23 citations · 56 across the 7 of their papers we have counts for
8 papers
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(…
Fast Forward Modelling of Galaxy Spatial and Statistical Distributions
Pascale Berner, Alexandre Refregier, Beatrice Moser +3
A forward modelling approach provides simple, fast and realistic simulations of galaxy surveys, without a complex underlying model. For this purpose, galaxy clustering needs to be…
sympy2c: from symbolic expressions to fast C/C++ functions and ODE solvers in Python
Uwe Schmitt, Beatrice Moser, Christiane S. Lorenz +1
Computer algebra systems play an important role in science as they facilitate the development of new theoretical models. The resulting symbolic equations are often implemented in a…
Symbolic Implementation of Extensions of the Boltzmann Solver
Beatrice Moser, Christiane S. Lorenz, Uwe Schmitt +5
is a Python-based framework for the fast computation of cosmological model predictions. One of its core features is the symbolic representation of the Einstein-B…
The PAU Survey: Measurement of Narrow-band galaxy properties with Approximate Bayesian Computation
Luca Tortorelli, Malgorzata Siudek, Beatrice Moser +22
Narrow-band imaging surveys allow the study of the spectral characteristics of galaxies without the need of performing their spectroscopic follow-up. In this work, we forward-model…