Problems in the use of statistical average atom potentials for estimating average degree of ionization

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3

Dense Plasmas, High Temperature Plasmas, Ionization Potentials, Plasma Potentials, Statistical Mechanics, Atomic Energy Levels, Hydrogen Plasma, Temperature Dependence

Scientific paper

Consequences of a simple integral definition of electron charge bound to an ion are examined for Thomas-Fermi (TF) and Debye-Huckel-Thomas-Fermi (DHTF) average atom statistical potentials used to describe high temperature high density plasmas. A self-consistent scheme for calculating average degree of ionization within the DHTF approach is described. With the simple integral definition of bound charge the DHTF model, unlike the TF model, exhibits the anomalous behavior that degree of ionization can decrease as temperature increases. It is shown that this results from inclusion in the integration of electron charge density too extended and too near continuum energies to be physically considered as bound.

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

Problems in the use of statistical average atom potentials for estimating average degree of ionization 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 Problems in the use of statistical average atom potentials for estimating average degree of ionization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Problems in the use of statistical average atom potentials for estimating average degree of ionization will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1018458

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