Hi All,
We are pleased to announce that the Third MODE Workshop on Differentiable
Programming for Experiment Design will take place at Princeton University
on 24-26 July 2023. Forms for registration and abstract submission as
well as practical information (fee, travel, accommodations) about the
workshop can be found on the workshop website:
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.
The 2023 workshop at Princeton University follows earlier workshop
in Crete in 2022 (
https://indico.cern.ch/event/1145124/) and in
Louvain-La-Neuve in 2021 (
https://indico.cern.ch/event/1022938/).
For the organizing committee:
Tommaso Dorigo (INFN-Padova)
Peter Elmer (Princeton University)
Nicolas R. Gauger (TU-Kaiserslautern)
Pablo Martinez Ruiz del Arbol (Universidad de Cantabria)
Roberto Ruiz de Austri Bazan (IFIC Valencia, astro-HEP)
Pietro Vischia (Universidad de Oviedo)
Gordon Watts (University of Washington)
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Peter Elmer E-mail:
Peter...@cern.ch Phone:
+41 (22) 767-4644
Address: CERN EP-UCM, Bldg. 32 2-C14 CH-1211 Geneva 23, Switzerland
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