Enhancing neutrino event reconstruction with pixel-based 3D readout for liquid argon time projection chambers

Adams, C.; Tutto, M. Del; Asaadi, J.; Bernstein, Marilyn R.; Church, E.; Guénette, R.; Rojas, J.M.; Sullivan, H.; Tripathi, A.

doi:10.1088/1748-0221/15/04/p04009

Cited by 10 publications

(6 citation statements)

References 26 publications

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“…A pixelated charge readout system provides a uniform detection efficiency with respect to the readout plane, and native three-dimensional information of physics activities, which bypasses the ambiguities from inter-plane hit associations. As was shown in [123], and is represented in figure 13, the 3D pixel-based readout is found to be superior to the 2D projective one across a wide range of classifications in the high-energy regime. In particular, the identification of electron-neutrino events and the rejection of neutral current π 0 events, a 3D pixel-based detector significantly outperforms a 2D projective one by about a factor of two.…”

Section: Pixel-based Readoutmentioning

confidence: 68%

Low-energy physics in neutrino LArTPCs

Caratelli¹,

Foreman²,

Friedland³

et al. 2023

J. Phys. G: Nucl. Part. Phys.

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In this paper, we review scientific opportunities and challenges related to detection and reconstruction of low-energy (less than 100 MeV) signatures in liquid argon time-projection chamber (LArTPC) neutrino detectors. LArTPC neutrino detectors designed for performing precise long-baseline oscillation measurements with GeV-scale accelerator neutrino beams also have unique sensitivity to a range of physics and astrophysics signatures via detection of event features at and below the few tens of MeV range. In addition, low-energy signatures are an integral part of GeV-scale accelerator neutrino interaction final-states, and their reconstruction can enhance the oscillation physics sensitivities of LArTPC experiments. New physics signals from accelerator and natural sources also generate diverse signatures in the low-energy range, and reconstruction of these signatures can increase the breadth of Beyond the Standard Model scenarios accessible in LArTPC-based searches. A variety of experimental and theory-related challenges remain to realizing this full range of potential benefits. Neutrino interaction cross-sections and other nuclear physics processes in argon relevant to sub-hundred-MeV LArTPC signatures are poorly understood, and improved theory and experimental measurements are needed; pion decay-at-rest sources and charged particle and neutron test beams are ideal facilities for improving this understanding. There are specific calibration needs in the low-energy range, as well as specific needs for control and understanding of radiological and cosmogenic backgrounds. Low-energy signatures, whether steady-state or part of a supernova burst or larger GeV-scale event topology, have specific triggering, DAQ and reconstruction requirements that must be addressed outside the scope of conventional GeV-scale data collection and analysis pathways. Novel concepts for future LArTPC technology that enhance low-energy capabilities should also be explored to help address these challenges.

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Section: Pixel-based Readoutmentioning

confidence: 68%

Low-energy physics in neutrino LArTPCs

Caratelli¹,

Foreman²,

Friedland³

et al. 2023

J. Phys. G: Nucl. Part. Phys.

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“…Moreover, even one or two missing channels per module can significantly reduce efficiency. Machine Learning techniques and Convolutional Neural Networks (CNN), in particular, are widely used in the field of particle physics for event processing [7], background rejection [8], etc. This work uses CNN to fill in missing data from the PandaX-III experiment's TPC detector.…”

Section: Discussionmentioning

confidence: 99%

Reconstruction of missing data of the PandaX-III experiment TPC using neural network

Lobasenko

2023

J. Inst.

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The PandaX-III is a Neutrinoless Double-Beta Decay (NLDBD) experiment which uses a Time Projection Chamber (TPC) detector with a readout plane formed of Micromegas modules, which allows reconstruction of track topology for the background discrimination as well as reconstruction of the energy of the events. In NLDBD experiments, in order to achieve the highest sensitivity to the decay, it is necessary for the detector to have a high energy resolution, the background level should be low, and techniques for background discrimination must be applied as well. In reality, inhomogeneous signal gain at each module and the presence of missing channels lead to an incorrect energy reconstruction of the events. In this work, a method based on a Convolutional Neural Networks (CNN) aiming to reconstruct the kinematics of the event from imperfect data with missing channels is presented. Preliminary results of the reconstruction of the missing data using CNN are showing an increase in detection efficiency. The detection efficiency was evaluated on the simulated data with three channels randomly chosen per Micromegas module and artificially set as missing. Direct reconstruction of the energy gives the efficiency of 78%, while after applying CNN it increases to 86%, providing a promising application of this technique.

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“…A transformative step realized by the LArPix [53] and Q-Pix [54] consortia now allows one to build a fully pixelated low-power charge readout capable of efficiently and accurately capturing signal information. The use of a 3D-based pixel readouts can offer significant improvements [55] in the reconstruction of events in a LArTPC and has been shown to offer enhancements for low energy neutrino physics [56] as well as the ability to operate and reconstruct in various prototypes [57]. The deployment of a O(tonne)-scale pixel-based LArTPC detector can allow for unique measurments at ORNL's SNS.…”

Section: B Lartpcsmentioning

confidence: 99%

Physics Opportunities in the ORNL Spallation Neutron Source Second Target Station Era

Asaadi¹

2022

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The Oak Ridge National Laboratory (ORNL) Spallation Neutron Source (SNS) First Target Station (FTS), used by the COHERENT experiment, provides an intense and extremely highquality source of pulsed stopped-pion neutrinos, with energies up to about 50 MeV. Upgrades to the SNS are planned, including a Second Target Station (STS), which will approximately double the expected neutrino flux while maintaining quality similar to the FTS source. Furthermore, additional space for ten-tonne scale detectors may be available. We describe here exciting opportunities for neutrino physics, other particle and nuclear physics, and detector development using the FTS and STS neutrino sources.

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Enhancing neutrino event reconstruction with pixel-based 3D readout for liquid argon time projection chambers

Cited by 10 publications

References 26 publications

Low-energy physics in neutrino LArTPCs

Low-energy physics in neutrino LArTPCs

Reconstruction of missing data of the PandaX-III experiment TPC using neural network

Physics Opportunities in the ORNL Spallation Neutron Source Second Target Station Era

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