Detection and Analysis of Gravitational Waves in the era of Multi-Messenger Astronomy: From Mathematical Modelling to Machine Learning (24w5177)

Organizers

Marco Cavaglia (Missouri University of Science and Technology)

Elena Cuoco (European Gravitational Observatory)

Shaon Ghosh (Montclair State University)

Jade Powell (Swinburne University of Technology)

Description

The Banff International Research Station will host the “Detection and Analysis of Gravitational Waves in the era of Multi-Messenger Astronomy: From Mathematical Modelling to Machine Learning” workshop in Banff from November 17 - 22, 2024.


Gravitational waves are a new way to explore the sky and uncover the Universe’s deepest mysteries. In the last few years, tens of gravitational-wave detections have allowed scientists to harness the potential of gravitational waves in testing Einstein’s General Relativity theory under extreme conditions, helping to understand the origin of dense matter, measuring the Hubble constant, and estimating the population of black holes in the Universe.


Researchers from all around the world are gathering in Oaxaca to discuss new, recent results from the LIGO, Virgo and KAGRA detectors and the future of gravitational-wave science. The workshop ``Detection and analysis of gravitational waves in the era of multi-messenger astronomy: From mathematical modelling to machine learning", a second in its series, provides a forum, unique in its genre, for discussing new mathematical methods in modelling, detecting, and analyzing gravitational waves, as well as their integration with machine learning and artificial intelligence.


The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada’s Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta’s Advanced Education and Technology, and Mexico’s Consejo Nacional de Ciencia y Tecnología (CONACYT).