An information-theoretical methodology for profile parameter estimation of solar coronal spectra

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

2

Sun: Corona, Sun: Uv Radiation

Scientific paper

Aims.An attempt is made to establish an information-theoretical methodology for profile parameter estimation of the spectral lines of the solar corona. Methods: .In this formalism, "description lengths" of a target line profile are defined for every possible profile model and are used to identify the optimal one among possible models. To properly reflect statistical properties of count numbers representing spectral profiles, a so-called α scale is introduced and incorporated into the definition of description lengths. Formulae of error propagation from measured count numbers to derived profile parameters are also given. Results: .The advantage of this methodology, which enables mutually consistent treatment of profiles of diverse properties in particular, has been used to examine how the change in spectroscopic characteristics is associated with the coronal structure.

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

An information-theoretical methodology for profile parameter estimation of solar coronal spectra 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 An information-theoretical methodology for profile parameter estimation of solar coronal spectra, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An information-theoretical methodology for profile parameter estimation of solar coronal spectra will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-991730

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