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Galaxies 2018, 6(3), 90; https://doi.org/10.3390/galaxies6030090

Benchmarking Current Capabilities for the Generation of Excitation and Photoionisation Atomic Data

1
Centre for Theoretical Atomic, Molecular and Optical Physics, School of Mathematics and Physics, Queen’s University Belfast, Belfast BT7 1NN, UK
2
Astrophysics Research Centre, School of Mathematics and Physics, Queen’s University Belfast, Belfast BT7 1NN, UK
*
Author to whom correspondence should be addressed.
Received: 25 June 2018 / Revised: 23 July 2018 / Accepted: 20 August 2018 / Published: 21 August 2018
(This article belongs to the Special Issue Atomic and Molecular Data Needs for Astronomy and Astrophysics)
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Abstract

The spectra currently emerging from modern ground- and space-based astronomical instruments are of exceptionally high quality and resolution. To meaningfully analyse these spectra, researchers utilise complex modelling codes to replicate the observations. The main inputs to these codes are atomic data such as excitation and photoionisation cross sections, as well as radiative transition probabilities, energy levels, and line strengths. In this publication, the current capabilities of the numerical methods and computer packages used in the generation of these data are discussed. Particular emphasis is given to Fe-peak species and the heavy systems of tungsten and molybdenum. Some of the results presented to highlight certain issues and/or advances have already been published in the literature, while other sections present new recently evaluated atomic data for the first time. View Full-Text
Keywords: R-matrix; atomic data; atomic processes; collisions; Fe-peak elements; electron-impact excitation; photoionization R-matrix; atomic data; atomic processes; collisions; Fe-peak elements; electron-impact excitation; photoionization
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Ramsbottom, C.; Ballance, C.; Smyth, R.; Conroy, A.; Fernández-Menchero, L.; Turkington, M.; Keenan, F. Benchmarking Current Capabilities for the Generation of Excitation and Photoionisation Atomic Data. Galaxies 2018, 6, 90.

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