Sebastian Heinekamp
I'm a PhD student in the Accelerator Modelling Group at the Paul Scherrer Institute. My work focuses on Bayesian statistics and data assimilation, leveraging Julia and the Turing.jl, in the context of particle accelerator experiments.
Session
08-13
12:45
15min
Bayesian Calibration using Turing.jl: A Flexible Framework for Experimental Data Assimilation
Sebastian Heinekamp
We present a Bayesian calibration framework built on Turing.jl for statistically rigorous data assimilation. To scale inference with Gaussian Processes, we employ a Bayesian Committee Machine approach, and exploit parallelism across both CPU and GPU backends.
We demonstrate the framework on both analytical and real-world data from accelerator physics, highlighting speedups.
The result is a practical, flexible toolkit designed for rapid model updating and calibration.
General
Room 2