Paper

Reconstruction and Measurement of \\(\\mathcal{O}\\)(100) MeV Energy Electromagnetic Activity from \\(\\pi^0 \\rightarrow \\gamma\\gamma\\) Decays in the MicroBooNE LArTPC

Nienaber, P, Duffy, K, Shaevitz, M H, Asaadi, J, Usher, T, R G Van de Water, Pandey, V, Diaz, A, Wei, H, Thornton, R T, Cianci, D, X Ji, Anthony, J, Barnes, C, Fitzpatrick, R S, Yang, T, Moore, C D, Genty, V, Jiang, L, Kreslo, I, Blake, A, Tufanli, S, Pate, S F, Neely, R K, Scanavini, G, Mohayai, T, Paolone, V, Carr, R, Basque, V, de Vries, J Jan, Mooney, M, Seligman, W, Bolton, T, Jwa, Y J, Guzowski, P, Marchionni, A, Goeldi, D, Johnson, R A, Piasetzky, E, Bay, F, Prince, S, Viren, B, I Caro Terrazas, Garcia-Gamez, D, Cohen, E O, R Castillo Fernandez, L Gu, Wospakrik, M, Smith, A, Papavassiliou, V, Sword-Fehlberg, S, Soderberg, M, Balasubramanian, S, Barr, G, Soleti, S R, Murrells, R, Sinclair, J, Wickremasinghe, D A, Luethi, M, Lister, A, W Wu, Qian, X, Alrashed, M, Lundberg, B, Ren, L, Y -T Tsai, Hen, O, Hourlier, A, Berkman, S, Bhanderi, A, Kobilarcik, T, Domine, L, Convery, M, Mettler, T, W Gu, Hill, C, Littlejohn, B R, Meddage, V, Van De Pontseele, W, von Rohr, C Rudolf, Williams, Z, Grosso, R, Szelc, A M, Moon, J, Ereditato, A, Horton-Smith, G A, Cerati, G, Zhang, C, Murphy, M, Cooper-Troendle, L, Rochester, L, Sutton, K, Mistry, K, Sharankova, R, Franco, D, Gollap

2019

Overview

We present results on the reconstruction of electromagnetic (EM) activity from photons produced in charged current \\(\\nu_{\\mu}\\) interactions with final state \\(\\pi^0\\)s. We employ a fully-automated reconstruction chain capable of identifying EM showers of \\(\\mathcal{O}\\)(100) MeV energy, relying on a combination of traditional reconstruction techniques together with novel machine-learning approaches. These studies demonstrate good energy resolution, and good agreement between data and simulation, relying on the reconstructed invariant \\(\\pi^0\\) mass and other photon distributions for validation. The reconstruction techniques developed are applied to a selection of \\(\\nu_{\\mu} + {\\rm Ar} \\rightarrow \\mu + \\pi^0 + X\\) candidate events to demonstrate the potential for calorimetric separation of photons from electrons and reconstruction of \\(\\pi^0\\) kinematics.

• Publisher: Cornell University Library, arXiv.org
• Subject: Energy resolution / Kinematics / Machine learning / Photons / Reconstruction