Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data Abratenko, P. García Gámez, Diego MicroBooNE Collaboration 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. We also acknowledge the contributions of technical and scientific staff to the design, construction, and operation of the MicroBooNE detector as well as the contributions of past collaborators to the development of MicroBooNE analyses, without whom this work would not have been possible. Primary 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. 2022-06-07T09:01:21Z 2022-06-07T09:01:21Z 2022-05-17 journal article Abratenko, P... [et al.]. Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data. Eur. Phys. J. C 82, 454 (2022). [https://doi.org/10.1140/epjc/s10052-022-10270-8] http://hdl.handle.net/10481/75300 10.1140/epjc/s10052-022-10270-8 eng http://creativecommons.org/licenses/by/3.0/es/ open access Atribución 3.0 España Springer