(of Light Curves) ▸ List of all sources detected at least once by LOFAR ▸ Multiple observations per source ▹ Light curves ▹ Adding time domain → dynamic catalogue ▸ Keep track of 'meta-data' ▹ image properties (noise) ▹ observation characteristics ▸ Make available for data mining/discovery ▹ Scalable
TB/yr ▸ Peaks: 10,000 sources per second ▸ Distinct sources: ~107 – 108 ▹ which are revisted many, many, many times ▸ These numbers call for bulk-processing ▹ maintain statistical representations of data ▹ spread data over multiple nodes 2 LOFAR TKP Meeting – 2011-12-14 Bart Scheers
Model ▸ Get all VLSS sources within the field of view ▸ Find (none or) counterpart in WENSS and NVSS catalogues ▸ Fit spectral index, curvature and higher order curvature order terms ▸ Create source-list file ▸ Wanted: No VLSS in FoV, use WENSS as base
sequential data points mσ above average ▸ Systematic structure of light curve ▹ Ratio of the mean square successive difference to the sample variance ▸ FTs, cross- & auto-correlations; all work with (varying) window sizes → SciQL 14 LOFAR TKP Meeting – 2011-12-14 Bart Scheers
Statistical representation of full LOFAR catalogue relaxes source association ▸ Sharded database reduces replication ▸ Together with SciLens the infrastructure is scalable ▸ SciQL extends data mining opertunities