Simulating Charge Deposition by Cosmic Rays Inside Astronomical Imaging Detectors

In the context of space astronomy missions, accurate and fast modeling of spurious images generated by solar and galactic cosmic rays (GCRs) in imaging detectors is critical in order to assess and mitigate their detrimental effects. Currently, it is only possible to accurately reproduce the CR image...

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Bibliographic Details
Published in:IEEE transactions on nuclear science 2020-07, Vol.67 (7), p.1623-1628
Main Authors: Lucsanyi, David, Prod'homme, Thibaut
Format: Article
Language:English
Subjects:
Astronomical models
Astronomy
Celestial bodies
Charge coupled devices
Charge deposition
Charge-coupled device (CCD)
Computer simulation
Cosmic radiation
cosmic ray (CR) imaging
Cosmic rays
Detectors
Energy dissipation
Energy loss
Gaia
Galactic cosmic rays
galactic CRs (GCRs)
Geant4 (G4)
Irradiation
Monte Carlo methods
Pipelines
PLATO
Protons
Radiation effects
Sensors
Silicon
Space missions
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Summary:In the context of space astronomy missions, accurate and fast modeling of spurious images generated by solar and galactic cosmic rays (GCRs) in imaging detectors is critical in order to assess and mitigate their detrimental effects. Currently, it is only possible to accurately reproduce the CR images including energy loss straggling, with the use of complex Monte Carlo particle transport codes. However, these codes are difficult to use and cannot be easily included in instrument simulation pipelines. Presented here is CosmiX , a novel, open-source, and Python-based CR model, overcoming the above-mentioned limitations, yet still capable of accurately reproducing the CR images, paving the way for semianalytical Monte Carlo modeling of the CR tracks. These are demonstrated by using CosmiX to reproduce irradiation test data of a PLATO charge-coupled device (CCD) and in-orbit CR data of Gaia CCD detectors.
ISSN:0018-9499
1558-1578
DOI:10.1109/TNS.2020.2986285