cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17182/hepdata.114862.v3/t28
title: "7 channel Covariance Matrix, LEE(x=1.2)" 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=1.2). 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/t31
title: "7 channel Covariance Matrix, LEE(x=1.5)" 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=1.5). 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/t32
title: "7 channel Covariance Matrix, LEE(x=1.6)" 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=1.6). 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/t33
title: "7 channel Covariance Matrix, LEE(x=1.7)" 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=1.7). 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/t34
title: "7 channel Covariance Matrix, LEE(x=1.8)" 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=1.8). 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/t36
title: "7 channel Covariance Matrix, LEE(x=2.0)" 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=2.0). 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/t37
title: "$\nu_e$CC $0pX\pi$ 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 $0pX\pi$ data, prediction, 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 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. 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/t38
title: "$\nu_e$CC $0pX\pi$ 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 $0pX\pi$ data, prediction, 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 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. 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/t39
title: "$\nu_e$CC $NpX\pi$ 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 $NpX\pi$ data, prediction, 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 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. 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/t41
title: "$\nu_\mu$CC $0pX\pi$ 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 $0pX\pi$ data, prediction, 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 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. 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/t42
title: "$\nu_\mu$CC $0pX\pi$ 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 $0pX\pi$ data, prediction, 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 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. 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/t43
title: "$\nu_\mu$CC $NpX\pi$ 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 $NpX\pi$ data, prediction, 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 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. 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/t35
title: "7 channel Covariance Matrix, LEE(x=1.9)" 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=1.9). 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/t45
title: "11 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: 11 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=0.0), 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 $0pX\pi$ FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC $0pX\pi$ PC channel. The 53-78th bins/rows/columns correspond to the $\nu_e$CC $NpX\pi$ FC channel. The 79-104th bins/rows/columns correspond to the $\nu_e$CC $NpX\pi$ PC channel. The 105-130th bins/rows/columns correspond to the $\nu_\mu$CC $0pX\pi$ FC channel. The 131-156th bins/rows/columns correspond to the $\nu_\mu$CC $0pX\pi$ PC channel. The 157-182nd bins/rows/columns correspond to the $\nu_\mu$CC $NpX\pi$ FC channel. The 183-208th bins/rows/columns correspond to the $\nu_\mu$CC $NpX\pi$ PC channel. The 209-219th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 220-230th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 231-241st 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/t46
title: "11 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: 11 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=0.1). No constraints have been applied at this stage. The 1-26th bins/rows/columns correspond to the $\nu_e$CC $0pX\pi$ FC channel. The 27-52nd bins/rows/columns correspond to the $\nu_e$CC $0pX\pi$ PC channel. The 53-78th bins/rows/columns correspond to the $\nu_e$CC $NpX\pi$ FC channel. The 79-104th bins/rows/columns correspond to the $\nu_e$CC $NpX\pi$ PC channel. The 105-130th bins/rows/columns correspond to the $\nu_\mu$CC $0pX\pi$ FC channel. The 131-156th bins/rows/columns correspond to the $\nu_\mu$CC $0pX\pi$ PC channel. The 157-182nd bins/rows/columns correspond to the $\nu_\mu$CC $NpX\pi$ FC channel. The 183-208th bins/rows/columns correspond to the $\nu_\mu$CC $NpX\pi$ PC channel. The 209-219th bins/rows/columns correspond to the CC$\pi^0$ FC channel. The 220-230th bins/rows/columns correspond to the CC$\pi^0$ PC channel. The 231-241st 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.