Scott Field
Wave propagation kernels- Code for loading and implementing asymptotic waveform evaluation (moving the solution recorded in the near-zone into the far-field without solving the PDE) and radiation boundary conditions (outgoing conditions for “transparent boundaries”) within an existing time-domain numerical solver. Kernels are available for a variety of partial differential equations on both flat and curved background geometries.
gwsurrogate - Surrogates provide a fast and accurate evaluation mechanism for gravitational waveforms which would otherwise be found through solving differential equations. This python package contains surrogate data and an easy-to-use surrogate evaluation interface. The source code is hosted on Github and datasets on Zenodo (see 
). Surrogate model catalogs are hosted here (SXS) and here (BHPTK) . You can easily install gwsurrogate through the Python Package Index
or anaconda:
>>> pip install gwsurrogate
>>> conda install -c conda-forge gwsurrogate
BHPTNRSurrogate - Python code to evaluate gravitational waveform surrogate models trained on waveform data generated by point-particle black hole perturbation theory and calibrated to numerical relativity in the comparable mass regime.
greedycpp - A fast, scalable and easy-to-use parallelization of the greedy algorithm for building application-specific basis, empirical interpolants and reduced order quadrature rules. Features include (i) Easy to interface with existing models, (ii) validate the approximation quality, (iii) find the empirical interpolation points using a fast algorithm (iv) parallelized for shared and distributed memory environments.
gwtools- A collection of useful functions and tools for working with gravitational waveform data. You can easily install gwtools through the Python Package Index:
>>> pip install gwtools
NRSurCat-1 - A catalog of posterior samples associated with the paper “Analysis of GWTC-3 with fully precessing numerical relativity surrogate models.”” This includes 47 binary black hole gravitational wave events (from 2015-2020, LVK O1-O3) analyzed using the NRSur7dq4 and NRSur7dq4Remnant models.
gw_Remnant - an easy-to-use python package to efficiently extract the remnant mass, remnant spin, peak luminosity, and the final kick imparted on the remnant black hole directly from the gravitational radiation. This package was developed and maintained by Tousif Islam.