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20052022
most citedMachine-learning non-stationary noise out of gravitational wave detectors

132 citations · 181 across the 5 of their papers we have counts for

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gr-qc2022★ 7 cited

Impact of calibration uncertainties on Hubble constant measurements from gravitational-wave sources

Yiwen Huang, Hsin-Yu Chen, Carl-Johan Haster +3

Gravitational-wave (GW) detections of electromagnetically bright compact binary coalescences can provide an independent measurement of the Hubble constant . In order to obtain…

gr-qc2020

Statistical and systematic uncertainties in extracting the source properties of neutron star - black hole binaries with gravitational waves

Yiwen Huang, Carl-Johan Haster, Salvatore Vitale +3

Gravitational waves emitted by neutron star black hole mergers encode key properties of neutron stars - such as their size, maximum mass and spins - and black holes. However, the p…

gr-qc2020

Source properties of the lowest signal-to-noise-ratio binary black hole detections

Yiwen Huang, Carl-Johan Haster, Salvatore Vitale +6

We perform a detailed parameter estimation study of binary black hole merger events reported in Zackay et al. and Venumadhav et al.. These are some of the faintest signals reported…

gr-qc2019★ 132 cited

Machine-learning non-stationary noise out of gravitational wave detectors

Gabriele Vajente, Yiwen Huang, Maximiliano Isi +4

Signal extraction out of background noise is a common challenge in high precision physics experiments, where the measurement output is often a continuous data stream. To improve th…

gr-qc2018

Characterization of low-significance gravitational-wave compact binary sources

Yiwen Huang, Hannah Middleton, Ken K. -Y. Ng +2

Advanced LIGO and Virgo have so far detected gravitational waves from 10 binary black hole mergers (BBH) and 1 binary neutron star merger (BNS). In the future, we expect the detect…