2018MNRAS.477..578C


Query : 2018MNRAS.477..578C

2018MNRAS.477..578C - Mon. Not. R. Astron. Soc., 477, 578-592 (2018/June-2)

High-resolution observations of low-luminosity gigahertz-peaked spectrum and compact steep-spectrum sources.

COLLIER J.D., TINGAY S.J., CALLINGHAM J.R., NORRIS R.P., FILIPOVIC M.D., GALVIN T.J., HUYNH M.T., INTEMA H.T., MARVIL J., O'BRIEN A.N., ROPER Q., SIROTHIA S., TOTHILL N.F.H., BELL M.E., FOR B.-Q., GAENSLER B.M., HANCOCK P.J., HINDSON L., HURLEY-WALKER N., JOHNSTON-HOLLITT M., KAPINSKA A.D., LENC E., MORGAN J., PROCOPIO P., STAVELEY-SMITH L., WAYTH R.B., WU C., ZHENG Q., HEYWOOD I. and POPPING A.

Abstract (from CDS):

We present very long baseline interferometry observations of a faint and low-luminosity (L_1.4 GHz_ < 1027 W Hz–1) gigahertz-peaked spectrum (GPS) and compact steep-spectrum (CSS) sample. We select eight sources from deep radio observations that have radio spectra characteristic of a GPS or CSS source and an angular size of θ <= 2 arcsec, and detect six of them with the Australian Long Baseline Array. We determine their linear sizes, and model their radio spectra using synchrotron self-absorption (SSA) and free-free absorption (FFA) models. We derive statistical model ages, based on a fitted scaling relation, and spectral ages, based on the radio spectrum, which are generally consistent with the hypothesis that GPS and CSS sources are young and evolving. We resolve the morphology of one CSS source with a radio luminosity of 1025 \hboxW Hz–1, and find what appear to be two hotspots spanning 1.7 kpc. We find that our sources follow the turnover-linear size relation, and that both homogeneous SSA and an inhomogeneous FFA model can account for the spectra with observable turnovers. All but one of the FFA models do not require a spectral break to account for the radio spectrum, while all but one of the alternative SSA and power-law models do require a spectral break to account for the radio spectrum. We conclude that our low-luminosity sample is similar to brighter samples in terms of their spectral shape, turnover frequencies, linear sizes, and ages, but cannot test for a difference in morphology.

Abstract Copyright: © 2018 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society

Journal keyword(s): methods: data analysis - techniques: image processing - galaxies: active - galaxies: evolution - galaxies: jets - radio continuum: galaxies

Simbad objects: 11

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Number of rows : 11
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026
#notes
1 ATELAIS J003312.20-441951.3 Rad 00 33 12.17 -44 19 51.4           ~ 5 1
2 ELAIS S1 reg 00 34 44 -43 28.2           ~ 254 0
3 ATELAIS J003508.37-430004.2 Rad 00 35 08.39 -43 00 03.7       22.07   ~ 5 1
4 ATELAIS J003745.27-432554.1 Rad 00 37 45.26 -43 25 54.6           ~ 5 1
5 ATELAIS J003807.94-435855.3 rG 00 38 07.95 -43 58 55.4   21.53   18.55   ~ 6 1
6 ATELAIS J003907.93-433205.8 Rad 00 39 08.0 -43 32 02           ~ 10 1
7 2MASS J03300936-2818509 rG 03 30 09.360 -28 18 50.97   20.17   18.27   ~ 3 0
8 NAME Chandra Deep Field-South reg 03 32 28.0 -27 48 30           ~ 2282 1
9 NAME Extended Chandra Deep Field South reg 03 32 30.0 -27 48 20           ~ 862 0
10 ATCDFS9 J033310.19-274842.2 QSO 03 33 10.21 -27 48 42.2 24.27 23.866 23.14 22.97 22.00 ~ 47 0
11 NVSS J033553-272740 rG 03 35 53.3382710784 -27 27 40.326333156   18.67   17.59   ~ 4 1

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