Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data
Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data
Non-linear bias measurements require a great level of control of potential systematic effects in galaxy redshift surveys. Our goal is to demonstrate the viability of using Counts-in-Cells (CiC), a statistical measure of the galaxy distribution, as a competitive method to determine linear and higher-order galaxy bias and assess clustering systematics. …