The workshop will be virtual and will include sessions with talks and discussions. A panel discussion will conclude the workshop.
The workshop centres on the fact that model dependent LHC searches have not provided evidence of new resonances, indicating that these could be driven by more subtle topologies, hidden by large backgrounds. Phenomenologists have found many classes of New Physics that are difficult to test with current LHC analyses. In this light it is important to keep investigating what theories could be further explored. In addition we need to elaborate on methodologies that display less model dependencies. The use of Machine Learning may play a critical role here.
The opportunity to test a wider range of New Physics than ever before opened up very recently: CERN announced on the 11th of December 2020 a new open data policy, which will "make scientific research more accessible to the community”:
This is an excellent testing ground for new search strategies.
Please proceed to register at:
Looking forward to your participation
Stefan Antusch (University of Basel)
Nima Arkani-Hamed (Institute for Advanced Study, Princeton)
Nicole Bell (University of Melbourne)
Eduard Boos (Moscow State University)
Kingman Cheung (National Tsing Hua University)
Andreas Crivellin (Paul Scherrer Institute)
Bhupal Dev (Washington University in St. Louis)
Belen Gavela (Autonomous University of Madrid)
Rohini Godbole (Indian Institute of Science, Bangalore)
Tao Han (University of Pittsburgh)
Rabindra Mohapatra (University of Maryland)
Biswarup Mukhopadhyaya (IISER Kolkata)
Tilman Plehn (Heidelberg University)
Yifang Wang (Institute of High Energy Physics, Beijing)
Oliver Fischer (University of Liverpool), co-chair
Bruce Mellado (University of the Witwatersrand and iThemba LABS), co-chair