Part 1: Calling Native Waveform Implementations (Tutorial + Notebook)

Author: Suyog Garg, Dated: 2025/11/18

This Markdown file accompanies the notebook GW_Waveform_Zoo_Native_Implementations.ipynb

Quick-start (conda or Colab)

Conda (recommended):

conda create -n gw-waveforms python=3.11 -c conda-forge -y
conda activate gw-waveforms
conda install pycbc gwsurrogate teobresums -c conda-forge -y
pip install pyseobnr

Colab: upload the notebook and run all cells. The first cell performs pip install.

What it covers

• PyCBC/LALSimulation models: TaylorF2/F2Ecc, SpinTaylorT4, IMRPhenom*, SEOBNRv4/v4HM, SEOBNRv4_ROM, Phenom+NRTidalv2, SEOBNRv4T_surrogate.
• pySEOBNR: SEOBNRv5HM / SEOBNRv5PHM / SEOBNRv5EHM.
• TEOBResumS via EOBRun Python bindings.
• GWSurrogate: NRSur7dq4, NRHybSur3dq8.

The notebook also benchmarks generation time across families for n=6 random draws per model.