LOFAR Self-Calibration using a Local Sky Model

Details LOFAR Self-Calibration using a Local Sky Model LOFAR Self-Calibration using a Local Sky Model

Jul 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aspc..351..291n&link_type=abstract

Astronomical Data Analysis Software and Systems XV ASP Conference Series, Vol. 351, Proceedings of the Conference Held 2-5 Octob

Astronomy and Astrophysics

Astronomy

5

Scientific paper

LOFAR Self-Calibration will be based on adaptive models. This means that instrumental, ionospheric, and sky parameters are fitted to the measured data using a Measurement Equation (ME). One of the deliverables of LOFAR will thus be a Global Sky Model (GSM) that will be an all-sky database of some 100 million objects characterised by position, shape, flux, and polarization. Once a (crude) GSM is constructed it will be updated by fitting it to new measured data. The part of the GSM that is relevant for the processing of a particular dataset is put in a Local Sky Model (LSM). There it is combined with relevant observational data and used in the Self-Calibration process. In this presentation the design and implementation of the Local Sky Model within the MeqTree System (a new module for Self-Calibration) is discussed. Initially processing will be based on Point Sources and Imaged Sources. This results in a different treatment of the two types.

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