Other
Scientific paper
Aug 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aspc..394..357m&link_type=abstract
Astronomical Data Analysis Software and Systems ASP Conference Series, Vol. 394, Proceedings of the conference held 23-26 Septem
Other
Scientific paper
Current methodologies for extracting desired data from light curves involves a complicated process that is often not portable to other projects or other disciplines. To create a more generic environment to easily filter, correct, and clean light-curve data from a myriad of sources; we have developed an XML based work-flow application which allows for a standard, yet scalable and flexible way to handle light curve processing. Wrapped in a Python powered interactive GUI, this application offers astronomers an environment to easily experiment with various light curve filtering techniques. Once a favorable filtering process is discovered, the sequence of filters can be stored, reused, and then applied in batch to large set of raw light curves.
Dav'e Romeel
Morikawa Eihisa
Protopapas Pavlos
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