Fast and Flexible: Using active and accurate Emulators for Cosmological Parameter Inference

by Sven Günther (RWTH Aachen U.)

Wednesday 17 Jan 2024, 11:30 → 12:30 Europe/Zurich

4/2-011 - TH common room (CERN)

Bayesian parameter inference is one of the key elements for model selection in cosmological research. However, the inference tools require a large number of calls to simulation codes which can lead to high and sometimes even infeasible computational costs. In this talk the speaker presents a new way of emulating simulation codes for Bayesian parameter inference as an easy-to-use lightweight plugin. Without the need for sampling any training data before using the emulator, it is capable to accelerate MCMC analyses of CMB data by 1-2 magnitudes and save 2-3 magnitudes of simulation calls. In particular, this novel approach emphasizes the uncertainty-awareness of the emulator, which allows to state the emulation accuracy and ensures reliable performance where needed.

Guenter_Cern_24.pdf