activity
20082024
most citedThe Dark Energy Survey Data Release 2

319 citations · 534 across the 11 of their papers we have counts for

collaborators

11 papers

astro-ph.CO2024

A distance measurement of galaxies from JWST using star formation rate-stellar mass relation

L. Huang, P. Zong, Z. X. Chang +2

We use the star formation rate-stellar mass relation () of galaxies to measure their luminosity distances as well as estimate cosmological parameters. We compile a s…

astro-ph.HE2024★ 34 cited

Broadband Multi-wavelength Properties of M87 during the 2018 EHT Campaign including a Very High Energy Flaring Episode

J. C. Algaba, M. Balokovic, S. Chandra +738

The nearby elliptical galaxy M87 contains one of the only two supermassive black holes whose emission surrounding the event horizon has been imaged by the Event Horizon Telescope (…

astro-ph.HE2024★ 26 cited

Ordered magnetic fields around the 3C 84 central black hole

G. F. Paraschos, J. -Y. Kim, M. Wielgus +279

3C84 is a nearby radio source with a complex total intensity structure, showing linear polarisation and spectral patterns. A detailed investigation of the central engine region nec…

astro-ph.CO2023

Cosmological constraints from Type I radio-loud quasars

L. Huang, Z. Y. Tu, N. Chang +3

We obtain a new sample of 1192 Type I quasars with the UV-optical, radio and X-ray wavebands coverage by combining \citet{Huang2022} and other matching data of SDSS-DR16 with FIRST…

astro-ph.CO2022★ 4 cited

A measure of cosmological distance using the \civ\ Baldwin effect in quasars

L. Huang, H. Wang, Z. F. Gao +2

We use the anticorrelation between the equivalent width (EW) of the C\,\textsc{iv} 1549 Å emission line and the continuum luminosity in the quasars rest frame (Baldwin effect) to m…

astro-ph.CO2022★ 3 cited

A cosmological distance measure using radio-loud quasars

L. Huang, Z. X. Chang

We use the X-ray luminosity relation of radio-loud quasars (RLQs) to measure these luminosity distances as well as estimate cosmological parameters. We adopt four parametric models…