cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.114862.v3/t18
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 uncertainties and 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t13
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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t20
title: "7 channel Covariance Matrix, LEE(x=0.4)" 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 uncertainties and 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=0.4). 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t21
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 uncertainties and 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t24
title: "7 channel Covariance Matrix, LEE(x=0.8)" 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 uncertainties and 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=0.8). 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t25
title: "7 channel Covariance Matrix, LEE(x=0.9)" 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 uncertainties and 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=0.9). 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t22
title: "7 channel Covariance Matrix, LEE(x=0.6)" 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 uncertainties and 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=0.6). 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t23
title: "7 channel Covariance Matrix, LEE(x=0.7)" 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 uncertainties and 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=0.7). 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t29
title: "7 channel Covariance Matrix, LEE(x=1.3)" 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 uncertainties and 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=1.3). 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t30
title: "7 channel Covariance Matrix, LEE(x=1.4)" 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 uncertainties and 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=1.4). 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.25549/vercoutere-ouc110610393
title: Woman with a baby plus word salad

description: One orange female with brown hair wearing a white shirt with a brown collar holding a light orange baby with orange hair wearing a brown gown; remainder of the page is blank and unpainted except for a brief word salad at the bottom of the page printed in pencil: DRST QUEEN ELIZABITEH OLGAS WBJ WITTAS LMD. See description of 347 for OT notes.
DOI: 10.17182/hepdata.114862.v3/t19
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 uncertainties and 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t26
title: "7 channel Covariance Matrix, LEE(x=1.0)" 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 uncertainties and 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=1.0), the median unfolded MiniBooNE LEE under a $\nu_e$CC hypothesis. 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.
DOI: 10.17182/hepdata.114862.v3/t27
title: "7 channel Covariance Matrix, LEE(x=1.1)" 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 uncertainties and 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=1.1). 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. Version 3 adds additional spectra and covariance matrices for 0p and Np exclusive $\nu_e$ and $\nu_\mu$ selections.