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BEGIN:VEVENT
UID:52@appec.org
DTSTART;TZID=Europe/Berlin;VALUE=DATE:20230724
DTEND;TZID=Europe/Berlin;VALUE=DATE:20230727
DTSTAMP:20230418T122446Z
URL:https://appec.org/events/3rd-mode-workshop-on-differentiable-programmi
 ng-for-experiment-design/
SUMMARY:3rd MODE workshop on differentiable programming for experiment desi
 gn
DESCRIPTION:MODE (for Machine-learning Optimized Design of Experiments) is 
 a collaboration of physicists and computer scientists who target the use o
 f differentiable programming in design optimization of detectors for parti
 cle physics applications\, extending from fundamental research at accelera
 tors\, in space\, and in nuclear physics and neutrino facilities\, to indu
 strial applications employing the technology of radiation detection.\n\nOu
 r aim to develop modular\, customizable\, and scalable\, fully differentia
 ble pipelines for the end-to-end optimization of articulated objective fun
 ctions that model in full the true goals of experimental particle physics 
 endeavours\, to ensure optimal detector performance\, analysis potential\,
  and cost-effectiveness.\nThe 2023 workshop will take place at Princeton U
 niversity in Princeton\, NJ\, USA\, following the 2nd workshop in Crete in
  2022 and 1st workshop in Louvain-La-Neuve in 2021.\nThis workshop is part
  of the activities of the MODE Collaboration and of the SIVERT project.
ATTACH;FMTTYPE=image/jpeg:https://appec.org/wp-content/uploads/2023/04/Mod
 eWorkshop_Differential_Programming_2023_banner-1.png
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