Swiss Cosmology Days 2025 - ETH Zurich

Session

Simulations

Jun 5, 2025, 2:45 PM

Siemens Auditorium (HIT E 51) (ETH Zurich)

10. Cosmology at small scales: combining probes with the baryonification method

Aurel Schneider (University of Zurich)

6/5/25, 2:45 PM

Simulations

Baryonic feedback processes significantly impact weak-lensing observations at small scales, introducing uncertainties and potential biases in cosmological parameter estimates. These challenges can be mitigated by combining weak-lensing data with complementary observations, such as X-ray and Sunyaev-Zeldovich (SZ) effect measurements. In this talk, I will introduce a new baryonification method...

4. Fast Simulation of Cosmological Neutral Hydrogen based on the Halo Model

Pascal Hitz (ETH Zurich)

6/5/25, 3:00 PM

Simulations

Cosmological neutral hydrogen (HI) surveys offer a powerful tomographic
probe of the post-reionization universe to test the standard model of cosmology. Efficiently simulating this signal is essential for optimizing the outcome of upcoming surveys. We present a fast simulation method of the cosmological HI distribution employing the halo model framework. Our approach uses the approximate but...

23. Interpretable Machine Learning for Constraining Self-Interacting Dark Matter in Galaxy Clusters

Ethan Tregidga (EPFL)

6/5/25, 3:15 PM

Simulations

Cold dark matter, the standard cosmological model, faces several challenges on small scales that self-interacting dark matter (SIDM) may help resolve. Traditional methods to constrain the SIDM cross-section often rely on summary statistics, which discard much of the available information, or require complex and computationally expensive lensing models. Machine learning (ML) has gained traction...

30. Speeding up galaxy evolution simulations with machine learning

Elif Ozlem Adiguzel (EPFL)

6/5/25, 3:30 PM

Simulations

Cosmological simulations are an essential part of understanding the large-scale structure of the universe and testing current cosmological theories. However, they can be computationally expensive. In particular, modelling the chemical evolution and gas cooling that occurs inside galaxies can take up significant amount of the computational budget. Solving the complex, coupled differential...