The Library
Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data
Tools
Tools
Tools
The MicroBooNE collaboration (Including:
). (2021) Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data. Journal of High Energy Physics, 2021 (12). 153. doi:10.1007/jhep12(2021)153 ISSN 1029-8479.
|
PDF
WRAP-calorimetric-classification-track-like-signatures-liquid-argon-TPCs-using-MicroBooNE-data-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (2464Kb) | Preview |
Official URL: https://doi.org/10.1007/jhep12(2021)153
Abstract
The MicroBooNE liquid argon time projection chamber located at Fermilab is a neutrino experiment dedicated to the study of short-baseline oscillations, the measurements of neutrino cross sections in liquid argon, and to the research and development of this novel detector technology. Accurate and precise measurements of calorimetry are essential to the event reconstruction and are achieved by leveraging the TPC to measure deposited energy per unit length along the particle trajectory, with mm resolution. We describe the non-uniform calorimetric reconstruction performance in the detector, showing dependence on the angle of the particle trajectory. Such non-uniform reconstruction directly affects the performance of the particle identification algorithms which infer particle type from calorimetric measurements. This work presents a new particle identification method which accounts for and effectively addresses such non-uniformity. The newly developed method shows improved performance compared to previous algorithms, illustrated by a 93.7% proton selection efficiency and a 10% muon mis-identification rate, with a fairly loose selection of tracks performed on beam data. The performance is further demonstrated by identifying exclusive final states in νμCC interactions. While developed using MicroBooNE data and simulation, this method is easily applicable to future LArTPC experiments, such as SBND, ICARUS, and DUNE.
| Item Type: | Journal Article | |||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QC Physics T Technology > TK Electrical engineering. Electronics Nuclear engineering |
|||||||||||||||||||||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | |||||||||||||||||||||||||||
| SWORD Depositor: | Library Publications Router | |||||||||||||||||||||||||||
| Library of Congress Subject Headings (LCSH): | Neutrinos , Oscillations , Liquid argon , Nuclear track detectors, Calorimetry , Particles (Nuclear physics), Time projection chambers (Nuclear physics) | |||||||||||||||||||||||||||
| Journal or Publication Title: | Journal of High Energy Physics | |||||||||||||||||||||||||||
| Publisher: | Springer Berlin Heidelberg | |||||||||||||||||||||||||||
| ISSN: | 1029-8479 | |||||||||||||||||||||||||||
| Official Date: | 21 December 2021 | |||||||||||||||||||||||||||
| Dates: |
|
|||||||||||||||||||||||||||
| Volume: | 2021 | |||||||||||||||||||||||||||
| Number: | 12 | |||||||||||||||||||||||||||
| Article Number: | 153 | |||||||||||||||||||||||||||
| DOI: | 10.1007/jhep12(2021)153 | |||||||||||||||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||||||||||||||
| Publication Status: | Published | |||||||||||||||||||||||||||
| Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||||||||||||||
| Date of first compliant deposit: | 7 February 2022 | |||||||||||||||||||||||||||
| Date of first compliant Open Access: | 7 February 2022 | |||||||||||||||||||||||||||
| RIOXX Funder/Project Grant: |
|
|||||||||||||||||||||||||||
| Contributors: |
|
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
