scholarly journals A deep-learning based raw waveform region-of-interest finder for the liquid argon time projection chamber

2022 ◽  
Vol 17 (01) ◽  
pp. P01018
Author(s):  
R. Acciarri ◽  
B. Baller ◽  
V. Basque ◽  
C. Bromberg ◽  
F. Cavanna ◽  
...  
Keyword(s):  
Deep Learning ◽  
Time Projection Chamber ◽  
Region Of Interest ◽  
Liquid Argon ◽  
Low Energy ◽  
Noise Model ◽  
Noise Mitigation ◽  
Low Energies ◽  
Exotic Physics ◽  
Time Projection

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.

scholarly journals First observation of low energy electron neutrinos in a liquid argon time projection chamber

2017 ◽  
Vol 95 (7) ◽  
Author(s):  
R. Acciarri ◽  
C. Adams ◽  
J. Asaadi ◽  
B. Baller ◽  
T. Bolton ◽  
...  
Keyword(s):  
Time Projection Chamber ◽  
Liquid Argon ◽  
Low Energy ◽  
Energy Electron ◽  
Electron Neutrinos ◽  
Low Energy Electron ◽  
Time Projection

scholarly journals Scaling studies for deep learning in Liquid Argon Time Projection Chamber event classification

2019 ◽  
Vol 214 ◽  
pp. 06016
Author(s):  
Jan Strube ◽  
Kolahal Bhattacharya ◽  
Eric Church ◽  
Jeff Daily ◽  
Schram Malachi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Time Projection Chamber ◽  
Liquid Argon ◽  
Classification Problem ◽  
Classification Performance ◽  
Network Architectures ◽  
Neutrino Detectors ◽  
Large Size ◽  
Learning Techniques ◽  
Time Projection

Measurements in Liquid Argon Time Projection Chamber neutrino detectors feature large, high fidelity event images. Deep learning techniques have been extremely successful in classification tasks of photographs, but their application to these event images is challenging, due to the large size of the events, more two orders of magnitude larger than images found in classical challenges like MNIST or ImageNet. This leads to extremely long training cycles, which slow down the exploration of new network architectures and hyperpa-rameter scans to improve the classification performance. We present studies of scaling an LArTPC classification problem on multiple architectures, spanning multiple nodes. The studies are carried out in simulated events in the Micro-BooNE detector.

scholarly journals The DarkSide Multiton Detector for the Direct Dark Matter Search

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
C. E. Aalseth ◽  
P. Agnes ◽  
A. Alton ◽  
K. Arisaka ◽  
D. M. Asner ◽  
...  
Keyword(s):  
Dark Matter ◽  
Time Projection Chamber ◽  
Liquid Argon ◽  
Weakly Interacting Massive Particles ◽  
Low Energy ◽  
Background Suppression ◽  
Dark Matter Search ◽  
Nuclear Recoils ◽  
Time Projection ◽  
Direct Dark Matter

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.

A large scale purification system for a liquid argon time projection chamber

1987 ◽  
Vol 258 (2) ◽  
pp. 170-176 ◽  
Author(s):  
Peter J. Doe ◽  
Richard C. Allen ◽  
Steven D. Biller ◽  
Gerhard Bühler ◽  
Wayne A. Johnson ◽  
...  
Keyword(s):  
Time Projection Chamber ◽  
Large Scale ◽  
Liquid Argon ◽  
Purification System ◽  
Time Projection

scholarly journals Precision measurements on oxygen formation in stellar helium burning with gamma-ray beams and a Time Projection Chamber

2021 ◽  
Author(s):  
Robin Smith ◽  
Moshe Gai ◽  
Sarah Stern ◽  
Deran Schweitzer ◽  
Mohammad Ahmed
Keyword(s):  
Time Projection Chamber ◽  
Gamma Ray ◽  
Nuclear Reactions ◽  
Angular Distributions ◽  
Helium Burning ◽  
Low Energies ◽  
Important Input ◽  
Novel Method ◽  
Time Projection ◽  
First Time

Abstract Stellar Evolution theory relies on our knowledge of nuclear reactions, with the carbon/oxygen (C/O) ratio, at the end of helium burning, being the single most important input. However, the C/O ratio is still not known with sufficient accuracy, due to large uncertainties in the cross section for the fusion of helium with 12C to form 16O, denoted as the 12C(α,γ)16O reaction. We present initial results at moderately low energies using a novel method, which is significantly different from the experimental efforts of the past four decades. Precise angular distributions of the 12C(α,γ)16O reaction were obtained by measuring the inverse 16O(γ,α)12C reaction with gamma-beams and a Time Projection Chamber detector. These allowed us to measure, for the first time, the interference angle of the l = 1 and 2 partial waves contributing to this reaction (φ12), which agrees with predictions based on the unitarity of the scattering matrix.

scholarly journals Identification of low energy nuclear recoils in a gas time projection chamber with optical readout

2020 ◽  
Vol 32 (2) ◽  
pp. 025902
Author(s):  
E Baracchini ◽  
L Benussi ◽  
S Bianco ◽  
C Capoccia ◽  
M Caponero ◽  
...  
Keyword(s):  
Time Projection Chamber ◽  
Low Energy ◽  
Optical Readout ◽  
Nuclear Recoils ◽  
Time Projection
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