Detection and Analysis of Gravitational Waves
Videos from BIRS Workshop
Barbara Patricelli, University of Pisa
Monday Nov 18, 2024 09:34 - 10:04
Multi-messenger astronomy: synergies between gravitational wave and very high energy gamma-ray observations
Ben Farr, University of Oregon
Monday Nov 18, 2024 10:35 - 10:56
Better probabilistic catalogs with normalizing flows
Anarya Ray, Northwestern University
Monday Nov 18, 2024 11:00 - 11:24
Simulation-based astrophysical inference from gravitational wave catalogs
Ik Siong Heng, University of Glasgow
Monday Nov 18, 2024 13:02 - 13:26
Multi-messenger astronomy with machine learning
Christopher Messenger, Univeristy of Glasgow
Monday Nov 18, 2024 13:27 - 13:53
Matching matched filtering with machine learning (slight return)
Nikhil Sarin, Nordita-Stockholm
Monday Nov 18, 2024 14:03 - 14:34
Leveraging direct and indirect observations of merging neutron star binaries.
Aaron Zimmerman, University of Texas at Austin
Monday Nov 18, 2024 14:35 - 14:56
Searching for the unexpected with gravitational waves
Ajith Parameswaran, International Center for Theoretical Sciences (ICTS), Bangalore
Monday Nov 18, 2024 15:31 - 16:00
Cosmology using gravitationally lensed gravitational waves
Anuradha Gupta, University of Mississippi
Monday Nov 18, 2024 16:09 - 16:38
Challenges in claiming general relativity violation using gravitational wave observations
Gabriele Vajente, California Institute of Technology
Tuesday Nov 19, 2024 08:50 - 09:20
An instrumentalist's take on machine learning
Derek Davis, California Institute of Technology
Tuesday Nov 19, 2024 09:21 - 09:46
Too many glitches and not enough time
Tom Dooney, Utrecht University
Tuesday Nov 19, 2024 09:47 - 10:06
DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with U-Nets
Gabriele Vajente, California Institute of Technology
Tuesday Nov 19, 2024 13:05 - 14:53
Roundtable discussion: Applications of machine learning in GW instrumentation, calibration, and detector characterization
Shrobana Ghosh, Max Planck Institute for Gravitational Physics (AEI) Hannover
Tuesday Nov 19, 2024 15:32 - 15:59
Modeling astrophysical binaries for next generation gravitational wave detectors
Sharan Banagiri, Northwestern University / Monash University
Tuesday Nov 19, 2024 16:00 - 16:30
Is there evidence of precessing and anti-aligned black hole binaries?
Amitesh Singh, University of Mississippi
Tuesday Nov 19, 2024 16:30 - 16:55
Tracing the evolution of precessing binary black holes on eccentric orbits
Koustav Chandra, Penn State University
Tuesday Nov 19, 2024 16:55 - 17:23
Foreground signals minimally affect inference of high-mass binary black holes in next-generation gravitational-wave detectors
Sarah Antier, OCA
Wednesday Nov 20, 2024 09:19 - 09:45
AI for multi-messenger observations
Marco Serra, INFN Sezione di Roma
Wednesday Nov 20, 2024 09:45 - 10:10
Deep learning techniques to detect long transient gravitational waves
Mervyn Chan, University of British Columbia
Wednesday Nov 20, 2024 10:34 - 11:05
GSpyNetTreeS: auto glitch detection with segmentation
Soichiro Morisaki, University of Tokyo
Wednesday Nov 20, 2024 11:05 - 11:27
Toward Accurate Inference of Black Hole Spin Distribution
Andrew Toivonen, University of Minnesota
Thursday Nov 21, 2024 08:45 - 09:09
Low-latency gravitational-wave data products intended for multi-messenger searches in the fourth observing run of the International Gravitational-Wave Network
Miquel Miravet-Tenés, University of Southampton
Thursday Nov 21, 2024 09:12 - 09:37
Bayesian real-time classification of EM bright events
Sushant Sharma Chaudhary, Missouri University of Science and Technology
Thursday Nov 21, 2024 09:37 - 10:03
Estimation of CBC parameters' intervals in Low-Latency: A machine learning approach
Jessica McIver, The University of British Columbia
Thursday Nov 21, 2024 10:31 - 10:42
Roundtable discussion: Addressing demands of analyses in O5 and beyond
Ik Siong Heng, University of Glasgow
Thursday Nov 21, 2024 13:09 - 14:11
Roundtable discussion: Applications of machine learning in gravitational wave data analysis
Mairi Sakellariadou, King's College London
Thursday Nov 21, 2024 15:29 - 15:55
Searching for gravitational waves using dictionary learning
Melissa Lopez, Nikhef
Thursday Nov 21, 2024 15:57 - 16:25
Detection of anomalies amongst LIGO’s glitch populations with autoencoder
Francesco Di Renzo, Institut de Physique des 2 Infinis de Lyon
Thursday Nov 21, 2024 16:25 - 16:57
Data quality and event validation in LIGO-Virgo-KAGRA fourth joint observational campaign
Ryan Magee, California Institute of Technology
Thursday Nov 21, 2024 16:57 - 17:27
Machine learning as a tool to bolster GW detection pipeline outputs
