cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/ahf-ouc11399erm5
title: Hancock Photographs

description: The Hancock Foundation Archive consists of correspondence, reports, clippings, photographs, sound recordings, film, and other materials, 1823-2005, documenting the activities and history of the Hancock Foundation at the University of Southern California, its founder G. Allan Hancock, and the Hancock family. Included are records of the Foundation's scientific and research activities in marine biology and zoology; the Foundation's Library; the Hancock Museum, housed in the Foundation building on the USC campus; and the research vessel Velero IV, the second of Captain Hancock's ships put into service for research purposes. Also included are historical documents regarding the Hancock family's land interests in Los Angeles, and material documenting the non-scientific interests of Captain Hancock. Specifically this digital collection includes: • Allan Hancock Foundation publications. • Sound recordings produced by the Allan Hancock Foundation for radio broadcast in the 1930's and 1940's. Many of the recordings are of the Hancock Ensemble whose 'cellist was Allan Hancock. Digitized thanks to generous support from the Association for Recorded Sound Collections (ARSC) (https://www.arsc-audio.org/index.php), Lance Bowling and Cambria Music, Kenneth Hayashida MD (USC ’89) • Films and photographs from the Allan Hancock Foundation mostly from the expeditions of the research vessels Velero II, III, and IV. The digitization efforts for the Hancock collection have been financed (in part) with Federal funds from the National Park Service Maritime Heritage grant program (https://www.nps.gov/maritime/grants/apply.htm), administered by the National Park Service, U.S. Department of the Interior. However, the contents and opinions contained herein do not necessarily reflect the views or policies of the Department of the Interior, nor does the mention of trade names or commercial products constitute endorsement or recommendation by the Department of the Interior. The project received Federal financial assistance for preservation of historic maritime resources and for increasing public awareness and appreciation for the maritime heritage of the United States. Under Title VI of the Civil Rights Act of 1964, Section 504 of the Rehabilitation Act of 1973, and the Age Discrimination Act of 1975, as amended, the U.S. Department of the Interior prohibits discrimination on the basis of race, color, national origin, disability or age in its federally funded assisted programs. If you believe you have been discriminated again in any program, activity, or facility as described above, or if you desire further information, please write to: Office of Equal Opportunity National Park Service 1849 C Street, NW Washington, DC 20240. • Station logs from the research vessel Velero IV.
DOI: 10.17182/hepdata.153859.v1/t1
title: "Angularity distribution" of "Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $p$$p$ collisions with the ATLAS detector"

description: The angularity, for data, background (pre- and post-reweighting) and three $H\rightarrow Za$ signal hypotheses (for $a\rightarrow q\bar{q}/gg$ inclusively). Events are required to pass the complete event selection but not the classification NN requirement. The background normalization is set equal to that of the data for events passing the preselection and being in the $m_{\ell\ell j}$ 100-180 GeV region. The signal normalization assumes the SM Higgs boson inclusive production cross-section, $\mathcal{B}(H\to Za)=100\%$, and it is scaled up by a factor of 100. The error bars (hatched regions) represent the data (MC) sample's statistical uncertainty in the histograms and the ratio plots. Vertical arrows indicate data points that fall outside the displayed $y$-axis range.
description: A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a $J/\psi$ or $\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. Since no significant excess of events relative to the expected background is observed, 95% CL upper limits are set on the Higgs boson's branching fraction to a $Z$ boson and a light resonance.
DOI: 10.17182/hepdata.153859.v1/t2
title: "Modified energy correlation function" of "Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $p$$p$ collisions with the ATLAS detector"

