3 citations · 6 across the 8 of their papers we have counts for
7 papers · 1 filter
Gravitational-Wave Image Multiplicity as a Topological Probe of Dark-Matter Core Collapse
Tonghua Liu, Kai Liao, Marek Biesiada +1
Dark-matter self-interactions can drive subhalos through gravothermal core collapse, but conventional lensing observables vary continuously with uncertain inner profiles. We show t…
Probing Dark Matter Substructure with Wave-Optics Distortions of Strongly Lensed LISA Gravitational Waves
Tonghua Liu, Kai Liao, Marek Biesiada +1
Strong lensing changes the phase of a gravitational-wave signal as well as its amplitude and arrival time. We study whether this phase information can distinguish between three dar…
Finite-Core Signatures in LISA-Band Wave-Optics Lensing by Low-Mass Dark Matter Halos
Dejiang Li, Tonghua Liu, Kai Liao +3
LISA-band gravitational waves from massive binary black holes can be diffractively lensed by low-mass dark matter halos and subhalos, so their frequency-dependent amplification can…
Identification of Lensed Gravitational-Wave Beat Patterns by LISA
Hengyu Wu, Tonghua Liu, Kai Liao
Strong lensing of massive black hole binaries can produce multiple gravitational-wave images with different magnifications and arrival times. LISA signals remain in band for months…
Mock Catalogs of Strongly Lensed Gravitational Waves via a Halo Model Approach with Space-borne Detectors
Mingqi Sun, Kai Liao, Youkai Li +6
Future space-borne gravitational-wave (GW) detectors, such as LISA and DECIGO, are expected to detect a large number of GW events, a fraction of which may be strongly lensed by int…
Mock Catalogs of Strongly Lensed Gravitational Waves via A Halo Model Approach with Ground-based Detectors
Youkai Li, Kai Liao, Mingqi Sun +4
As plans for the construction of third-generation gravitational wave (GW) detectors advance, research into strongly lensed GWs has become increasingly critical. It is anticipated t…
Improved Identification of Strongly Lensed Gravitational Waves with Host Galaxy Locations
Tonghua Liu, Kai Liao
We present a Bayesian framework that enhances the identification of strongly lensed gravitational waves (GWs) by incorporating informative positional priors from the Euclid galaxy…