The ICARUS liquid argon TPC: a complete imaging device for particle physics

Bettini, A.; Braggiotti, A.; Casagrande, F.; Casoli, P.; Cavanna, F.; Cennini, P.; Centro, S.; Cheng, Miaomiao; Ciocio, A.; Cittolin, S.; Cline, D.; Dainese, B.; Gasparini, G.P.; Mazzone, L.; Muratori, G.; Pepato, A.; Mortari, G. Piano; Picchi, P.; Pietropaolo, F.; Rossi, Paolo; Rubbia, C.; Suzuki, Satoshi; Ventura, S.; Wang, H.; Wang, Z.H.; Zhou, Miaomiao

doi:10.1016/0168-9002(92)90707-b

Cited by 12 publications

(5 citation statements)

References 3 publications

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“…8), are permanently sensitive, and can intrinsically supply a trigger signal by means of the scintillation light produced in the liquid noble gas (see Sect. 5.4) [68][69][70][71][72][73]. The electronic resolution of the bubble-chamber-like pictures is on the order of 100 μm.…”

Section: Time-projection Chambers (Tpcs)mentioning

confidence: 99%

Track detectors

2023

Particle Detectors

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Section: Time-projection Chambers (Tpcs)mentioning

confidence: 99%

Track detectors

2023

Particle Detectors

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“…• Liquid Argon Time Projection Chambers. This is a new technology pionereed by the Imaging Cosmic And Rare Underground Signals (ICARUS) experiment [151], which has been chosen for the future DUNE experiment [144]. This detector offers superior performances in terms of information on the particles produced in the final state, with the possibility of particle identification and total energy reconstruction.…”

Section: Detectors For Long-baseline Experimentsmentioning

confidence: 99%

“…It comprises the 170 t MicroBooNE Liquid Argon detector [238], built on the Booster Neutrino beam (the same beam used by MiniBooNE) at L = 470 m from the target. It will be completed by the refurbished 760 t ICARUS detector [151] placed at 600 m, and by the 220 t LAr1-ND near detector [239] at 110 m from the production target, for the investigation of the reported anomalies both in the appearance and in the disappearance channels. This set of detectors will be able to probe the LSND appearance excess with a sensitivity of 5σ.…”

Section: Experimental Anomalies Beyond the Pmns Modelmentioning

confidence: 99%

Neutrino oscillations: The rise of the PMNS paradigm

Giganti

Lavignac²,

Zito

2018

Progress in Particle and Nuclear Physics

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Since the discovery of neutrino oscillations, the experimental progress in the last two decades has been very fast, with the precision measurements of the neutrino squared-mass differences and of the mixing angles, including the last unknown mixing angle θ 13 .Today a very large set of oscillation results obtained with a variety of experimental configurations and techniques can be interpreted in the framework of three active massive neutrinos, whose mass and flavour eigenstates are related by a 3 × 3 unitary mixing matrix, the Pontecorvo-Maki-Nakagawa-Sakata (PMNS) matrix, parameterized by three mixing angles θ 12 , θ 23 , θ 13 and a CP-violating phase δ CP . The additional parameters governing neutrino oscillations are the squaredmass differences ∆m 2 ji = m 2 j − m 2 i , where m i is the mass of the ith neutrino mass eigenstate. This review covers the rise of the PMNS three-neutrino mixing paradigm and the current status of the experimental determination of its parameters.The next years will continue to see a rich program of experimental endeavour coming to fruition and addressing the three missing pieces of the puzzle, namely the determination of the octant and precise value of the mixing angle θ 23 , the unveiling of the neutrino mass ordering (whether m 1 < m 2 < m 3 or m 3 < m 1 < m 2 ) and the measurement of the CP-violating phase δ CP .

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“…Liquid argon (LAr) is a popular detector medium for direct dark matter searches [1][2][3] and neutrino property measurements [4][5][6]. Its excellent scintillation properties have been employed by dark matter search experiments for energy reconstruction and background rejection.…”

Section: Introductionmentioning

confidence: 99%

Photon detection probability prediction using one-dimensional generative neural network

Mu¹,

Himmel²,

Ramson³

2022

Mach. Learn.: Sci. Technol.

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Photon detection is important for liquid argon detectors for direct dark matter searches or neutrino property measurements. Precise simulation of photon transport is widely used to understand the probability of photon detection in liquid argon detectors. Traditional photon transport simulation, tracking every photon within the framework of Geant4, is a major computational challenge for kilo-tonne-scale liquid argon detectors and GeV-level energy depositions. In this work, we propose a one-dimensional generative model which efficiently generates features using an OuterProduct-layer. This model bypasses photon transport simulation and predicts the number of photons detected by particular photon detectors at the same level of detail as Geant4 simulation. The application to simulating photon detection systems in kilo-tonne-scale liquid argon detectors demonstrates this novel generative model is able to reproduce Geant4 simulation with good accuracy and 20 to 50 times faster. This generative model can be used to quickly predict photon detection probability in huge liquid argon detectors like ProtoDUNE or DUNE.

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The ICARUS liquid argon TPC: a complete imaging device for particle physics

Cited by 12 publications

References 3 publications

Track detectors

Track detectors

Neutrino oscillations: The rise of the PMNS paradigm

Photon detection probability prediction using one-dimensional generative neural network

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