description: The modified energy correlation function, for data, background (pre- and post-reweighting) and three $H\rightarrow Za$ signal hypotheses (for $a\rightarrow q\bar{q}/gg$ inclusively). Events are required to pass the complete event selection but not the classification NN requirement. The background normalization is set equal to that of the data for events passing the preselection and being in the $m_{\ell\ell j}$ 100-180 GeV region. The signal normalization assumes the SM Higgs boson inclusive production cross-section, $\mathcal{B}(H\to Za)=100\%$, and it is scaled up by a factor of 100. The error bars (hatched regions) represent the data (MC) sample's statistical uncertainty in the histograms and the ratio plots. Vertical arrows indicate data points that fall outside the displayed $y$-axis range.
description: A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a $J/\psi$ or $\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. Since no significant excess of events relative to the expected background is observed, 95% CL upper limits are set on the Higgs boson's branching fraction to a $Z$ boson and a light resonance.
DOI: 10.17182/hepdata.153859.v1/t3
title: "Z boson transverse momentum" of "Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $p$$p$ collisions with the ATLAS detector"

description: $Z$ boson transverse momentum, for data, background (pre- and post-reweighting) and three $H\rightarrow Za$ signal hypotheses (for $a\rightarrow q\bar{q}/gg$ inclusively). Events are required to pass the complete event selection but not the classification NN requirement. The background normalization is set equal to that of the data for events passing the preselection and being in the $m_{\ell\ell j}$ 100-180 GeV region. The signal normalization assumes the SM Higgs boson inclusive production cross-section, $\mathcal{B}(H\to Za)=100\%$, and it is scaled up by a factor of 100. The error bars (hatched regions) represent the data (MC) sample's statistical uncertainty in the histograms and the ratio plots. Vertical arrows indicate data points that fall outside the displayed $y$-axis range.
description: A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a $J/\psi$ or $\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. Since no significant excess of events relative to the expected background is observed, 95% CL upper limits are set on the Higgs boson's branching fraction to a $Z$ boson and a light resonance.
DOI: 10.17182/hepdata.153859.v1/t10
title: "Upper limits for $\mathcal{B}(a\rightarrow q\bar{q})=1$" of "Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $p$$p$ collisions with the ATLAS detector"

description: Observed 95$\%$ confidence level upper limits on $\mathcal{B}(H \to Za)=100\%$ for $\mathcal{B}(a\rightarrow q\bar{q})=100\%$, and the expectation under the background-only hypothesis together with its $\pm1\sigma$ and $\pm2\sigma$ intervals. The weaker limits from the previous version of the analysis (PRL 125(2020) 221802) are also shown. Linear interpolation is used to set limits between the mass points for which MC signal samples were generated.
description: A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a $J/\psi$ or $\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. Since no significant excess of events relative to the expected background is observed, 95% CL upper limits are set on the Higgs boson's branching fraction to a $Z$ boson and a light resonance.
DOI: 10.17182/hepdata.153859.v1/t4
title: "Invariant mass of the dilepton+jet system" of "Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $p$$p$ collisions with the ATLAS detector"

description: Invariant mass of the lepton pair plus jet system, for data, background (pre- and post-reweighting) and three $H\rightarrow Za$ signal hypotheses (for $a\rightarrow q\bar{q}/gg$ inclusively). Events are required to pass the complete event selection but not the classification NN requirement. The background normalization is set equal to that of the data for events passing the preselection and being in the $m_{\ell\ell j}$ 100-180 GeV region. The signal normalization assumes the SM Higgs boson inclusive production cross-section, $\mathcal{B}(H\to Za)=100\%$, and it is scaled up by a factor of 100. The error bars (hatched regions) represent the data (MC) sample's statistical uncertainty in the histograms and the ratio plots. Vertical arrows indicate data points that fall outside the displayed $y$-axis range.
description: A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a $J/\psi$ or $\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. Since no significant excess of events relative to the expected background is observed, 95% CL upper limits are set on the Higgs boson's branching fraction to a $Z$ boson and a light resonance.
DOI: 10.17182/hepdata.153859.v1/t5
title: "Predicted mass" of "Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $p$$p$ collisions with the ATLAS detector"

description: Regression NN output variable, for data, reweighted background, and three $H\rightarrow Za$ signal hypotheses ($a\rightarrow q\bar{q}/gg$ inclusively). Events are required to pass the complete event selection, including a $120
description: A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a $J/\psi$ or $\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. Since no significant excess of events relative to the expected background is observed, 95% CL upper limits are set on the Higgs boson's branching fraction to a $Z$ boson and a light resonance.
DOI: 10.17182/hepdata.153859.v1/t6
title: "Classification score" of "Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $p$$p$ collisions with the ATLAS detector"

