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Zhuotao Li

Publications and source records attributed to Zhuotao Li.

3 recordsLinked to original sources

The impact of strong lensing on Hubble constant measurements with gravitational-wave dark sirens

The disagreement between early and late Universe electromagnetic measurements of the Hubble constant, $H_0$, known as the Hubble tension, highlights the need for independent and complementary probes. Gravitational-wave events have recently emerged as such a probe for constraining cosmological parameters. $H_{0}$ inference using these events relies on sky localization and luminosity distance estimates, both of which can be significantly improved for strongly lensed events with appropriate lens modeling. In this context, we propose utilizing strong lensing of dark sirens, gravitational-wave events without identified electromagnetic counterparts, in combination with strong lensing of galaxies as a novel method for measuring $H_0$. The constant is inferred from the luminosity distances of these lensed dark sirens and the redshifts of their host galaxies, combining information from individual events to obtain statistically stronger constraints when multiple events are available. We adopt a simulated galaxy catalog, \texttt{MICECATv2}, as the basis for simulating strong lensing of galaxies and to provide the redshift information of host galaxy candidates required to infer $H_0$. We also examine the impact of galaxy catalog incompleteness on the resulting $H_0$ inference. Our results demonstrate that using only 8 strongly lensed dark sirens, analyzed with a dedicated galaxy-galaxy lensing catalog, can improve the precision of $H_{0}$ by roughly 50\% compared to 250 unlensed events.

astro-ph.CO

Using gravitational wave dark sirens to choose between host galaxy weighting models

Binary black hole (BBH) mergers,, an important source of gravitational-waves(GWs), are assumed to be hosted in galaxies. The probability of a galaxy to host a BBH is related to its properties, for example stellar mass and star formation rate. These properties can be estimated from observables, such as the luminosity in certain observation bands. We refer to this description of host galaxy properties as host galaxy weighting models. However, the host galaxy weighting model for BBHs has yet to be accurately determined. Population synthesis has provided a variety of host galaxy weighting models. Here we investigate whether it is possible to distinguish different host galaxy weighting models using a data driven approach. We use the GW cosmology tool gwcosmo with a simulated IGO-Virgo-KAGRA (LVK) fifth observing run (O5)-like observing scenario. We also construct a mock spectroscopic galaxy catalogue from MICECATv2. Our analysis compares the Bayes factors among three simple luminosity weighting models, r-band, g-band, and uniform weighting. The Bayes factors among different host galaxy weighting models show a minor preference for the true model for a ~200-detection case, and a decisive preference for the true model over the uniform model for a ~1000-detection case, which is strongly driven by a small number of well-localised events.

astro-ph.CO

Reconstruction of Supernova Gravitational Waves Waveforms: Comparing Three Time-frequency Transform Methods

For supernovae gravitational wave signal analysis which intend to reconstruct supernova gravitational waves waveforms, we compare the performance of short-time Fourier transform (STFT), the synchroextracting transform (SET) and multisynchrosqueezing transform (MSST) by a self-consistent time-frequency analysis based pipeline. The simulated supernovae waveforms injected into white noise are identified by a hierarchical clustering method in the time-frequency map and then reconstructed by the inverse time-frequency transforms. We find that in terms of signal reconstruction, the SET method performed the best, especially much better than traditional STFT method in reconstructing signals from data with white noise when valued the signal-to-noise ratio. While concerning the quality of time-frequency figures, the MSST method and SET method have less energy dispersion and were both better than STFT method. The higher energy dispersion in time-frequency figure of STFT is time consuming in the clustering process and reduce the accuracy of signal identification. Our preliminary conclusion is that the SET method is the suitable method for the supernovae gravitational wave signal analysis pipeline though more tests are stilled needed.

astro-ph.HE