cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.68119.v1/t3
title: "Table 3" of "Measurement of the flavour composition of dijet events in pp collisions at sqrt{s}=7 TeV with the ATLAS detector"

description: No description provided.
description: CERN-LHC. This paper describes a measurement of the flavour composition of dijet events produced in pp collisions at sqrt{s}=7 TeV using the ATLAS detector. The measurement uses the full 2010 data sample, corresponding to an integrated luminosity of 39 pb^-1. Six possible combinations of light, charm and bottom jets are identified in the dijet events, where the jet flavour is defined by the presence of bottom, charm or solely light flavour hadrons in the jet. Kinematic variables, based on the properties of displaced decay vertices and optimised for jet flavour identification, are used in a multidimensional template fit to measure the fractions of these dijet flavour states as functions of the leading jet transverse momentum in the range 40 GeV to 500 GeV and jet rapidity |y| &lt; 2.1. The fit results agree with the predictions of leading- and next-to-leading-order calculations, with the exception of the dijet fraction composed of bottom and light flavour jets, which is underestimated by all models at large transverse jet momenta. The ability to identify jets containing two b-hadrons, originating from e.g. gluon splitting, is demonstrated. The difference between bottom jet production rates in leading and subleading jets is consistent with the next-to-leading-order predictions.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68119.v1/t4
title: "Table 4" of "Measurement of the flavour composition of dijet events in pp collisions at sqrt{s}=7 TeV with the ATLAS detector"

description: No description provided.
description: CERN-LHC. This paper describes a measurement of the flavour composition of dijet events produced in pp collisions at sqrt{s}=7 TeV using the ATLAS detector. The measurement uses the full 2010 data sample, corresponding to an integrated luminosity of 39 pb^-1. Six possible combinations of light, charm and bottom jets are identified in the dijet events, where the jet flavour is defined by the presence of bottom, charm or solely light flavour hadrons in the jet. Kinematic variables, based on the properties of displaced decay vertices and optimised for jet flavour identification, are used in a multidimensional template fit to measure the fractions of these dijet flavour states as functions of the leading jet transverse momentum in the range 40 GeV to 500 GeV and jet rapidity |y| &lt; 2.1. The fit results agree with the predictions of leading- and next-to-leading-order calculations, with the exception of the dijet fraction composed of bottom and light flavour jets, which is underestimated by all models at large transverse jet momenta. The ability to identify jets containing two b-hadrons, originating from e.g. gluon splitting, is demonstrated. The difference between bottom jet production rates in leading and subleading jets is consistent with the next-to-leading-order predictions.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68119.v1/t5
title: "Table 5" of "Measurement of the flavour composition of dijet events in pp collisions at sqrt{s}=7 TeV with the ATLAS detector"

description: No description provided.
description: CERN-LHC. This paper describes a measurement of the flavour composition of dijet events produced in pp collisions at sqrt{s}=7 TeV using the ATLAS detector. The measurement uses the full 2010 data sample, corresponding to an integrated luminosity of 39 pb^-1. Six possible combinations of light, charm and bottom jets are identified in the dijet events, where the jet flavour is defined by the presence of bottom, charm or solely light flavour hadrons in the jet. Kinematic variables, based on the properties of displaced decay vertices and optimised for jet flavour identification, are used in a multidimensional template fit to measure the fractions of these dijet flavour states as functions of the leading jet transverse momentum in the range 40 GeV to 500 GeV and jet rapidity |y| &lt; 2.1. The fit results agree with the predictions of leading- and next-to-leading-order calculations, with the exception of the dijet fraction composed of bottom and light flavour jets, which is underestimated by all models at large transverse jet momenta. The ability to identify jets containing two b-hadrons, originating from e.g. gluon splitting, is demonstrated. The difference between bottom jet production rates in leading and subleading jets is consistent with the next-to-leading-order predictions.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68119.v1/t6
title: "Table 6" of "Measurement of the flavour composition of dijet events in pp collisions at sqrt{s}=7 TeV with the ATLAS detector"

