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

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.

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NEUTRINOS FROM ICARUS

Acta Polytechnica ◽

10.14311/ap.2013.53.0776 ◽

2013 ◽

Vol 53 (A) ◽

pp. 776-781

Author(s):

Christian Farnese

Keyword(s):

3D Imaging ◽

Sterile Neutrino ◽

Rare Event ◽

Liquid Argon ◽

Good Energy Resolution ◽

Time Projection Chambers ◽

Event Reconstruction ◽

The Status ◽

Good Energy ◽

Time Projection

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.

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Demonstration of MeV-scale physics in liquid argon time projection chambers using ArgoNeuT

Physical Review D ◽

10.1103/physrevd.99.012002 ◽

2019 ◽

Vol 99 (1) ◽

Cited By ~ 13

Author(s):

R. Acciarri ◽

C. Adams ◽

J. Asaadi ◽

B. Baller ◽

T. Bolton ◽

...

Keyword(s):

Liquid Argon ◽

Time Projection Chambers ◽

Time Projection

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Optical Readout of the ARIADNE LArTPC Using a Timepix3-Based Camera

Instruments ◽

10.3390/instruments4040035 ◽

2020 ◽

Vol 4 (4) ◽

pp. 35

Author(s):

Adam Lowe ◽

Krishanu Majumdar ◽

Konstantinos Mavrokoridis ◽

Barney Philippou ◽

Adam Roberts ◽

...

Keyword(s):

Large Scale ◽

Liquid Argon ◽

Energy Calibration ◽

Dual Phase ◽

Optical Readout ◽

Event Reconstruction ◽

Phase Liquid ◽

Preliminary Study ◽

Time Projection ◽

Good Agreement

The ARIADNE Experiment, utilising a 1-ton dual-phase Liquid Argon Time Projection Chamber (LArTPC), aims to develop and mature optical readout technology for large scale LAr detectors. This paper describes the characterisation, using cosmic muons, of a Timepix3-based camera mounted on the ARIADNE detector. The raw data from the camera are natively 3D and zero suppressed, allowing for straightforward event reconstruction, and a gallery of reconstructed LAr interaction events is presented. Taking advantage of the 1.6 ns time resolution of the readout, the drift velocity of the ionised electrons in LAr was determined to be 1.608 ± 0.005 mm/μs at 0.54 kV/cm. Energy calibration and resolution were determined using through-going muons. The energy resolution was found to be approximately 11% for the presented dataset. A preliminary study of the energy deposition (dEdX) as a function of distance has also been performed for two stopping muon events, and comparison to GEANT4 simulation shows good agreement. The results presented demonstrate the capabilities of this technology, and its application is discussed in the context of the future kiloton-scale dual-phase LAr detectors that will be used in the DUNE programme.

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ARAPUCA light trap for large liquid argon time projection chambers

Journal of Physics Conference Series ◽

10.1088/1742-6596/1143/1/012003 ◽

2018 ◽

Vol 1143 ◽

pp. 012003

Author(s):

H da Motta ◽

A A Machado ◽

L Paulucci ◽

E Segreto ◽

A Fauth ◽

...

Keyword(s):

Light Trap ◽

Liquid Argon ◽

Time Projection Chambers ◽

Time Projection

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Benefits of MeV-scale reconstruction capabilities in large liquid argon time projection chambers

Physical Review D ◽

10.1103/physrevd.102.092010 ◽

2020 ◽

Vol 102 (9) ◽

Author(s):

W. Castiglioni ◽

W. Foreman ◽

B. R. Littlejohn ◽

M. Malaker ◽

I. Lepetic ◽

...

Keyword(s):

Liquid Argon ◽

Time Projection Chambers ◽

Time Projection

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Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers

EPJ Web of Conferences ◽

10.1051/epjconf/202125103054 ◽

2021 ◽

Vol 251 ◽

pp. 03054 ◽

Cited By ~ 1

Author(s):

Jeremy Hewes ◽

Adam Aurisano ◽

Giuseppe Cerati ◽

Jim Kowalkowski ◽

Claire Lee ◽

...

Keyword(s):

Neural Network ◽

Message Passing ◽

Liquid Argon ◽

Great Promise ◽

Muon Track ◽

Particle Type ◽

Novel Technique ◽

Time Projection Chambers ◽

Time Projection ◽

The Relationship

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.

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