complementary anomaly detection methods---based on unsupervised, weakly supervised, and semisupervised algorithms---are used in order to maximize the sensitivity to unknown new physics signatures.These algorithms are applied to data corresponding to an integrated luminosity of 138 fb$-1$, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV.No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure.Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.
DOI: 10.17182/hepdata.156054.v1/t5
title: "Limits G -&gt; HH" of "Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Exclusion limits on the production cross section of the G -&gt; HH model from the different anomaly detection methods
description: This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8--6 TeV.The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions.Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure.A collection of complementary anomaly detection methods---based on unsupervised, weakly supervised, and semisupervised algorithms---are used in order to maximize the sensitivity to unknown new physics signatures.These algorithms are applied to data corresponding to an integrated luminosity of 138 fb$-1$, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV.No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure.Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.
DOI: 10.17182/hepdata.156054.v1/t6
title: "VAE-QR model indep. limits" of "Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Exclusion limits on the production cross section times acceptance times efficiency for generic Double Crystal Ball signal shape from the VAE-QR method
description: This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8--6 TeV.The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions.Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure.A collection of complementary anomaly detection methods---based on unsupervised, weakly supervised, and semisupervised algorithms---are used in order to maximize the sensitivity to unknown new physics signatures.These algorithms are applied to data corresponding to an integrated luminosity of 138 fb$-1$, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV.No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure.Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.
DOI: 10.17182/hepdata.156054.v1/t7
title: "CWoLa Hunting model indep. limits" of "Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Exclusion limits on the production cross section times acceptance times efficiency for generic Double Crystal Ball signal shape from the CWoLa Hunting method
description: This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8--6 TeV.The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions.Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure.A collection of complementary anomaly detection methods---based on unsupervised, weakly supervised, and semisupervised algorithms---are used in order to maximize the sensitivity to unknown new physics signatures.These algorithms are applied to data corresponding to an integrated luminosity of 138 fb$-1$, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV.No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure.Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.
DOI: 10.17182/hepdata.156054.v1/t8
title: "TNT model indep. limits" of "Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Exclusion limits on the production cross section times acceptance times efficiency for generic Double Crystal Ball signal shape from the TNT method
description: This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8--6 TeV.The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions.Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure.A collection of complementary anomaly detection methods---based on unsupervised, weakly supervised, and semisupervised algorithms---are used in order to maximize the sensitivity to unknown new physics signatures.These algorithms are applied to data corresponding to an integrated luminosity of 138 fb$-1$, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV.No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure.Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.
DOI: 10.17182/hepdata.156054.v1/t9
title: "CATHODE model indep. limits" of "Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Exclusion limits on the production cross section times acceptance times efficiency for generic Double Crystal Ball signal shape from the CATHODE method
description: This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8--6 TeV.The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions.Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure.A collection of complementary anomaly detection methods---based on unsupervised, weakly supervised, and semisupervised algorithms---are used in order to maximize the sensitivity to unknown new physics signatures.These algorithms are applied to data corresponding to an integrated luminosity of 138 fb$-1$, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV.No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure.Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.
DOI: 10.17182/hepdata.156054.v1/t10
title: "CATHODE-b model indep. limits" of "Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV"

description: Exclusion limits on the production cross section times acceptance times efficiency for generic Double Crystal Ball signal shape from the CATHODE-b method
description: This paper presents a model-agnostic search for narrow resonances in the dijet final state in the mass range 1.8--6 TeV.The signal is assumed to produce jets with substructure atypical of jets initiated by light quarks or gluons, with minimal additional assumptions.Search regions are obtained by utilizing multivariate machine-learning methods to select jets with anomalous substructure.A collection of complementary anomaly detection methods---based on unsupervised, weakly supervised, and semisupervised algorithms---are used in order to maximize the sensitivity to unknown new physics signatures.These algorithms are applied to data corresponding to an integrated luminosity of 138 fb$-1$, recorded by the CMS experiment at the LHC, at a center-of-mass energy of 13 TeV.No significant excesses above background expectations are seen. Exclusion limits are derived on the production cross section of benchmark signal models varying in resonance mass, jet mass, and jet substructure.Many of these signatures have not been previously sought, making several of the limits reported on the corresponding benchmark models the first ever. When compared to benchmark inclusive and substructure-based search strategies, the anomaly detection methods are found to significantly enhance the sensitivity to a variety of models.