Radiative transfer in cylindrical threads with incident radiation. II. 2D azimuth-dependent case

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

8

Methods: Numerical, Radiative Transfer, Line: Profiles, Line: Formation, Sun: Corona

Scientific paper

A method is proposed for the solution of NLTE radiative transfer equations in long cylinders with an external incident radiation that varies with direction. This method is designed principally for the modelling of elongated structures imbedded in the solar corona (loops, prominence threads). The radiative transfer problem under consideration is a 2D one, since the source functions and absorption coefficients vary with both distance to axis and azimuth. The method is based on the general principles of finite-differences and accelerated Λ-iteration. A Fourier series is used for interpolation in azimuth. The method is applied to a line emitted by a two-level atom with complete frequency redistribution. Convergence properties of the method and influence of the inclination angle on the source function are discussed.

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

Radiative transfer in cylindrical threads with incident radiation. II. 2D azimuth-dependent case 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 Radiative transfer in cylindrical threads with incident radiation. II. 2D azimuth-dependent case, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Radiative transfer in cylindrical threads with incident radiation. II. 2D azimuth-dependent case will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1683067

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