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