Gravitational-wave parameter inference with the Newman-Penrose scalar $\psi_4$
Juan Calderon Bustillo, Isaac C.F. Wong, Nicolas Sanchis-Gual, Samson H.W. Leong, Alejandro Torres-Forne, Koustav Chandra, Jose A. Font, Carlos Herdeiro, Eugen Radu, T.G.F. Li

TL;DR
This paper introduces a new method for gravitational-wave data analysis that directly uses the Newman-Penrose scalar $\psi_4(t)$, bypassing the need for strain waveform integration and reducing systematic errors in parameter inference.
Contribution
The authors develop a framework to perform gravitational-wave analysis directly with $\psi_4(t)$ templates, eliminating artefacts from strain integration and improving accuracy in parameter estimation.
Findings
Successfully recovered simulated signals using $\psi_4(t)$ in LIGO noise.
Re-analyzed GW190521 with $\psi_4(t)$, obtaining consistent results with traditional methods.
Identified and corrected biases in high-mass GW event interpretation using the new framework.
Abstract
Detection and parameter inference of gravitational-wave signals \ncor{from compact mergers} rely on the comparison of the incoming detector strain data to waveform templates for the gravitational-wave strain that ultimately rely on the resolution of Einstein's equations via numerical relativity simulations. These, however, commonly output a quantity known as the Newman-Penrose scalar which, under the Bondi gauge, is related to the gravitational-wave strain by . Therefore, obtaining strain templates involves an integration process that introduces artefacts that need to be treated in a rather manual way. By taking second-order finite differences on the detector data and inferring the corresponding background noise distribution, we develop a framework to perform gravitational-wave data analysis directly using …
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Taxonomy
TopicsPulsars and Gravitational Waves Research
