Gravitational Lensing of Core Collapse Supernova Gravitational Wave Signals
Rahul Ramesh, Ashish Kumar Meena, J. S. Bagla (IISER Mohali)

TL;DR
This paper proposes a new power spectrum analysis technique to identify and characterize gravitational lensing effects on gravitational wave signals from core-collapse supernovae, especially for nearby sources detectable by ground-based detectors.
Contribution
It introduces a novel method based on power spectrum peak association to detect and estimate lens masses in lensed GW signals from supernovae.
Findings
Differentiates lensed and unlensed signals for lens masses >150 solar masses
Can detect lensing effects for lenses as small as 15 solar masses
Enables lens mass estimation from the GW signal
Abstract
We discuss the prospects of gravitational lensing of gravitational waves (GWs) coming from core-collapse supernovae (CCSN). As the CCSN GW signal can only be detected from within our own Galaxy and the local group by current and upcoming ground-based GW detectors, we focus on microlensing. We introduce a new technique based on analysis of the power spectrum and association of peaks of the power spectrum with the peaks of the amplification factor to identify lensed signals. We validate our method by applying it on the CCSN-like mock signals lensed by a point mass lens. We find that the lensed and unlensed signal can be differentiated using the association of peaks by more than one sigma for lens masses M. We also study the correlation integral between the power spectra and corresponding amplification factor. This statistical approach is able to…
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