Gamma-ray variability of radio-loud narrow-line Seyfert 1 galaxies

Astronomy and Astrophysics – Astrophysics – High Energy Astrophysical Phenomena

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7 pages, 2 figures. Accepted for publication on MNRAS

Scientific paper

The recent detection of gamma-ray emission from four radio-loud narrow-line Seyfert 1 galaxies suggests that the engine driving the AGN activity of these objects share some similarities with that of blazars, namely the presence of a gamma-ray emitting, variable, jet of plasma closely aligned to the line of sight. In this work we analyze the gamma-ray light curves of the four radio-loud narrow-line Seyfert 1 galaxies for which high-energy gamma-ray emission has been discovered by Fermi/LAT, in order to study their variability. We find significant flux variability in all the sources. This allows us to exclude a starburst origin of the gamma-ray photons and confirms the presence of a relativistic jet. Furthermore we estimate the minimum e-folding variability timescale (3 - 30 days) and infer an upper limit for the size of the emitting region (0.2 - 2 pc, assuming a relativistic Doppler factor delta=10 and a jet aperture of theta=0.1 rad).

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

Gamma-ray variability of radio-loud narrow-line Seyfert 1 galaxies 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 Gamma-ray variability of radio-loud narrow-line Seyfert 1 galaxies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Gamma-ray variability of radio-loud narrow-line Seyfert 1 galaxies will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-399966

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