Gravitational Wave Data Analysis: Machine Learning Methods and Black Hole Spin Inference

Presentations

• Bridging the machine learning deployment gap in gravitational wave physics

  ORAL

  April 16, 2023, 8:30 AM – April 16, 2023, 8:42 AM

  Presenters

  • Alec M Gunny

    • Massachusetts Institute of Technology

  Authors

  • Alec M Gunny

    • Massachusetts Institute of Technology

  • Ethan J Marx

    • Massachusetts Institute of Technology

  • William Benoit

    • University of Minnesota

  • Deep Chatterjee

    • Massachusetts Institute of Technology
    • MIT

  • Michael W Coughlin

    • University of Minnesota

  • Erik Katsavounidis

    • Massachusetts Institute of Technology
    • MIT
    • LIGO Lab, MIT

  • Muhammed Saleem

    • University of Minnesota

  • Eric Moreno

    • Massachusetts Institute of Technology
    • MIT

  • Philip C Harris

    • Massachusetts Institute of Technology
    • MIT

  • Dylan S Rankin

    • Massachusetts Institute of Technology
    • University of Pennsylvania
    • MIT

  • Ryan J Raikman

    • Carnegie Mellon University

  View abstract →

• Detecting and Denoising Gravitational Waves from Neutron Stars using Deep Learning

  ORAL

  April 16, 2023, 8:42 AM – April 16, 2023, 8:54 AM

  Publication: Chinthak Murali & David Lumley (under preparation)

  Presenters

  • Chinthak Murali

    • University of Texas at Dallas

  Authors

  • Chinthak Murali

    • University of Texas at Dallas

  • David Lumley

    • University of Texas at Dallas

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• New search pipeline for gravitational waves with higher-order harmonics

  ORAL

  April 16, 2023, 8:54 AM – April 16, 2023, 9:06 AM

  Publication: Wadekar et al., in prep., 2023

  Presenters

  • Digvijay S Wadekar

    • Institute for Advanced Study

  Authors

  • Digvijay S Wadekar

    • Institute for Advanced Study

  • Tejaswi Venumadhav

    • University of California Santa Barbara
    • University of California, Santa Barbara

  • Matias Zaldarriaga

    • Institute for Advanced Study

  • Javier Roulet

    • Princeton University

  • Barak Zackay

    • Weizmann institute

  • Seth Olsen

    • Princeton University

  • Jonathan Mushkin

    • Weizmann institute

  • Ajit Mehta

    • University of California Santa Barbara

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• Quasi-Anomalous Gravitational-Wave Detection with Recurrent Autoencoders

  ORAL

  April 16, 2023, 9:06 AM – April 16, 2023, 9:18 AM

  Presenters

  • Ryan J Raikman

    • Carnegie Mellon University

  Authors

  • Ryan J Raikman

    • Carnegie Mellon University

  • Eric Moreno

    • Massachusetts Institute of Technology
    • MIT

  • Erik Katsavounidis

    • Massachusetts Institute of Technology
    • MIT
    • LIGO Lab, MIT

  • Philip C Harris

    • Massachusetts Institute of Technology
    • MIT

  • Ethan J Marx

    • Massachusetts Institute of Technology

  • William Benoit

    • University of Minnesota

  • Ekaterina Govorkova

    • MIT

  • Deep Chatterjee

    • Massachusetts Institute of Technology
    • MIT

  • Michael W Coughlin

    • University of Minnesota

  • Muhammed S Cholayil

    • LIGO
    • University of Minnesota

  • Dylan S Rankin

    • Massachusetts Institute of Technology
    • University of Pennsylvania
    • MIT

  View abstract →

• Detecting Binary Black Hole Mergers with Effective Machine Learning Infrastructure

  ORAL

  April 16, 2023, 9:18 AM – April 16, 2023, 9:30 AM

  Presenters

  • William Benoit

    • University of Minnesota

  Authors

  • William Benoit

    • University of Minnesota

  • Alec M Gunny

    • Massachusetts Institute of Technology

  • Ethan J Marx

    • Massachusetts Institute of Technology

  • Deep Chatterjee

    • Massachusetts Institute of Technology
    • MIT

  • Rafia Omer

    • University of Minnesota

  • Michael W Coughlin

    • University of Minnesota

  • Erik Katsavounidis

    • Massachusetts Institute of Technology
    • MIT
    • LIGO Lab, MIT

  • Muhammed Saleem

    • University of Minnesota

  • Eric Moreno

    • Massachusetts Institute of Technology
    • MIT

  • Dylan S Rankin

    • Massachusetts Institute of Technology
    • University of Pennsylvania
    • MIT

  • Philip C Harris

    • Massachusetts Institute of Technology
    • MIT

  • Ryan J Raikman

    • Carnegie Mellon University

  View abstract →

• Spin it as you like: the (lack of a) measurement of the spin tilt distribution with LIGO-Virgo-KAGRA binary black holes

  ORAL

  April 16, 2023, 9:30 AM – April 16, 2023, 9:42 AM

  Publication: A&A 668, L2 (2022)

  Presenters

  • Salvatore Vitale

    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology MIT

  Authors

  • Salvatore Vitale

    • Massachusetts Institute of Technology MI
    • Massachusetts Institute of Technology MIT

  • Andrea S Biscoveanu

    • Massachusetts Institute of Technology

  • Colm Talbot

    • Massachusetts Institute of Technology

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• How can we measure spin precession for heavy binary black holes using gravitational waves?

  ORAL

  April 16, 2023, 9:42 AM – April 16, 2023, 9:54 AM

  Presenters

  • Simona J Miller

    • Caltech

  Authors

  • Simona J Miller

    • Caltech

  • Maximiliano Isi

    • Massachusetts Institute of Technology MIT

  • Katerina Chatziioannou

    • Caltech

  • Vijay Varma

    • Cornell University

  View abstract →