cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.88291.v1/t27
title: "Table 27" of "Nuclear modification of $\Upsilon$ states in pPb collisions at $\sqrt{s_\mathrm{NN}}$ = 5.02 TeV"

description: RFB of Y(3S) versus $N^{|\eta_{lab}|&lt;2.4}_{tracks}$.
description: Production cross sections of $\Upsilon(1S)$, $\Upsilon(2S)$, and $\Upsilon(3S)$ states decaying into $\mu^{+}\mu^{-}$ in proton-lead (pPb) collisions are reported using data collected by the CMS experiment at $\sqrt{s_{_{\mathrm{NN}}}} = $ 5.02 TeV. A comparison is made with corresponding cross sections obtained with pp data measured at the same collision energy and scaled by the Pb nucleus mass number. The nuclear modification factor for $\Upsilon(1S)$ is found to be $R_{\mathrm{pPb}}(\Upsilon(1S)) = $ 0.806 $ \pm\ $ 0.024 (stat) $ \pm\ $ 0.059 (syst). Similar results for the excited states indicate a sequential suppression pattern, such that $R_{\mathrm{pPb}}(\Upsilon(1S)) &gt; R_{\mathrm{pPb}}(\Upsilon(2S)) &gt; R_{\mathrm{pPb}}(\Upsilon(3S))$. The suppression is much less pronounced in pPb than in PbPb collisions, and independent of transverse momentum $p^{\Upsilon}_{T}$ and center-of-mass rapidity $y^{\Upsilon}_{CM}$ of the individual $\Upsilon$ state in the studied range $p^{\Upsilon}_{T} &lt; $ 30 GeV/c and $|y^{\Upsilon}_{CM}| &lt; $ 1.93. Models that incorporate sequential suppression of bottomonia in pPb collisions are in better agreement with the data than those which only assume initial-state modifications.
DOI: 10.17182/hepdata.88291.v1/t28
title: "Table 28" of "Nuclear modification of $\Upsilon$ states in pPb collisions at $\sqrt{s_\mathrm{NN}}$ = 5.02 TeV"

description: RFB of Y(1S) versus $E^{|\eta_{lab}|&gt;4}_{T}$.
description: Production cross sections of $\Upsilon(1S)$, $\Upsilon(2S)$, and $\Upsilon(3S)$ states decaying into $\mu^{+}\mu^{-}$ in proton-lead (pPb) collisions are reported using data collected by the CMS experiment at $\sqrt{s_{_{\mathrm{NN}}}} = $ 5.02 TeV. A comparison is made with corresponding cross sections obtained with pp data measured at the same collision energy and scaled by the Pb nucleus mass number. The nuclear modification factor for $\Upsilon(1S)$ is found to be $R_{\mathrm{pPb}}(\Upsilon(1S)) = $ 0.806 $ \pm\ $ 0.024 (stat) $ \pm\ $ 0.059 (syst). Similar results for the excited states indicate a sequential suppression pattern, such that $R_{\mathrm{pPb}}(\Upsilon(1S)) &gt; R_{\mathrm{pPb}}(\Upsilon(2S)) &gt; R_{\mathrm{pPb}}(\Upsilon(3S))$. The suppression is much less pronounced in pPb than in PbPb collisions, and independent of transverse momentum $p^{\Upsilon}_{T}$ and center-of-mass rapidity $y^{\Upsilon}_{CM}$ of the individual $\Upsilon$ state in the studied range $p^{\Upsilon}_{T} &lt; $ 30 GeV/c and $|y^{\Upsilon}_{CM}| &lt; $ 1.93. Models that incorporate sequential suppression of bottomonia in pPb collisions are in better agreement with the data than those which only assume initial-state modifications.
DOI: 10.17182/hepdata.88291.v1/t29
title: "Table 29" of "Nuclear modification of $\Upsilon$ states in pPb collisions at $\sqrt{s_\mathrm{NN}}$ = 5.02 TeV"

