Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data
Authors
Abratenko, P
An, R
Anthony, J
Asaadi, J
Ashkenazi, A
Balasubramanian, S
Baller, B
Barnes, C
Barr, G
Basque, V
Bathe-Peters, L
Benevides Rodrigues, O
Berkman, S
Bhanderi, A
Bhat, A
Bishai, M
Blake, A
Bolton, T
Camilleri, L
Caratelli, D
Caro Terrazas, I
Castillo Fernandez, R
Cavanna, F
Cerati, G
Chen, Y
Church, E
Cianci, D
Conrad, JM
Convery, M
Cooper-Troendle, L
Crespo-Anadón, JI
Del Tutto, M
Dennis, SR
Devitt, D
Diurba, R
Dorrill, R
Duffy, K
Dytman, S
Eberly, B
Ereditato, A
Evans, JJ
Fine, R
Fiorentini Aguirre, GA
Fitzpatrick, RS
Fleming, BT
Foppiani, N
Franco, D
Furmanski, AP
Garcia-Gamez, D
Gardiner, S
Ge, G
Gollapinni, S
Goodwin, O
Gramellini, E
Green, P
Greenlee, H
Gu, W
Guenette, R
Guzowski, P
Hagaman, L
Hall, E
Hamilton, P
Hen, O
Horton-Smith, GA
Hourlier, A
Itay, R
James, C
Ji, X
Jiang, L
Jo, JH
Johnson, RA
Jwa, YJ
Kamp, N
Kaneshige, N
Karagiorgi, G
Ketchum, W
Kirby, M
Kobilarcik, T
Kreslo, I
LaZur, R
Lepetic, I
Li, K
Li, Y
Lin, K
Littlejohn, BR
Louis, WC
Luo, X
Manivannan, K
Mariani, C
Marsden, D
Marshall, J
Martinez Caicedo, DA
Mason, K
Mastbaum, A
McConkey, N
Meddage, V
Mettler, T
Miller, K
Mills, J
Mistry, K
Publication Date
2021Journal Title
Journal of High Energy Physics
ISSN
1029-8479
Publisher
Springer Science and Business Media LLC
Volume
2021
Issue
12
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Abratenko, P., An, R., Anthony, J., Asaadi, J., Ashkenazi, A., Balasubramanian, S., Baller, B., et al. (2021). Calorimetric classification of track-like signatures in liquid argon TPCs using MicroBooNE data. Journal of High Energy Physics, 2021 (12) https://doi.org/10.1007/JHEP12(2021)153
Abstract
<jats:title>A<jats:sc>bstract</jats:sc>
</jats:title><jats:p>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 <jats:italic>ν</jats:italic><jats:sub><jats:italic>μ</jats:italic></jats:sub><jats:italic>CC</jats:italic> interactions. While developed using MicroBooNE data and simulation, this method is easily applicable to future LArTPC experiments, such as SBND, ICARUS, and DUNE.</jats:p>
Keywords
Regular Article - Experimental Physics, Other experiments
Identifiers
jhep12(2021)153, 17422
External DOI: https://doi.org/10.1007/JHEP12(2021)153
This record's URL: https://www.repository.cam.ac.uk/handle/1810/335595
Rights
Licence:
http://creativecommons.org/licenses/by/4.0/
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