Taming Additive Systematics via Redshift-Bin-Optimized Star-Galaxy Separation
Contamination from stars in the galaxy samples of large-scale structure surveys can bias cosmological constraints if not tightly controlled. This is especially true for lens samples used for galaxy clustering and galaxy-galaxy lensing probes, where contamination is a primary source of additive systematics. We propose an improved approach to star-galaxy separation and an optimal weighting scheme to jointly mitigate additive and multiplicative contamination of the density field at the map level. O…
N. Weaverdyck, D. Schlegel, A. Raichoor, I. Sevilla-Noarbe (2026). Taming Additive Systematics via Redshift-Bin-Optimized Star-Galaxy Separation. Submitted.
