Infrared and Radio Features of Galaxies with UV-Excess

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Statistical research of galaxies with UV-excess has been carried out. Sample of 702 Kazarian's galaxies (KG) is used. More than 36 % KG have been identified with infra-red sources at wavelengths 12, 25, 60 and 100 microns. The calculation of FIR luminosities has shown that 4 % of KG is luminous IR galaxies with LFIR 10^11Lsun. More than 32 % KG have been identified with radio sources at frequency 1.4 GHz. Definition of radio luminosities has shown, that in the KG sample there is a radio-loud (LR; 10^25 W•Hz-1) BL Lac type object Kaz 273 with known radial velocity. Tight correlation (r = 0.93) between FIR and radio luminosities for galaxies with UV- excess is received. The investigation of connection FIR and radio luminosities for galaxies of different spectral classes has shown that the coefficient of correlation is higher (r = 0.99), and the inclination of dependence is steeper (a = 1.18) for Seyfert type galaxies. From calculations of logarithm of the ratio FIR and radio flux densities it is established, that in the sample there are 4 KG with radio excess, while galaxies with IR-excess are absent.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Infrared and Radio Features of Galaxies with UV-Excess does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Infrared and Radio Features of Galaxies with UV-Excess, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Infrared and Radio Features of Galaxies with UV-Excess will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1812906

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.