OVRO 40m blazar monitoring program: Understanding the relationship between 15 GHz radio variability properties and gamma-ray activity in blazars

2012
A large sample of known and likely gamma-ray blazarshas been monitored twice per week since late 2007 at 15 GHz with the Owens Valley Radio Observatory(OVRO) 40-meter Telescope. The sample contains about 1700 sources, including the initial sample of 1158 sources above declination -20 degrees from the Candidate Gamma-Ray BlazarSurvey (CGRaBS) plus all the blazarsassociated with Fermi-LAT detections as released in the Fermi AGN catalogs. Using statistical likelihood analyses, we compare the variability amplitude for various sub-populations within our sample. These include comparisons of gamma-ray-loud versus quiet objects, BL Lac objectsversus flat-spectrum radio quasars, and a study of the variability amplitude trend with redshift. To learn about the location of the gamma-rayemission region we study the significance of peaks in the radio/ gamma-raycross-correlation using Monte Carlo simulations. First results for 52 sources with data from both the high-confidence Fermi Large Area Telescope Bright AGN Sample and the first 2 years of our monitoring program are presented. We find that assuming a power spectral density with power law slope of -2 at 15 GHz and -1.5 at gamma-rayenergies, 7 of our objects show cross-correlations at the 3sigma level. We are now studying the physical significance of these correlations by further exploring the range of power law slopes that are consistent with the data. An extension of this to a larger sample and longer light curves is underway and preliminary results are presented. We also describe KuPol, the new digital Ku-bandreceiver being constructed for the 40-meter telescope. This new receiver will provide total intensity and linear polarization measurements over the 12-18 GHz band, with 16 MHz spectral resolution. The polarization data will provide important clues about the magnetic field configuration in the radio emission region.
    • Correction
    • Source
    • Cite
    • Save
    0
    References
    5
    Citations
    NaN
    KQI
    []
    Baidu
    map