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First Demonstration of the Use of LG-SiPMs for Optical Readout of a TPC

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arxiv 2009.05086 v2 pith:PIYVUJNS submitted 2020-09-10 physics.ins-det

classification physics.ins-det
keywords trackslg-sipmopticalreadoutusedenergyionisationposition
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abstract

This paper describes a new method for optical readout of Time Projection Chambers (TPCs), based on the Linearly Graded Silicon Photomultiplier (LG-SiPM). This is a single photon-sensitive detector with excellent timing and 2D position resolution developed at Fondazione Bruno Kessler, Trento (FBK). The LG-SiPM produces time-varying voltage signals that are used to reconstruct the 3D position and energy of ionisation tracks generated inside the TPC. The TPC used in this work contained room-temperature CF$_4$ gas at a pressure of 100 mbar, with two THGEMs to produce secondary scintillation light. A collimated $^{241}$Am source (Q$_\alpha$ = 5.486 MeV) was used to produce the ionisation tracks. The successful reconstruction of these tracks is demonstrated, and the consistency of the methodology characterised through varying the geometry of the tracks within the TPC. Energy reconstruction and deposition studies are also described, demonstrating the feasibility of the LG-SiPM as a potential option for optical TPC readout.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Design and Performance of a Universal SiPM Readout System for X- and Gamma-Ray Missions

    astro-ph.IM 2025-01 conditional novelty 6.0 of 10

    A 64-channel SiPM readout board for X-ray and gamma-ray space detectors runs on about 1.8 W, uses mostly commercial parts, and passed space qualification tests.

  2. Position-Sensitive Silicon Photomultiplier Array with Enhanced Position Reconstruction by means of a Deep Neural Network

    physics.ins-det 2025-12 conditional novelty 5.0 of 10

    A trained neural network reconstructs LED-spot positions on a 2x2 LG-SiPM tile with 2.4-3.5x lower mean error than the standard linear formula, but this gain mostly corrects systematic distortion, not intrinsic noise.

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