Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data

Abratenko, P; An, R; Anthony, J; Arellano, L; Asaadi, J; Ashkenazi, A; Balasubramanian, S; Baller, B; Barnes, C; Barr, G; Basque, V; Bathe-Peters, L; Rodrigues, O Benevides; Berkman, S; Bhanderi, A; Bhat, A; Bishai, M; Blake, A; Bolton, T; Book, JY; Camilleri, L; Caratelli, D; Terrazas, I Caro; Cavanna, F; Cerati, G; Chen, Y; Cianci, D; Conrad, JM; Convery, M; Cooper-Troendle, L; Crespo-Anadon, JI; Del Tutto, M; Dennis, SR; Detje, P; Devitt, A; Diurba, R; Dorrill, R; Duffy, K; Dytman, S; Eberly, B; Ereditato, A; Evans, JJ; Fine, R; Aguirre, GA Fiorentini; 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; Hen, O; Hilgenberg, C; Horton-Smith, GA; Hourlier, A; Itay, R; James, C; Ji, X; Jiang, L; Jo, JH; Johnson, RA; Jwa, Y-J; Kalra, D; Kamp, N; Kaneshige, N; Karagiorgi, G; Ketchum, W; Kirby, M; Kobilarcik, T; Kreslo, I; Lepetic, I; Li, K; Li, Y; Lin, K; Littlejohn, BR; Louis, WC; Luo, X; Manivannan, K; Mariani, C; Marsden, D; Marshall, J; Caicedo, DA Martinez; Mason, K; Mastbaum, A; McConkey, N; Meddage, V; Mettler, T; Miller, K; Mills, J; Mistry, K; Mogan, A; Mohayai, T; Moon, J; Mooney, M; Moor, AF; Moore, CD; Lepin, L Mora; Mousseau, J; Murphy, M; Naples, D; Navrer-Agasson, A; Nebot-Guinot, M; Neely, RK; Newmark, DA; Nowak, J; Nunes, M; Palamara, O; Paolone, V; Papadopoulou, A; Papavassiliou, V; Pate, SF; Patel, N; Paudel, A; Pavlovic, Z; Piasetzky, E; Ponce-Pinto, ID; Prince, S; Qian, X; Raaf, JL; Radeka, V; Rafique, A; Reggiani-Guzzo, M; Ren, L; Rice, LCJ; Rochester, L; Rondon, J Rodriguez; Rosenberg, M; Ross-Lonergan, M; Scanavini, G; Schmitz, DW; Schukraft, A; Seligman, W; Shaevitz, MH; Sharankova, R; Shi, J; Sinclair, J; Smith, A; Snider, EL; Soderberg, M; Soldner-Rembold, S; Spentzouris, P; Spitz, J; Stancari, M; St John, J; Strauss, T; Sutton, K; Sword-Fehlberg, S; Szelc, AM; Tang, W; Terao, K; Thorpe, C; Totani, D; Toups, M; Tsai, Y-T; Uchida, MA; Usher, T; Van de Pontseele, W; Viren, B; Weber, M; Wei, H; Williams, Z; Wolbers, S; Wongjirad, T; Wospakrik, M; Wresilo, K; Wright, N; Wu, W; Yandel, E; Yang, T; Yarbrough, G; Yates, LE; Yu, HW; Zeller, GP; Zennamo, J; Zhang, C; Collaboration, MicroBooNE

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Authors

Abratenko, P

An, R

Anthony, J

Arellano, L

Asaadi, J

Ashkenazi, A

Balasubramanian, S

Publication Date

2022-05-17

Journal Title

EUROPEAN PHYSICAL JOURNAL C

ISSN

1434-6044

Publisher

Springer Science and Business Media LLC

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Article

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VoR

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Citation

Abratenko, P., An, R., Anthony, J., Arellano, L., Asaadi, J., Ashkenazi, A., Balasubramanian, S., et al. (2022). Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data. EUROPEAN PHYSICAL JOURNAL C, 82 (5) https://doi.org/10.1140/epjc/s10052-022-10270-8

Abstract

AbstractPrimary challenges for current and future precision neutrino experiments using liquid argon time projection chambers (LArTPCs) include understanding detector effects and quantifying the associated systematic uncertainties. This paper presents a novel technique for assessing and propagating LArTPC detector-related systematic uncertainties. The technique makes modifications to simulation waveforms based on a parameterization of observed differences in ionization signals from the TPC between data and simulation, while remaining insensitive to the details of the detector model. The modifications are then used to quantify the systematic differences in low- and high-level reconstructed quantities. This approach could be applied to future LArTPC detectors, such as those used in SBN and DUNE.

Keywords

Regular Article - Experimental Physics

Identifiers

s10052-022-10270-8, 10270

External DOI: https://doi.org/10.1140/epjc/s10052-022-10270-8

This record's URL: https://www.repository.cam.ac.uk/handle/1810/337271

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http://creativecommons.org/licenses/by/4.0/

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