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Among liquid argon time projection chamber (LArTPC) experiments MicroBooNE is the one that continually took physics data for the longest time (2015-2021), and represents the state of the art for reconstruction and analysis with this…

High Energy Physics - Experiment · Physics 2023-12-13 Giuseppe Cerati

Large (up to $\sim 100$ kt) liquid argon time-projection chamber detectors are presently being considered for proton decay searches and neutrino astrophysics, as well as for far detectors for the next generation of long-baseline neutrino…

Instrumentation and Detectors · Physics 2015-06-16 Alberto Marchionni

Power density constraints are limiting the performance improvements of modern CPUs. To address this we have seen the introduction of lower-power, multi-core processors such as GPGPU, ARM and Intel MIC. To stay within the power density…

Neutrino oscillation measurements depend on a difference between the rate of neutrino-nucleus interactions at different neutrino energies or different distances from the source. Knowledge of the neutrino energy spectrum and…

High Energy Physics - Experiment · Physics 2016-10-12 L. B. Weinstein , O. Hen , E. Piasetzky

In the High-Luminosity Large Hadron Collider (HL-LHC), one of the most challenging computational problems is expected to be finding and fitting charged-particle tracks during event reconstruction. The methods currently in use at the LHC are…

Interest in parallel architectures applied to real time selections is growing in High Energy Physics (HEP) experiments. In this paper we describe performance measurements of Graphic Processing Units (GPUs) and Intel Many Integrated Core…

Instrumentation and Detectors · Physics 2014-11-26 S. Amerio , D. Bastieri , M. Corvo , A. Gianelle , W. Ketchum , T. Liu , A. Lonardo , D. Lucchesi , S. Poprocki , R. Rivera , L. Tosoratto , P. Vicini , P. Wittich

Liquid argon time projection chambers (LArTPCs) provide dense, high-fidelity 3D measurements of particle interactions and underpin current and future neutrino and rare-event experiments. Physics reconstruction typically relies on complex…

High Energy Physics - Experiment · Physics 2025-12-02 Samuel Young , Kazuhiro Terao

This article describes a new experimental method for accelerator based neutrino experiments called neutrino tagging. The method consists in exploiting the neutrino production mechanism, the $\pi^{\pm}\to\mu^{\pm}\nu_\mu$ decay, to…

High Energy Physics - Experiment · Physics 2022-06-02 Mathieu Perrin-Terrin

The High Luminosity upgrade of the Large Hadron Collider (HL-LHC) will produce particle collisions with up to 200 simultaneous proton-proton interactions. These unprecedented conditions will create a combinatorial complexity for…

This study concerns with the diagnosis of aerospace structure defects by applying a HPC parallel implementation of a novel learning algorithm, named U-BRAIN. The Soft Computing approach allows advanced multi-parameter data processing in…

Artificial Intelligence · Computer Science 2016-10-19 Gianni D'Angelo , Salvatore Rampone

Scintillation light is used in liquid argon (LAr) neutrino detectors to provide a trigger signal, veto information against cosmic rays, and absolute event timing. In this work, we discuss additional opportunities offered by detectors with…

Instrumentation and Detectors · Physics 2015-01-27 M. Sorel

Neutrons are important final-state particles in neutrino interactions, yet they are not considered or reconstructed in most current neutrino LArTPC physics analyses. In this paper, we present a simulation-based proof-of-concept study of…

High Energy Physics - Experiment · Physics 2026-04-14 Miguel Hernandez Morquecho , Bryce Littlejohn , Paola Sala , Linyan Wan

The ATLAS experiment at CERN measures energy of proton-proton (p-p) collisions with a repetition frequency of 40 MHz at the Large Hadron Collider (LHC). The readout electronics of liquid-argon (LAr) calorimeters are being prepared for high…

Instrumentation and Detectors · Physics 2022-04-20 Nemer Chiedde

The electron scattering has been a vital tool to study the properties of the target nucleus for over five decades. Though, the particular interest on $^{40}$Ar nucleus stemmed from the progress in the accelerator-based neutrino-oscillation…

Considering the models that apply the contextual information of time-series data could improve the fault diagnosis performance, some neural network structures such as RNN, LSTM, and GRU were proposed to model the fault diagnosis…

Machine Learning · Computer Science 2022-08-25 Chun Yang

Modern neutrino detectors, particularly the large liquid argon time projection chambers (LAr TPCs) at SBN and DUNE, provide an unprecedented amount of information about GeV-scale interactions. By taking advantage of the excellent spatial…

High Energy Physics - Experiment · Physics 2021-07-07 Andrew P. Furmanski , Christopher Hilgenberg

