Gravitational lensing aided luminosity distance estimation for compact binary coalescences

Chunglee Kim; Eungwang Seo; Kyungmin Kim

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Gravitational lensing aided luminosity distance estimation for compact binary coalescences

Kyungmin Kim, Eungwang Seo, Chunglee Kim

General Relativity and Quantum Cosmology · Submitted 30 May 2023

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Taking into account the maximum magnification allowed in two lensing scenarios and simulated GW signals emitted from four different binary black holes, we find that the strong lensing can improve the precision of the distance estimation of a CBC by up to a factor of a few compared to that can be expected without lensing.

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arXiv ID2305.18689 (version 3)

Pith ID2QBVTYJP, Pith's permanent record of this paper and its review

CitationChunglee Kim, Eungwang Seo, Kyungmin Kim. "Gravitational lensing aided luminosity distance estimation for compact binary coalescences." arXiv:2305.18689 (2023). https://pith.science/paper/2QBVTYJP

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What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.66 · human participants 0.02 · controlled comparison 0.72 · randomized assignment 0.02 · states quantitative result 0.82 · compares with prior results 0.79 · mentions code or data availability 0.02.

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The luminosity distance is a key observable of gravitational-wave (GW) observations. We demonstrate how one can correctly retrieve the luminosity distance of compact binary coalescences (CBCs) if the GW signal is strongly lensed. We perform a proof-of-concept parameter estimation for the luminosity distance supposing (i) strong lensing produces two lensed GW signals emitted from a CBC, (ii) the Advanced LIGO-Virgo network detects both lensed signals as independent events, and (iii) the two events are identified as strongly lensed signals originated from the same source. Taking into account the maximum magnification allowed in two lensing scenarios and simulated GW signals emitted from four different binary black holes, we find that the strong lensing can improve the precision of the distance estimation of a CBC by up to a factor of a few compared to that can be expected without lensing.

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What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	The luminosity distance is a key observable of gravitational-wave (GW) observations.	background 1.00	0.05	0.02	asserted 1.00
s1	We demonstrate how one can correctly retrieve the luminosity distance of compact binary coalescences (CBCs) if the GW signal is strongly lensed.	contribution 1.00	0.81	0.25	asserted 0.97
s2	We perform a proof-of-concept parameter estimation for the luminosity distance supposing (i) strong lensing produces two lensed GW signals emitted from a CBC, (ii) the Advanced LIGO-Virgo network detects both lensed signals as independent events, and (iii) the two events are identified as strongly lensed signals originated from the same source.	method 0.73	0.92	0.07	asserted 0.76
s3	Taking into account the maximum magnification allowed in two lensing scenarios and simulated GW signals emitted from four different binary black holes, we find that the strong lensing can improve the precision of the distance estimation of a CBC by up to a factor of a few compared to that can be expected without lensing.	result 1.00	0.95	0.87	asserted 0.98

What kind of paper the classifier reports this is: simulation study 0.68 · evidence from simulation or computation 1.00.

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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

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Original abstract

The luminosity distance is a key observable of gravitational-wave (GW) observations. We demonstrate how one can correctly retrieve the luminosity distance of compact binary coalescences (CBCs) if the GW signal is strongly lensed. We perform a proof-of-concept parameter estimation for the luminosity distance supposing (i) strong lensing produces two lensed GW signals emitted from a CBC, (ii) the Advanced LIGO-Virgo network detects both lensed signals as independent events, and (iii) the two events are identified as strongly lensed signals originated from the same source. Taking into account the maximum magnification allowed in two lensing scenarios and simulated GW signals emitted from four different binary black holes, we find that the strong lensing can improve the precision of the distance estimation of a CBC by up to a factor of a few compared to that can be expected without lensing.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

What it cites · 25 sentences without a confident label

Uses the method or tool of 4 papers

The IMRPhenomXPHM waveform model [ref] is used for the preparation of both the injection signal and template signal.

Computationally efficient models for the dominant and sub-dominant harmonic modes of precessing binary black holes · Assumptions used in PE · 1.00
In addition, it allows us to infer lensing parameters such as the relative magnification factors $μ_rel$, time delays $Δt$ between arrival times of lensed GW signals, and differences between Morse number $Δn$ of the lensed signals [ref] .

On the waveforms of gravitationally lensed gravitational waves · PE for lensed signals · 0.85
Utilizing the Bilby library and Dynesty nested sampler [ref] , we perform PE (labeled as `normal PE' in Fig. [ref]) for a simulated $h_u(f)$.

dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences · PE for unlensed signals · 1.00

Uses data or values from 1 paper

We also test the feasibility with three other mock BBHs that are similar to the selected BBHs—representing different BBH populations and having different SNRs for their signals—listed in the latest gravitational-wave transient catalog, GWTC-3 [ref] .

GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run · Introduction · 0.97

Cites as background 13 papers

In the context of GW observation with the network of the Advanced LIGO (aLIGO) [ref] and the Advanced Virgo (AdV) [ref] , the precision of the distance estimation—in terms of the width of the posterior distribution of estimated distance—of a compact binary coalescence (CBC) is, in general, subject to the signal-to-noise ratio (SNR) of the signal given detector sensitivity and noises contained in data [ref] .

Parameter estimation with gravitational waves · Introduction · 0.87
In the context of GW observation with the network of the Advanced LIGO (aLIGO) [ref] and the Advanced Virgo (AdV) [ref] , the precision of the distance estimation—in terms of the width of the posterior distribution of estimated distance—of a compact binary coalescence (CBC) is, in general, subject to the signal-to-noise ratio (SNR) of the signal given detector sensitivity and noises contained in data [ref] .

Advanced Virgo: a 2nd generation interferometric gravitational wave detector · Introduction · 0.87
In the context of GW observation with the network of the Advanced LIGO (aLIGO) [ref] and the Advanced Virgo (AdV) [ref] , the precision of the distance estimation—in terms of the width of the posterior distribution of estimated distance—of a compact binary coalescence (CBC) is, in general, subject to the signal-to-noise ratio (SNR) of the signal given detector sensitivity and noises contained in data [ref] .

Advanced LIGO · Introduction · 0.87

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