Paper
18 July 2014 An experiment in big data: storage, querying and visualisation of data taken from the Liverpool Telescope's wide field cameras
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Abstract
The Small Telescopes Installed at the Liverpool Telescope (STILT) project has been in operation since March 2009, collecting data with three wide field unfiltered cameras: SkycamA, SkycamT and SkycamZ. To process the data, a pipeline was developed to automate source extraction, catalogue cross-matching, photometric calibration and database storage. In this paper, modifications and further developments to this pipeline will be discussed, including a complete refactor of the pipeline's codebase into Python, migration of the back-end database technology from MySQL to PostgreSQL, and changing the catalogue used for source cross-matching from USNO-B1 to APASS. In addition to this, details will be given relating to the development of a preliminary front-end to the source extracted database which will allow a user to perform common queries such as cone searches and light curve comparisons of catalogue and non-catalogue matched objects. Some next steps and future ideas for the project will also be presented.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. M. Barnsley, Iain A. Steele, R. J. Smith, and Neil R. Mawson "An experiment in big data: storage, querying and visualisation of data taken from the Liverpool Telescope's wide field cameras", Proc. SPIE 9152, Software and Cyberinfrastructure for Astronomy III, 91522L (18 July 2014); https://doi.org/10.1117/12.2055558
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KEYWORDS
Databases

Data storage

Telescopes

Clouds

Cameras

Space telescopes

Calibration

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