description: Classification NN output variable, for data, reweighted background, and three $H\rightarrow Za$ signal hypotheses ($a\rightarrow q\bar{q}/gg$ inclusively). Events are required to pass the complete event selection, including a $120
description: A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a $J/\psi$ or $\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. Since no significant excess of events relative to the expected background is observed, 95% CL upper limits are set on the Higgs boson's branching fraction to a $Z$ boson and a light resonance.
DOI: 10.17182/hepdata.153859.v1/t7
title: "Pre-fit dilepton+jet mass" of "Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $p$$p$ collisions with the ATLAS detector"

description: Invariant mass of the lepton pair plus jet system for data, reweighted background, and various signal hypotheses. Events are required to pass the complete event selection (preselection and classification NN requirement). The pre-fit background distribution is shown along with three $H\rightarrow Za$ signal hypotheses coming from the pure MC sample ($a\rightarrow q\bar{q}/gg$ inclusively). The background normalization is set equal to that of the data for events passing the preselection and being in the region 100-180 GeV. The error bars represent the data sample's statistical uncertainty and the grey bands represent the full background model uncertainty before the fit (assuming all the uncertainties are uncorrelated). The lower panel shows the ratio of the data to the pre-fit background prediction.
description: A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a $J/\psi$ or $\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. Since no significant excess of events relative to the expected background is observed, 95% CL upper limits are set on the Higgs boson's branching fraction to a $Z$ boson and a light resonance.
DOI: 10.17182/hepdata.153859.v1/t8
title: "Post-fit dilepton+jet mass" of "Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $p$$p$ collisions with the ATLAS detector"

description: Invariant mass of the lepton pair plus jet system for data, reweighted background, and 2.0 GeV signal hypotheses. Events are required to pass the complete event selection (preselection and classification NN requirement). The background shape and normalization come from the fit to the data. The signal includes only $gg$ decays, its shape comes from the fit, and it is normalized to $\mathcal{B}(H\rightarrow Za)=100\%$. The error bars represent the data sample's statistical uncertainty and the grey bands represent the full background model uncertainty after the fit. The lower panel shows the per-bin signal significance, $(N_\text{data}-N_\text{MC})\,\text{\Large{/}}\sqrt{\sigma_\text{data}^2+\sigma_\text{MC}^2}$. The post-fit background uncertainty is calculated from a fit under the background-only hypothesis. Vertical arrows indicate data points that fall outside the displayed $y$-axis range.
description: A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a $J/\psi$ or $\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. Since no significant excess of events relative to the expected background is observed, 95% CL upper limits are set on the Higgs boson's branching fraction to a $Z$ boson and a light resonance.
DOI: 10.17182/hepdata.153859.v1/t9
title: "Upper limits for $\mathcal{B}(a \to gg)=1$" of "Search for Higgs boson decays into a $Z$ boson and a light hadronically decaying resonance in 140 fb$^{-1}$ of 13 TeV $p$$p$ collisions with the ATLAS detector"

description: Observed 95$\%$ CL upper limits on $\mathcal{B}(H \to Za)=100\%$ for $\mathcal{B}(a \to gg)=100\%$, and the expectation under the background-only hypothesis together with its $\pm1\sigma$ and $\pm2\sigma$ intervals. The weaker limits from the previous version of the analysis (PRL 125(2020) 221802) are also shown. Linear interpolation is used to set limits between the mass points for which MC signal samples were generated.
description: A search for decays of the Higgs boson into a $Z$ boson and a light resonance, with a mass of 0.5-4 GeV, is performed using the full 140 fb$^{-1}$ dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the $Z$ boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a $J/\psi$ or $\eta_c$ meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. Since no significant excess of events relative to the expected background is observed, 95% CL upper limits are set on the Higgs boson's branching fraction to a $Z$ boson and a light resonance.