description: RFB of Y(2S) versus $E^{|\eta_{lab}|&gt;4}_{T}$.
description: Production cross sections of $\Upsilon(1S)$, $\Upsilon(2S)$, and $\Upsilon(3S)$ states decaying into $\mu^{+}\mu^{-}$ in proton-lead (pPb) collisions are reported using data collected by the CMS experiment at $\sqrt{s_{_{\mathrm{NN}}}} = $ 5.02 TeV. A comparison is made with corresponding cross sections obtained with pp data measured at the same collision energy and scaled by the Pb nucleus mass number. The nuclear modification factor for $\Upsilon(1S)$ is found to be $R_{\mathrm{pPb}}(\Upsilon(1S)) = $ 0.806 $ \pm\ $ 0.024 (stat) $ \pm\ $ 0.059 (syst). Similar results for the excited states indicate a sequential suppression pattern, such that $R_{\mathrm{pPb}}(\Upsilon(1S)) &gt; R_{\mathrm{pPb}}(\Upsilon(2S)) &gt; R_{\mathrm{pPb}}(\Upsilon(3S))$. The suppression is much less pronounced in pPb than in PbPb collisions, and independent of transverse momentum $p^{\Upsilon}_{T}$ and center-of-mass rapidity $y^{\Upsilon}_{CM}$ of the individual $\Upsilon$ state in the studied range $p^{\Upsilon}_{T} &lt; $ 30 GeV/c and $|y^{\Upsilon}_{CM}| &lt; $ 1.93. Models that incorporate sequential suppression of bottomonia in pPb collisions are in better agreement with the data than those which only assume initial-state modifications.
DOI: 10.17182/hepdata.88291.v1/t30
title: "Table 30" of "Nuclear modification of $\Upsilon$ states in pPb collisions at $\sqrt{s_\mathrm{NN}}$ = 5.02 TeV"

description: RFB of Y(3S) versus $E^{|\eta_{lab}|&gt;4}_{T}$.
description: Production cross sections of $\Upsilon(1S)$, $\Upsilon(2S)$, and $\Upsilon(3S)$ states decaying into $\mu^{+}\mu^{-}$ in proton-lead (pPb) collisions are reported using data collected by the CMS experiment at $\sqrt{s_{_{\mathrm{NN}}}} = $ 5.02 TeV. A comparison is made with corresponding cross sections obtained with pp data measured at the same collision energy and scaled by the Pb nucleus mass number. The nuclear modification factor for $\Upsilon(1S)$ is found to be $R_{\mathrm{pPb}}(\Upsilon(1S)) = $ 0.806 $ \pm\ $ 0.024 (stat) $ \pm\ $ 0.059 (syst). Similar results for the excited states indicate a sequential suppression pattern, such that $R_{\mathrm{pPb}}(\Upsilon(1S)) &gt; R_{\mathrm{pPb}}(\Upsilon(2S)) &gt; R_{\mathrm{pPb}}(\Upsilon(3S))$. The suppression is much less pronounced in pPb than in PbPb collisions, and independent of transverse momentum $p^{\Upsilon}_{T}$ and center-of-mass rapidity $y^{\Upsilon}_{CM}$ of the individual $\Upsilon$ state in the studied range $p^{\Upsilon}_{T} &lt; $ 30 GeV/c and $|y^{\Upsilon}_{CM}| &lt; $ 1.93. Models that incorporate sequential suppression of bottomonia in pPb collisions are in better agreement with the data than those which only assume initial-state modifications.
DOI: 10.3535/d9r-ydb-am5
title: Petrophora chlorosata (Scopoli, 1763)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17182/hepdata.116281.v1/t20
title: "Figure 6 - left, low pt DeepTau vs ele WPs" of "Identification of hadronic tau lepton decays using a deep neural network"

