We will have a collection of four presentations from different members of the Accelerator Modelling and Advanced Simulations (AMAS) Group involving the use of Machine Learning techniques to their projects. The titles of each of the talks are as follow:

Wednesday 19 Jul 2023, 11:30 → 13:00 Europe/Zurich

OHSA/B17

ZOOM ID: https://psich.zoom.us/j/69335435814?pwd=OHpFYVBtM2I0emtNcFUvYUJVcG9BQT09
Meeting-ID: 693 3543 5814          Passcode: 437125 

SPEAKERS:

Sebastian Heinekamp: Bayesian Calibration and the role of surrogates

Renato Bellotti: Beam angle prediction for proton radiotherapy using a nearest neigbhour model 

Bastien Golomer: Beam angle prediction for proton radiotherapy using a CNN trained with unsupervised learning

Guglielmo Pacifico: Solving the Nuclear Decay Equation with Physics Informed Neural Networks