An Evolving Solar Data Environment

The rapid growth of solar data is driving changes in the typical workflow and algorithmic approach to solar data analysis. We present recently deployed tools to aid this evolution and layout the path for future development. The majority of space-based datasets including those from the multi-petabyte...

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Bibliographic Details
Published in:arXiv.org 2018-06
Main Authors: Hurlburt, Neal, Freeland, Sam, Timmons, Ryan
Format: Article
Language:English
Subjects:
Celestial bodies
Data analysis
Missions
Solar activity
Solar observatories
Weather forecasting
Workflow
Online Access:Get full text
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Summary:The rapid growth of solar data is driving changes in the typical workflow and algorithmic approach to solar data analysis. We present recently deployed tools to aid this evolution and layout the path for future development. The majority of space-based datasets including those from the multi-petabyte Solar Dynamics Observatory and the Hinode and Interface Region Imaging Spectrograph (IRIS) missions are made available to the community through a common API with support in IDL (via SolarSoft), Python/SunPy and other emerging languages. Stellar astronomers may find the IRIS data particularly useful for research into stellar chromospheres and for interpreting UV spectra.
ISSN:2331-8422