cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.114862.v1/t2
title: "Constrained $\nu_e$ CC FC Covariance Matrix, LEE(x=0)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: $\nu_e$ CC FC covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0), the standard prediction with no low energy excess. This has been constrained by the $\nu_e$CC PC, $\nu_\mu$CC FC, $\nu_\mu$CC PC, $\nu_\mu$CC $\pi^0$ FC, $\nu_\mu$CC $\pi^0$ PC, and NC $\pi^0$ channels under a LEE(x=0) hypothesis. The 1-26th bins/rows/columns correspond to the 26 bins of reconstructed neutrino energy in the $\nu_e$CC FC channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t3
title: "$\nu_e$CC FC Efficiency" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: Fully contained $\nu_e$CC signal efficiency as a function of true neutrino energy. Each bin shows the fraction of Monte-Carlo $\nu_e$ CC events with true neutrino interaction vertex in the fiducial volume (3 cm inside the TPC active volume) which are selected in this channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t4
title: "$\nu_e$CC PC Efficiency" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: Partially contained $\nu_e$CC signal efficiency as a function of true neutrino energy. Each bin shows the fraction of Monte-Carlo $\nu_e$ CC events with true neutrino interaction vertex in the fiducial volume (3 cm inside the TPC active volume) which are selected in this channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.25549/vercoutere-ouc110610145
title: Man and woman and dog and woman having sexual intercourse plus word salad

description: Two couples having sexual intercourse: one orange nude female with brown hair having intercourse with an orange dog; one orange nude female with blond hair having intercourse with orange nude male with brown hair; area around figures painted blue; a word salad printed in blue on the top half of the page on an unpainted background
DOI: 10.17182/hepdata.114862.v1/t1
title: "Constrained $\nu_e$CC FC" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: Fully contained $\nu_e$CC data, signal, background, and LEE(x=1) predictions constrained by the $\nu_e$CC PC, $\nu_\mu$CC FC, $\nu_\mu$CC PC, $\nu_\mu$CC $\pi^0$ FC, $\nu_\mu$CC $\pi^0$ PC, and NC $\pi^0$ channels under a LEE(x=0) hypothesis. Note that here we show the sum of the constrained signal and constrained background; due to correlations between signal and background, this is not identical to constraining after summing signal and background, but the difference here is minimal. Note that the rightmost bin is an overflow bin, containing all events with reconstructed neutrino energy greater than 2.5 GeV. The background includes neutral current events, $\nu_\mu$CC events, events with a true neutrino interaction vertex outside the fiducial volume (3 cm inside the TPC active volume), and cosmic ray backgrounds. The signal includes the remaining intrinsic $\nu_e$CC events. The LEE(x=1) includes the predicted excess from an unfolding of the MiniBooNE LEE under a $\nu_e$CC hypothesis.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t5
title: "$\nu_e$CC FC Energy Resolution" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: Fully contained $\nu_e$CC true neutrino energy vs reconstructed neutrino energy. Each bin shows the relative number of fully contained Monte-Carlo $\nu_e$ CC events with true neutrino interaction vertex in the fiducial volume (3 cm inside the TPC active volume) which have the corresponding true neutrino energy and reconstructed neutrino energy values. Each axis has 60 bins covering an energy range from 0 to 3 GeV, corresponding to 0.05 GeV per bin.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t6
title: "$\nu_e$CC PC Energy Resolution" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: Partially contained $\nu_e$CC true neutrino energy vs reconstructed neutrino energy. Each bin shows the relative number of partially contained Monte-Carlo $\nu_e$ CC events with true neutrino interaction vertex in the fiducial volume (3 cm inside the TPC active volume) which have the corresponding true neutrino energy and reconstructed neutrino energy values. Each axis has 60 bins covering an energy range from 0 to 3 GeV, corresponding to 0.05 GeV per bin.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t7
title: "$\nu_e$CC FC" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: Fully contained $\nu_e$CC data, signal, background, and LEE(x=1) predictions. Note that the rightmost bin is an overflow bin, containing all events with reconstructed neutrino energy greater than 2.5 GeV. The background includes neutral current events, $\nu_\mu$CC events, events with a true neutrino interaction vertex outside the fiducial volume (3 cm inside the TPC active volume), and cosmic ray backgrounds. The signal includes the remaining intrinsic $\nu_e$CC events. The LEE(x=1) includes the predicted excess from an unfolding of the MiniBooNE LEE under a $\nu_e$CC hypothesis.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t10
title: "$\nu_\mu$CC PC" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: Partially contained $\nu_\mu$CC data, signal, and background predictions. Events in the $\nu_e$CC or $\pi^0$ selections have been removed. Note that the rightmost bin is an overflow bin, containing all events with reconstructed neutrino energy greater than 2.5 GeV. The background includes neutral current events, $\nu_e$CC events, events with a true neutrino interaction vertex outside the fiducial volume (3 cm inside the TPC active volume), and cosmic ray backgrounds. The signal includes the remaining $\nu_\mu$CC events.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t12
title: "$\nu_\mu$CC$\pi^0$ PC" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: Partially contained $\nu_\mu$CC$\pi^0$ data, signal, and background predictions. Events in the $\nu_e$CC selection have been removed. Note that the rightmost bin is an overflow bin, containing all events with reconstructed $\pi^0$ kinetic energy greater than 1 GeV. The background includes neutral current events, $\nu_e$CC events, $\nu_\mu$CC events without a $\pi^0$, events with a true neutrino interaction vertex outside the fiducial volume (3 cm inside the TPC active volume), and cosmic ray backgrounds. The signal includes the remaining $\nu_\mu$CC$\pi^0$ events.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t13
title: "NC$\pi^0$" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: NC$\pi^0$ data, signal, and background predictions. Events in the $\nu_e$CC selection have been removed. Note that the rightmost bin is an overflow bin, containing all events with reconstructed $\pi^0$ kinetic energy greater than 1 GeV. The background includes $\nu_e$CC events, $\nu_\mu$CC events, neutral current events without a $\pi^0$, events with a true neutrino interaction vertex outside the fiducial volume (3 cm inside the TPC active volume), and cosmic ray backgrounds. The signal includes the remaining NC$\pi^0$ events.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t15
title: "7 channel Covariance Matrix, LEE(x=0.1)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.1). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t8
title: "$\nu_e$CC PC" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: Partially contained $\nu_e$CC data, signal, background, and LEE(x=1) predictions. Note that the rightmost bin is an overflow bin, containing all events with reconstructed neutrino energy greater than 2.5 GeV. The background includes neutral current events, $\nu_\mu$CC events, events with a true neutrino interaction vertex outside the fiducial volume (3 cm inside the TPC active volume), and cosmic ray backgrounds. The signal includes the remaining intrinsic $\nu_e$CC events. The LEE(x=1) includes the predicted excess from an unfolding of the MiniBooNE LEE under a $\nu_e$CC hypothesis.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114860.v1/t12
title: "Supplementary material, TABLE IV" of "Search for Neutrino-Induced Neutral Current $\Delta$ Radiative Decay in MicroBooNE and a First Test of the MiniBooNE Low Energy Excess Under a Single-Photon Hypothesis"

