Description
Local Primordial non-Gaussianity (PNG) will be a primary science target for galaxy clustering analyses using SPHEREx, DESI, and Euclid data. Maximally extracting information about the amplitude of PNG (f_{NL}) will require knowledge of galaxy formation physics, which can robustly be embedded in the values of bias parameters in large-scale perturbative models. I will describe several theoretical developments related to PNG bias, including: field-level measurements of PNG bias in simulations, the origin of PNG assembly bias in Lagrangian bias models, and the relationship between PNG bias and (relativistic) evolution bias in simulations. These insights have the potential to be especially relevant for improving the amount of cosmological information extracted from current and future large-scale structure surveys with perturbative models.
