scholarly journals ArgoNeuT, a liquid argon time projection chamber in a low energy neutrino beam

2010 ◽  
Vol 203 ◽  
pp. 012108 ◽  
Author(s):  
Joshua Spitz ◽  
2017 ◽  
Vol 95 (7) ◽  
Author(s):  
R. Acciarri ◽  
C. Adams ◽  
J. Asaadi ◽  
B. Baller ◽  
T. Bolton ◽  
...  

2006 ◽  
Vol 74 (11) ◽  
Author(s):  
F. Arneodo ◽  
P. Benetti ◽  
M. Bonesini ◽  
A. Borio di Tigliole ◽  
B. Boschetti ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
M. Antonello ◽  
B. Baibussinov ◽  
P. Benetti ◽  
E. Calligarich ◽  
N. Canci ◽  
...  

Liquid Argon Time Projection Chamber (LAr TPC) detectors offer charged particle imaging capability with remarkable spatial resolution. Precise event reconstruction procedures are critical in order to fully exploit the potential of this technology. In this paper we present a new, general approach to 3D reconstruction for the LAr TPC with a practical application to the track reconstruction. The efficiency of the method is evaluated on a sample of simulated tracks. We present also the application of the method to the analysis of stopping particle tracks collected during the ICARUS T600 detector operation with the CNGS neutrino beam.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
C. E. Aalseth ◽  
P. Agnes ◽  
A. Alton ◽  
K. Arisaka ◽  
D. M. Asner ◽  
...  

Although the existence of dark matter is supported by many evidences, based on astrophysical measurements, its nature is still completely unknown. One major candidate is represented by weakly interacting massive particles (WIMPs), which could in principle be detected through their collisions with ordinary nuclei in a sensitive target, producing observable low-energy (<100 keV) nuclear recoils. The DarkSide program aims at the WIPMs detection using a liquid argon time projection chamber (LAr-TPC). In this paper we quickly review the DarkSide program focusing in particular on the next generation experiment DarkSide-G2, a 3.6-ton LAr-TPC. The different detector components are described as well as the improvements needed to scale the detector from DarkSide-50 (50 kg LAr-TPC) up to DarkSide-G2. Finally, the preliminary results on background suppression and expected sensitivity are presented.


2022 ◽  
Vol 17 (01) ◽  
pp. P01018
Author(s):  
R. Acciarri ◽  
B. Baller ◽  
V. Basque ◽  
C. Bromberg ◽  
F. Cavanna ◽  
...  

Abstract The liquid argon time projection chamber (LArTPC) detector technology has an excellent capability to measure properties of low-energy neutrinos produced by the sun and supernovae and to look for exotic physics at very low energies. In order to achieve those physics goals, it is crucial to identify and reconstruct signals in the waveforms recorded on each TPC wire. In this paper, we report on a novel algorithm based on a one-dimensional convolutional neural network (CNN) to look for the region-of-interest (ROI) in raw waveforms. We test this algorithm using data from the ArgoNeuT experiment in conjunction with an improved noise mitigation procedure and a more realistic data-driven noise model for simulated events. This deep-learning ROI finder shows promising performance in extracting small signals and gives an efficiency approximately twice that of the traditional algorithm in the low energy region of ∼0.03–0.1 MeV. This method offers great potential to explore low-energy physics using LArTPCs.


Author(s):  
Peter J. Doe ◽  
Richard C. Allen ◽  
Steven D. Biller ◽  
Gerhard Bühler ◽  
Wayne A. Johnson ◽  
...  

2021 ◽  
Vol 81 (4) ◽  
Author(s):  
Diego Garcia-Gamez ◽  
Patrick Green ◽  
Andrzej M. Szelc

AbstractLiquid argon is being employed as a detector medium in neutrino physics and Dark Matter searches. A recent push to expand the applications of scintillation light in Liquid Argon Time Projection Chamber neutrino detectors has necessitated the development of advanced methods of simulating this light. The presently available methods tend to be prohibitively slow or imprecise due to the combination of detector size and the amount of energy deposited by neutrino beam interactions. In this work we present a semi-analytical model to predict the quantity of argon scintillation light observed by a light detector with a precision better than $$10\%$$ 10 % , based only on the relative positions between the scintillation and light detector. We also provide a method to predict the distribution of arrival times of these photons accounting for propagation effects. Additionally, we present an equivalent model to predict the number of photons and their arrival times in the case of a wavelength-shifting, highly-reflective layer being present on the detector cathode. Our proposed method can be used to simulate light propagation in large-scale liquid argon detectors such as DUNE or SBND, and could also be applied to other detector mediums such as liquid xenon or xenon-doped liquid argon.


2020 ◽  
Vol 32 (2) ◽  
pp. 025902
Author(s):  
E Baracchini ◽  
L Benussi ◽  
S Bianco ◽  
C Capoccia ◽  
M Caponero ◽  
...  

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