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Astronomy and Computingadassspecialissue Astronomy and Computing (Elsevier) Special Issue on Astronomical Data Analysis Software and Systems Call for Papers Astronomical Data Analysis Software and Systems provides a forum for astronomers, computing scientists, software engineers, faculty members and students working in areas related to algorithms, software and systems for the acquisition, reduction, analysis, and dissemination of astronomical data. We invite high quality papers either on the use of software for analyzing astronomical data or the development and application of intelligent software with astronomical data. Topics of interests include but are not limited to: • Open source in astronomy: collaboration, development methods, tools, licensing, obstacles, and critics. • The challenges of operating large-scale complex astronomical instruments. • Machine learning applied to astronomical data analysis. • Astronomical network and data center infrastructure in the age of massive data transfer, Docker, Agile development, and DevOps. • Observatory operations software for ground and space based telescopes all the way through the value chain • Human-Computer Interaction, user interfaces design guidelines and interfaces to big data sets • HPC for Astronomy Data Reduction • Algorithms and Software for Radio Astronomy • Astronomy Simulation Software • Education and Citizen Science Important Dates Submission: March 31, 2018 Notification: April 15, 2018 Revision due: June 15, 2018 Notification of final acceptance: July 15, 2018 Notification of final revised paper: August 15, 2018 Special Issue Paper Submission This special issue seeks submission of papers that present novel and innovative ideas. It also welcomes submissions of extended versions of the best selected papers presented in the XXVII International Conference on Astronomical Data Analysis Software and Systems (ADASS 2017). Special Issue articles should fulfil all the normal requirements of any individual Astronomy & Computing article, and should be of relevance to a wide international and multidisciplinary readership. Authors should note that the same criteria of quality, originality, and significance apply to articles in Special Issues as to regular articles. Special Issue articles must not consist of overviews of the authors' previously published work e.g. peer-reviewed articles, book chapters, official reports etc. All submissions including invited papers go under regular peer review process. We seek submission of papers that present new, original and innovative ideas for the "first" time in Astronomy & Computing. Authors must be aware that this Astronomy & Computing submission really needs to be substantially different than their ADASS 2017 conference paper. i.e. longer (extended version), more embedded in the literature (updated state-of-the-art) and possibly with additional results. Submission of "extended versions" of already published works (e.g., conference papers) is not encouraged unless they contain a significant number of "new and original" ideas/contributions/results along with brand "new" material. While submitting paper to this issue, please select “Special Issue – Astronomical Data Analysis Software and Systems” in the submission system. Regular Issue Submission If you have a paper on Astronomical Data Analysis Software and Systems which does not match the requirements of the Special Issue, we encourage you to submit it as a regular paper to Astronomy & Computing. The journal has expanded its coverage to specifically include astronomical data analysis. Astronomy & Computing is indexed by Scopus, ADS and INSPEC with a 5-Year Impact Factor of 2.016 according to 2016 Journal Citations Report. Managing Guest Editor Dr. Mauricio Solar (contact editor for submission queries) Department of Informatics, Federico Santa Maria Technical University (UTFSM), Chile. Email: [email protected] Guest Editors Dra. Amelia Bayo Physics and Astronomy Institute, University of Valparaíso, Chile. [email protected] Dra. Nuria Lorente Australian Astronomical Observatory (AAO), Australia. [email protected] Dr. Karim Pichara Department of Computer Science, Pontifical Catholic University, Chile. [email protected] .
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