description: Efficiency for electrons against efficiency for genuine tau_h to pass the MVA and De discriminators, separately for electrons and tau_h with 20 &lt; pt &lt; 100 GeV (left) and pt &gt; 100 GeV (right). Vertical bars correspond to the statistical uncertainties. The tau_h candidates are reconstructed in one of the tau_h decay modes without missing charged hadrons. Compared with the MVA discriminator, the De discriminator reduces the electron efficiency by more than a factor of two for a tau_h efficiency of 70% and by more than a factor of 10 for τh efficiencies larger than 88%. Furthermore, working points (indicated as full circles) are now provided for previously inaccessible tau_h efficiencies larger than 90%, for a misidentification efficiency between 0.3 and 8%.
description: A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (tau_h) that originate from genuine tau leptons in the CMS detector against tau_h candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a tau_h candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine tau_h to pass the discriminator against jets increases by 10-30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient tau_h reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved tau_h reconstruction method are validated with LHC proton-proton collision data at sqrt(s) = 13 TeV.
DOI: 10.17182/hepdata.116281.v1/t21
title: "Figure 6 - left, low pt MVA WPs" of "Identification of hadronic tau lepton decays using a deep neural network"

description: Efficiency for electrons against efficiency for genuine tau_h to pass the MVA and De discriminators, separately for electrons and tau_h with 20 &lt; pt &lt; 100 GeV (left) and pt &gt; 100 GeV (right). Vertical bars correspond to the statistical uncertainties. The tau_h candidates are reconstructed in one of the tau_h decay modes without missing charged hadrons. Compared with the MVA discriminator, the De discriminator reduces the electron efficiency by more than a factor of two for a tau_h efficiency of 70% and by more than a factor of 10 for τh efficiencies larger than 88%. Furthermore, working points (indicated as full circles) are now provided for previously inaccessible tau_h efficiencies larger than 90%, for a misidentification efficiency between 0.3 and 8%.
description: A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (tau_h) that originate from genuine tau leptons in the CMS detector against tau_h candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a tau_h candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine tau_h to pass the discriminator against jets increases by 10-30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient tau_h reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved tau_h reconstruction method are validated with LHC proton-proton collision data at sqrt(s) = 13 TeV.
DOI: 10.17182/hepdata.88291.v1/t31
title: "Table 31" of "Nuclear modification of $\Upsilon$ states in pPb collisions at $\sqrt{s_\mathrm{NN}}$ = 5.02 TeV"

description: Nuclear modification factor of Y(1S), Y(2S), and Y(3S) integrated over pT and $y^{Y}_{CM}$. The global uncertainty arises from the integrated luminosity uncertainties in pPb and pp collisions.
description: Production cross sections of $\Upsilon(1S)$, $\Upsilon(2S)$, and $\Upsilon(3S)$ states decaying into $\mu^{+}\mu^{-}$ in proton-lead (pPb) collisions are reported using data collected by the CMS experiment at $\sqrt{s_{_{\mathrm{NN}}}} = $ 5.02 TeV. A comparison is made with corresponding cross sections obtained with pp data measured at the same collision energy and scaled by the Pb nucleus mass number. The nuclear modification factor for $\Upsilon(1S)$ is found to be $R_{\mathrm{pPb}}(\Upsilon(1S)) = $ 0.806 $ \pm\ $ 0.024 (stat) $ \pm\ $ 0.059 (syst). Similar results for the excited states indicate a sequential suppression pattern, such that $R_{\mathrm{pPb}}(\Upsilon(1S)) &gt; R_{\mathrm{pPb}}(\Upsilon(2S)) &gt; R_{\mathrm{pPb}}(\Upsilon(3S))$. The suppression is much less pronounced in pPb than in PbPb collisions, and independent of transverse momentum $p^{\Upsilon}_{T}$ and center-of-mass rapidity $y^{\Upsilon}_{CM}$ of the individual $\Upsilon$ state in the studied range $p^{\Upsilon}_{T} &lt; $ 30 GeV/c and $|y^{\Upsilon}_{CM}| &lt; $ 1.93. Models that incorporate sequential suppression of bottomonia in pPb collisions are in better agreement with the data than those which only assume initial-state modifications.
DOI: 10.17182/hepdata.93883.v1/t1
title: "Table 1" of "Studies of charm and beauty hadron long-range correlations in pp and pPb collisions at LHC energies"

