Gravitational Wave Parameter Estimation I: Methods

Presentations

• Addressing Systematic Error in Binary Black Hole Parameter Estimation through Improved Waveform Models

  ORAL

  April 5, 2024, 1:30 PM – April 5, 2024, 1:42 PM

  Presenters

  • Simone Mezzasoma

    • University of Illinois at Urbana-Champaign

  Authors

  • Simone Mezzasoma

    • University of Illinois at Urbana-Champaign

  • Caroline B Owen

    • University of Illinois at Urbana-Champai

  • Neil J Cornish

    • Montana State University

  • Carl-Johan O Haster

    • University of Nevada, Las Vegas

  • Nicolas Yunes

    • University of Illinois at Urbana-Champaign
    • University of Illinois Urbana-Champaign

  View abstract →

• Waveform systematics in gravitational-wave inference of signals from binary neutron star merger models incorporating higher order modes information

  ORAL

  April 5, 2024, 1:42 PM – April 5, 2024, 1:54 PM

  Presenters

  • Anjali Balasaheb Yelikar

    • Rochester Institute of Technology

  Authors

  • Anjali Balasaheb Yelikar

    • Rochester Institute of Technology

  • Richard O'Shaughnessy

    • Rochester Institute of Technology

  • Jacob A Lange

    • University of Texas at Austin

  • Aasim Z Jan

    • University of Texas at Austin

  View abstract →

• Gravitational wave inference with marginalization over waveform uncertainty

  ORAL

  April 5, 2024, 1:54 PM – April 5, 2024, 2:06 PM

  Presenters

  • Ritesh Bachhar

    • University of Rhode Island

  Authors

  • Ritesh Bachhar

    • University of Rhode Island

  • Michael Puerrer

    • University of Rhode Island

  • Stephen Green

    • University of Nottingham

  View abstract →

• Tempered Multifidelity Importance Sampling for Gravitational Wave Parameter Estimation

  ORAL

  April 5, 2024, 2:06 PM – April 5, 2024, 2:18 PM

  Publication: B. Saleh, A. Zimmerman, P. Chen, O. Ghattas. "Tempered Multifidelity Importance Sampling for Bayesian Parameter Estimation." (planned paper, 2024)

  Presenters

  • Bassel Saleh

    • University of Texas at Austin

  Authors

  • Bassel Saleh

    • University of Texas at Austin

  • Aaron Zimmerman

    • University of Texas at Austin

  • Omar Ghattas

    • University of Texas at Austin

  • Peng Chen

    • Georgia Institute of Technology

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• Enabling parallelized gravitational wave inference through unified-memory computation

  ORAL

  April 5, 2024, 2:18 PM – April 5, 2024, 2:30 PM

  Presenters

  • Carl-Johan O Haster

    • University of Nevada, Las Vegas

  Authors

  • Carl-Johan O Haster

    • University of Nevada, Las Vegas

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• Optimizing detection, parameter estimation, and sky localization of gravitational wave signals using a fast marginalization algorithm

  ORAL

  April 5, 2024, 2:30 PM – April 5, 2024, 2:42 PM

  Presenters

  • Javier Roulet

    • Caltech
    • California Institute of Technology

  Authors

  • Javier Roulet

    • Caltech
    • California Institute of Technology

  • Jonathan Mushkin

    • Weizmann Institute
    • Weizmann institute of science

  • Digvijay Wadekar

    • Institute for Advanced Study

  • Tejaswi Venumadhav

    • UC Santa Barbara
    • University of California, Santa Barbara

  • Barak Zackay

    • Weizmann Institute

  • Matias Zaldarriaga

    • Institute for Advanced Study

  View abstract →

• Source Confusion from Neutron Star Binaries in Third-Generation Ground-Based Gravitational-Wave Detectors

  ORAL

  April 5, 2024, 2:42 PM – April 5, 2024, 2:54 PM

  Publication: Source Confusion from Neutron Star Binaries in Ground-Based Gravitational Wave Detectors (in prep.)

  Presenters

  • Aaron D Johnson

    • Caltech

  Authors

  • Aaron D Johnson

    • Caltech

  • Katerina Chatziioannou

    • Caltech

  • Will M Farr

    • Stony Brook University (SUNY)

  View abstract →