Wire-Cell is a 3D event reconstruction package for liquid argon time projection chambers. Through geometry, time, and drifted charge from multiple readout wire planes, 3D space points with associated charge are reconstructed prior to the…

Instrumentation and Detectors · Physics 2022-04-07 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 , R. Castillo Fernandez , F. Cavanna , G. Cerati , Y. Chen , D. Cianci , 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 , 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 , R. LaZur , 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 , 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 , 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 , 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

Deploying DNNs on System-on-Chips (SoC) with multiple heterogeneous acceleration engines is challenging, and the majority of deployment frameworks cannot fully exploit heterogeneity. We present MATCHA, a unified DNN deployment framework…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-13 Enrico Russo , Mohamed Amine Hamdi , Alessandro Ottaviano , Francesco Conti , Angelo Garofalo , Daniele Jahier Pagliari , Maurizio Palesi , Luca Benini , Alessio Burrello

MicroBooNE is a neutrino experiment located in the Booster Neutrino Beamline (BNB) at Fermilab, which collected data from 2015 to 2021. MicroBooNE's liquid argon time projection chamber (LArTPC) is accompanied by a photon detection system…

High Energy Physics - Experiment · Physics 2023-08-31 MicroBooNE collaboration , P. Abratenko , O. Alterkait , D. Andrade Aldana , J. Anthony , L. Arellano , J. Asaadi , A. Ashkenazi , S. Balasubramanian , B. Baller , G. Barr , J. Barrow , V. Basque , O. Benevides Rodrigues , S. Berkman , A. Bhanderi , M. Bhattacharya , M. Bishai , A. Blake , B. Bogart , T. Bolton , J. Y. Book , L. Camilleri , Y. Cao , D. Caratelli , I. Caro Terrazas , F. Cavanna , G. Cerati , Y. Chen , J. M. Conrad , M. Convery , L. Cooper-Troendle , J. I. Crespo-Anadon , M. Del Tutto , S. R. Dennis , P. Detje , A. Devitt , R. Diurba , Z. Djurcic , R. Dorrill , K. Duffy , S. Dytman , B. Eberly , A. Ereditato , J. J. Evans , R. Fine , O. G. Finnerud , B. T. Fleming , N. Foppiani , W. Foreman , 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 , R. Hicks , C. Hilgenberg , G. A. Horton-Smith , Z. Imani , B. Irwin , R. Itay , C. James , X. Ji , L. Jiang , J. H. Jo , R. A. Johnson , Y. J. Jwa , D. Kalra , N. Kamp , G. Karagiorgi , W. Ketchum , M. Kirby , T. Kobilarcik , I. Kreslo , M. B. Leibovitch , I. Lepetic , J. -Y. Li , K. Li , Y. Li , K. Lin , B. R. Littlejohn , W. C. Louis , X. Luo , C. Mariani , D. Marsden , J. Marshall , N. Martinez , D. A. Martinez Caicedo , K. Mason , A. Mastbaum , N. McConkey , V. Meddage , K. Miller , J. Mills , K. Mistry , T. Mohayai , A. Mogan , M. Mooney , A. F. Moor , C. D. Moore , L. Mora Lepin , J. Mousseau , S. Mulleria Babu , D. Naples , A. Navrer-Agasson , N. Nayak , M. Nebot-Guinot , J. Nowak , N. Oza , O. Palamara , N. Pallat , V. Paolone , A. Papadopoulou , V. Papavassiliou , H. Parkinson , S. F. Pate , N. Patel , Z. Pavlovic , E. Piasetzky , I. Ponce-Pinto , I. Pophale , S. Prince , X. Qian , J. L. Raaf , V. Radeka , A. Rafique , M. Reggiani-Guzzo , L. Ren , L. Rochester , J. Rodriguez Rondon , M. Rosenberg , M. Ross-Lonergan , C. Rudolph von Rohr , G. Scanavini , D. W. Schmitz , A. Schukraft , W. Seligman , M. H. Shaevitz , R. Sharankova , J. Shi , E. L. Snider , M. Soderberg , S. Soldner-Rembold , J. Spitz , M. Stancari , J. St. John , T. Strauss , S. Sword-Fehlberg , A. M. Szelc , W. Tang , N. Taniuchi , K. Terao , C. Thorpe , D. Torbunov , D. Totani , M. Toups , Y. -T. Tsai , J. Tyler , M. A. Uchida , T. Usher , B. Viren , M. Weber , H. Wei , A. J. White , Z. Williams , S. Wolbers , T. Wongjirad , M. Wospakrik , K. Wresilo , N. Wright , W. Wu , E. Yandel , T. Yang , L. E. Yates , H. W. Yu , G. P. Zeller , J. Zennamo , C. Zhang
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