Journal Article10.3847/1538-4365/ad5446
Improving Cosmological Constraints by Inferring the Formation Channel of Extreme-mass-ratio Inspirals
Liang-Gui Zhu,Hui-Min Fan,Xian Chen,A. Giazotto,Jian-dong Zhang +4 more
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TL;DR: This study demonstrates how space-borne gravitational-wave detectors can improve cosmological constraints by inferring the formation channel of extreme-mass-ratio inspirals, enabling precise measurements of Hubble's constant and dark energy parameters.
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Abstract: Abstract Extreme-mass-ratio inspirals (EMRIs) could be detected by space-borne gravitational-wave (GW) detectors, such as the Laser Interferometer Space Antenna (LISA), TianQin, and Taiji. Localizing EMRIs by GW detectors can help us select candidate host galaxies, which can be used to infer the cosmic expansion history. In this paper, we demonstrate that the localization information can also be used to infer the formation channel of EMRIs, and can hence allow us to extract more precisely the redshift probability distributions. By conducting mock observations of the EMRIs that can be detected by TianQin and LISA, as well as the galaxies that can be provided by the future Chinese Space Station Telescope, we find that TianQin can constrain the Hubble–Lemaître constant H 0 to a precision of ∼3%–8% and the dark energy equation-of-state parameter w 0 to ∼10%–40%. The TianQin+LISA network, by increasing the localization accuracy, can improve the precisions of H 0 and w 0 to ∼0.4%–7% and ∼4%–20%, respectively. Then, considering an illustrative case in which all EMRIs originate in active galactic nuclei (AGNs), and combining the mock EMRI observation with a mock AGN catalog, we show that TianQin can recognize the EMRI–AGN correlation with ∼1300 detections. The TianQin+LISA network can reduce this required number to ∼30. Additionally, we propose a statistical method to directly estimate the fraction of EMRIs produced in AGNs, f agn , and show that observationally deriving this value could significantly improve the constraints on the cosmological parameters. These results demonstrate the potentials of using EMRIs as well as galaxy and AGN surveys to improve the constraints on cosmological parameters and the formation channel of EMRIs.
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Citations
Search for Extreme Mass Ratio Inspirals Using Particle Swarm Optimization and Reduced Dimensionality Likelihoods
TL;DR: Search for extreme mass ratio inspirals using particle swarm optimization and reduced dimensionality likelihoods. The reduced dimensionality likelihoods enable successful searches for signals with a duration of 0.5 years and signal-to-noise ratio of 50 within a wider search range than previous studies.
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Gravitational Wave Astrophysics with TianQin: A Brief Progress Review
Yi-Ming Hu,Yi-Ming Hu +1 more
- 01 Jan 2025
Constrain the Hubble Constant from Extreme Mass Ratio Inspirals Dark Sirens Using Galaxy Clusters
Jian-dong LIU,Wen-Biao Han,Qian-Yun Yun +2 more
Abstract: Abstract Extreme mass ratio inspirals (EMRIs) are key observational targets for future space-based gravitational wave detectors and hold significant value in cosmological research. As a type of “standard siren,” EMRIs offer an independent method to measure the Hubble constant, providing new hope for resolving the “Hubble tension” problem. However, when using the dark siren method combined with galaxy catalogs to statistically infer redshifts, EMRI events occurring in low-luminosity galaxies may not be fully recorded in the galaxy catalogs, leading to potential true hosts being missed. To address this, we propose using galaxy cluster catalogs, which contain numerous member galaxies, including faint ones, effectively reducing the risk of missing true hosts. In this study, we randomly injected three EMRI events and simulated a 2 yr observation of these events using both Laser Interferometric Space Antenna (LISA) and the joint LISA–Taiji network to demonstrate the improvements brought about by incorporating galaxy cluster catalogs into the dark siren methodology. For these three cases, compared to using galaxy catalogs alone, incorporating galaxy cluster catalogs enhanced the measurement precision of the Hubble constant to varying degrees, with a maximum improvement of approximately 41.00%. These results indicate that employing galaxy cluster catalogs in EMRI-based dark siren analyses can more effectively constrain the Hubble constant H 0 .
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