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MicroBooNE is a liquid-argon-based neutrino experiment, which began collecting data in Fermilab's Booster neutrino beam in October 2015. Physics goals of the experiment include probing the source of the anomalous excess of electron-like…

High Energy Physics - Experiment · Physics 2017-05-16 Marco Del Tutto

The Liquid Argon Time Projection Chamber (LArTPC) technology plays an essential role in many current and future neutrino experiments. Accurate and fast simulation is critical to developing efficient analysis algorithms and precise physics…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-08 Haiwang Yu , Zhihua Dong , Kyle Knoepfel , Meifeng Lin , Brett Viren , Kwangmin Yu

High precision vertex and energy reconstruction is crucial for large liquid scintillator detectors such as JUNO, especially for the determination of the neutrino mass ordering by analyzing the energy spectrum of reactor neutrinos. This…

Instrumentation and Detectors · Physics 2022-12-01 Gui-hong Huang , Wei Jiang , Liang-jian Wen , Yi-fang Wang , Wu-Ming Luo

LArIAT (Liquid Argon In A Testbeam) aims to characterize the response of a liquid argon time projection chamber (LArTPC) to the particles often seen as final-state products of ~1 GeV neutrino interactions in existing and planned detectors.…

Instrumentation and Detectors · Physics 2015-11-04 William Foreman

The Deep Underground Neutrino Experiment (DUNE) is a dual-site experiment for long baseline neutrino oscillation studies, and for neutrino astrophysics and nucleon decay searches. DUNE will comprise four 10 kton fiducial liquid argon…

Instrumentation and Detectors · Physics 2019-10-23 C. Cuesta

The ProtoDUNE-SP detector is a large-scale prototype of the Single-Phase (SP) Liquid Argon Time Projection Chamber (LArTPC) design proposed for the Deep Underground Neutrino Experiment (DUNE). 15,360 LArTPC wires are instrumented with low…

Liquid argon time projection chambers (LArTPCs) are now a standard detector technology for making accelerator neutrino measurements, due to their high material density, precise tracking, and calorimetric capabilities. An electric field…

Instrumentation and Detectors · Physics 2020-08-26 MicroBooNE collaboration , C. Adams , M. Alrashed , R. An , J. Anthony , J. Asaadi , A. Ashkenazi , S. Balasubramanian , B. Baller , C. Barnes , G. Barr , V. Basque , M. Bass , F. Bay , S. Berkman , A. Bhanderi , A. Bhat , M. Bishai , A. Blake , T. Bolton , L. Camilleri , D. Caratelli , I. Caro Terrazas , R. Carr , R. Castillo Fernandez , F. Cavanna , G. Cerati , Y. Chen , E. Church , D. Cianci , E. O. Cohen , J. M. Conrad , M. Convery , L. Cooper-Troendle , J. I. Crespo-Anadon , M. Del Tutto , D. Devitt , A. Diaz , L. Domine , K. Duffy , S. Dytman , B. Eberly , A. Ereditato , L. Escudero Sanchez , J. J. Evans , R. S. Fitzpatrick , B. T. Fleming , N. Foppiani , D. Franco , A. P. Furmanski , D. Garcia-Gamez , S. Gardiner , V. Genty , D. Goeldi , S. Gollapinni , O. Goodwin , E. Gramellini , P. Green , H. Greenlee , R. Grosso , L. Gu , W. Gu , R. Guenette , P. Guzowski , P. Hamilton , O. Hen , C. Hill , 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 , J. Joshi , Y. J. Jwa , G. Karagiorgi , W. Ketchum , B. Kirby , M. Kirby , T. Kobilarcik , I. Kreslo , I. Lepetic , Y. Li , A. Lister , B. R. Littlejohn , S. Lockwitz , D. Lorca , W. C. Louis , M. Luethi , B. Lundberg , X. Luo , A. Marchionni , S. Marcocci , C. Mariani , 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 , C. D. Moore , J. Mousseau , M. Murphy , R. Murrells , D. Naples , R. K. Neely , P. Nienaber , J. Nowak , O. Palamara , V. Pandey , V. Paolone , A. Papadopoulou , V. Papavassiliou , S. F. Pate , A. Paudel , Z. Pavlovic , E. Piasetzky , D. Porzio , S. Prince , G. Pulliam , X. Qian , J. L. Raaf , V. Radeka , A. Rafique , L. Ren , L. Rochester , H. E. Rogers , M. Ross-Lonergan , C. Rudolf von Rohr , B. Russell , G. Scanavini , D. W. Schmitz , A. Schukraft , W. Seligman , 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 , R. T. Thornton , M. Toups , Y. -T. Tsai , S. Tufanli , M. A. Uchida , T. Usher , W. Van De Pontseele , R. G. Van de Water , B. Viren , M. Weber , H. Wei , D. A. Wickremasinghe , Z. Williams , S. Wolbers , T. Wongjirad , K. Woodruff , M. Wospakrik , W. Wu , T. Yang , G. Yarbrough , L. E. Yates , G. P. Zeller , J. Zennamo , C. Zhang

