AtomPy: An Open Atomic Data Curation Environment for Astrophysical Applications

Department of Mechanical and Aeronautical Engineering, Western Michigan University, Kalamazoo,MI 49008, USA; E-Mail: chukwuemekadav.ajoku@wmich.edu* Author to whom correspondence should be addressed; E-Mail: manuel.bautista@wmich.edu;Tel.: +1-269-387-5360; Fax: +1-269-387-4939.Received: 6 January 2014; in revised form: 7 April 2014 / Accepted: 8 April 2014 /Published: 2 May 2014Abstract: We present a cloud-computing environment, referred to as AtomPy, based onGoogle-Drive Sheets and Pandas (Python Data Analysis Library) DataFrames to promotecommunity-driven curation of atomic data for astrophysical applications, a stage beyonddatabase development. The atomic model for each ionic species is contained in a multi-sheetworkbook, tabulating representative sets of energy levels, A-values and electron impacteffective collision strengths from different sources. The relevant issues that AtomPy intendsto 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) downloadingto local data structures (i.e., Pandas DataFrames) for further manipulation and analysis byprospective users; and (iv) data preservation by avoiding the discard of outdated sets. Dataprocessing workflows are implemented by means of IPython Notebooks, and collaborativesoftware developments are encouraged and managed within the GitHub social network. Thefacilities of AtomPy are illustrated with the critical assessment of the transition probabilitiesfor ions in the hydrogen and helium isoelectronic sequences with atomic number Z10.Keywords: atomic data; astrophysical applications; data curation; accuracy assessment

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