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Neutrino Event Selection in the MicroBooNE Liquid Argon Time Projection Chamber using Wire-Cell 3-D Imaging, Clustering, and Charge-Light Matching | | MicroBooNE collaboration
; P. Abratenko
; M. Alrashed
; R. An
; J. Anthony
; 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
; L. Camilleri
; D. Caratelli
; I. Caro Terrazas
; R. Castillo Fernandez
; F. Cavanna
; G. Cerati
; Y. Chen
; E. Church
; D. Cianci
; J.M. Conrad
; M. Convery
; L. Cooper-Troendle
; J.I. Crespo-Anadon
; M. Del Tutto
; D. Devitt
; R. Diurba
; L. Domine
; R. Dorrill
; K. Duffy
; S. Dytman
; B. Eberly
; A. Ereditato
; L. Escudero Sanchez
; J.J. Evans
; 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
; E. Hall
; P. Hamilton
; O. Hen
; G.A. Horton-Smith
; A. Hourlier
; E.C. Huang
; R. Itay
; C. James
; J. Jan de Vries
; X. Ji
; L. Jiang
; J.H. Jo
; R.A. Johnson
; Y.J. Jwa
; N. Kamp
; G. Karagiorgi
; W. Ketchum
; B. Kirby
; M. Kirby
; T. Kobilarcik
; I. Kreslo
; R. LaZur
; I. Lepetic
; K. Li
; Y. Li
; B.R. Littlejohn
; D. Lorca
; W.C. Louis
; X. Luo
; A. Marchionni
; S. Marcocci
; C. Mariani
; D. Marsden
; J. Marshall
; J. Martin-Albo
; D.A. Martinez Caicedo
; K. Mason
; A. Mastbaum
; N. McConkey
; V. Meddage
; T. Mettler
; K. Miller
; J. Mills
; K. Mistry
; T. Mohayai
; A. Mogan
; J. Moon
; M. Mooney
; A.F. Moor
; C.D. Moore
; J. Mousseau
; M. Murphy
; D. Naples
; A. Navrer-Agasson
; R.K. Neely
; P. Nienaber
; J. Nowak
; O. Palamara
; V. Paolone
; A. Papadopoulou
; V. Papavassiliou
; S.F. Pate
; A. Paudel
; Z. Pavlovic
; E. Piasetzky
; I. Ponce-Pinto
; D. Porzio
; S. Prince
; X. Qian
; J.L. Raaf
; V. Radeka
; A. Rafique
; M. Reggiani-Guzzo
; L. Ren
; L. Rochester
; J. Rodriguez Rondon
; H.E. Rogers
; M. Rosenberg
; M. Ross-Lonergan
; B. Russell
; G. Scanavini
; D.W. Schmitz
; A. Schukraft
; M.H. Shaevitz
; R. Sharankova
; J. Sinclair
; A. Smith
; E.L. Snider
; M. Soderberg
; S. Soldner-Rembold
; S.R. Soleti
; P. Spentzouris
; J. Spitz
; M. Stancari
; J. St. John
; T. Strauss
; K. Sutton
; S. Sword-Fehlberg
; A.M. Szelc
; N. Tagg
; W. Tang
; K. Terao
; C.Thorpe
; M. Toups
; Y.-T. Tsai
; S. Tufanli
; M.A. Uchida
; T. Usher
; W. Van De Pontseele
; B. Viren
; M. Weber
; H. Wei
; Z. Williams
; S. Wolbers
; T. Wongjirad
; M. Wospakrik
; W. Wu
; T. Yang
; G. Yarbrough
; L.E. Yates
; G.P. Zeller
; J. Zennamo
; C. Zhang
; | | Date: |
3 Nov 2020 | | Abstract: | An accurate and efficient event reconstruction is required to realize the
full scientific capability of liquid argon time projection chambers (LArTPCs).
The current and future neutrino experiments that rely on massive LArTPCs create
a need for new ideas and reconstruction approaches. Wire-Cell, proposed in
recent years, is a novel tomographic event reconstruction method for LArTPCs.
The Wire-Cell 3D imaging approach capitalizes on charge, sparsity, time, and
geometry information to reconstruct a topology-agnostic 3D image of the
ionization electrons prior to pattern recognition. A second novel method, the
many-to-many charge-light matching, then pairs the TPC charge activity to the
detected scintillation light signal, thus enabling a powerful rejection of
cosmic-ray muons in the MicroBooNE detector. A robust processing of the
scintillation light signal and an appropriate clustering of the 3D space points
are fundamental to this technique. In this paper, we describe the principles
and algorithms of these techniques and their successful application in the
MicroBooNE experiment. A quantitative evaluation of the performance of these
techniques is presented. Using these techniques, a 95% efficient pre-selection
of neutrino charged-current events is achieved with a 30-fold reduction of
non-beam-coincident cosmic-ray muons, and about 80% of the selected neutrino
charged-current events are well reconstructed with high completeness (at least
70%) and purity (at least 80%). | | Source: | arXiv, 2011.01375 | | Services: | Forum | Review | PDF | Favorites | |
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