1.2k citations · 6.2k across the 88 of their papers we have counts for
92 papers
GalSBI: Forward Modelling Galaxy Clustering and Population
Silvan Fischbacher, Luca Tortorelli, Tomasz Kacprzak +1
Forward modelling is a powerful approach for analyzing large-scale structure surveys. For this purpose, we extend the GalSBI framework to jointly model the galaxy population and cl…
Dark Energy Survey Year 3 results: optimized CDM simulation-based inference with weak lensing map-level hybrid statistics
J. Williamson, T. L. Makinen, N. Porqueres +85
We present cosmological constraints from the Dark Energy Survey Year 3 (DES Y3) weak lensing data using hierarchical hybrid statistics within a Bayesian simulation-based inference…
Increasing the Precision of Surrogate Models for Weak Lensing Mass Maps with Flow Matching
Guangjian Li, Tomasz Kacprzak
Weak gravitational lensing maps compactly encode the evolution of cosmic large-scale structure and are a key tool for cosmological analyses. Performing inference directly at the ma…
Dark Energy Survey Year 6 Results: Cosmological Constraints from Cosmic Shear
DES Collaboration, T. M. C. Abbott, M. Aguena +126
We present legacy cosmic shear measurements and cosmological constraints using six years of Dark Energy Survey imaging data. From these data, we study ~140 million galaxies (8.29 g…
Dark Energy Survey Year 6 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
DES Collaboration, T. M. C. Abbott, M. Adamow +169
We present cosmology results combining galaxy clustering and weak gravitational lensing measured in the full six years (Y6) of observations by the Dark Energy Survey (DES) covering…
Dark Energy Survey Year 6 Results: Galaxy-galaxy lensing
G. Giannini, G. Camacho-Ciurana, A. Whyley +116
We present galaxy--galaxy lensing (GGL) measurements from the full six years of data from the Dark Energy Survey (DES Y6), covering and used in the DES Y6 $3…
Dark Energy Survey Year 6 Results: Weak Lensing and Galaxy Clustering Cosmological Analysis Framework
D. Sanchez-Cid, A. Ferté, J. Blazek +115
We present the methodology for the weak lensing and galaxy clustering analyses of the Dark Energy Survey (DES) Year 6 data set. In this work, we design and validate the analysis pi…
Dark Energy Survey Year 6 Results: MagLim++ Lens Sample Selection and Measurements of Galaxy Clustering
N. Weaverdyck, M. Rodríguez-Monroy, J. Elvin-Poole +85
Galaxy clustering is a sensitive probe of the expansion history and growth of structure of the universe, and key degeneracies can be broken by combining these data with measurement…
Dark Energy Survey Year 3 results: Simulation-based CDM inference from weak lensing and galaxy clustering maps with deep learning: Analysis design
A. Thomsen, J. Bucko, T. Kacprzak +99
Data-driven approaches using deep learning are emerging as powerful techniques to extract non-Gaussian information from cosmological large-scale structure. This work presents the f…
GalSBI-SPS: a stellar population synthesis-based galaxy population model for cosmology and galaxy evolution applications
Luca Tortorelli, Silvan Fischbacher, Daniel Grün +4
Next generation photometric and spectroscopic surveys will enable unprecedented tests of the concordance cosmological model and of galaxy formation and evolution. Fully exploiting…
Scalable Approximate Algorithms for Optimal Transport Linear Models
Tomasz Kacprzak, Francois Kamper, Michael W. Heiss +3
Recently, linear regression models incorporating an optimal transport (OT) loss have been explored for applications such as supervised unmixing of spectra, music transcription, and…
SHAM-OT: Rapid Subhalo Abundance Matching with Optimal Transport
Silvan Fischbacher, Tomasz Kacprzak, Luis Fernando Machado Poletti Valle +1
Subhalo abundance matching (SHAM) is widely used for connecting galaxies to dark matter haloes. In SHAM, galaxies and (sub-)haloes are sorted according to their mass (or mass proxy…
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…
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…
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…
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…
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(…
Dark Energy Survey Year 3 results: simulation-based cosmological inference with wavelet harmonics, scattering transforms, and moments of weak lensing mass maps I: validation on simulations
M. Gatti, N. Jeffrey, L. Whiteway +98
Beyond-two-point statistics contain additional information on cosmological as well as astrophysical and observational (systematics) parameters. In this methodology paper we provide…
Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers
D. Huppenkothen, M. Ntampaka, M. Ho +19
Machine learning has rapidly become a tool of choice for the astronomical community. It is being applied across a wide range of wavelengths and problems, from the classification of…
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…
pt combined probes: pipeline, neutrino mass, and data compression
Alexander Reeves, Andrina Nicola, Alexandre Refregier +2
With the rapid advance of wide-field surveys it is increasingly important to perform combined cosmological probe analyses. We present a new pipeline for simulation-based multi-prob…
Beyond the 3rd moment: A practical study of using lensing convergence CDFs for cosmology with DES Y3
D. Anbajagane, C. Chang, A. Banerjee +95
Widefield surveys of the sky probe many clustered scalar fields -- such as galaxy counts, lensing potential, gas pressure, etc. -- that are sensitive to different cosmological and…