Speaker
Description
The modeling of spin-precession and orbital eccentricity in gravitational-wave (GW) signals is crucial for understanding the astrophysical formation of compact binaries and ensuring that GW detector data is explored fully and without biases. However, describing these effects accurately and efficiently remains a challenge. In this talk, I will present pyEFPE, a frequency-domain post-Newtonian (PN) waveform model for precessing-eccentric inspirals. pyEFPE improves upon previous models by introducing analytical expressions for the eccentric amplitudes, enhancing the numerical stability of the spin-precession description, and adding recently derived post-Newtonian corrections, critical for accurately describing signals in GW detectors. Additionally, we introduce an amplitude interpolation scheme that improves computational efficiency and makes the model practical for data analysis. I will demonstrate these improvements by comparing pyEFPE against existing models and showcasing its application in parameter estimation studies.