description: No description provided.
description: CERN-LHC. This paper describes a measurement of the flavour composition of dijet events produced in pp collisions at sqrt{s}=7 TeV using the ATLAS detector. The measurement uses the full 2010 data sample, corresponding to an integrated luminosity of 39 pb^-1. Six possible combinations of light, charm and bottom jets are identified in the dijet events, where the jet flavour is defined by the presence of bottom, charm or solely light flavour hadrons in the jet. Kinematic variables, based on the properties of displaced decay vertices and optimised for jet flavour identification, are used in a multidimensional template fit to measure the fractions of these dijet flavour states as functions of the leading jet transverse momentum in the range 40 GeV to 500 GeV and jet rapidity |y| &lt; 2.1. The fit results agree with the predictions of leading- and next-to-leading-order calculations, with the exception of the dijet fraction composed of bottom and light flavour jets, which is underestimated by all models at large transverse jet momenta. The ability to identify jets containing two b-hadrons, originating from e.g. gluon splitting, is demonstrated. The difference between bottom jet production rates in leading and subleading jets is consistent with the next-to-leading-order predictions.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68126.v1/t1
title: "Table 1" of "Measurement of the inelastic proton-proton cross section at sqrt(s) = 7 TeV"

description: $\sigma_\text{inel}$ at $\sqrt{s}=7$ TeV $\xi&gt;5x10^{-6}$.
description: CERN-LHC. A measurement is presented of the inelastic proton-proton cross section at a centre-of-mass energy of sqrt(s) = 7 TeV. Using the CMS detector at the LHC, the inelastic cross section is measured through two independent methods based on information from (i) forward calorimetry (for pseudorapidity 3 &lt; abs(eta) &lt; 5), in collisions where at least one proton loses more than 5E-6 of its longitudinal momentum, and (ii) the central tracker (abs(eta) &lt; 2.4), in collisions containing an interaction vertex with more than 1, 2, or 3 tracks with transverse momenta pT &gt; 200 MeV. The measurements cover a large fraction of the inelastic cross section for particle production over about 9 units of pseudorapidity and down to small transverse momenta. The results are compared with those of other experiments, and with models used to describe high-energy hadronic interactions.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t1
title: "Table 1" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Mean $p_T$, all charged particles.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t2
title: "Table 2" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Mean $p_T$, UE charged particles.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t3
title: "Table 3" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Mean $p_T$, in-jet charged particles.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t4
title: "Table 4" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Mean $p_T$, leading in-jet charged particle.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t5
title: "Table 5" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Mean $p_T$, charged particle jets, $p^{ch.jet}_T &gt; 5$ GeV, $|\eta^{ch.jet}| &lt; 1.9$.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t6
title: "Table 6" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Charged jet rate, $p^\text{ch.jet}_T &gt; 5$ GeV, $|\eta^{ch.jet}| &lt; 1.9$.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t7
title: "Table 7" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Charged jet rate, $p^\text{ch.jet}_T &gt; 30$ GeV, $|\eta^{ch.jet}| &lt; 1.9$.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t8
title: "Table 8" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Jet $p_T$ spectrum, $|\eta^{ch.jet}| &lt; 1.9$, $10 &lt; N_\text{ch} \le 30$.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t9
title: "Table 9" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Jet $p_T$ spectrum, $|\eta^{ch.jet}| &lt; 1.9$, $30 &lt; N_\text{ch} \le 50$.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t10
title: "Table 10" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Jet $p_T$ spectrum, $|\eta^{ch.jet}| &lt; 1.9$, $50 &lt; N_\text{ch} \le 80$.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.
DOI: 10.17182/hepdata.68128.v1/t11
title: "Table 11" of "Jet and underlying event properties as a function of particle multiplicity in proton-proton collisions at sqrt(s) = 7 TeV"

description: Jet $p_T$ spectrum, $|\eta^{ch.jet}| &lt; 1.9$, $80 &lt; N_\text{ch} \le 110$.
description: CERN-LHC. Characteristics of multi-particle production in proton-proton collisions at $\sqrt{s}$=7 TeV are studied as a function of the charged-particle multiplicity, $N_{ch}$. The produced particles are separated into two classes: those belonging to jets and those belonging to the underlying event. Charged particles are measured with pseudorapidity |??|&lt;2.4 and transverse momentum $p_T$ &gt; 0.25 GeV/c. Jets are reconstructed from charged-particles only and required to have $p_T$ &gt; 5 GeV/c. The distributions of jet $p_T$, average $p_T$ of charged particles belonging to the underlying event or to jets, jet rates, and jet shapes are presented as functions of $N_{ch}$ and compared to the predictions of the PYTHIA and HERWIG event generators. Predictions without multi-parton interactions fail completely to describe the $N_{ch}$-dependence observed in the data. For increasing $N_{ch}$, PYTHIA systematically predicts higher jet rates and harder $p_T$ spectra than seen in the data, whereas HERWIG shows the opposite trends. At the highest multiplicity, the data?EUR"model agreement is worse for most observables, indicating the need for further tuning and/or new model ingredients.
Data taken from the RIVET analysis code.