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Cosmology from Galaxy Redshift Surveys with PointNet
Sotiris Anagnostidis, Arne Thomsen, Tomasz Kacprzak +4
In recent years, deep learning approaches have achieved state-of-the-art results in the analysis of point cloud data. In cosmology, galaxy redshift surveys resemble such a permutat…
CosmoGridV1: a simulated CDM theory prediction for map-level cosmological inference
Tomasz Kacprzak, Janis Fluri, Aurel Schneider +2
We present CosmoGridV1: a large set of lightcone simulations for map-level cosmological inference with probes of large scale structure. It is designed for cosmological parameter me…
Assessing theoretical uncertainties for cosmological constraints from weak lensing surveys
Ting Tan, Dominik Zuercher, Janis Fluri +3
Weak gravitational lensing is a powerful probe which is used to constrain the standard cosmological model and its extensions. With the enhanced statistical precision of current…
Redshift requirements for cosmic shear with intrinsic alignment
Silvan Fischbacher, Tomasz Kacprzak, Jonathan Blazek +1
Intrinsic alignment (IA) modelling and photometric redshift estimation are two of the main sources of systematic uncertainty in weak lensing surveys. We investigate the impact of r…
Constraining the Baryonic Feedback with Cosmic Shear Using the DES Year-3 Small-Scale Measurements
A. Chen, G. Aricò, D. Huterer +139
We use the small scales of the Dark Energy Survey (DES) Year-3 cosmic shear measurements, which are excluded from the DES Year-3 cosmological analysis, to constrain the baryonic fe…
Towards a full CDM map-based analysis for weak lensing surveys
Dominik Zürcher, Janis Fluri, Virginia Ajani +3
The next generation of weak lensing surveys will measure the matter distribution of the local Universe with unprecedented precision, allowing the resolution of non-Gaussian feature…
DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes
Tomasz Kacprzak, Janis Fluri
In classical cosmological analysis of large scale structure surveys with 2-pt functions, the parameter measurement precision is limited by several key degeneracies within the cosmo…
A Full CDM Analysis of KiDS-1000 Weak Lensing Maps using Deep Learning
Janis Fluri, Tomasz Kacprzak, Aurelien Lucchi +3
We present a full forward-modeled CDM analysis of the KiDS-1000 weak lensing maps using graph-convolutional neural networks (GCNN). Utilizing the , a novel m…