Modeling charge collection in silicon pixel detectors for proton therapy applications

Alexander Schilling*, Max Aehle, Johan Alme, Gergely Gábor Barnaföldi, Gábor Bíró, Tea Bodova, Vyacheslav Borshchov, Anthony van den Brink, Viljar Eikeland, Gregory Feofilov, Christoph Garth, Nicolas R. Gauger, Ola Grøttvik, Håvard Helstrup, Sergey Igolkin, Jacob G. Johansen, Ralf Keidel, Chinorat Kobdaj, Tobias Kortus, Viktor LeonhardtShruti Mehendale, Raju Ningappa Mulawade, Odd Harald Odland, George O’Neill, Gábor Papp, Thomas Peitzmann, Helge Egil Seime Pettersen, Pierluigi Piersimoni, Maksym Protsenko, Max Rauch, Attiq Ur Rehman, Matthias Richter, Dieter Röhrich, Joshua Santana, Joao Seco, Arnon Songmoolnak, Ákos Sudár, Ganesh Tambave, Ihor Tymchuk, Kjetil Ullaland, Monika Varga-Kofarago, Boris Wagner, Ren Zheng Xiao, Shiming Yang

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Abstract

Objective. Monolithic active pixel sensors are used for charged particle tracking in many applications, from medical physics to astrophysics. The Bergen pCT collaboration designed a sampling calorimeter for proton computed tomography, based entirely on the ALICE PIxel DEtector (ALPIDE). The same telescope can be used for in-situ range verification in particle therapy. An accurate charge diffusion model is required to convert the deposited energy from Monte Carlo simulations to a cluster of pixels, and to estimate the deposited energy, given an experimentally observed cluster. Approach. We optimize the parameters of different charge diffusion models to experimental data for both proton computed tomography and proton range verification, collected at the Danish Centre for Particle Therapy. We then evaluate the performance of downstream tasks to investigate the impact of charge diffusion modeling. Main results. We find that it is beneficial to optimize application-specific models, with a power law working best for proton computed tomography, and a model based on a 2D Cauchy-Lorentz distribution giving better agreement for range verification. We further highlight the importance of evaluating the downstream tasks with multiple approaches to obtain a range of expected performance metrics for the application. Significance. This work demonstrates the influence of the charge diffusion model on downstream tasks, and recommends a new model for proton range verification with an ALPIDE-based pixel telescope.

Original languageEnglish
Article number035005
JournalBiomedical Physics and Engineering Express
Volume11
Issue3
ISSN2057-1976
DOIs
Publication statusPublished - May 2025

Keywords

  • charge diffusion
  • monolithic active pixel sensor
  • proton computed tomography
  • proton therapy
  • range verification

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