“Weather” in the LSST camera: investigating patterns in differenced flat images

During electro-optical testing of the camera for the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time, a unique low-signal pattern was found in differenced pairs of flat images used to create photon transfer curves, with peak-to-peak variations of a factor of 10−3. A turbulent pattern of this amplitude was apparent in many differenced flat-fielded images. The pattern changes from image to image and shares similarities with atmospheric “weather” turbulence patterns. We applied several strategies to determine the source of the turbulent pattern and found that it is representative of the mixing of the air and index of refraction variations caused by the internal camera purge system displacing air, which we are sensitive to due to our flat field project setup. Characterizing this changing environment with 2D correlation functions of the weather patterns provides evidence that the images reflect the changes in the camera environment due to the internal camera purge system. Simulations of the full optical system using the galsim and galsim codes show that the weather pattern affects the dispersion of the camera point-spread function at only one part in 10−4 level.

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Publication Details

Journal
Journal of Astronomical Telescopes Instruments and Systems
Published
2024-12-04
DOI
https://doi.org/10.1117/1.jatis.11.1.011205
Primary Topic
Satellite Image Processing and Photogrammetry
Type
article
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“Weather” in the LSST camera: investigating patterns in differenced flat images

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Satellite Image Processing and Photogrammetry
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“Weather” in the LSST camera: investigating patterns in differenced flat images

A. Roodman, Andrew Rasmussen, Joshua Meyers, Yousuke Utsumi, John Banovetz, Maya Beleznay
article en

Abstract

During electro-optical testing of the camera for the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time, a unique low-signal pattern was found in differenced pairs of flat images used to create photon transfer curves, with peak-to-peak variations of a factor of 10−3. A turbulent pattern of this amplitude was apparent in many differenced flat-fielded images. The pattern changes from image to image and shares similarities with atmospheric “weather” turbulence patterns. We applied several strategies to determine the source of the turbulent pattern and found that it is representative of the mixing of the air and index of refraction variations caused by the internal camera purge system displacing air, which we are sensitive to due to our flat field project setup. Characterizing this changing environment with 2D correlation functions of the weather patterns provides evidence that the images reflect the changes in the camera environment due to the internal camera purge system. Simulations of the full optical system using the galsim and galsim codes show that the weather pattern affects the dispersion of the camera point-spread function at only one part in 10−4 level.

Journal of Astronomical Telescopes Instruments and SystemsVol. 11(01)
Brookhaven National Laboratory (US), SLAC National Accelerator Laboratory (US), National Astronomical Observatory of Japan (JP), Stanford University (US)
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Openalex Percentile: Top 71%
Satellite Image Processing and Photogrammetry
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