6 April 2017 Comparing simulations and test data of a radiation damaged charge-coupled device for the Euclid mission
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Abstract
The visible imager instrument on board the Euclid mission is a weak-lensing experiment that depends on very precise shape measurements of distant galaxies obtained by a large charge-coupled device (CCD) array. Due to the harsh radiative environment outside the Earth’s atmosphere, it is anticipated that the CCDs over the mission lifetime will be degraded to an extent that these measurements will be possible only through the correction of radiation damage effects. We have therefore created a Monte Carlo model that simulates the physical processes taking place when transferring signals through a radiation-damaged CCD. The software is based on Shockley–Read–Hall theory and is made to mimic the physical properties in the CCD as closely as possible. The code runs on a single electrode level and takes the three-dimensional trap position, potential structure of the pixel, and multilevel clocking into account. A key element of the model is that it also takes device specific simulations of electron density as a direct input, thereby avoiding making any analytical assumptions about the size and density of the charge cloud. This paper illustrates how test data and simulated data can be compared in order to further our understanding of the positions and properties of the individual radiation-induced traps.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4124/2017/$25.00 © 2017 SPIE
Jesper Skottfelt, David J. Hall, Jason P. D. Gow, Neil J. Murray, Andrew D. Holland, and Thibaut Prod’homme "Comparing simulations and test data of a radiation damaged charge-coupled device for the Euclid mission," Journal of Astronomical Telescopes, Instruments, and Systems 3(2), 028001 (6 April 2017). https://doi.org/10.1117/1.JATIS.3.2.028001
Received: 25 October 2016; Accepted: 17 March 2017; Published: 6 April 2017
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Charge-coupled devices

Monte Carlo methods

3D modeling

Radiation effects

Device simulation

Electrodes

Data modeling

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