The Iron Project: R-matrix collision strengths and line emissivity ratios for Fe-peak elements - Mn III
POSTER
Abstract
The Iron Project is focused on R-matrix close coupling calculations for
Fe-peak elements for astrophysical and laboratory applications.
An outstanding feature of these high-accuracy computations is the
extensive autoionizing resonance structures that manifest themselves in
atomic processes. For electron impact excitation resonances in collision
strengths result in considerable enhancement of Maxwellian averaged
collision strengths or rate coefficients specific at temperatures.
Manganese is an important element in cosmological evolution of the
universe as it is produced in supernovae Type Ia together with Fe in
binary explosions of white dwarfs which form from low mass stars over
long timescales of Gyrs. However, Fe is also produced in massive star core collapse Type II
supernovae that happen on much shorter timescales of Myrs. Therefore, the
abundance ratio Mn/Fe is a chronometer of galaxy evolution, nucleosynthesis
and star formation. In this work relativistic Breit-Pauli R-matrix calculations have been
carried out for electron impact excitation (EIE) of doubly ionized Manganese
that has not been previously studied.
The coupled channel calculations include a wavefunction that includes 38
excited levels of Mn III dominated by electronic configurations 3d5 and
3d44s, and 33 bound channel configurations of Mn II for additional correlation.
EIE collision strength for forbidden transitions among those levels are studied. Their emissivity
EIE collision strength for forbidden transitions among those levels are studied. Their emissivity
line ratios are computed using computed collision strengths and radiative
decay A-values. Based on this work, certain lines of Mn III are predicted to be useful
temperature-density diagnostics, as well as determinant of cosmic Mn abundance.
*This work was supported in part by a grant from the Astronomy Division of the U.S. National Science Foundation. The computational work was carried out at the Ohio Supercomputer Center and computational cluster Unity in the College of Arts and Sciences at the Ohio State University.
Presenters
-
Anil Kumar Pradhan
- Ohio State University