23 citations · 56 across the 7 of their papers we have counts for
4 papers · 1 filter
galsbi: A Python package for the GalSBI galaxy population model
Silvan Fischbacher, Beatrice Moser, Tomasz Kacprzak +5
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 vo…
UFig v1: The ultra-fast image generator
Silvan Fischbacher, Beatrice Moser, Tomasz Kacprzak +8
With the rise of simulation-based inference (SBI) methods, simulations need to be fast as well as realistic. is a public Python package that simulates astronomic…
GalSBI: Phenomenological galaxy population model for cosmology using simulation-based inference
Silvan Fischbacher, Tomasz Kacprzak, Luca Tortorelli +4
We present GalSBI, a phenomenological model of the galaxy population for cosmological applications using simulation-based inference. The model is based on analytical parametrizatio…
Simulation-based inference of deep fields: galaxy population model and redshift distributions
Beatrice Moser, Tomasz Kacprzak, Silvan Fischbacher +3
Accurate redshift calibration is required to obtain unbiased cosmological information from large-scale galaxy surveys. In a forward modelling approach, the redshift distribution n(…