Neutrino event selection in the MicroBooNE liquid argon time projection chamber using Wire-Cell 3D imaging, clustering, and charge-light matching
Authors: Abratenko P. , Alrashed M. , An R. , Anthony J. , Asaadi J. , Ashkenazi A. , Balasubramanian S. , Baller B. , Barnes C. , Barr G. , Basque V. , Bathe-Peters L. , Benevides Rodrigues O. , Berkman S. , Bhanderi A. , Bhat A. , Bishai M. , Blake A. , Bolton T. , Camilleri L. , Caratelli D. , Caro Terrazas I. , Castillo Fernandez R. , Cavanna F. , Cerati G. , Chen Y. , Church E. , Cianci D. , Conrad J.M. , Convery M. , Cooper-Troendle L. , Crespo-Anadón J.I. , Del Tutto M. , Devitt D. , Diurba R. , Domine L. , Dorrill R. , Duffy K. , Dytman S. , Eberly B. , Ereditato A. , Escudero Sanchez L. , Evans J.J. , Fiorentini Aguirre G.A. , Fitzpatrick R.S. , Fleming B.T. , Foppiani N. , Franco D. , Furmanski A.P. , Garcia-Gamez D. , Gardiner S. , Ge G. , Gollapinni S. , Goodwin O. , Gramellini E. , Green P. , Greenlee H. , Gu W. , Guenette R. , Guzowski P. , Hall E. , Hamilton P. , Hen O. , Horton-Smith G.A. , Hourlier A. , Huang E.C. , Itay R. , James C. , Jan de Vries J. , Ji X. , Jiang L. , Jo J.H. , Johnson R.A. , Jwa Y.-J. , Kamp N. , Karagiorgi G. , Ketchum W. , Kirby B. , Kirby M. , Kobilarcik T. , Kreslo I. , LaZur R. , Lepetic I. , Li K. , Li Y. , Littlejohn B.R. , Lorca D. , Louis W.C. , Luo X. , Marchionni A. , Marcocci S. , Mariani C. , Marsden D. , Marshall J. , Martin-Albo J. , Martinez Caicedo D.A. , Mason K. , Mastbaum A. , McConkey N. , Meddage V. , Mettler T. , Miller K. , Mills J. , Mistry K. , Mogan A. , Mohayai T. , Moon J. , Mooney M. , Moor A.F. , Moore C.D. , Mousseau J. , Murphy M. , Naples D. , Navrer-Agasson A. , Neely R.K. , Nienaber P. , Nowak J. , Palamara O. , Paolone V. , Papadopoulou A. , Papavassiliou V. , Pate S.F. , Paudel A. , Pavlovic Z. , Piasetzky E. , Ponce-Pinto I.D. , Porzio D. , Prince S. , Qian X. , Raaf J.L. , Radeka V. , Rafique A. , Reggiani-Guzzo M. , Ren L. , Rochester L. , Rodriguez Rondon J. , Rogers H.E. , Rosenberg M. , Ross-Lonergan M. , Russell B. , Scanavini G. , Schmitz D.W. , Schukraft A. , Shaevitz M.H. , Sharankova R. , Sinclair J. , Smith A. , Snider E.L. , Soderberg M. , Söldner-Rembold S. , Soleti S.R. , Spentzouris P. , Spitz J. , Stancari M. , St. John J. , Strauss T. , Sutton K. , Sword-Fehlberg S. , Szelc A.M. , Tagg N. , Tang W. , Terao K. , Thorpe C. , Toups M. , Tsai Y.-T. , Tufanli S. , Uchida M.A. , Usher T. , Van De Pontseele W. , Viren B. , Weber M. , Wei H. , Williams Z. , Wolbers S. , Wongjirad T. , Wospakrik M. , Wu W. , Yang T. , Yarbrough G. , Yates L.E. , Yu H.W. , Zeller G.P. , Zennamo J. , Zhang C. 
Published: June 2021

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 reconstructed 3D image 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 reconstructed with at least 70%
completeness and 80% purity.