Gravitational Wave Data Analysis I
ORAL · APR-B17 · ID: 3099927
Presentations
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Software tools to power machine learning development for gravitational wave physics
ORAL
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Presenters
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William Benoit
University of Minnesota
Authors
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William Benoit
University of Minnesota
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Ethan Jacob Marx
Massachusetts Institute of Technology
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Alec Gunny
Massachusetts Institute of Technology
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Deep Chatterjee
Massachusetts Institute of Technology
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Christina Reissel
MIT
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Muhammed Saleem
University of Minnesota
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Rafia Omer
University of Minnesota
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Katya Govorkova
MIT
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Eric Moreno
MIT
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Ryan Raikman
MIT
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Malina Desai
MIT
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Michael W Coughlin
University of Minnesota
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Erik Katsavounidis
MIT
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Philip C Harris
Massachusetts Institute of Technology
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Apporiate Fourier Coefficients for a Frequency Domain version to reduce Pulsar Timing Array datasets and detect a Gravitational Wave Background.
ORAL
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Presenters
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Robin Thomas Case
Oregon State University
Authors
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Robin Thomas Case
Oregon State University
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Dallas DeGan
Oregon State University
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Nima Laal
Vanderbilt University
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Xavier Siemens
Oregon State University
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Joseph D Romano
University of Texas Rio Grande Valley
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Analytic weak-signal approximation of the Bayes factor for continuous gravitational waves
ORAL
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Publication: https://arxiv.org/abs/2409.13069
Presenters
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Reinhard Prix
Max Planck Institute for Gravitational Physics (AEI), Hannover, Max-Planck-Institute for Gravitational Physics
Authors
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Reinhard Prix
Max Planck Institute for Gravitational Physics (AEI), Hannover, Max-Planck-Institute for Gravitational Physics
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Decoding the Cosmic Orchestra: Reconstruction of Binary Black Hole Harmonics in LIGO Using Deep Learning
ORAL
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Publication: 1. Chayan Chatterjee and Karan Jani 2024 ApJ 969 25 (https://iopscience.iop.org/article/10.3847/1538-4357/ad4602).<br>2. Chayan Chatterjee and Karan Jani 2024 ApJ 973 112 (https://iopscience.iop.org/article/10.3847/1538-4357/ad6984).
Presenters
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Chayan Chatterjee
Vanderbilt University
Authors
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Chayan Chatterjee
Vanderbilt University
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Karan Jani
Vanderbilt University
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Nicholas-Tyler Howard
Fisk-Vanderbilt Bridge Program
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Charting the nanohertz gravitational wave sky: rapid mapping using the PTA per-frequency optimal statistic
ORAL
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Publication: This project will be published in a paper: Gersbach et al. (in prep.)<br>This project uses methods derived in: Gersbach et al. 2024 (arXiv:2406.11954)
Presenters
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Kyle Gersbach
Vanderbilt University
Authors
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Kyle Gersbach
Vanderbilt University
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Stephen R Taylor
Vanderbilt University
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Anna-Malin Lemke
Universität Hamburg
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Andrea Mitridate
DESY
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Bence Bécsy
Oregon State University
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Nihan Pol
Texas Tech University
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A fast joint analysis for stochastic signals and individual SMBHBs in PTA datasets via direct sampling of a Fourier basis
ORAL
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Presenters
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Aiden Gundersen
Montana State University
Authors
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Aiden Gundersen
Montana State University
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Neil J Cornish
Montana State University
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A Time-frequency approach to the LISA Global Fit
ORAL
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Presenters
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Neil J Cornish
Montana State University
Authors
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Neil J Cornish
Montana State University
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Tyson Littenberg
NASA Marshall Space Flight Center
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Sudhi Mathur
Montana State University
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A study of time-frequency stacking to enhance detectability of BNS postmerger gravitational wave signals
ORAL
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Publication: (Planned paper) A study of time-frequency stacking to enhance detectability of BNS postmerger gravitational wave signals
Presenters
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Megan Arogeti
Georgia Institute of Technology
Authors
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Megan Arogeti
Georgia Institute of Technology
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Meg Millhouse
Georgia Institute of Technology
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Laura Cadonati
Georgia Institute of Technology
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Searches for Binary Black Hole Sources in LISA Data
ORAL
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Presenters
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Matthew C Digman
Vanderbilt University
Authors
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Matthew C Digman
Vanderbilt University
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Karan Jani
Vanderbilt University
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