Effective collision strengths for electron-impact excitation of Fe II
are presented for all sextet-to-quartet transitions among the 38
LS
states formed from the basis configurations 3d64s, 3d7 and 3d64p. A total of 112
individual transitions are considered at electron temperatures in the range
30–100 000 K, encompassing values of importance for applications in astrophysics
as well as laboratory plasmas. A limited comparison is made with earlier
theoretical work and large differences are found to occur at the temperatures
considered. In particular, it is found that the inclusion or omission of some
(N + 1)-bound
configurations in the Hamiltonian matrices describing the collision process can
have a huge effect on the resulting effective collision strengths, by up to a factor of
four in some cases.
TIMEDEL implements the time-delay method of determining resonance parameters from the characteristic Lorentzian form displayed by the largest eigenvalues of the time-delay matrix. TIMEDEL constructs the time-delay matrix from input K-matrices and analyses its eigenvalues. This new version implements multiresonance fitting and may be run serially or as a high performance parallel code with three levels of parallelism. TIMEDEL takes K-matrices from a scattering calculation, either read from a file or calculated on a dynamically adjusted grid, and calculates the time-delay matrix. This is then diagonalized, with the largest eigenvalue representing the longest time-delay experienced by the scattering particle. A resonance shows up as a characteristic Lorentzian form in the timedelay: the program searches the time-delay eigenvalues for maxima and traces resonances when they pass through different eigenvalues, separating overlapping resonances. It also performs the fitting of the calculated data to the Lorentzian form and outputs resonance positions and widths. Resonances are identified by peaks in the largest few eigenvalues of the time-delay matrix.
Reasons for the new version:2 TIMEDEL includes a new procedure for fitting multiple overlapping resonances. It has also been parallelized to allow studies of complex systems (atoms and molecules) and generation of bulk data.
Summary of revisions:TIMEDEL analyses the largest eigenvalues of the time-delay matrix and identifies those with resonance features which are then separated and fitted [6]. It has been modularized with calls to external libraries and user supplied routines abstracted for ease of modification. It has been parallelized, with a choice of a specific module allowing multi-level parallel structures or serial execution if preferred. It can run bulk simulations of 'similar but different' calculations (for example, varying fixed-nuclear geometries).
Restrictions:When 'target' energies are calculated or supplied, the energy of the incident particle (electron) is currently defined with respect to the lowest supplied target energy (the ground state), although an expert user or developer would be able to modify this.
Unusual features:TIMEDEL can be run from a user-supplied file for K-matrices or can be implemented to generate these as required.
Additional comments:TIMEDEL has been implemented as part of the UKRMol suite of codes [7].
Running time:The actual time spent in TIMEDEL is short: however adaptive grid run times are dominated by the job-dependent time taken to generate the K-matrices (in user supplied routines). The parallelization framework over related calculations, energy sub-ranges and K-matrix generation compensates for this.
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