description: Results of elliptic flow, corrected for short range correlations, for prompt neutral D mesons, as a function of transverse momenta for $|y_{lab}|&lt; 1$, with $N^{offline}_{trk} \geq 100$ in pp collisions at 13 TeV.
description: Measurements of the second Fourier harmonic coefficient ($v_2$) of the azimuthal distributions of prompt and nonprompt D$^{0}$ mesons produced in pp and pPb collisions are presented. Nonprompt D$^{0}$ mesons come from beauty hadron decays. The data samples are collected by the CMS experiment at nucleon-nucleon center-of-mass energies of 13 and 8.16 TeV, respectively. In high multiplicity pp collisions, $v_2$ signals for prompt charm hadrons are reported for the first time, and are found to be comparable to those for light-flavor hadron species over a transverse momentum ($p_{\mathrm{T}}$) range of 2-6 GeV. Compared at similar event multiplicities, the prompt D$^{0}$ meson $v_2$ values in pp and pPb collisions are similar in magnitude. The $v_2$ values for open beauty hadrons are extracted for the first time via nonprompt D$^{0}$ mesons in D$^{0}$ collisions. For $p_{\mathrm{T}}$ in the range of 2-5 GeV, the results suggest that $v_2$ for nonprompt D$^{0}$ mesons is smaller than that for prompt D$^{0}$ mesons. These new measurements indicate a positive charm hadron $v_2$ in pp collisions and suggest a mass dependence in $v_2$ between charm and beauty hadrons in the pPb system. These results provide insights into the origin of heavy-flavor quark collectivity in small systems.
DOI: 10.17182/hepdata.93883.v1/t2
title: "Table 2" of "Studies of charm and beauty hadron long-range correlations in pp and pPb collisions at LHC energies"

description: Results of elliptic flow, corrected for short range correlations, for prompt neutral D mesons, as a function of multiplicity for $|y_{lab}|&lt; 1$, with 2$ &lt; p_{T} &lt; $4 GeV in pp collisions at 13 TeV.
description: Measurements of the second Fourier harmonic coefficient ($v_2$) of the azimuthal distributions of prompt and nonprompt D$^{0}$ mesons produced in pp and pPb collisions are presented. Nonprompt D$^{0}$ mesons come from beauty hadron decays. The data samples are collected by the CMS experiment at nucleon-nucleon center-of-mass energies of 13 and 8.16 TeV, respectively. In high multiplicity pp collisions, $v_2$ signals for prompt charm hadrons are reported for the first time, and are found to be comparable to those for light-flavor hadron species over a transverse momentum ($p_{\mathrm{T}}$) range of 2-6 GeV. Compared at similar event multiplicities, the prompt D$^{0}$ meson $v_2$ values in pp and pPb collisions are similar in magnitude. The $v_2$ values for open beauty hadrons are extracted for the first time via nonprompt D$^{0}$ mesons in D$^{0}$ collisions. For $p_{\mathrm{T}}$ in the range of 2-5 GeV, the results suggest that $v_2$ for nonprompt D$^{0}$ mesons is smaller than that for prompt D$^{0}$ mesons. These new measurements indicate a positive charm hadron $v_2$ in pp collisions and suggest a mass dependence in $v_2$ between charm and beauty hadrons in the pPb system. These results provide insights into the origin of heavy-flavor quark collectivity in small systems.
DOI: 10.3535/gp5-21a-2ee
title: Cabera pusaria (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/t5y-py9-285
title: Cabera pusaria (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.17182/hepdata.116281.v1/t22
title: "Figure 6 - right, high pt DeepTau vs ele" of "Identification of hadronic tau lepton decays using a deep neural network"

