collaborators

13 papers

astro-ph.CO2026

Deep Learning Calibration of the Quasar X-ray/UV Luminosity Relation for Cosmological Applications

Jiaze Gao, Yun Chen, Lixin Xu +2

Quasars can serve as standard candles through an empirical scaling relation between their ultraviolet (UV) and X-ray luminosities. As high-redshift probes, it is critical to test w…

astro-ph.GA2026

Detection of a dark matter subhalo in the strongly lensed system PJ011646

Aristeidis Amvrosiadis, James W. Nightingale, Qiuhan He +12

We present a strong lensing analysis of the system PJ011646 using high-resolution (0.1 arcsec) Atacama Large Millimeter/submillimeter Array (ALMA) dust-continuum observations…

astro-ph.GA2026

Discovery of a radio jet in the Cloverleaf Quasar at z = 2.56

Lei Zhang, Zhi-Yu Zhang, James. W. Nightingale +10

The fast growth of supermassive black holes and their feedback to the host galaxies play an important role in regulating the evolution of galaxies, especially in the early Universe…

astro-ph.GA2026

Measuring the Stellar-to-Halo Mass Relation at Solar masses, using forthcoming space-based imaging of galaxy-galaxy strong lenses

Kaihao Wang, Xiaoyue Cao, Ran Li +11

The stellar-to-halo mass relation (SHMR) is central to understanding the co-evolution of galaxies and their host dark matter haloes, yet it remains weakly constrained for dwarf gal…

astro-ph.CO2026

Probing Dark Matter Substructures with Free-Form Modelling: A Case Study of the `Jackpot' Strong Lens

Xiaoyue Cao, Ran Li, James W. Nightingale +12

Characterising the population and internal structure of sub-galactic halos is critical for constraining the nature of dark matter. These halos can be detected near galaxies that ac…

astro-ph.CO2026

CSST Strong Lensing Preparation: Cosmological constraints from double-source-plane strong lensing systems in era of CSST

Bei-Chen Wu, Xiaoyue Cao, Nan Li +5

Double source plane strong lensing (DSPL) systems offer a robust, independent probe of cosmological parameters. The Chinese Space Station Telescope (CSST) is expected to discover h…