English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Upcoming cosmological weak lensing surveys are expected to constraincosmological parameters with unprecedented precision. In preparation for thesesurveys, large simulations with realistic galaxy populations are required totest and validate analysis pipelines. However, these simulations arecomputationally very costly -- and at the volumes and resolutions demanded byupcoming cosmological surveys, they are computationally infeasible. Here, wepropose a Deep Generative Modeling approach to address the specific problem ofemulating realistic 3D galaxy orientations in synthetic catalogs. For thispurpose, we develop a novel Score-Based Diffusion Model specifically for theSO(3) manifold. The model accurately learns and reproduces correlatedorientations of galaxies and dark matter halos that are statisticallyconsistent with those of a reference high-resolution hydrodynamical simulation.

Modeling halo and central galaxy orientations on the SO(3) manifold with score-based generative models