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. GalSBI is a model for the galaxy population to address these challenges. This phenomenological model is constrained by observational data using simulation-based inference (SBI). The 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 package.
Link to source: https://gitlab.com/cosmology-ethz/galsbi
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