The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas…

High Energy Physics - Experiment · Physics 2023-02-17 MicroBooNE collaboration , R. Acciarri , C. Adams , R. An , J. Anthony , J. Asaadi , M. Auger , L. Bagby , S. Balasubramanian , B. Baller , C. Barnes , G. Barr , M. Bass , F. Bay , M. Bishai , A. Blake , T. Bolton , L. Camilleri , D. Caratelli , B. Carls , R. Castillo Fernandez , F. Cavanna , H. Chen , E. Church , D. Cianci , E. Cohen , G. H. Collin , J. M. Conrad , M. Convery , J. I. Crespo-Anadon , M. Del Tutto , D. Devitt , S. Dytman , B. Eberly , A. Ereditato , L. Escudero Sanchez , J. Esquivel , A. A. Fadeeva , B. T. Fleming , W. Foreman , A. P. Furmanski , D. Garcia-Gomez , G. T. Garvey , V. Genty , D. Goeldi , S. Gollapinni , N. Graf , E. Gramellini , H. Greenlee , R. Grosso , R. Guenette , A. Hackenburg , P. Hamilton , O. Hen , V Hewes , C. Hill , J. Ho , G. Horton-Smith , A. Hourlier , E. -C. Huang , C. James , J. Jan de Vries , C. -M. Jen , L. Jiang , R. A. Johnson , J. Joshi , H. Jostlein , D. Kaleko , G. Karagiorgi , W. Ketchum , B. Kirby , M. Kirby , T. Kobilarcik , I. Kreslo , A. Laube , Y. Li , A. Lister , B. R. Littlejohn , S. Lockwitz , D. Lorca , W. C. Louis , M. Luethi , B. Lundberg , X. Luo , A. Marchionni , C. Mariani , J. Marshall , D. A. Martinez Caicedo , V. Meddage , T. Miceli , G. B. Mills , J. Moon , M. Mooney , C. D. Moore , J. Mousseau , R. Murrells , D. Naples , P. Nienaber , J. Nowak , O. Palamara , V. Paolone , V. Papavassiliou , S. F. Pate , Z. Pavlovic , E. Piasetzky , D. Porzio , G. Pulliam , X. Qian , J. L. Raaf , A. Rafique , L. Rochester , C. Rudolf von Rohr , B. Russell , D. W. Schmitz , A. Schukraft , W. Seligman , M. H. Shaevitz , J. Sinclair , A. Smith , E. L. Snider , M. Soderberg , S. Soldner-Rembold , S. R. Soleti , P. Spentzouris , J. Spitz , J. St. John , T. Strauss , A. M. Szelc , N. Tagg , K. Terao , M. Thomson , M. Toups , Y. -T. Tsai , S. Tufanli , T. Usher , W. Van De Pontseele , R. G. Van de Water , B. Viren , M. Weber , D. A. Wickremasinghe , S. Wolbers , T. Wongjirad , K. Woodruff , T. Yang , L. Yates , G. P. Zeller , J. Zennamo , C. Zhang

In this paper, we consider the physics performance of a single far detector composed of a 100 kton next generation Liquid Argon Time Projection Chamber (LAr TPC) possibly located at shallow depth, coupled to the J-PARC neutrino beam…

High Energy Physics - Phenomenology · Physics 2008-04-15 A. Badertscher , T. Hasegawa , T. Kobayashi , A. Marchionni , A. Meregaglia , T. Maruyama , K. Nishikawa , A. Rubbia

