Home > Research > Publications & Outputs > Sensitivity of the MicroBooNE experiment to dar...

Research

Associated organisational unit

Text available via DOI:

View graph of relations

Sensitivity of the MicroBooNE experiment to dark trident interactions

Research output: Working paper › Preprint

Published

Standard

Sensitivity of the MicroBooNE experiment to dark trident interactions. / MicroBooNE Collaboration.
2022.

Research output: Working paper › Preprint

Harvard

MicroBooNE Collaboration 2022 'Sensitivity of the MicroBooNE experiment to dark trident interactions'. https://doi.org/10.2172/2397227

APA

MicroBooNE Collaboration (2022). Sensitivity of the MicroBooNE experiment to dark trident interactions. https://doi.org/10.2172/2397227

Vancouver

MicroBooNE Collaboration. Sensitivity of the MicroBooNE experiment to dark trident interactions. 2022 Jul 4. doi: 10.2172/2397227

Author

MicroBooNE Collaboration. / Sensitivity of the MicroBooNE experiment to dark trident interactions. 2022.

Bibtex

@techreport{a6e3e2bce4424d3ca93f2d6ef81d1eb5,
title = "Sensitivity of the MicroBooNE experiment to dark trident interactions",
abstract = "This note describes an ongoing search for dark tridents in the MicroBooNE detector. The dark trident interaction is a proposed interaction of sub-GeV dark matter with ordinary matter that would allow an exploration of a hidden dark sector composed of a dark scalar or fermion χ and ′ a dark photon A . This dark matter candidate can be produced at fixed-target neutrino beams such as the NuMI beam and travel uninterrupted to the MicroBooNE liquid argon detector. The ′ interaction with the liquid argon occurs through the process χ + Ar → χ + Ar + A where the dark ′ photon promptly decays inside the detector through: A → e+ + e− . Two event selection strategies are explored, one using boosted decision trees and the other one applying a convolutional neural network. For both analyses a projected sensitivity in MicroBooNE after 2 × 1021 protons on target is presented. ",
author = "{MicroBooNE Collaboration} and Jaroslaw Nowak",
year = "2022",
month = jul,
day = "4",
doi = "10.2172/2397227",
language = "English",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - Sensitivity of the MicroBooNE experiment to dark trident interactions

AU - MicroBooNE Collaboration

AU - Nowak, Jaroslaw

PY - 2022/7/4

Y1 - 2022/7/4

N2 - This note describes an ongoing search for dark tridents in the MicroBooNE detector. The dark trident interaction is a proposed interaction of sub-GeV dark matter with ordinary matter that would allow an exploration of a hidden dark sector composed of a dark scalar or fermion χ and ′ a dark photon A . This dark matter candidate can be produced at fixed-target neutrino beams such as the NuMI beam and travel uninterrupted to the MicroBooNE liquid argon detector. The ′ interaction with the liquid argon occurs through the process χ + Ar → χ + Ar + A where the dark ′ photon promptly decays inside the detector through: A → e+ + e− . Two event selection strategies are explored, one using boosted decision trees and the other one applying a convolutional neural network. For both analyses a projected sensitivity in MicroBooNE after 2 × 1021 protons on target is presented.

AB - This note describes an ongoing search for dark tridents in the MicroBooNE detector. The dark trident interaction is a proposed interaction of sub-GeV dark matter with ordinary matter that would allow an exploration of a hidden dark sector composed of a dark scalar or fermion χ and ′ a dark photon A . This dark matter candidate can be produced at fixed-target neutrino beams such as the NuMI beam and travel uninterrupted to the MicroBooNE liquid argon detector. The ′ interaction with the liquid argon occurs through the process χ + Ar → χ + Ar + A where the dark ′ photon promptly decays inside the detector through: A → e+ + e− . Two event selection strategies are explored, one using boosted decision trees and the other one applying a convolutional neural network. For both analyses a projected sensitivity in MicroBooNE after 2 × 1021 protons on target is presented.

U2 - 10.2172/2397227

DO - 10.2172/2397227

M3 - Preprint

BT - Sensitivity of the MicroBooNE experiment to dark trident interactions

ER -