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

ORAL · F09 · ID: 1365722

Presentations

  • Bridging the machine learning deployment gap in gravitational wave physics

    ORAL

    –

    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 →

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

    ORAL

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    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

    View abstract →

  • Quasi-Anomalous Gravitational-Wave Detection with Recurrent Autoencoders

    ORAL

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    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

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    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

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    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

    View abstract →