Probing the spin of compact objects with gravitational microlensing of gravitational waves
Gopalkrishna Prabhu, Uddeepta Deka, Sumanta Chakraborty, Shasvath J. Kapadia
TL;DR
The paper investigates wave-optics gravitational microlensing of gravitational waves by slowly rotating compact objects, deriving the spin-dependent lensing potential and the corresponding waveforms in the weak-field limit. It introduces a Fresnel-based magnification function $F(w)$ and a dimensionless frequency $w$, then computes lensed GW signals numerically, including spin-induced asymmetries and caustic structures. A Bayesian, high-SNR framework shows that lens spin parameters can be recovered within $90\%$ credibility for ET-like detectors at SNRs of 50–100, with stronger constraints at higher SNR and notable $M_\ell$–$y$ correlations. Because astrophysical BHs have tiny spin corrections in this regime, the method remains especially relevant for exotic or naked-singularity-like spin configurations, highlighting the potential of future GW lensing observations to probe fundamental physics and the spin content of compact objects.
Abstract
Propagating gravitational waves (GWs) can encounter a massive object (lens) whose gravitational radius is comparable to the wavelength of the GWs (wave-optics regime). The resulting `microlensed' signal contains imprints about the properties of the lens. In this work, we compute the GW waveforms microlensed by a rotating compact object in weak-field gravity. Using these waveforms, for the first time, we assess how well the parameters of the rotating lens can be inferred from GW lensing observations. We find that if we allow for naked singular solutions within general relativity or beyond, which in principle can have spins that are not bounded to be extremal, our method can be used to extract the rotating lens parameters using observations of microlensed GWs with future detectors. As a result, we find that the lens parameters for such lenses are well recovered within $90\%$ confidence for signal-to-noise ratio (SNR) 50 and especially well for SNR$=100$ with Einstein Telescope.
