ARIES APEC & iFAST SMART PAF Brainstorming and Strategy Workshop

from Tuesday 29 March 2022 (09:00) to Friday 1 April 2022 (18:00)


        : Sessions
    /     : Talks
        : Breaks
29 Mar 2022
30 Mar 2022
31 Mar 2022
1 Apr 2022
AM
09:00 iFAST welcome and intro - Frank Zimmermann (CERN)  
09:20 Dark sector landscape - SHIP, SHIP upgrades, "eSPS" and others - Richard Jacobsson (CERN)  
11:00 --- Coffee Break ---
11:30 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)  
09:00 Hybrid EDM ring and axions? - Christian Carli (CERN)  
09:45 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 --- Coffee Break ---
11:00 Discussion: Beam requirements and accelerators for the dark sector  
09:00 Overview of Machine Learning Prospects for the CERN accelerator complex - Verena Kain (CERN)  
09:45 Machine learning applications at the LHC and for future colliders (including muons) - Elena Fol (CERN)  
10:30 --- Coffee Break ---
11:00 Dark Sector landscape and future search strategies - Richard Jacobsson (CERN)  
11:25 Possible ML applications for the FCC - Frank Zimmermann (CERN)  
11:50 Discussion: (1) Expert Systems, (2) Machine Learning for the Dark Sector  
PM
20:00 Welcome drink & dinner  
12:30 --- Lunch ---
13:30 The Dark Sector and Searches in Forward Physics - Felix Kling (University of California, Irvine) Felix Kling (DESY)  
14:05 What advanced accelerators could do and possible beam parameters for high energies - Ralph Wolfgang Assmann (DESY)  
14:55 Dark sector activities at Fermilab and in the USA ? - Vladimir Shiltsev  
15:50 --- Coffee Break ---
16:20 Dark sector proposals from around the globe & Discussions  
12:15 Open Space  
12:30 --- Lunch ---
13:30 Machine learning landscape - Rasmus Ischebeck (Paul Scherrer Institut)  
14:15 Machine learning challenges - Giuliano Franchetti  
14:45 Adaptive Machine Learning for Time Dependent Effects in Accelerators - Alexander Scheinker  
15:30 Machine learning /AI for accelerators at Fermilab and surroundings? - Vladimir Shiltsev Vladimir Shiltsev  
16:00 --- Coffee Break ---
16:30 Discussion and "ad-hoc" contributions  
12:25 --- Lunch ---
14:00 DISCUSSION: Putting the pieces together  
15:25 --- Coffee Break ---