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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Monte Carlo simulation of hybrid pixel detectors

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Author(s):
Magalhaes, D. P. [1] ; Tomal, A. [2]
Total Authors: 2
Affiliation:
[1] Brazilian Synchrotron Light Lab LNLS, BR-13083100 Campinas, SP - Brazil
[2] Univ Estadual Campinas, Inst Phys Gleb Wataghin, BR-13083859 Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Radiation Physics and Chemistry; v. 167, FEB 2020.
Web of Science Citations: 0
Abstract

Semiconductor sensors are extensively used for X-ray detection, both for spectroscopy and 2D imaging. In this work, the Monte Carlo code PENELOPE v. 2014 with the PenEasy v. 2015 extension was applied for simulating a Medipix3RX detector, including the sensor and the ASIC layers. The code was modified to include the charge dispersion effect modelling at the Pixelated Imaging Detector tally, and validated by investigating the influence of the electric field, incident energy, beam position, pixel size and also by determining the Modulation Transfer Function. The results were compared to experimental data and presented a very good agreement. The Monte Carlo simulation can be used to investigate the detector response and its influence on measured data, such as spatial resolution and X-ray spectra distortion. Besides, the simulation can be applied to determine the energy deposition in each layer of the detector, useful for detection efficiency characterization or radiation damage studies. (AU)

FAPESP's process: 11/51594-2 - Development of a computational system for the simulation of the interaction of ionizing radiations with the human genetic material
Grantee:Mario Antonio Bernal Rodriguez
Support type: Research Grants - Young Investigators Grants
FAPESP's process: 15/21873-8 - Establishment and application of methodologies for optimizing imaging techniques in digital radiology
Grantee:Alessandra Tomal
Support type: Regular Research Grants