53 citations · 301 across the 19 of their papers we have counts for
21 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…
Identification and Study of Irregular Radio Sources with SKA Continuum Surveys
Tapan K. Sasmal, Xuelei Chen, Baoqiang Lao +5
Radio galaxies show a wide range of morphologies, from regular double-lobed systems to more complex and distorted radio structures. In this chapter, we focus on irregular radio mor…
A Machine Learning made Catalog of FR-II Radio Galaxies from the FIRST Survey
Bao-Qiang Lao, Xiao-Long Yang, Sumit Jaiswal +4
We present an independent catalog (FRIIRGcat) of 45,241 Fanaroff-Riley Type II (FR-II) radio galaxies compiled from the Very Large Array Faint Images of the Radio Sky at Twenty-cen…
Radio Variable and Transient Sources on Minute Timescales in the ASKAP Pilot Surveys
Yuanming Wang, Tara Murphy, Emil Lenc +12
We present results from a radio survey for variable and transient sources on 15-min timescales, using the Australian SKA Pathfinder (ASKAP) pilot surveys. The pilot surveys consist…
Radio Sources Segmentation and Classification with Deep Learning
Baoqiang Lao, Sumit Jaiswal, Zhen Zhao +4
Modern large radio continuum surveys have high sensitivity and resolution, and can resolve previously undetected extended and diffuse emissions, which brings great challenges for t…
SKA Science Data Challenge 2: analysis and results
P. Hartley, A. Bonaldi, R. Braun +105
The Square Kilometre Array Observatory (SKAO) will explore the radio sky to new depths in order to conduct transformational science. SKAO data products made available to astronomer…