https://doi.org/10.1140/epjc/s10052-022-10270-8
Regular Article - Experimental Physics
Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data
1
Universität Bern, 3012, Bern, Switzerland
2
Brookhaven National Laboratory (BNL), 11973, Upton, NY, USA
3
University of California, 93106, Santa Barbara, CA, USA
4
University of Cambridge, CB3 0HE, Cambridge, UK
5
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), 28040, Madrid, Spain
6
University of Chicago, 60637, Chicago, IL, USA
7
University of Cincinnati, 45221, Cincinnati, OH, USA
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Colorado State University, 80523, Fort Collins, CO, USA
9
Columbia University, 10027, New York, NY, USA
10
University of Edinburgh, EH9 3FD, Edinburgh, UK
11
Fermi National Accelerator Laboratory (FNAL), 60510, Batavia, IL, USA
12
Universidad de Granada, 18071, Granada, Spain
13
Harvard University, 02138, Cambridge, MA, USA
14
Illinois Institute of Technology (IIT), 60616, Chicago, IL, USA
15
Kansas State University (KSU), 66506, Manhattan, KS, USA
16
Lancaster University, LA1 4YW, Lancaster, UK
17
Los Alamos National Laboratory (LANL), 87545, Los Alamos, NM, USA
18
The University of Manchester, M13 9PL, Manchester, UK
19
Massachusetts Institute of Technology (MIT), 02139, Cambridge, MA, USA
20
University of Michigan, 48109, Ann Arbor, MI, USA
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University of Minnesota, 55455, Minneapolis, MN, USA
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New Mexico State University (NMSU), 88003, Las Cruces, NM, USA
23
University of Oxford, OX1 3RH, Oxford, UK
24
University of Pittsburgh, 15260, Pittsburgh, PA, USA
25
Rutgers University, 08854, Piscataway, NJ, USA
26
SLAC National Accelerator Laboratory, 94025, Menlo Park, CA, USA
27
South Dakota School of Mines and Technology (SDSMT), 57701, Rapid City, SD, USA
28
University of Southern Maine, 04104, Portland, ME, USA
29
Syracuse University, 13244, Syracuse, NY, USA
30
Tel Aviv University, 69978, Tel Aviv, Israel
31
University of Tennessee, 37996, Knoxville, TN, USA
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University of Texas, 76019, Arlington, TX, USA
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Tufts University, 02155, Medford, MA, USA
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Center for Neutrino Physics, Virginia Tech, 24061, Blacksburg, VA, USA
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University of Warwick, CV4 7AL, Coventry, UK
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Wright Laboratory, Department of Physics, Yale University, 06520, New Haven, CT, USA
Received:
8
November
2021
Accepted:
28
March
2022
Published online:
17
May
2022
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.
© The Author(s) 2022
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Funded by SCOAP3
