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SABID - ApJS 2017 : Management, Search and Analysis of Solar and Stellar Astronomy Big Data (SABID) - SPECIAL ISSUE IN JOURNAL | |||||||||||||
Link: http://www.cs.gsu.edu/~rangryk/cfp/apjs17/SABID_ApJS_CFP.pdf | |||||||||||||
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Call For Papers | |||||||||||||
This is a Call for Papers for a Focus Issue of the highly cited journal - THE ASTROPHYSICAL JOURNAL- SUPPLEMENT SERIES
Title of the Special Issue of the Journal: MANAGEMENT, SEARCH AND ANALYSIS OF SOLAR AND STELLAR ASTRONOMY BIG DATA (SABID) Link to the original advertisement [in PDF]: www.cs.gsu.edu/~rangryk/cfp/apjs17/SABID_ApJS_CFP.pdf MOTIVATION The success of the space-based missions, such as Kepler and the Solar Dynamics Observatory, have flooded the astronomical and solar physics communities with unprecedented quantities of data. Next generation ground-based observatories such as the Daniel K. Inouye Solar Telescope (DKIST) and the Large Synoptic Survey Telescope (LSST) will further exacerbate this Big Data crunch. Innovative data management, retrieval and mining techniques of these massive data sets, in the closely related fields of solar physics and stellar astrophysics, have the potential address fundamental science issues ranging from space weather predictability to the habitability of exoplanets. To facilitate this, the Astrophysical Journal Supplement Series has opened up a Focus Issue on the Management, Search and Analysis of Solar and Stellar Astronomy Big Data (SABID). EXAMPLE TOPICS 1. Managing the Flood of Solar and Stellar Astronomy Big Data ● New Models and Scientific Standards for Data Storage, Distribution, Retrieval and Mining ● Evaluation of Information Quality ● New Derived Data Products (Meta-Data) ● Data Management, Search and Analysis in Cloud and Distributed Environments ● Integration of Heterogeneous Information from Multiple Data Repositories 2. Solar and Stellar Astroinformatics, Astrostatistics and Data Mining ● Scalable Algorithms and Systems for Pattern Recognition (e.g. Computer Vision) and Machine-Learning ● Information Retrieval Architectures, their Scalability, Real-life Usefulness and Benefits to Science ● Novel Visualization and Interaction Tools for Hyperspectral Imaging, Spatial and Time Series Analysis 3. Computer Applications Related to Space Weather Predictions and Impacts ● Space Weather Applications in Science, Engineering, Education, Navigation, Telecommunication and Power Grids for Government, Public and Private Industry Sectors ● New Real-life Big Data-Driven Case Studies and Their Implications for Decision Making 4. Enhancing the Solar-Stellar Connection with Big Data ● Solar Analogs ● the Sun as a Typical Sun-like Star ● Helioseismology and Asteroseismology ● Solar and Stellar Dynamo Modeling ● Identifying Transient/Periodic Events from Data (e.g. Flares, Exoplanets and Supernovae) HOW TO SUBMIT Submissions for this topical issue will be accepted until June 16, 2017, but all interested authors need to submit abstract and tentative title of their work by May 5, 2017. In order to submit your contribution, please follow the instructions available at: https://aas.msubmit.net/cgi-bin/main.plex?form_type=display_auth_instructions and choose the Sun and Heliosphere corridor. In addition, please make sure to include a note saying that the paper is being submitted for "SABID Special Issue of ApJS". Each paper will be thoroughly refereed as any other regular submission to the journal. For help with submission process, please contact Dr. Leon Golub through "Getting Help" section available at the link specified above. On all other issues related to the scope of the special issue and questions about review process, please contact one of the guest editors directly. The journal and guest editors very much look forward to receiving your contribution. GUEST EDITORS Rafal A. Angryk angryk@cs.gsu.edu Computer Scientist, Georgia State University Piet C. Martens martens@astro.gsu.edu Solar Physicist, Georgia State University Russel J. White white@astro.gsu.edu Astronomer, Georgia State University |
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