Electromagnetic Shower Reconstruction and Energy Validation with Michel Electrons and $π^0$ Samples for the Deep-Learning-Based Analyses in MicroBooNE
Creators: name: MicroBooNE Collaboration
name: Abratenko, P.
name: An, R.
name: Anthony, J.
name: Arellano, L.
name: Asaadi, J.
name: Ashkenazi, A.
name: Balasubramanian, S.
name: Baller, B.
name: Barnes, C.
name: Barr, G.
name: Basque, V.
name: Bathe-Peters, L.
name: Rodrigues, O. Benevides
name: Berkman, S.
name: Bhanderi, A.
name: Bhat, A.
name: Bishai, M.
name: Blake, A.
name: Bolton, T.
name: Book, J. Y.
name: Camilleri, L.
name: Caratelli, D.
name: Terrazas, I. Caro
name: Cavanna, F.
name: Cerati, G.
name: Chen, Y.
name: Cianci, D.
name: Conrad, J. M.
name: Convery, M.
name: Cooper-Troendle, L.
name: Crespo-Anadon, J. I.
name: Del Tutto, M.
name: Dennis, S. R.
name: Detje, P.
name: Devitt, A.
name: Diurba, R.
name: Dorrill, R.
name: Duffy, K.
name: Dytman, S.
name: Eberly, B.
name: Ereditato, A.
name: Evans, J. J.
name: Fine, R.
name: Aguirre, G. A. Fiorentini
name: Fitzpatrick, R. S.
name: Fleming, B. T.
name: Foppiani, N.
name: Franco, D.
name: Furmanski, A. P.
name: Garcia-Gamez, D.
name: Gardiner, S.
name: Ge, G.
name: Gollapinni, S.
name: Goodwin, O.
name: Gramellini, E.
name: Green, P.
name: Greenlee, H.
name: Gu, W.
name: Guenette, R.
name: Guzowski, P.
name: Hagaman, L.
name: Hen, O.
name: Hilgenberg, C.
name: Horton-Smith, G. A.
name: Hourlier, A.
name: Itay, R.
name: James, C.
name: Ji, X.
name: Jiang, L.
name: Jo, J. H.
name: Johnson, R. A.
name: Jwa, Y. J.
name: Kalra, D.
name: Kamp, N.
name: Kaneshige, N.
name: Karagiorgi, G.
name: Ketchum, W.
name: Kirby, M.
name: Kobilarcik, T.
name: Kreslo, I.
name: Lepetic, I.
name: Li, K.
name: Li, Y.
name: Lin, K.
name: Littlejohn, B. R.
name: Louis, W. C.
name: Luo, X.
name: Manivannan, K.
name: Mariani, C.
name: Marsden, D.
name: Marshall, J.
name: Caicedo, D. A. Martinez
name: Mason, K.
name: Mastbaum, A.
name: McConkey, N.
name: Meddage, V.
name: Mettler, T.
name: Miller, K.
name: Mills, J.
name: Mistry, K.
name: Mohayai, T.
name: Mogan, A.
name: Moon, J.
name: Mooney, M.
name: Moor, A. F.
name: Moore, C. D.
name: Lepin, L. Mora
name: Mousseau, J.
name: Murphy, M.
name: Naples, D.
name: Navrer-Agasson, A.
name: Nebot-Guinot, M.
name: Neely, R. K.
name: Newmark, D. A.
name: Nowak, J.
name: Nunes, M.
name: Palamara, O.
name: Paolone, V.
name: Papadopoulou, A.
name: Papavassiliou, V.
name: Pate, S. F.
name: Patel, N.
name: Paudel, A.
name: Pavlovic, Z.
name: Piasetzky, E.
name: Ponce-Pinto, I.
name: Prince, S.
name: Qian, X.
name: Raaf, J. L.
name: Radeka, V.
name: Rafique, A.
name: Reggiani-Guzzo, M.
name: Ren, L.
name: Rice, L. C. J.
name: Rochester, L.
name: Rondon, J. Rodriguez
name: Rosenberg, M.
name: Ross-Lonergan, M.
name: Scanavini, G.
name: Schmitz, D. W.
name: Schukraft, A.
name: Seligman, W.
name: Shaevitz, M. H.
name: Sharankova, R.
name: Shi, J.
name: Sinclair, J.
name: Smith, A.
name: Snider, E. L.
name: Soderberg, M.
name: Soldner-Rembold, S.
name: Spentzouris, P.
name: Spitz, J.
name: Stancari, M.
name: John, J. St.
name: Strauss, T.
name: Sutton, K.
name: Sword-Fehlberg, S.
name: Szelc, A. M.
name: Tang, W.
name: Terao, K.
name: Thorpe, C.
name: Totani, D.
name: Toups, M.
name: Tsai, Y. -T.
name: Uchida, M. A.
name: Usher, T.
name: Van De Pontseele, W.
name: Viren, B.
name: Weber, M.
name: Wei, H.
name: Williams, Z.
name: Wolbers, S.
name: Wongjirad, T.
name: Wospakrik, M.
name: Wresilo, K.
name: Wright, N.
name: Wu, W.
name: Yandel, E.
name: Yang, T.
name: Yarbrough, G.
name: Yates, L. E.
name: Yu, H. W.
name: Zeller, G. P.
name: Zennamo, J.
name: Zhang, C.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences
subject: FOS: Physical sciences

description: This article presents the reconstruction of the electromagnetic activity from electrons and photons (showers) used in the MicroBooNE deep learning-based low energy electron search. The reconstruction algorithm uses a combination of traditional and deep learning-based techniques to estimate shower energies. We validate these predictions using two $ν_μ$-sourced data samples: charged/neutral current interactions with final state neutral pions and charged current interactions in which the muon stops and decays within the detector producing a Michel electron. Both the neutral pion sample and Michel electron sample demonstrate agreement between data and simulation. Further, the absolute shower energy scale is shown to be consistent with the relevant physical constant of each sample: the neutral pion mass peak and the Michel energy cutoff.
description: 27 pages; matches published version