Advancing Parameter Estimation for LIGO's Fourth Observing Run

With LIGO's fourth observing run fast approaching, the new generation of interferometers will be capable of detecting gravitational wave sources with higher signal-to-noise ratios than ever before. In order to keep up, LIGO's post processing algorithms will need to be upgraded to match these higher sensitivity levels. But what if we could combine preexisting algorithms rather than creating new ones to yield the same results? This project aims to use the preexisting parameter estimation algorithms Bilby and BayesWave, which were successfully implemented in LIGO's third observing run, to minimize residuals in gravitational waveform approximants for the new era of binary merger detections.