Modelling and Correcting the Time-Dependent ACS PSF
Jason Rhodes, Richard Massey, Justin Albert, James E. Taylor, Anton, Koekemoer, Alexie Leauthaud

TL;DR
This paper develops a method to model and correct the time-dependent PSF variations in HST's ACS images caused by thermal fluctuations, improving shape measurements for faint objects in weak lensing studies.
Contribution
It introduces a modified TinyTim software to accurately model the ACS PSF at any focus, accounting for temporal variations without extensive stellar field observations.
Findings
TinyTim models closely match real ACS star images.
Focus measurement from ~10 stars enables precise PSF modeling.
Optimized Multidrizzle parameters stabilize PSF for weak lensing.
Abstract
The ability to accurately measure the shapes of faint objects in images taken with the Advanced Camera for Surveys(ACS) on the Hubble Space Telescope (HST) depends upon detailed knowledge of the Point Spread Function (PSF). We show that thermal fluctuations cause the PSF of the ACS Wide Field Camera (WFC) to vary over time. We describe a modified version of the TinyTim PSF modeling software to create artificial grids of stars across the ACS field of view at a range of telescope focus values. These models closely resemble the stars in real ACS images. Using ~10 bright stars in a real image, we have been able to measure HST's apparent focus at the time of the exposure. TinyTim can then be used to model the PSF at any position on the ACS field of view. This obviates the need for images of dense stellar fields at different focus values, or interpolation between the few observed stars. We…
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Taxonomy
TopicsAdaptive optics and wavefront sensing · CCD and CMOS Imaging Sensors · Infrared Target Detection Methodologies
