GPR surrogate model dataset for remnant black hole properties using perturbation theory and NR

This is the data-set used in BHPTNR_Remnant which is an easy-to-use python package to efficiently predict the remnant mass, remnant spin, peak luminosity and the final kick imparted on the remnant black hole directly from the gravitational radiation using GPR fits. These fits have been built on the remnant data calculated from numerical relativity informed black hole perturbation theory based waveforms.

Related Organizations

University of Massachusetts Dartmouth
United States

Keywords

binary black holes, numerical relativity, surrogate model, remnant model, perturbation theory

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