Low-redshift quasar absorption-line systems: inside and around galaxies

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We present semi-analytic models and monte-carlo simulations of QSO Lyα absorption line systems which originate in gaseous galactic halos, galaxy disks, and satellite halos around central galaxies. The relation between the properties of predicted absorption lines and those of galaxies has been investigated. Using a model with galactic halos, satellites, and hi disks of spirals, 60 % of the observed strong Lyα lines and all of the Lyman-limit systems can be predicted. The models predict wr ∝ ρ-α lbβ (1+z)-γ with α ˜ 0.5, β ˜ 0.15, γ ˜ 0.5. For strong Lyα lines the average covering factor within 250 h-1 kpc is ˜ 0.36, with an average absorption radius of ˜ 150 h-1 kpc for a galaxy halo, in good agreement with observations. Using mock imaging and spectroscopic surveys, selection effects are found to be able to strengthen the anti-correlation between line width and projected distance. The models were also applied to quasar metal absorption lines and more realistic absorption spectra with noise were simulated.

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

Low-redshift quasar absorption-line systems: inside and around 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 Low-redshift quasar absorption-line systems: inside and around galaxies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Low-redshift quasar absorption-line systems: inside and around galaxies will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1566793

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