Authors synthesize SVD-based reduced-order models from wave-optics simulations to provide an effective stochastic description of stellar microlensing distortions on lensed gravitational waves.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
Subhalos produce percent-level modulations in saddle and minimum images; matched-filter analysis yields >5σ combined detections in 62% of realizations for fiducial sources near caustics, projecting 10-20 substructure detections over the LISA mission.
Neural spline flows perform fast posterior inference on 11-dimensional millilensed GW parameters with accuracy comparable to dynesty for most quantities and a 3-day to 0.8-second speedup.
citing papers explorer
-
Effective description of lensed gravitational waves diffracted by stellar fields
Authors synthesize SVD-based reduced-order models from wave-optics simulations to provide an effective stochastic description of stellar microlensing distortions on lensed gravitational waves.
-
Wave-optics imprints of dark matter subhalos on strongly lensed gravitational waves. II. Saddle images and detectability
Subhalos produce percent-level modulations in saddle and minimum images; matched-filter analysis yields >5σ combined detections in 62% of realizations for fiducial sources near caustics, projecting 10-20 substructure detections over the LISA mission.
-
Parameter inference of millilensed gravitational waves using neural spline flows
Neural spline flows perform fast posterior inference on 11-dimensional millilensed GW parameters with accuracy comparable to dynesty for most quantities and a 3-day to 0.8-second speedup.