Electromagnetic shower reconstruction and energy validation with Michel electrons and pi(0) samples for the deep-learning-based analyses in MicroBooNE Abratenko, P. García Gámez, Diego MicroBooNE Collaboration Neutrino detectors Noble liquid detectors (scintillation, ionization, double-phase) Time projection Chambers (TPC) Pattern recognition Cluster finding Calibration and fitting methods This document was prepared by the MicroBooNE collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. MicroBooNE is supported by the following: the U.S. Department of Energy, Office of Science, Offices of High Energy Physics and Nuclear Physics; the U.S. National Science Foundation; the Swiss National Science Foundation; the Science and Technology Facilities Council (STFC), part of the United Kingdom Research and Innovation; the Royal Society (United Kingdom); and The European Union's Horizon 2020 Marie Sklodowska-Curie Actions. Additional support for the laser calibration system and cosmic ray tagger was provided by the Albert Einstein Center for Fundamental Physics, Bern, Switzerland. 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 nu(mu)-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. 2022-03-24T13:45:15Z 2022-03-24T13:45:15Z 2022-03-01 journal article Published version: The MicroBooNE Collaboration... [et al.], 2021 JINST 16 T12017. [10.1088/1748-0221/16/12/T12017] http://hdl.handle.net/10481/73735 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ open access Atribución-NoComercial-SinDerivadas 3.0 España Institute of Physics