Hey there, I’m Liam 👋
A Quick Summary
🔭 My research interests involve developing Bayesian inference methods to analyse very high energy gamma ray event data to search for dark matter
📚 I am currently a member of the dark matter working group for the Cherenkov Telescope Array Observatory Consortium
💬 Feel free to ask me about Bayesian inference and observational dark matter searches
📫 How to reach me: Liam.Pinchbeck@monash.edu
😄 Pronouns: he/him
Current Research Interests (in no particular order)
1. How we can robustly use current-day gamma ray event data from the HESS and Fermi-LAT gamma ray experiments (shown on the middle and bottom left) to inform future searches for dark matter with the CTA Observatory (top left) and other next-generation gamma ray experiments and how to robustly infer information from these signals when/if detected by the CTA Observatory when we are unsure of the specific form of the signal that we may receive.
2. Scalable Bayesian inference methods to increase our ability to robustly constrain a possible dark matter signal. This includes the use of normalising flows for variational inference, nested sampling algorithms and various MC algorithms.
3. Methods to include various unknowns in our understanding of the gamma-ray sky to, you guessed it, robustly constrain a possible dark matter signal. This includes trying to infer parameters in galactic propagation models (such as GALPROP), dark matter models (such as micrOmegas, darkSUSY, FIRE-2/GIZMO) and gamma-ray telescope instrument noise models.
Thanks for having a look around!
You can find out more by looking at my Blog Posts, Publications, or CV.