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[ascl:2307.023] PyIMRPhenomD: Stellar origin black hole binaries population estimator

PyIMRPhenomD estimates the population of stellar origin black hole binaries for LISA observations using a Bayesian parameter estimation algorithm. The code reimplements IMRPhenomD (ascl:2307.019) in a pure Python code, compiled with the Numba just-in-time compiler. The module implements the analytic first and second derivatives necessary to compute t(f) and t'(f) rather than computing them numerically. Using the analytic derivatives increases the code complexity but produces faster and more numerically accurate results; the improvement in numerical accuracy is particularly significant for t'(f).

Code site:
https://github.com/XGI-MSU/PyIMRPhenomD
Used in:
https://ui.adsabs.harvard.edu/abs/2022arXiv221204600D
Bibcode:
2023ascl.soft07023D
Keywords: NASA, LISA

Views: 1358

ascl:2307.023
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