Predicting Binary Neutron Star Postmerger Spectra Using Artificial Neural Networks

arXiv (Cornell University)

Abstract

Gravitational waves in the postmerger phase of binary neutron star mergers may become detectable with planned upgrades of existing gravitational-wave detectors or with more sensitive next-generation detectors. The construction of template banks for the postmerger phase can facilitate signal detection and parameter estimation. Here, we investigate the performance of an artificial neural network in predicting simulation-based waveforms in the frequency domain (restricted to the magnitude of the frequency spectrum and to equal-mass models) that depend on three parameters that can be inferred through observations, neutron star mass, tidal deformability, and the gradient of radius versus mass. Compared to a baseline study using multiple linear regression, we find that the artificial neural network can predict waveforms with higher accuracy and more consistent performance in a cross-validation study. We also demonstrate, through a recalibration procedure, that future reduction of uncertainties in empirical relations that are used in our hierarchical scheme will result in more accurate predicted postmerger spectra.

Authors 4

1. Dimitrios Pesios

   Aristotle University of Thessaloniki

   Affiliation as printed

   Department of Physics , Aristotle University of Thessaloniki , GR-54124 Thessaloniki , Greece

2. Ioannis Koutalios Aachen Leiden Observatory

   Leiden University · Aristotle University of Thessaloniki · Leiden Observatory

   Affiliation as printed

   Department of Physics , Aristotle University of Thessaloniki , GR-54124 Thessaloniki , Greece

   Leiden Observatory , Leiden University , P.O. Box 9513 , 2300 RA Leiden , The Netherlands

3. Dimitris Kugiumtzis

   Aristotle University of Thessaloniki

   Affiliation as printed

   Department of Electrical and Computer Engineering , Aristotle University of Thessaloniki , GR-54124 Thessaloniki , Greece

4. Nikolaos Stergioulas

   Aristotle University of Thessaloniki

   Affiliation as printed

   Department of Physics , Aristotle University of Thessaloniki , GR-54124 Thessaloniki , Greece