7 citations · 7 across the 5 of their papers we have counts for
5 papers
Images of Braneworld black holes with radiatively inefficient accretion flows
Chengjia Chen, Yin Hao, Zelin Zhang +2
Horizon-scale imaging acts as a transformative tool for probing spacetime geometry, enabling stringent tests of gravitational theories in the strong-field regime. The Casadio-Fabbr…
The Atacama Cosmology Telescope: Machine Learning Driven Tools for Detecting Millimeter Sources in Timestream Pre-processing
Simran K. Nerval, Erika Hornecker, Yilun Guan +14
We present a new pipeline utilizing machine learning for classifying short-duration features in raw time-ordered data (TOD) of cosmic microwave background survey observations. The…
BCDDM: Branch-Corrected Denoising Diffusion Model for Black Hole Image Generation
Ao liu, Zelin Zhang, Songbai Chen +2
The properties of black holes and accretion flows can be inferred by fitting Event Horizon Telescope (EHT) data to simulated images generated through general relativistic ray traci…
Images of Kerr-MOG black holes surrounded by geometrically thick magnetized equilibrium tori
Zelin Zhang, Songbai Chen, Jiliang Jing
We adopt general relativistic ray-tracing (GRRT) schemes to study images of Kerr-MOG black holes surrounded by geometrically thick magnetized equilibrium tori, which belong to stea…
Constraining a disformal Schwarzschild black hole in DHOST theories with the orbit of the S2 star
Zelin Zhang, Songbai Chen, Jiliang Jing
With the observed data of the S2 orbit around the black hole Sgr A and the Markov Chain Monte Carlo method, we make a constraint on parameters of a disformal Schwarzschild blac…