Infrared Imaging of SDSS Quasars: Implications For The Quasar K-correction

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We report near-infrared KPNO 2.1m SQIID photometry of 45 Sloan Digital Sky Survey (SDSS) quasars ranging in redshifts from z = 1.867 to 4.250. Combining our JHKs photometry with reported optical magnitudes, we model the spectral energy distribution as a power law of the form fν proportional to να and compute the spectral index, α, for each quasar. We find an average spectral index of <α> = -0.55, close to the traditionally adopted value of -0.5, but also find a large spread in values from α = 0.17 to -1.77. We also see some evidence for evolution with redshift of the form α = 0.15 z - 0.96. Applying this evolution to quasar luminosity functions, such as those of Richards et al. (2006, AJ, 131, 2766) which utilizes the SDSS 3DR quasar catalog, we find that the drop in space densities from the peak at z ≈ 2.5 to higher redshifts is less pronounced compared to using an average spectral index α = -0.5 when computing quasar K-corrections. This project was funded by an NSF ADVANCE Fellowship.

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 Imaging of SDSS Quasars: Implications For The Quasar K-correction 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 Imaging of SDSS Quasars: Implications For The Quasar K-correction, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Infrared Imaging of SDSS Quasars: Implications For The Quasar K-correction will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1034327

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