4 citations · 6 across the 4 of their papers we have counts for
5 papers · 1 filter
Learning JWST. I. A Foundation Model for New Population Discoveries and Morphology-Aware Photometric Redshift Measurements in the JADES Survey
Jiani Ding, Minghao Yue, Yongda Zhu +2
We present FM-JADES-v1, a self-supervised foundation model for James Webb Space Telescope ({\em JWST}) deep-field science, trained with 482,444 objects from the {\em JWST} Advanced…
Early metal-enriched baryon cycling before the midpoint of cosmic reionization
Yongda Zhu, Zhiyuan Ji, George D. Becker +13
Models predict that chemical enrichment and gas redistribution should begin rapidly once star formation starts, but direct constraints at the earliest epochs have been scarce. Here…
Deep Learning of DESI Mock Spectra to Find Damped Lyα Systems
Ben Wang, Jiaqi Zou, Zheng Cai +14
We have updated and applied a convolutional neural network (CNN) machine learning model to discover and characterize damped Ly systems (DLAs) based on Dark Energy Spectroscopic…
Deep Hubble Space Telescope Imaging on the Extended Ly Emission of a QSO at with Damped Lyman Alpha System as a Natural Coronagraph
Jiani Ding, Zheng Cai, J. Xavier Prochaska +5
Recent observations suggest that proximate damped Ly (PDLA) systems can be used to study the host galaxies of Quasi-stellar objects (QSOs), because the PDLAs can block the brigh…
Initial results from a systematic search for changing-look active galactic nuclei selected via mid-infrared variability
Zhenfeng Sheng, Tinggui Wang, Ning Jiang +6
Changing look active-galatic-nuclei (CL AGNs) can yield considerable insight into accretion physics as well as the co-evolution of black holes and their host galaxies. A large samp…