Speaker
Mohamed Aly
(Princeton University (US))
Description
Using tooling from the Scikit-HEP ecosystem we implement differentiable analysis pipelines for representative HEP analysis use cases and provide complimentary examples to the IRIS-HEP Analysis Grand Challenge. This presentation details the process and related development work and covers the example workflows that benefit from gradient-based optimization, compared to bespoke hand optimization, the challenges that were faced during the process, and the approaches used to address these challenges. We also provide context on future work in this area as well as provide recommendations for broader engagement of the field.
Authors
Alexander Held
(University of Wisconsin Madison (US))
Jay Ajitbhai Sandesara
(University of Wisconsin Madison (US))
Lino Oscar Gerlach
(Princeton University (US))
Manfred Peter Fackeldey
(Princeton University (US))
Matthew Feickert
(University of Wisconsin Madison (US))
Mohamed Aly
(Princeton University (US))