Project leads: Amir Ebadati Bazkiaei (Macquarie), Sarah Brough (UNSW), Rubin Algorithms and Pipeline Team (Lee Kelvin)
Point of contact: Amir Ebadati Bazkiaei (amir.ebadati-bazkiaei@mq.edu.au)
Rubin project code: AUS-AAL-S2
Relevant working groups: Low-surface-brightness Science
Project status: Active
 We are providing 1 FTE of directable software development effort to the Rubin Galaxies Science Collaboration's Low Surface Brightness (LSB) Working Group to prepare algorithms which support Rubin's data reduction for LSB science. The LSB WG together with DM have identified that one current issue is that bright stars are not modelled to large enough radii and subtracted prior to the large-scale sky being estimated, such that the sky level is over-estimated. We are developing algorithms to undertake this process in the Rubin stack. A successful outcome will be a documented set of algorithms that robustly model and subtract bright stars.
Sky subtraction that preserves low-surface-brightness flux