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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.)

Radiation damage impact on hybrid-pixel detectors data

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Magalhaes, D. P. [1] ; Rinkel, J. [2] ; Tomal, A. [2]
Total Authors: 3
[1] Brazilian Synchrotron Light Lab LNLS, BR-13083100 Campinas, SP - Brazil
[2] Univ Estadual Campinas, Gleb Wataghin Phys Inst, BR-13083859 Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Radiation Physics and Chemistry; v. 160, p. 63-67, JUL 2019.
Web of Science Citations: 2

This work aimed to quantify the influence of the deposited dose at the hybrid detector ASIC on the resulting image quality. Low (932 +/- 4 Gy) and high (6310 +/- 24 Gy) dose experiments were performed by irradiating a Medipix3RX single chip detector with the polychromatic beam from the Brazilian Synchrotron X-ray Imaging beamline. It was possible to evaluate subtle effects by using a noise component model based on estimating the quantum, electronic and structural noise contributions. Visible effects were quantified by analyzing the evolution of the histogram of the pixel counts at the irradiated area. The dose threshold for subtle damages was 388 +/- 3 Gy deposited in the gate oxide and shallow trench isolation oxide layers, while visible damages were observed for doses higher than 2635 +/- 15 Gy. A recovery of the damaged pixels with time was noticed and quantified, reaching the half-life time at 1.84 +/- 0.02 h after irradiation. These results encourage periodical maintenance procedures, for example through a new equalization matrix generation, which proved to be a possible tool for recovering the detector performance. (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