Publication Details

AFRICAN RESEARCH NEXUS

SHINING A SPOTLIGHT ON AFRICAN RESEARCH

earth and planetary sciences

CHILES VERDES: Radio Variability at an Unprecedented Depth and Cadence in the COSMOS Field

Astrophysical Journal, Volume 923, No. 1, Article 31, Year 2021

Although it is well established that some extragalactic radio sources are time-variable, the properties of this radio variability, and its connection with host galaxy properties, remain to be explored - particularly for faint sources. Here we present an analysis of radio variable sources from the CHILES Variable and Explosive Radio Dynamic Evolution Survey (CHILES VERDES) - a partner project of the 1.4 GHz COSMOS H i Large Extragalactic Survey. CHILES VERDES provides an unprecedented combination of survey depth, duration, and cadence, with 960 hr of 1-2 GHz continuum VLA data obtained over 209 epochs between 2013 and 2019 in a 0.44 deg2 section of the well-studied extragalactic deep field, COSMOS. We identified 18 moderate-variability sources (showing 10%-30% flux density variation) and 40 lower-variability sources (2%-10% flux density variation). They are mainly active galactic nuclei (AGNs) with radio luminosities in the range of 1022-1027 W Hz-1, based on cross-matching with COSMOS multiwavelength catalogs. The moderate-variability sources span redshifts z = 0.22-1.56, have mostly flat radio spectra (α > -0.5), and vary on timescales ranging from days to years. The lower-variability sources have similar properties, but generally have higher radio luminosities than the moderate-variability sources, extending to z = 2.8, and have steeper radio spectra (α < -0.5). No star-forming galaxy showed statistically significant variability in our analysis. The observed variability likely originates from scintillation on short (∼week) timescales, and Doppler-boosted intrinsic AGN variability on long (month-year) timescales.
Statistics
Citations: 10
Authors: 10
Affiliations: 7
Identifiers
Study Design
Cross Sectional Study
Case-Control Study
Study Approach
Quantitative