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20202026
most citedWet Extreme Mass Ratio Inspirals May Be More Common For Spaceborne Gravitational Wave Detection

97 citations · 363 across the 14 of their papers we have counts for

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Showing astro-ph.HEShow all

6 papers · 1 filter

astro-ph.HE2025★ 6 cited

Prospects for Time-Domain and Multi-Messenger Science with eXTP

Shu-Xu Yi, Wen Zhao, Ren-Xin Xu +75

In this new era of time-domain and multi-messenger astronomy, various new transients and new phenomena are constantly being discovered thanks to the rapid advances in observations,…

astro-ph.HE2025★ 10 cited

Science Opportunities of Wet Extreme Mass-Ratio Inspirals

Zhenwei Lyu, Zhen Pan, Junjie Mao +2

Wet extreme mass-ratio inspirals (wet EMRIs), which arise from stellar-mass black holes inspiral into supermassive black holes (SMBHs) within the gas-rich environments of Active Ga…

astro-ph.HE2022★ 9 cited

Tick-Tock: The Imminent Merger of a Supermassive Black Hole Binary

Ning Jiang, Huan Yang, Tinggui Wang +9

Supermassive black hole binaries (SMBHs) are a fascinating byproduct of galaxy mergers in the hierarchical universe. In the last stage of their orbital evolution, gravitational wav…

astro-ph.HE2021★ 29 cited

Mass-gap extreme mass ratio inspirals

Zhen Pan, Zhenwei Lyu, Huan Yang

In this work, we propose a new subclass of extreme-mass-ratio-inspirals (EMRIs): mass-gap EMRIs, consisting of a compact object in the lower mass gap and a m…

astro-ph.HE2021★ 97 cited

Wet Extreme Mass Ratio Inspirals May Be More Common For Spaceborne Gravitational Wave Detection

Zhen Pan, Zhenwei Lyu, Huan Yang

Extreme Mass Ratio Inspirals (EMRIs) can be classified as dry EMRIs and wet EMRIs based on their formation mechanisms. Dry (or the "loss-cone") EMRIs, previously considered as the…

astro-ph.HE2020★ 31 cited

Probing Crust Meltdown in Inspiraling Binary Neutron Stars

Zhen Pan, Zhenwei Lyu, Béatrice Bonga +2

Thanks to recent measurements of tidal deformability and radius, the nuclear equation of state and structure of neutron stars are now better understood. Here, we show that through…