181 citations · 503 across the 13 of their papers we have counts for
13 papers · 1 filter
Rapid Simulations of Halo and Subhalo Clustering
Pascale Berner, Alexandre Refregier, Raphael Sgier +3
The analysis of cosmological galaxy surveys requires realistic simulations for their interpretation. Forward modelling is a powerful method to simulate galaxy clustering without th…
Dark Energy Survey Year 3 results: Cosmology with peaks using an emulator approach
D. Zürcher, J. Fluri, R. Sgier +119
We constrain the matter density and the amplitude of density fluctuations within the CDM cosmological model with shear peak statistics and angular converg…
Combined -point analysis of the Cosmic Microwave Background and Large-Scale Structure: implications for the -tension and neutrino mass constraints
Raphael Sgier, Christiane Lorenz, Alexandre Refregier +3
We present cosmological constraints for the flat CDM model, including the sum of neutrino masses, by performing a multi-probe analysis of a total of 13 tomographic auto- and cro…
Baryonic effects in the Effective Field Theory of Large-Scale Structure and an analytic recipe for lensing in CMB-S4
Diogo P. L. Bragança, Matthew Lewandowski, David Sekera +2
Upcoming Large-Scale Structure surveys will likely become the next leading sources of cosmological information, making it crucial to have a precise understanding of the influence o…
Fast Lightcones for Combined Cosmological Probes
Raphael Sgier, Janis Fluri, Jörg Herbel +4
The combination of different cosmological probes offers stringent tests of the CDM model and enhanced control of systematics. For this purpose, we present an extension of the li…
Cosmological Forecast for non-Gaussian Statistics in large-scale weak Lensing Surveys
Dominik Zürcher, Janis Fluri, Raphael Sgier +2
Cosmic shear data contains a large amount of cosmological information encapsulated in the non-Gaussian features of the weak lensing mass maps. This information can be extracted usi…
Predicting Cosmological Observables with PyCosmo
F. Tarsitano, U. Schmitt, A. Refregier +7
Current and upcoming cosmological experiments open a new era of precision cosmology, thus demanding accurate theoretical predictions for cosmological observables. Because of the co…
Monte Carlo Control Loops for cosmic shear cosmology with DES Year 1
T. Kacprzak, J. Herbel, A. Nicola +52
Weak lensing by large-scale structure is a powerful probe of cosmology and of the dark universe. This cosmic shear technique relies on the accurate measurement of the shapes and re…
Effects of baryons on weak lensing peak statistics
Andreas J. Weiss, Aurel Schneider, Raphael Sgier +3
Upcoming weak-lensing surveys have the potential to become leading cosmological probes provided all systematic effects are under control. Recently, the ejection of gas due to feedb…
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanaël Perraudin, Michaël Defferrard, Tomasz Kacprzak +1
Convolutional Neural Networks (CNNs) are a cornerstone of the Deep Learning toolbox and have led to many breakthroughs in Artificial Intelligence. These networks have mostly been d…
Weak lensing peak statistics in the era of large scale cosmological surveys
Janis Fluri, Tomasz Kacprzak, Raphael Sgier +2
Weak lensing peak counts are a powerful statistical tool for constraining cosmological parameters. So far, this method has been applied only to surveys with relatively small areas,…
Fast cosmic web simulations with generative adversarial networks
Andres C. Rodriguez, Tomasz Kacprzak, Aurelien Lucchi +5
Dark matter in the universe evolves through gravity to form a complex network of halos, filaments, sheets and voids, that is known as the cosmic web. Computational models of the un…
Cosmological model discrimination with Deep Learning
Jorit Schmelzle, Aurelien Lucchi, Tomasz Kacprzak +4
We demonstrate the potential of Deep Learning methods for measurements of cosmological parameters from density fields, focusing on the extraction of non-Gaussian information. We co…