description: Efficiency for electrons against efficiency for genuine tau_h to pass the MVA and De discriminators, separately for electrons and tau_h with 20 &lt; pt &lt; 100 GeV (left) and pt &gt; 100 GeV (right). Vertical bars correspond to the statistical uncertainties. The tau_h candidates are reconstructed in one of the tau_h decay modes without missing charged hadrons. Compared with the MVA discriminator, the De discriminator reduces the electron efficiency by more than a factor of two for a tau_h efficiency of 70% and by more than a factor of 10 for τh efficiencies larger than 88%. Furthermore, working points (indicated as full circles) are now provided for previously inaccessible tau_h efficiencies larger than 90%, for a misidentification efficiency between 0.3 and 8%.
description: A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (tau_h) that originate from genuine tau leptons in the CMS detector against tau_h candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a tau_h candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine tau_h to pass the discriminator against jets increases by 10-30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient tau_h reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved tau_h reconstruction method are validated with LHC proton-proton collision data at sqrt(s) = 13 TeV.
DOI: 10.17182/hepdata.116281.v1/t23
title: "Figure 6 - right, high pt DeepTau vs ele WPs" of "Identification of hadronic tau lepton decays using a deep neural network"

description: Efficiency for electrons against efficiency for genuine tau_h to pass the MVA and De discriminators, separately for electrons and tau_h with 20 &lt; pt &lt; 100 GeV (left) and pt &gt; 100 GeV (right). Vertical bars correspond to the statistical uncertainties. The tau_h candidates are reconstructed in one of the tau_h decay modes without missing charged hadrons. Compared with the MVA discriminator, the De discriminator reduces the electron efficiency by more than a factor of two for a tau_h efficiency of 70% and by more than a factor of 10 for τh efficiencies larger than 88%. Furthermore, working points (indicated as full circles) are now provided for previously inaccessible tau_h efficiencies larger than 90%, for a misidentification efficiency between 0.3 and 8%.
description: A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (tau_h) that originate from genuine tau leptons in the CMS detector against tau_h candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a tau_h candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine tau_h to pass the discriminator against jets increases by 10-30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient tau_h reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved tau_h reconstruction method are validated with LHC proton-proton collision data at sqrt(s) = 13 TeV.
DOI: 10.17182/hepdata.116281.v1/t24
title: "Figure 6 - right, high pt MVA WPs" of "Identification of hadronic tau lepton decays using a deep neural network"

description: Efficiency for electrons against efficiency for genuine tau_h to pass the MVA and De discriminators, separately for electrons and tau_h with 20 &lt; pt &lt; 100 GeV (left) and pt &gt; 100 GeV (right). Vertical bars correspond to the statistical uncertainties. The tau_h candidates are reconstructed in one of the tau_h decay modes without missing charged hadrons. Compared with the MVA discriminator, the De discriminator reduces the electron efficiency by more than a factor of two for a tau_h efficiency of 70% and by more than a factor of 10 for τh efficiencies larger than 88%. Furthermore, working points (indicated as full circles) are now provided for previously inaccessible tau_h efficiencies larger than 90%, for a misidentification efficiency between 0.3 and 8%.
description: A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (tau_h) that originate from genuine tau leptons in the CMS detector against tau_h candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a tau_h candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine tau_h to pass the discriminator against jets increases by 10-30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient tau_h reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved tau_h reconstruction method are validated with LHC proton-proton collision data at sqrt(s) = 13 TeV.
DOI: 10.17182/hepdata.116281.v1/t25
title: "Figure 7 - left, low pt DeepTau vs muon" of "Identification of hadronic tau lepton decays using a deep neural network"

description: Efficiency for muons against efficiency for simulated τh to pass the cutoff-based and Dμ discriminators, separately for muons and tau_h with 20 &lt; pt &lt; 100 GeV (left) and pt &gt; 100 GeV (right). The four working points are indicated as full circles. Vertical bars cor- respond to the statistical uncertainties. In both pt regimes, the D_m discriminator rejects up to a factor of 10 more muons at tau_h efficiencies around 99%, and it leads to an increase of the τh efficiency for a similar background rejection by about 0.5%
description: A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (tau_h) that originate from genuine tau leptons in the CMS detector against tau_h candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a tau_h candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine tau_h to pass the discriminator against jets increases by 10-30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient tau_h reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved tau_h reconstruction method are validated with LHC proton-proton collision data at sqrt(s) = 13 TeV.