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14:00
MCMC parameter estimation methods for LISA massive black holes
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Sylvain Marsat
(L2I Toulouse, CNRS/IN2P3, UT3)
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14:30
Importance nested sampling with nessai for gravitational-wave inference
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Michael Williams
(University of Glasgow)
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14:45
Massive Black Hole Binary parameter estimation using Masked Autoregressive Flows
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Ivan Martin Vilchez
(Institute of Space Science (ICE, CSIC and IEEC))
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15:00
Learning-based models for gravitational wave analysis
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Elie Leroy
(DRF-IRFU)
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15:15
LISA Data Analysis - A Deep Learning Approach
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Florentina-Crenguta Pislan
(Institute of Space Science, Faculty of Physics)
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16:00
Characterizing Anisotropic Stochastic Gravitational Wave Backgrounds and Foregrounds with the Bayesian LISA Pipeline (BLIP)
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Alexander Criswell
(University of Minnesota)
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16:15
Searching for primordial features with LISA
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Jacopo Fumagalli
(IAP)
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16:30
Detecting Gravitational Waves from Cosmic Strings with LISA
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Namitha Suresh
(Cornell University)
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16:45
Bayesian inference methods in cosmology with LISA standard sirens
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Danny Laghi
(CNES, L2I Toulouse, CNRS/IN2P3, UT3)
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17:00
Modified Gravity Forecasting with Large Scale Structure in the LISA era, including a Machine Learning analysis
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Alexander Bonilla Rivera
(UFJF)
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17:15
Merger-ringdown test -- A novel test of GR using a machine learning implementation
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Swetha Bhagwat
(University of Birmingham)
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17:30
On the edge of quantum black holes
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Jahed Abedi
(University of Stavanger)
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17:45
Determining the Individual Masses of Accreting White Dwarf Binaries
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Sophia Yi
(University of Virginia)