Dr. Michael Pürrer
Dr. Michael Pürrer
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gravitational waves
Deep learning surrogate model of gravitational waves
Deep learning algorithms have the potential to dramatically improve predictive models of chirp like gravitational waves.
Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo
Bayesian inference for compact binary coalescences with BILBY: validation and application to the first LIGO-Virgo gravitational-wave transient catalogue
Gravitational-wave Constraints on the Equatorial Ellipticity of Millisecond Pulsars
Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA
Enhancing Gravitational-Wave Science with Machine Learning
A guide to LIGO-Virgo detector noise and extraction of transient gravitational-wave signals
Search for Gravitational-wave Signals Associated with Gamma-Ray Bursts during the Second Observing Run of Advanced LIGO and Advanced Virgo
Search for Eccentric Binary Black Hole Mergers with Advanced LIGO and Advanced Virgo during Their First and Second Observing Runs
Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo
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