Issue |
A&A
Volume 670, February 2023
|
|
---|---|---|
Article Number | A118 | |
Number of page(s) | 17 | |
Section | Astronomical instrumentation | |
DOI | https://doi.org/10.1051/0004-6361/202245407 | |
Published online | 17 February 2023 |
Correction of the brighter-fatter effect on the CCDs of Hyper Suprime-Cam
LPNHE, CNRS/IN2P3, Sorbonne Université, Université Paris-Cité, Laboratoire de Physique Nucléaire et de Hautes Énergies,
75005
Paris, France
e-mail: pierre.astier@in2p3.fr
Received:
8
November
2022
Accepted:
6
December
2022
The brighter-fatter effect affects all CCD sensors to various degrees. Deep-depleted thick sensors are seriously affected and the measurement of galaxy shapes for cosmic shear measurements requires an accurate correction of the effect in science images. We describe the whole correction chain we have implemented for the CCDs of the Hyper Suprime-Cam imager on the Subaru Telescope. We derive non-linearity corrections from a new sequence of flat field images, and measure their statistics, namely their two-pixel function. We constrain an electrostatic model from flat field statistics that we use to correct science images. We find evidence that some fraction of the observed variance and some covariances is not due to the combination of Poisson statistics and electrostatics – and the cause remains elusive. We then have to ignore some measurements when deriving the electrostatic model. Over a wide range of image qualities and in the 5 bands of the imager, stars in corrected science images exhibit size variations with flux small enough to predict the point spread function for faint objects to an accuracy better than 10−3 for the trace of second moments – and even better for the ellipticity and the fourth radial moment. This performance is sufficient for upcoming large-scale cosmic shear surveys such as Rubin/LSST.
Key words: instrumentation: detectors / techniques: image processing
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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