galsbi: A Python package for the GalSBI galaxy population model
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914112673415168 |
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| author | Fischbacher, Silvan Moser, Beatrice Kacprzak, Tomasz Herbel, Joerg Tortorelli, Luca Schmitt, Uwe Refregier, Alexandre Amara, Adam |
| author_facet | Fischbacher, Silvan Moser, Beatrice Kacprzak, Tomasz Herbel, Joerg Tortorelli, Luca Schmitt, Uwe Refregier, Alexandre Amara, Adam |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_08722 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | galsbi: A Python package for the GalSBI galaxy population model Fischbacher, Silvan Moser, Beatrice Kacprzak, Tomasz Herbel, Joerg Tortorelli, Luca Schmitt, Uwe Refregier, Alexandre Amara, Adam Cosmology and Nongalactic Astrophysics 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. |
| title | galsbi: A Python package for the GalSBI galaxy population model |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2412.08722 |