Contact: cavagliam[AT]mst.eduLocation: Banff, Alberta, Canada
The Banff International Research Station (BIRS) in Banff, Canada, will host the workshop “Detection and Analysis of Gravitational Waves in the Era of Multi-Messenger Astronomy: From Mathematical Modeling to Machine Learning” (24w5177) from November 17 to November 22, 2024. The workshop is part of Banff’s International Research Station for Mathematical Innovation and Discovery (BIRS) program.
Similarly to our first gathering in Oaxaca in 2021, the workshop will combine talks with less formal discussion and brainstorming sessions. The program will focus on mathematical approaches for modeling, detecting, and analyzing gravitational waves, as well as their integration with machine learning and artificial intelligence:
– What is the present status of analytical and numerical methods, machine learning algorithms, and data analysis techniques for detecting gravitational waves, and where do we go from here?
– General relativity for future detectors. What is the future of template generation, initial data definition, Einstein equation evolution, and higher-order waveform extraction?
– Theories beyond Einstein’s General Relativity that may have detectable effects. What new physics can the 2.5G and 3G detectors discover? What level of accuracy is required to detect beyond-GR effects?
– Machine learning techniques for improving the sensitivity of gravitational wave detectors and extracting physical information. Can we completely automate 2.5G and 3G detector searches?
In-person attendance is by invitation only, but the workshop will be held in a hybrid format, with the possibility of attending via Zoom. There is no charge for attending the workshop. However, participant registration is required. If you are interested in participating, please complete the form linked in this announcement.
If you have any questions, please feel free to reach out to us.
The organizing committee
Marco Cavaglia, Elena Cuoco, Shaon Ghosh Jade Powell
LIst of confirmed participants and speakers:
Antier, Sarah (OCA)
Banagiri, Sharan (Northwestern University / Monash University)
Baylor, Amanda (University of Wisconsin – Milwaukee)
Brady, Patrick (University of Wisconsin-Milwaukee)
Caudill, Sarah (University of Massachusetts Dartmouth)
Cavaglia, Marco (Missouri University of Science and Technology)
Chan, Mervyn (University of British Columbia)
Coughlin, Michael (University of Minnesota)
Davis, Derek (California Institute of Technology)
Di Renzo, Francesco (Institut de Physique des 2 Infinis de Lyon)
Farr, Ben (University of Oregon)
Gupta, Anuradha (University of Mississippi)
Heng, Ik Siong (University of Glasgow)
Magee, Ryan (California Institute of Technology)
Malakar, DIshari (Missouri University of Science and Technology)
McIver, Jessica (The University of British Columbia)
Messick, Cody (University of Wisconsin-Milwaukee)
Millhouse, Meg (Georgia Institute of Technology)
Miravet-Tenes, Miquel (University of Southampton)
Morisaki, Soichiro (University of Tokyo)
Pannarale, Francesco (Sapienza – University of Rome and INFN)
Parameswaran, Ajith (International Center for Theoretical Sciences (ICTS), Bangalore)
Patricelli, Barbara (University of Pisa)
Powell, Jade (Swinburne University of Technology)
Ray, Anarya (Northwestern University)
Razzano, Massimiliano (University of Pisa)
Sakellariadou, Mairi (King’s College London)
Sarin, Nikhil (Nordita-Stockholm)
Sharma Chaudhary, Sushant (Missouri University of Science and Technology)
Singh, Amitesh (University of Mississippi)
Toivonen, Andrew (University of Minnesota)
Vajente, Gabriele (California Institute of Technology)
Winborn, Charlie (Missouri University of Science and Technology)
Wysocki, Daniel (University of Wisconsin – Milwaukee)
Zheng, Yanyan (Missouri University of Science and Technology)
Zimmerman, Aaron (University of Texas at Austin)