description: The fractional systematic covariance matrix for the final selected 1$\gamma$1p, 1$\gamma$0p, 2$\gamma$1p, and 2$\gamma$0p event samples, in bins of reconstructed shower energy for the 1$\gamma$1p signal, 1$\gamma$1p background, 1$\gamma$0p signal and 1$\gamma$0p background distributions, and reconstructed $\pi^{0}$ momentum for the 2$\gamma$ distributions. The bin boundaries are defined in Sec. II in supplementary material. This covariance matrix is evaluated at central value prediction and variances have been rounded to three significant digits.
description: We report results from a search for neutrino-induced neutral current (NC) resonant $\Delta$(1232) baryon production followed by $\Delta$ radiative decay, with a ⟨0.8⟩ GeV neutrino beam. Data corresponding to MicroBooNE’s first three years of operations (6.80×$10^{20}$ protons on target) are used to select single-photon events with one or zero protons and without charged leptons in the final state ($1\gamma1p$ and $1\gamma0p$, respectively). The background is constrained via an in-situ high-purity measurement of NC $\pi^{0}$ events, made possible via dedicated $2\gamma1p$ and $2\gamma0p$ selections. A total of 16 and 153 events are observed for the $1\gamma1p$ and $1\gamma0p$ selections, respectively, compared to a constrained background prediction of 20.5 ± 3.65(sys.) and 145.1 ± 13.8(sys.) events. The data lead to a bound on an anomalous enhancement of the normalization of NC $\Delta$ radiative decay of less than 2.3 times the predicted nominal rate for this process at the 90% confidence level (CL). The measurement disfavors a candidate photon interpretation of the MiniBooNE low-energy excess as a factor of 3.18 times the nominal NC $\Delta$ radiative decay rate at the 94.8% CL, in favor of the nominal prediction, and represents a greater than 50-fold improvement over the world’s best limit on single-photon production in NC interactions in the sub-GeV neutrino energy range.
DOI: 10.17182/hepdata.114862.v1/t11
title: "$\nu_\mu$CC$\pi^0$ FC" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: Fully contained $\nu_\mu$CC$\pi^0$ data, signal, background predictions. Events in the $\nu_e$CC selection have been removed. Note that the rightmost bin is an overflow bin, containing all events with reconstructed $\pi^0$ kinetic energy greater than 1 GeV. The background includes neutral current events, $\nu_e$CC events, $\nu_\mu$CC events without a $\pi^0$, events with a true neutrino interaction vertex outside the fiducial volume (3 cm inside the TPC active volume), and cosmic ray backgrounds. The signal includes the remaining $\nu_\mu$CC$\pi^0$ events.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t14
title: "7 channel Covariance Matrix, LEE(x=0.0)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.0), the standard prediction with no low energy excess. No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t16
title: "7 channel Covariance Matrix, LEE(x=0.2)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.2). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t17
title: "7 channel Covariance Matrix, LEE(x=0.3)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.3). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.
DOI: 10.17182/hepdata.114862.v1/t19
title: "7 channel Covariance Matrix, LEE(x=0.5)" of "Search for an anomalous excess of inclusive charged-current $\nu_e$ interactions in the MicroBooNE experiment using Wire-Cell reconstruction"

description: 7 channel covariance matrix showing correlations between bins due to flux uncertainties, cross-section uncertainties, hadron reinteraction uncertainties, detector systematic uncertainties, Monte-Carlo statistical uncertainties, and dirt (outside cryostat) uncertainties. For the data statistical uncertainty covariance matrix, (only diagonal elements, not included here), the Neyman, Pearson, or combined Neyman and Pearson (CNP) techniques can be used. This corresponds to LEE(x=0.5). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC PC channel. The 53-78th bins/rows/columns correspond to the $\nu_\mu$CC FC channel. The 79-104th bins/rows/columns correspond to the $\nu_\mu$CC PC channel. The 105-115th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 116-126th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 127-137th bins/rows/columns correspond to the NC$\pi^0$ channel.
description: Data release for the first results from MicroBooNE's inclusive $\nu_e$CC search using Wire-Cell reconstruction, corresponding to information from arXiv:2110.13978. Attached is a python script which shows an example of how to use this data release to plot the unconstrained and constrained $\nu_e$CC FC data and predictions.