Thrill WP5 ML Workshop

This is the kickoff workshop for Thrill WP5.4 -- machine learning (ML) model for laser stabilization. During this workshop, we want to discuss the preferred targets, like beam pointing or spectral properties, which have impact on how experiments are conducted at our partner facilities and invite partners from all Thrill WPs to participate in this discussion. In order to define a common goal and coordinate forces, the scope of potential contributions ML can make will be presented alongside a review of past outcomes within the laser community. As ML methods require continuous access data to both be developed and employed, data acquisition and management at partner facilities at ELI, GSI, HZDR, LULI, Amplitude and X-FEL will be presented and discussed to define future directions.