There is a newer version of the record available.

Published December 24, 2019 | Version 1

Surrogate waveform model for non-spinning black hole binary systems with mass-ratios varying from 3 to 10,000

  • 1. University of Massachusetts Dartmouth
  • 2. California Institute of Technology

Description

Surrogate model, EMRISur1dq1e4, for non-spinning black hole binary systems with mass-ratios varying from 3 to 10000. This surrogate model is trained on waveform data generated by point-particle black hole perturbation theory (ppBHPT), with the total mass rescaling parameter tuned to NR simulations. Available modes are [(2,2), (2,1), (3,3), (3,2), (3,1), (4,4), (4,3), (4,2), (5,5), (5,4), (5,3)]. The m<0 modes are deduced from the m>0 modes. Model details can be found in Rifat et al. 2019.

This data file is used to evaluate the surrogate model with either stand-alone Python code hosted by the Black Hole Perturbation Toolkit (Jupyter notebook tutorial) or the gwsurrogate python package (Jupyter notebook tutorial), which can be found on PyPI.

Files

Files (249.6 MB)

Name Size
md5:73cc9da9b77e92011a1244df6f4251eb
249.6 MB Download