3 papers
astro-ph.CO2025
Cosmology with Persistent Homology: Parameter Inference via Machine Learning
Juan Calles, Jacky H. T. Yip, Gabriella Contardo +3
Building upon [2308.02636], we investigate the constraining power of persistent homology on cosmological parameters and primordial non-Gaussianity in a likelihood-free inference pi…
astro-ph.CO2025
Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure
Jacky H. T. Yip, Adam Rouhiainen, Gary Shiu
The topology of the large-scale structure of the universe contains valuable information on the underlying cosmological parameters. While persistent homology can extract this topolo…
astro-ph.CO2024
Super-Resolution Emulation of Large Cosmological Fields with a 3D Conditional Diffusion Model
Adam Rouhiainen, Michael Gira, Moritz Münchmeyer +2
High-resolution (HR) simulations in cosmology, in particular when including baryons, can take millions of CPU hours. On the other hand, low-resolution (LR) dark matter simulations…