BibTeX

@article{2412.08722v3,
Author        = {Silvan Fischbacher and Beatrice Moser and Tomasz Kacprzak and Joerg Herbel and Luca Tortorelli and Uwe Schmitt and Alexandre Refregier and Adam Amara},
Title         = {galsbi: A Python package for the GalSBI galaxy population model},
Eprint        = {2412.08722v3},
DOI           = {10.21105/joss.08766},
ArchivePrefix = {arXiv},
PrimaryClass  = {astro-ph.CO},
Abstract      = {Large-scale structure surveys measure the shapes and positions of millions of
galaxies in order to constrain the cosmological model with high precision. The
resulting large data volume poses a challenge for the analysis of the data,
from the estimation of photometric redshifts to the calibration of shape
measurements. We present GalSBI, a model for the galaxy population, to address
these challenges. This phenomenological model is constrained by observational
data using simulation-based inference (SBI). The $\texttt{galsbi}$ Python
package provides an easy interface to generate catalogs of galaxies based on
the GalSBI model, including their photometric properties, and to simulate
realistic images of these galaxies using the $\texttt{UFig}$ package.},
Year          = {2024},
Month         = {Dec},
Note          = {Journal of Open Source Software, 10(114), 8766 (2025)},
Url           = {http://arxiv.org/abs/2412.08722v3},
File          = {2412.08722v3.pdf}
}