The asymmetry of resonance line scattering in a velocity gradient

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

7

Hot Stars, Photon Beams, Resonance Scattering, Stellar Spectra, Stellar Winds, Backscattering, Line Spectra, Monte Carlo Method, Optical Thickness

Scientific paper

A strong-line limit was sought for the Caroff et al. (1972) effect, i.e., that atomically coherent resonance scattering is responsible for backscattering in monotonic velocity fields of line-driven winds of hot stars. The limit was essential to establishing the worth of extended black absorption troughs as a diagnostic for multiply monotonic flows. The incidence of photons on a plane parallel, differentially expanding stellar atmosphere was studied. The resulting radiation field was probed with Monte Carlo simulations of the escaping photons. The Caroff strong-line limit was found not to be completely backscattering due to decay at large optical thicknesses. Photons can escape after only one scatter event. The presence of black absorption troughs in circumstellar spectra is therefore not attributable to monotonic flow. Further investigations of nonmonotonic flows are recommended.

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

The asymmetry of resonance line scattering in a velocity gradient 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 The asymmetry of resonance line scattering in a velocity gradient, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The asymmetry of resonance line scattering in a velocity gradient will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1750620

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