activity
20122026
most citedDark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing

1.2k citations · 6.2k across the 88 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

astro-ph.CO2024★ 2 cited

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…

astro-ph.IM2024★ 3 cited

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…

astro-ph.CO2024

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…

astro-ph.CO2024

Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps II. Cosmological results

M. Gatti, G. Campailla, N. Jeffrey +99

We present a simulation-based cosmological analysis using a combination of Gaussian and non-Gaussian statistics of the weak lensing mass (convergence) maps from the first three yea…

cond-mat.mtrl-sci2024

Laue Indexing with Optimal Transport

Tomasz Kacprzak, Stavros Samothrakitis, Camilla Buhl Larsen +4

Laue tomography experiments retrieve the positions and orientations of crystal grains in a polycrystalline samples from diffraction patterns recorded at multiple viewing angles. Th…

astro-ph.CO2024★ 4 cited

Dark Energy Survey Year 3 results: likelihood-free, simulation-based CDM inference with neural compression of weak-lensing map statistics

N. Jeffrey, L. Whiteway, M. Gatti +88

We present simulation-based cosmological CDM inference using Dark Energy Survey Year 3 weak-lensing maps, via neural data compression of weak-lensing map summary statistics: pow…

astro-ph.CO2024★ 13 cited

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(…