A Machine Learning made Catalog of FR-II Radio Galaxies from the FIRST Survey

Autor: Lao, Bao-Qiang, Yang, Xiao-Long, Jaiswal, Sumit, Mohan, Prashanth, Sun, Xiao-Hui, Qin, Sheng-Li, Zhao, Ru-Shuang
Rok vydání: 2024
Předmět:
Zdroj: 2024, Research in Astronomy and Astrophysics Volume 24, Pages 035021
Druh dokumentu: Working Paper
DOI: 10.1088/1674-4527/ad204f
Popis: 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-centimeters (FIRST) survey and employed the deep learning method. Among them, optical and/or infrared counterparts are identified for 41,425 FR-IIs. This catalog spans luminosities $2.63\times10^{22}\leq L_{\rm rad}\leq6.76\times10^{29}\,{\rm W}\,{\rm Hz}^{-1}$ and redshifts up to $z=5.01$. The spectroscopic classification indicates that there are 1431 low-excitation radio galaxies and 260 high-excitation radio galaxies. Among the spectroscopically identified sources, black hole masses are estimated for 4837 FR-IIs, which are in $10^{7.5}\lesssim M_{\rm BH}\lesssim 10^{9.5}$ $M_{\odot}$. Interestingly, this catalog reveals a couple of giant radio galaxies (GRGs), which are already in the existing GRG catalog, confirming the efficiency of this FR-II catalog. Furthermore, 284 new GRGs are unveiled in this new FR-II sample; they have the largest projected sizes ranging from 701 to 1209 kpc and are located at redshifts $0.31Comment: 24 pages, 17 figures, Accepted by Research in Astronomy and Astrophysics
Databáze: arXiv