학술논문
Novel approach for evaluating detector-related uncertainties in a LArTPC using MicroBooNE data
Document Type
article
Author
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; S. Gardiner; G. Ge; S. Gollapinni; O. Goodwin; E. Gramellini; P. Green; H. Greenlee; W. Gu; R. Guenette; P. Guzowski; L. Hagaman; O. Hen; C. Hilgenberg; G. A. Horton-Smith; A. Hourlier; R. Itay; C. James; X. Ji; L. Jiang; J. H. Jo; R. A. Johnson; Y.-J. Jwa; D. Kalra; N. Kamp; N. Kaneshige; G. Karagiorgi; W. Ketchum; M. Kirby; T. Kobilarcik; I. Kreslo; I. Lepetic; K. Li; Y. Li; K. Lin; B. R. Littlejohn; W. C. Louis; X. Luo; K. Manivannan; C. Mariani; D. Marsden; J. Marshall; D. A. Martinez Caicedo; K. Mason; A. Mastbaum; N. McConkey; V. Meddage; T. Mettler; K. Miller; J. Mills; K. Mistry; A. Mogan; T. Mohayai; J. Moon; M. Mooney; A. F. Moor; C. D. Moore; L. Mora Lepin; J. Mousseau; M. Murphy; D. Naples; A. Navrer-Agasson; M. Nebot-Guinot; R. K. Neely; D. A. Newmark; J. Nowak; M. Nunes; O. Palamara; V. Paolone; A. Papadopoulou; V. Papavassiliou; S. F. Pate; N. Patel; A. Paudel; Z. Pavlovic; E. Piasetzky; I. D. Ponce-Pinto; S. Prince; X. Qian; J. L. Raaf; V. Radeka; A. Rafique; M. Reggiani-Guzzo; L. Ren; L. C. J. Rice; L. Rochester; J. Rodriguez Rondon; M. Rosenberg; M. Ross-Lonergan; G. Scanavini; D. W. Schmitz; A. Schukraft; W. Seligman; M. H. Shaevitz; R. Sharankova; J. Shi; J. Sinclair; A. Smith; E. L. Snider; M. Soderberg; S. Söldner-Rembold; P. Spentzouris; J. Spitz; M. Stancari; J. St. John; T. Strauss; K. Sutton; S. Sword-Fehlberg; A. M. Szelc; W. Tang; K. Terao; C. Thorpe; D. Totani; M. Toups; Y.-T. Tsai; M. A. Uchida; T. Usher; W. Van De Pontseele; B. Viren; M. Weber; H. Wei; Z. Williams; S. Wolbers; T. Wongjirad; M. Wospakrik; K. Wresilo; N. Wright; W. Wu; E. Yandel; T. Yang; G. Yarbrough; L. E. Yates; H. W. Yu; G. P. Zeller; J. Zennamo; C. Zhang; MicroBooNE Collaboration
Source
European Physical Journal C: Particles and Fields, Vol 82, Iss 5, Pp 1-14 (2022)
Subject
Language
English
ISSN
1434-6052
Abstract
Abstract 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.