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Photodetectors and Sensors for Particle Identification and New Physics Searches

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 15 December 2024 | Viewed by 1443

Special Issue Editors


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Guest Editor
INFN-Istituto Nazionale di Fisica Nucleare, 35131 Padova, Italy
Interests: particle identification; photodetectors; SiPM; standard model; Higgs; dark matter

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Guest Editor
Department of Physics, King's College of London, London WC2R 2LS, UK
Interests: experimental particle physics; neutrinos; water Cherenkov detectors; photosensors

Special Issue Information

Dear Colleagues,

Photodetectors are used in particle identification for the detection of Cherenkov photons and electromagnetic showers. Photodetectors with high quantum efficiency, single photon detection capability, and excellent time resolution have been developed in recent decades. These detectors have a wide range of applications, allowing significant advances in particle physics, astrophysics, and life sciences. Microchannel plate photodetectors (MCP-PMT) have seen significant increases in their lifetime in recent years. Silicon photomultiplier (SiPM) technology is increasingly used for various applications, due to its low cost, compactness, and immunity to the magnetic field. In organic photodetectors, optoelectronics properties can be tuned to optimize photon detection by controlling the molecular structure. Organic-based devices offer several advantages, such as low-cost processes and mechanical flexibility.

Other technologies, such as quantum sensors and ultrafast photodetectors are developing rapidly. These photodetectors and sensors require dedicated development when they need to survive in a high radiation environment.

Prospective authors are invited to submit articles on topics including, but not limited to, the following:

  • Sensor technology and application
  • Sensor devices
  • Advanced material of sensing
  • Optoelectronic and photonic sensor
  • Micro- and nanosensor

Prof. Dr. Ezio Torassa 
Prof. Dr. Francesca Di Lodovico
Guest Editors

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Keywords

  • particle identification
  • photodetectors
  • SiPM
  • MCP-PMT
  • quantum sensors
  • organic photodetectors
  • gaseous photodetectors
  • radiation hardness

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Published Papers (1 paper)

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Research

18 pages, 2273 KiB  
Article
Optimization of the Pixel Design for Large Gamma Cameras Based on Silicon Photomultipliers
by Carolin Wunderlich, Riccardo Paoletti and Daniel Guberman
Sensors 2024, 24(18), 6052; https://doi.org/10.3390/s24186052 - 19 Sep 2024
Viewed by 397
Abstract
Most single-photon emission computed tomography (SPECT) scanners employ a gamma camera with a large scintillator crystal and 50–100 large photomultiplier tubes (PMTs). In the past, we proposed that the weight, size and cost of a scanner could be reduced by replacing the PMTs [...] Read more.
Most single-photon emission computed tomography (SPECT) scanners employ a gamma camera with a large scintillator crystal and 50–100 large photomultiplier tubes (PMTs). In the past, we proposed that the weight, size and cost of a scanner could be reduced by replacing the PMTs with large-area silicon photomultiplier (SiPM) pixels in which commercial SiPMs are summed to reduce the number of readout channels. We studied the feasibility of that solution with a small homemade camera, but the question on how it could be implemented in a large camera remained open. In this work, we try to answer this question by performing Geant4 simulations of a full-body SPECT camera. We studied how the pixel size, shape and noise could affect its energy and spatial resolution. Our results suggest that it would be possible to obtain an intrinsic spatial resolution of a few mm FWHM and an energy resolution at 140 keV close to 10%, even if using pixels more than 20 times larger than standard commercial SiPMs of 6 × 6 mm2. We have also found that if SiPMs are distributed following a honeycomb structure, the spatial resolution is significantly better than if using square pixels distributed in a square grid. Full article
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