ARIES APEC & iFAST SMART PAF Brainstorming and Strategy Workshop

from Tuesday, March 29, 2022 (9:00 AM) to Friday, April 1, 2022 (6:00 PM)


        : Sessions
    /     : Talks
        : Breaks
Mar 29, 2022
Mar 30, 2022
Mar 31, 2022
Apr 1, 2022
AM
9:00 AM iFAST welcome and intro - Frank Zimmermann (CERN)  
9:20 AM Dark sector landscape - SHIP, SHIP upgrades, "eSPS" and others - Richard Jacobsson (CERN)  
11:00 AM --- Coffee Break ---
11:30 AM Gamma factory concepts and atomic clocks for the dark sector - Mieczyslaw Witold Krasny (LPNHE, Sorbonne University, Paris, Centre National de la Recherche Scientifique (FR) and CERN)  
9:00 AM Hybrid EDM ring and axions? - Christian Carli (CERN)  
9:45 AM Visions on the future requirements for physics research - Mieczyslaw Witold Krasny (LPNHE, Sorbonne University, Paris, Centre National de la Recherche Scientifique (FR) and CERN)  
10:30 AM --- Coffee Break ---
11:00 AM Discussion: Beam requirements and accelerators for the dark sector  
9:00 AM Overview of Machine Learning Prospects for the CERN accelerator complex - Verena Kain (CERN)  
9:45 AM Machine learning applications at the LHC and for future colliders (including muons) - Elena Fol (CERN)  
10:30 AM --- Coffee Break ---
11:00 AM Dark Sector landscape and future search strategies - Richard Jacobsson (CERN)  
11:25 AM Possible ML applications for the FCC - Frank Zimmermann (CERN)  
11:50 AM Discussion: (1) Expert Systems, (2) Machine Learning for the Dark Sector  
PM
8:00 PM Welcome drink & dinner  
12:30 PM --- Lunch ---
1:30 PM The Dark Sector and Searches in Forward Physics - Felix Kling (University of California, Irvine) Felix Kling (DESY)  
2:05 PM What advanced accelerators could do and possible beam parameters for high energies - Ralph Wolfgang Assmann (DESY)  
2:55 PM Dark sector activities at Fermilab and in the USA ? - Vladimir Shiltsev  
3:50 PM --- Coffee Break ---
4:20 PM Dark sector proposals from around the globe & Discussions  
12:15 PM Open Space  
12:30 PM --- Lunch ---
1:30 PM Machine learning landscape - Rasmus Ischebeck (Paul Scherrer Institut)  
2:15 PM Machine learning challenges - Giuliano Franchetti  
2:45 PM Adaptive Machine Learning for Time Dependent Effects in Accelerators - Alexander Scheinker  
3:30 PM Machine learning /AI for accelerators at Fermilab and surroundings? - Vladimir Shiltsev Vladimir Shiltsev  
4:00 PM --- Coffee Break ---
4:30 PM Discussion and "ad-hoc" contributions  
12:25 PM --- Lunch ---
2:00 PM DISCUSSION: Putting the pieces together  
3:25 PM --- Coffee Break ---