Generating synthetic star catalogs from simulated data for next-gen observatories with py-ananke

Authors:
Open Access
Publisher website
Google Scholar
Abstract
We find ourselves on the brink of an exciting era in observational astrophysics, driven by groundbreaking facilities like JWST, Euclid, Rubin, Roman, SKA, or ELT. Simultaneously, computational astrophysics has shown significant strides, yielding highly realistic galaxy formation simulations, thanks to both hardware and software enhancements. Bridging the gap between simulations and observations has become paramount for meaningful comparisons.

This publication has 34 references indexed in Scilit: