scholarly journals Augmented signal processing in Liquid Argon Time Projection Chambers with a deep neural network

2021 ◽  
Vol 16 (01) ◽  
pp. P01036-P01036
Author(s):  
H.W. Yu ◽  
M. Bishai ◽  
W.Q. Gu ◽  
M.F. Lin ◽  
X. Qian ◽  
...  
2021 ◽  
Vol 251 ◽  
pp. 03054 ◽  
Author(s):  
Jeremy Hewes ◽  
Adam Aurisano ◽  
Giuseppe Cerati ◽  
Jim Kowalkowski ◽  
Claire Lee ◽  
...  

This paper presents a graph neural network (GNN) technique for low-level reconstruction of neutrino interactions in a Liquid Argon Time Projection Chamber (LArTPC). GNNs are still a relatively novel technique, and have shown great promise for similar reconstruction tasks in the LHC. In this paper, a multihead attention message passing network is used to classify the relationship between detector hits by labelling graph edges, determining whether hits were produced by the same underlying particle, and if so, the particle type. The trained model is 84% accurate overall, and performs best on the EM shower and muon track classes. The model’s strengths and weaknesses are discussed, and plans for developing this technique further are summarised.


2021 ◽  
Vol 2021 (4) ◽  
Author(s):  
C. Alt ◽  
B. Radics ◽  
A. Rubbia

Abstract We report on an updated sensitivity for proton decay via p → $$ \overline{\nu} $$ ν ¯ K+ at large, dual phase liquid argon time projection chambers (LAr TPCs). Our work builds on a previous study in which several nucleon decay modes have been simulated and analyzed [1]. At the time several assumptions were needed to be made on the detector and the backgrounds. Since then, the community has made progress in defining these, and the computing power available enables us to fully simulate and reconstruct large samples in order to perform a better estimate of the sensitivity to proton decay. In this work, we examine the benchmark channel p → $$ \overline{\nu} $$ ν ¯ K+, which was previously found to be one of the cleanest channels. Using an improved neutrino event generator and a fully simulated LAr TPC detector response combined with a dedicated neural network for kaon identification, we demonstrate that a lifetime sensitivity of τ /Br (p → $$ \overline{\nu} $$ ν ¯ K+) > 7 × 1034 years at 90% confidence level can be reached at an exposure of 1 megaton · year in quasi-background-free conditions, confirming the superiority of the LAr TPC over other technologies to address the challenging proton decay modes.


Instruments ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 9 ◽  
Author(s):  
Jonathan Asaadi ◽  
Martin Auger ◽  
Antonio Ereditato ◽  
Damian Goeldi ◽  
Umut Kose ◽  
...  

Traditional charge readout technologies of single-phase Liquid Argon Time projection Chambers (LArTPCs) based on projective wire readout introduce intrinsic ambiguities in event reconstruction. Combined with the slow response inherent in LArTPC detectors, reconstruction ambiguities have limited their performance, until now. Here, we present a proof of principle of a pixelated charge readout that enables the full 3D tracking capabilities of LArTPCs. We characterize the signal-to-noise ratio of charge readout chain to be about 14, and demonstrate track reconstruction on 3D space points produced by the pixel readout. This pixelated charge readout makes LArTPCs a viable option for high-multiplicity environments.


2019 ◽  
Vol 99 (1) ◽  
Author(s):  
R. Acciarri ◽  
C. Adams ◽  
J. Asaadi ◽  
B. Baller ◽  
T. Bolton ◽  
...  

2018 ◽  
Vol 1143 ◽  
pp. 012003
Author(s):  
H da Motta ◽  
A A Machado ◽  
L Paulucci ◽  
E Segreto ◽  
A Fauth ◽  
...  

2020 ◽  
Vol 102 (9) ◽  
Author(s):  
W. Castiglioni ◽  
W. Foreman ◽  
B. R. Littlejohn ◽  
M. Malaker ◽  
I. Lepetic ◽  
...  

2020 ◽  
Vol 15 (03) ◽  
pp. C03057-C03057
Author(s):  
L. Romero ◽  
J.M. Cela ◽  
E. Sanchez Garcia ◽  
M. Daniel ◽  
M. de Prado

2013 ◽  
Vol 53 (A) ◽  
pp. 776-781
Author(s):  
Christian Farnese

Liquid Argon Time Projection Chambers are very promising detectors for neutrino and astroparticle physics due to their high granularity, good energy resolution and 3D imaging, allowing for a precise event reconstruction. ICARUS T600 is the largest liquid Argon (LAr) TPC detector ever built (~600 ton LAr mass) and is presently operating underground at the LNGS laboratory. This detector, internationally considered as the milestone towards the realization of the next generation of massive detectors (~tens of ktons) for neutrino and rare event physics, has been smoothly running since summer 2010, collecting data with the CNGS beam and with cosmics. The status of this detector will be shortly described together with the intent to adopt the LAr TPC technology at CERN as a possible solution to the sterile neutrino puzzle.


Author(s):  
Shreeram Suresh Chandra ◽  
Akshay Upadhye ◽  
Purushothaman Saravanan ◽  
Sanjeev Gurugopinath ◽  
R. Muralishankar

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