AI4Physics event: Differentiable Programming for the Frontiers of Computation: Methods and New Perspectives
- Date: 20 February 2025, 10:30–11:30
- Location: Ångström Laboratory, Å10238 Beurlingrummet
- Type: Seminar
- Lecturer: Pietro Vischia
- Organiser: AI4Physics
- Contact person: Christian Glaser
In this seminar, proof-of-concept results for the gradient-based optimization of experimental design will be presented. The workshop is a mix of theoretical lectures and practical exercises of differential programming.
Designing the next generation colliders and detectors involves solving optimization problems in high-dimensional spaces where the optimal solutions may nest in regions that even a team of expert humans would not explore. Furthermore, the large amount of data we need to generate to study physics for the next runs of large HEP machines and that we will need for future colliders is staggering, requiring rethinking of our simulation and reconstruction paradigm. Differentiable programming enables the incorporation of domain knowledge, encoded in simulation software, into gradient-based pipelines, resulting in the capability of optimizing a given simulation setting and performing inference through classically intractable settings.
See also Differential Programming at the Frontiers of Computation and Differential Programming at the Frontiers of Computation.