Surrogate waveform model data for black hole binary systems computed in point-particle black hole perturbation theory

This repository contains all publicly available surrogate data for gravitational waveforms produced within the point-particle black hole perturbation theory framework and calibrated to numerical relativity simulations performed with the Spectral Einstein Code (SpEC). Several surrogate models are currently available in this catalog: BHPTNRSur1dq1e4, an updated version of the EMRISur1dq1e4 model described below. The updated version includes better calibration to NR, a smoother transition to plunge model, and more harmonic modes. Model details can be found in Islam et al. 2022. 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, which can be found on PyPI or conda-forge. 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.本仓库收录了基于点粒子黑洞微扰理论（point-particle black hole perturbation theory）框架生成，并经谱爱因斯坦代码（Spectral Einstein Code, SpEC）执行的数值相对论（numerical relativity）模拟校准的全部公开可用引力波波形替代数据。 当前该数据集目录中提供了多款替代模型： BHPTNRSur1dq1e4：即下述EMRISur1dq1e4模型的更新版本。该更新版本针对数值相对论模拟实现了更精准的校准，与突入模型的过渡更为平滑，且增加了更多谐波模式。模型细节可参阅Islam等人2022年的研究成果。该数据文件可通过黑洞微扰工具包（Black Hole Perturbation Toolkit）托管的独立Python代码（附带Jupyter Notebook教程），或PyPI、conda-forge平台上的gwsurrogate Python包调用，以完成该替代模型的评估。 EMRISur1dq1e4：适用于质量比范围为3至10000的无自旋双黑洞系统。该替代模型基于点粒子黑洞微扰理论（ppBHPT）生成的波形数据训练所得，并将总质量缩放参数校准至数值相对论（NR）模拟结果。可用谐波模式包括[(2,2), (2,1), (3,3), (3,2), (3,1), (4,4), (4,3), (4,2), (5,5), (5,4), (5,3)]，其中m<0的模式可由m>0的模式推导得出。模型细节可参阅Rifat等人2019年的研究成果。该数据文件可通过黑洞微扰工具包托管的独立Python代码（附带Jupyter Notebook教程），或PyPI平台上的gwsurrogate Python包（附带Jupyter Notebook教程）调用，以完成该替代模型的评估。