Oral Presentation

Measuring the running of bias parameters with field level inference

Author(s): Hsiang-Ming Huang ( Ludwig-Maximilians Universität/Max Planck Institut für Astrophysik)

Presenter: Hsiang-Ming Huang (Ludwig-Maximilians Universität/Max Planck Institut für Astrophysik)

We measure the renormalization group flow of first and second-order galaxy bias parameters with the field-level inference code LEFTfield. We find that the sampling results based on the EFT-likelihood are consistent with the prediction from Bakx, et al 2025 and Rubira and Schmidt 2023 up to a theoretical uncertainty $\sigma^4$ uncertainty, for the case of small non-linearity.