$\texttt{galsbi}$: A Python package for the GalSBI galaxy population model

Autor:	Fischbacher, Silvan, Moser, Beatrice, Kacprzak, Tomasz, Herbel, Joerg, Tortorelli, Luca, Schmitt, Uwe, Refregier, Alexandre, Amara, Adam
Rok vydání:	2024
Předmět:	Astrophysics - Cosmology and Nongalactic Astrophysics
Druh dokumentu:	Working Paper
Popis:	Large-scale structure surveys measure the shape and position 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. Comment: 10 pages, 5 figures, submitted to JOSS
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.08722 Zobrazit plný text záznamu View this record from Arxiv