Identifying High Frequency Peakers using the Korean VLBI Network

Y. Jeong, B. W. Sohn, A. Chung, S. Park, P. Park

Research output: Contribution to journalArticle

Abstract

High Frequency Peakers (HFPs) are known to be promising targets to study the AGN properties at their very early evolutionary stage. To date, HFP classification has been usually relied on the spectral shape with the relatively sparse or short time range monitoring. However, HFP samples are often contaminated by blazars which are compact and highly variable, and hence may behave in similar ways to HFPs. In this work, we challenge to identify genuine young AGNs by long-term monitoring of HFP candidates at high radio frequencies. We performed single-dish monitoring of 19 candidates in 18 epochs over 2.5 years at 22 and 43 GHz simultaneously, using the Korean VLBI Network (KVN). Also, using the KVN and VERA array (KaVA), we carried out 22 and 43 GHz VLBI observations of seven candidates from our sample, and investigated their parsec-scale (milli-arcsecond scale) morphology. We discuss the results of the source classification from our long-term single dish monitoring observation and the preliminary results of follow-up VLBI observation.

Original languageEnglish
Pages (from-to)130-134
Number of pages5
JournalAstronomische Nachrichten
Volume337
Issue number1-2
DOIs
Publication statusPublished - 2016 Feb 1

Fingerprint

very long base interferometry
very long baseline interferometry
monitoring
parabolic reflectors
blazars
radio
radio frequencies
time measurement

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Cite this

Jeong, Y. ; Sohn, B. W. ; Chung, A. ; Park, S. ; Park, P. / Identifying High Frequency Peakers using the Korean VLBI Network. In: Astronomische Nachrichten. 2016 ; Vol. 337, No. 1-2. pp. 130-134.
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Identifying High Frequency Peakers using the Korean VLBI Network. / Jeong, Y.; Sohn, B. W.; Chung, A.; Park, S.; Park, P.

In: Astronomische Nachrichten, Vol. 337, No. 1-2, 01.02.2016, p. 130-134.

Research output: Contribution to journalArticle

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