We present a measurement of electron neutrino interactions from the Fermilab Booster Neutrino Beam using the MicroBooNE liquid argon time projection chamber to address the nature of the excess of low energy interactions observed by the…

High Energy Physics - Experiment · Physics 2024-02-02 MicroBooNE collaboration , 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 , G. H. Collin , J. M. Conrad , M. Convery , L. Cooper-Troendle , J. I. Crespo-Anadon , M. Del Tutto , S. R. Dennis , P. Detje , A. Devitt , R. Diurba , R. Dorrill , K. Duffy , S. Dytman , B. Eberly , A. Ereditato , L. Escudero-Sanchez , 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 , V. Genty , 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. Kaleko , D. Kalra , N. Kamp , N. Kaneshige , G. Karagiorgi , W. Ketchum , M. Kirby , T. Kobilarcik , I. Kreslo , R. LaZur , I. Lepetic , K. Li , Y. Li , K. Lin , A. Lister , 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 , T. Mohayai , A. Mogan , 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. 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 , B. Russell , 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. Soldner-Rembold , S. R. Soleti , P. Spentzouris , J. Spitz , M. Stancari , J. St. John , T. Strauss , K. Sutton , S. Sword-Fehlberg , A. M. Szelc , W. Tang , K. Terao , M. Thomson , 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

Massive underground detectors can be considered as sort of observatories for rare physics phenomena like astrophysical neutrino detection and nucleon decay searches. We briefly overview the past tracking calorimeters developed for nucleon…

High Energy Physics - Phenomenology · Physics 2007-05-23 A. Rubbia

The complex events observed at the NOvA long-baseline neutrino oscillation experiment contain vital information for understanding the most elusive particles in the standard model. The NOvA detectors observe interactions of neutrinos from…

Machine Learning · Computer Science 2023-03-14 Alexander Shmakov , Alejandro Yankelevich , Jianming Bian , Pierre Baldi

A liquid Argon TPC (ICARUS-like) has the ability to detect neutrino bursts from type-II supernova collapses, via three processes: elastic scattering by electrons from all neutrino species, and $\nu_e$ charged current absorption on $Ar$ with…

High Energy Physics - Phenomenology · Physics 2007-05-23 A. Bueno , I. Gil-Botella , A. Rubbia

In this paper we present results from a test of a small Liquid Argon Large Electron Multiplier Time Projection Chamber (LAr LEM-TPC). This detector concept provides a 3D-tracking and calorimetric device capable of charge amplification,…

Instrumentation and Detectors · Physics 2011-07-28 A. Badertscher , A. Curioni , S. Horikawa , L. Knecht , D. Lussi , A. Marchionni , G. Natterer , F. Resnati , A. Rubbia , T. Viant

The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline experiment exploiting the liquid argon TPC technology. DUNE will have sensitivity to low energy physics searches, such as the detection of supernova and…

High Energy Physics - Experiment · Physics 2024-02-15 C. Cuesta

This paper presents the custom implementation, optimization, and performance evaluation of convolutional neural networks on field programmable gate arrays, for the purposes of accelerating deep neural network inference on large,…

Instrumentation and Detectors · Physics 2022-01-14 Yeon-Jae Jwa , Giuseppe Di Guglielmo , Luca P. Carloni , Georgia Karagiorgi

Measurements of neutrinos at and below 10 GeV provide unique constraints of neutrino oscillation parameters as well as probes of potential Non-Standard Interactions (NSI). The IceCube Neutrino Observatory's DeepCore array is designed to…

High Energy Astrophysical Phenomena · Physics 2021-07-27 Jessie Micallef

Liquid Argon Time Projection Chambers (LArTPCs) are a class of detectors that produce high resolution images of charged particles within their sensitive volume. In these images, the clustering of distinct particles into superstructures is…

Available estimates for the energy resolution of DUNE vary by as much as a factor of four. To address this controversy, and to connect the resolution to the underlying physical processes, we build an independent simulation pipeline for…

High Energy Physics - Phenomenology · Physics 2019-02-15 Alexander Friedland , Shirley Weishi Li

The use of machine learning techniques has significantly increased the physics discovery potential of neutrino telescopes. In the upcoming years, we are expecting upgrade of currently existing detectors and new telescopes with novel…

High Energy Physics - Experiment · Physics 2023-11-10 Miaochen Jin , Yushi Hu , Carlos A. Argüelles