3rd MODE workshop on differentiable programming for experiment design
Date/Time
24/07/2023 - 26/07/2023
All Day
https://indico.cern.ch/event/1242538/
MODE (for Machine-learning Optimized Design of Experiments) is a collaboration of physicists and computer scientists who target the use of differentiable programming in design optimization of detectors for particle physics applications, extending from fundamental research at accelerators, in space, and in nuclear physics and neutrino facilities, to industrial applications employing the technology of radiation detection.
Our aim to develop modular, customizable, and scalable, fully differentiable pipelines for the end-to-end optimization of articulated objective functions that model in full the true goals of experimental particle physics endeavours, to ensure optimal detector performance, analysis potential, and cost-effectiveness.
The 2023 workshop will take place at Princeton University in Princeton, NJ, USA, following the 2nd workshop in Crete in 2022 and 1st workshop in Louvain-La-Neuve in 2021.
This workshop is part of the activities of the MODE Collaboration and of the SIVERT project.