Speaker
Description
Future upgraded and new gravitational-wave (GW) detectors are projected to detect gravitationally lensed GWs, potentially addressing a host of astrophysical and cosmological questions. Beyond strong lensing that produces multiple GW signals, GWs can also undergo lensing in the diffractive regime (aka microlensing). This will enable probing previously unobserved population of compact object lenses in the intermediate mass black hole (IMBH) mass range. However, extracting the properties of such lenses require computationally expensive, time-intensive microlensed waveform modeling, driven largely by lensing amplification factor calculations. In this work, we implement reduced-order surrogate models to accelerate microlensed waveform computation. We further show this technique scales with lens complexity and enables feasible parameter estimation for microlensed GWs.
