22 November 2021
Australia/Sydney timezone

Bayesian Inference for Dark Matter Detection with CTA

22 Nov 2021, 12:10
20m

Speaker

Csaba Balazs (School of Physics and Astronomy, Monash University)

Description

I report on the development of a Bayesian inference software pipeline to determine the sensitivity of CTA to dark matter annihilation events in the Galactic Centre. After highlighting the theoretical foundation of the pipeline I'll describe its components. I'll show predicted limits on the velocity-averaged annihilation cross section as the function of dark matter mass for one of the simplest dark matter scenarios, the scalar singlet model.

Primary author

Csaba Balazs (School of Physics and Astronomy, Monash University)

Presentation materials