REVIEW 14 cited by
Follow-up Analyses to the O3 LIGO-Virgo-KAGRA Lensing Searches
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Follow-up Analyses to the O3 LIGO-Virgo-KAGRA Lensing Searches
read the original abstract
Along their path from source to observer, gravitational waves may be gravitationally lensed by massive objects. This results in distortions of the observed signal which can be used to extract new information about fundamental physics, astrophysics, and cosmology. Searches for these distortions amongst the observed signals from the current detector network have already been carried out, though there have as yet been no confident detections. However, predictions of the observation rate of lensing suggest detection in the future is a realistic possibility. Therefore, preparations need to be made to thoroughly investigate the candidate lensed signals. In this work, we present some of the follow-up analyses and strategies that could be applied to assess the significance of such events and ascertain what information may be extracted about the lens-source system from such candidate signals by applying them to a number of O3 candidate events, even if these signals did not yield a high significance for any of the lensing hypotheses. For strongly-lensed candidates, we verify their significance using a background of simulated unlensed events and statistics computed from lensing catalogs. We also look for potential electromagnetic counterparts. In addition, we analyse in detail a candidate for a strongly-lensed sub-threshold counterpart that is identified by a new method. For microlensing candidates, we perform model selection using a number of lens models to investigate our ability to determine the mass density profile of the lens and constrain the lens parameters. We also look for millilensing signatures in one of the lensed candidates. Applying these additional analyses does not lead to any additional evidence for lensing in the candidates that have been examined. However, it does provide important insight into potential avenues to deal with high-significance candidates in future observations.
Forward citations
Cited by 14 Pith papers
-
Gravitational lensing of gravitational waves: universal characteristics of strongly lensed memory waveforms
Strongly lensed gravitational-wave memory waveforms acquire universal parity signatures—odd for type I/III images, even for type II—that can identify image type via a simple step-function approximation.
-
GW Microlensing: Degeneracy with Unlensed Precessing and Non-Spinning Gravitational-Wave Signals
A CNN trained on Q-transform images separates microlensed from unlensed precessing and non-spinning black-hole merger signals with 80–95% accuracy in simulated noise.
-
Identifying lensed gravitational waves with physics-informed posterior learning
Fusing a simulation-trained common-source mass posterior with waveform features raises lensed-event detection efficiency from 20.8% to 35.2% at 1% false-positive rate and lowers the SNR for 50% efficiency from 45.3 to 33.5.
-
GW231123: False Massive Graviton Signatures from Unmodeled Point-Mass Lensing
Unmodeled point-mass lensing produces a spurious nonzero graviton mass posterior in GW231123 that vanishes when lensing is included in the analysis.
-
Can Eccentric Binary Black Hole Signals Mimic Gravitational-Wave Microlensing?
Eccentric BBH signals can masquerade as wave-optics microlensing in quasicircular analyses, but eccentric recovery templates break the degeneracy.
-
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.
-
Bayesian Analysis of Gravitational Wave Microlensing Effects from Galactic Double White Dwarfs
Bayesian analysis of simulated Taiji observations shows microlensing from lenses above 10^5 solar masses can be distinguished from unlensed DWD signals when separation is below 3 Einstein radii, while lower masses or ...
-
Discovering gravitational waveform distortions from lensing: A deep dive into GW231123
GW231123's apparent gravitational-lensing signal has a false-alarm probability around 4σ, so the event cannot be claimed as lensed under the two-image wave-optics model.
-
Self-lensing of moving gravitational-wave sources can break the microlensing crossing timescale degeneracy
Self-lensing of a moving GW chirp by an orbiting black hole yields a curve width and interference beats that together give the orbital distance and the black hole mass.
-
Accelerated inference of microlensed gravitational waves with machine learning
A neural posterior estimator trained on wave-optics-microlensed gravitational-wave signals recovers source and lens parameters and Bayes factors consistent with Bilby, about 10 times faster.
-
Probing globular clusters parameters through gravitational wave lensing with stellar-mass black hole binaries
Simulations of wave-optics lensing of GW150914-like signals by globular clusters recover injected velocity dispersion values for favorable alignments when lens and source parameters are jointly estimated.
-
Measuring the Hubble constant with strongly lensed gravitational waves from space-based detector networks
Simulations indicate joint Taiji+LISA analysis of five SLGW events yields H0 95% credible interval uncertainties of 0.11 (source redshift unknown) or 0.042 (source redshift known).
-
Considering lensing effect on gravitational wave signals from black holes in mass gap
Gravitational lensing could in principle explain apparent mass-gap black-hole mergers, but the required magnifications are μ≈12–39 for GW190521 and μ≈320–444 for GW231123 depending on assumptions—and the paper's abstr...
-
False Alarm Rates in Detecting Gravitational Wave Lensing from Astrophysical Coincidences: Insights with Model-Independent Technique GLANCE
Simulations of unlensed binary black hole mergers show that ~0.01% of event pairs are falsely classified as lensed by GLANCE at SNR threshold 1.5 with time delays of ~1000 days or more.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.