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Progress Toward the First Search for Bound Neutron Oscillation into Antineutron in a Liquid Argon TPC

Research output: Working paper › Preprint

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Progress Toward the First Search for Bound Neutron Oscillation into Antineutron in a Liquid Argon TPC. / MicroBooNE Collaboration.
2020.

Research output: Working paper › Preprint

Harvard

MicroBooNE Collaboration 2020 'Progress Toward the First Search for Bound Neutron Oscillation into Antineutron in a Liquid Argon TPC'. https://doi.org/10.2172/2397223

APA

MicroBooNE Collaboration (2020). Progress Toward the First Search for Bound Neutron Oscillation into Antineutron in a Liquid Argon TPC. https://doi.org/10.2172/2397223

Vancouver

MicroBooNE Collaboration. Progress Toward the First Search for Bound Neutron Oscillation into Antineutron in a Liquid Argon TPC. 2020 Aug 4. doi: 10.2172/2397223

Author

MicroBooNE Collaboration. / Progress Toward the First Search for Bound Neutron Oscillation into Antineutron in a Liquid Argon TPC. 2020.

Bibtex

@techreport{3f3fd8d1d77b48fb9b1f10d1123fbef1,
title = "Progress Toward the First Search for Bound Neutron Oscillation into Antineutron in a Liquid Argon TPC",
abstract = "This note presents current progress for a neutron-antineutron oscillation (n− {\=n}) search in MicroBooNE paving the way for the first search analysis of such process in a Liquid Argon Time Projection Chamber (LArTPC). Convolutional Neural Network (CNN) and Boosted Decision Tree (BDT) algorithms were used to select signal n − {\=n} events over cosmogenic backgrounds. The CNN-only, BDT-only, and the combined (CNN+BDT) methods were demonstrated on the Monte-Carlo signal and background events. Validation of the CNNonly and the BDT-only methods was carried out on a small dataset of MicroBooNE Run1 off-beam data, setting the starting point toward further improvement of the analysis.",
author = "{MicroBooNE Collaboration} and Jaroslaw Nowak",
year = "2020",
month = aug,
day = "4",
doi = "10.2172/2397223",
language = "English",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - Progress Toward the First Search for Bound Neutron Oscillation into Antineutron in a Liquid Argon TPC

AU - MicroBooNE Collaboration

AU - Nowak, Jaroslaw

PY - 2020/8/4

Y1 - 2020/8/4

N2 - This note presents current progress for a neutron-antineutron oscillation (n− n̄) search in MicroBooNE paving the way for the first search analysis of such process in a Liquid Argon Time Projection Chamber (LArTPC). Convolutional Neural Network (CNN) and Boosted Decision Tree (BDT) algorithms were used to select signal n − n̄ events over cosmogenic backgrounds. The CNN-only, BDT-only, and the combined (CNN+BDT) methods were demonstrated on the Monte-Carlo signal and background events. Validation of the CNNonly and the BDT-only methods was carried out on a small dataset of MicroBooNE Run1 off-beam data, setting the starting point toward further improvement of the analysis.

AB - This note presents current progress for a neutron-antineutron oscillation (n− n̄) search in MicroBooNE paving the way for the first search analysis of such process in a Liquid Argon Time Projection Chamber (LArTPC). Convolutional Neural Network (CNN) and Boosted Decision Tree (BDT) algorithms were used to select signal n − n̄ events over cosmogenic backgrounds. The CNN-only, BDT-only, and the combined (CNN+BDT) methods were demonstrated on the Monte-Carlo signal and background events. Validation of the CNNonly and the BDT-only methods was carried out on a small dataset of MicroBooNE Run1 off-beam data, setting the starting point toward further improvement of the analysis.

U2 - 10.2172/2397223

DO - 10.2172/2397223

M3 - Preprint

BT - Progress Toward the First Search for Bound Neutron Oscillation into Antineutron in a Liquid Argon TPC

ER -