Orateur
Mahmoud Ahmed Emam Osman
(LPNHE)
Description
The Bayesian Origin Reconstruction from Galaxies (BORG) algorithm provides a Bayesian framework to recover the dark matter field through forward modeling of structure formation, accounting for the nonlinear evolution of the velocity field. In this talk, I will present applications of BORG to the ZTF DR2.5 supernova sample, as well as results from realistic ZTF supernova simulations, highlighting its performance in reconstructing the cosmic velocity field.
Auteur
Mahmoud Ahmed Emam Osman
(LPNHE)
