AtomPy: An Open Atomic Data Curation Environment for Astrophysical Applications (trac #285)

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reported by: @CloudyLex

AtomPy: An Open Atomic Data Curation Environment for Astrophysical Applications
Posted on May 10, 2014 by AstroAtom
Claudio Mendoza (1,2), Josiah S. Boswell (3), David C. Ajoku(4) and Manuel A. Bautista (1)

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for further manipulation and analysis by prospective users; and (iv) data preservation by avoiding the discard of outdated sets.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 work?ows 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.

Complete paper –> http://www.mdpi.com/2218-2004/2/2/123

Migrated from https://www.nublado.org/ticket/285

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    "status": "new",
    "changetime": "2019-02-04T13:07:06Z",
    "_ts": "1549285626580696",
    "description": "{{{\nAtomPy: An Open Atomic Data Curation Environment for Astrophysical Applications\nPosted on May 10, 2014 by AstroAtom\nClaudio Mendoza (1,2), Josiah S. Boswell (3), David C. Ajoku(4) and Manuel A. Bautista (1)\n\nWe 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 work?ows 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.\n\nComplete paper \u2013> http://www.mdpi.com/2218-2004/2/2/123\n}}}",
    "reporter": "gary",
    "cc": "",
    "resolution": "",
    "time": "2014-05-11T13:24:01Z",
    "component": "atomic/molecular data base",
    "summary": "AtomPy: An Open Atomic Data Curation Environment for Astrophysical Applications",
    "priority": "good to do",
    "keywords": "",
    "version": "trunk",
    "milestone": "no milestone",
    "owner": "nobody",
    "type": "enhancement"
}

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@CloudyLex changed description from:

? The end of academic journal editors?Astronomy Day: Studying Our Star, the Sun ?
AtomPy: An Open Atomic Data Curation Environment for Astrophysical Applications
Posted on May 10, 2014 by AstroAtom
Claudio Mendoza (1,2), Josiah S. Boswell (3), David C. Ajoku(4) and Manuel A. Bautista (1)

(1) Department of Physics, Western Michigan University, Kalamazoo, MI 49008, USA. (2)  Centro de Física, IVIC, PO Box 20632, Caracas 1020A, Venezuela. (3)Department of Computer Science, Western Michigan University, Kalamazoo, MI 49008, USA. (4)Department of Mechanical and Aeronautical Engineering, Western Michigan University, Kalamazoo, MI 49008, USA.

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 work?ows 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.

Complete paper –> http://www.mdpi.com/2218-2004/2/2/123

to:

AtomPy: An Open Atomic Data Curation Environment for Astrophysical Applications
Posted on May 10, 2014 by AstroAtom
Claudio Mendoza (1,2), Josiah S. Boswell (3), David C. Ajoku(4) and Manuel A. Bautista (1)

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 work?ows 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.

Complete paper –> http://www.mdpi.com/2218-2004/2/2/123

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@peter-van-hoof-noaccount changed milestone from "" to "no milestone"