From the 1 of 4 linked papers with an AI index.
4 papers
A Catalog of Giant Radio Source Candidates from TGSS ADR1 Using a Deep Learning--based Pipeline
Baoqiang Lao, Binghua Liang, Shaoguang Guo +4
We present a catalog of 5,595 giant radio source (GRS) candidates, defined by a largest (projected) linear size (LLS) exceeding 0.7 Mpc. Of these, 4,566 would be new discoveries if…
Astrophysical Population Coordinates for Supermassive Black Hole Binaries in Pulsar Timing Array Inference
Yikun Li, Muhammad Ahmad, Shaoguang Guo +1
The paper develops a phenomenological forward model for the population of supermassive black‑hole binaries as observed by pulsar timing arrays, defining three population coordinate…
High-redshift quasars at -- III. Parsec-scale jet properties from VLBI observations
Shaoguang Guo, Tao An, Yuanqi Liu +5
High redshift active galactic nuclei (AGN) provide key insights into early supermassive black hole growth and cosmic evolution. This study investigates the parsec-scale properties…
Development and Performance Validation of a Versatile VLBI Digital Backend Using the ROACH2 Platform
Jiyun Li, Renjie Zhu, Shaoguang Guo +2
Customized digital backends for Very Long Baseline Interferometry (VLBI) are critical components for radio astronomy observatories. There are several serialized products such as th…