Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data

被引：0
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作者：
P. Abratenko
R. An
J. Anthony
L. Arellano
J. Asaadi
A. Ashkenazi
S. Balasubramanian
B. Baller
C. Barnes
G. Barr
V. Basque
L. Bathe-Peters
O. Benevides Rodrigues
S. Berkman
A. Bhanderi
A. Bhat
M. Bishai
A. Blake
T. Bolton
J. Y. Book
L. Camilleri
D. Caratelli
I. Caro Terrazas
F. Cavanna
G. Cerati
Y. Chen
D. Cianci
J. M. Conrad
M. Convery
L. Cooper-Troendle
J. I. Crespo-Anadón
M. Del Tutto
S. R. Dennis
P. Detje
A. Devitt
R. Diurba
R. Dorrill
K. Duffy
S. Dytman
B. Eberly
A. Ereditato
J. J. Evans
R. Fine
G. A. Fiorentini Aguirre
R. S. Fitzpatrick
B. T. Fleming
N. Foppiani
D. Franco
A. P. Furmanski
D. Garcia-Gamez
机构：
[1] Universität Bern,Centro de Investigaciones Energéticas
[2] Brookhaven National Laboratory (BNL),Wright Laboratory, Department of Physics
[3] University of California,undefined
[4] University of Cambridge,undefined
[5] Medioambientales y Tecnológicas (CIEMAT),undefined
[6] University of Chicago,undefined
[7] University of Cincinnati,undefined
[8] Colorado State University,undefined
[9] Columbia University,undefined
[10] University of Edinburgh,undefined
[11] Fermi National Accelerator Laboratory (FNAL),undefined
[12] Universidad de Granada,undefined
[13] Harvard University,undefined
[14] Illinois Institute of Technology (IIT),undefined
[15] Kansas State University (KSU),undefined
[16] Lancaster University,undefined
[17] Los Alamos National Laboratory (LANL),undefined
[18] The University of Manchester,undefined
[19] Massachusetts Institute of Technology (MIT),undefined
[20] University of Michigan,undefined
[21] University of Minnesota,undefined
[22] New Mexico State University (NMSU),undefined
[23] University of Oxford,undefined
[24] University of Pittsburgh,undefined
[25] Rutgers University,undefined
[26] SLAC National Accelerator Laboratory,undefined
[27] South Dakota School of Mines and Technology (SDSMT),undefined
[28] University of Southern Maine,undefined
[29] Syracuse University,undefined
[30] Tel Aviv University,undefined
[31] University of Tennessee,undefined
[32] University of Texas,undefined
[33] Tufts University,undefined
[34] Center for Neutrino Physics,undefined
[35] Virginia Tech,undefined
[36] University of Warwick,undefined
[37] Yale University,undefined
来源：
The European Physical Journal C | / 82卷
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摘要：
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.
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