Next Article in Journal
The Second Workshop on Lineshape Code Comparison: Isolated Lines
Next Article in Special Issue
Validation and Implementation of Uncertainty Estimates of Calculated Transition Rates
Previous Article in Journal / Special Issue
Assessing Uncertainties of Theoretical Atomic Transition Probabilities with Monte Carlo Random Trials
Article Menu

Export Article

Open AccessArticle
Atoms 2014, 2(2), 123-156; doi:10.3390/atoms2020123

AtomPy: An Open Atomic Data Curation Environment for Astrophysical Applications

Department of Physics, Western Michigan University, Kalamazoo, MI 49008, USA
Centro de Física, IVIC, PO Box 20632, Caracas 1020A, Venezuela
Department of Computer Science, Western Michigan University, Kalamazoo, MI 49008, USA
Department of Mechanical and Aeronautical Engineering, Western Michigan University, Kalamazoo,MI 49008, USA
Author to whom correspondence should be addressed.
Received: 6 January 2014 / Revised: 7 April 2014 / Accepted: 8 April 2014 / Published: 2 May 2014
View Full-Text   |   Download PDF [2768 KB, uploaded 2 May 2014]   |  


We present a cloud-computing environment, referred to as AtomPy, based on Google-Drive Sheets and Pandas (Python Data Analysis Library) DataFrames to promote community-driven curation of atomic data for astrophysical applications, a stage beyond database development. The atomic model for each ionic species is contained in a multi-sheet workbook, tabulating representative sets of energy levels, A-values and electron impact effective collision strengths from different sources. The relevant issues that AtomPy intends to address are: (i) data quality by allowing open access to both data producers and users; (ii) comparisons of different datasets to facilitate accuracy assessments; (iii) downloading to local data structures (i.e., Pandas DataFrames) for further manipulation and analysis by prospective users; and (iv) data preservation by avoiding the discard of outdated sets. Data processing workflows are implemented by means of IPython Notebooks, and collaborative software developments are encouraged and managed within the GitHub social network. The facilities of AtomPy are illustrated with the critical assessment of the transition probabilities for ions in the hydrogen and helium isoelectronic sequences with atomic number Z ≤ 10. View Full-Text
Keywords: atomic data; astrophysical applications; data curation; accuracy assessment atomic data; astrophysical applications; data curation; accuracy assessment

Figure 1

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Mendoza, C.; Boswell, J.S.; Ajoku, D.C.; Bautista, M.A. AtomPy: An Open Atomic Data Curation Environment for Astrophysical Applications. Atoms 2014, 2, 123-156.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Atoms EISSN 2218-2004 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top