Computer Science – Performance
Scientific paper
Aug 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006iauss...6e..18p&link_type=abstract
Astronomical Data Management, 26th meeting of the IAU, Special Session 6, 22 August, 2006 in Prague, Czech Republic, SPS6, #18
Computer Science
Performance
Scientific paper
We present an algorithm for automatic evaluation of quality of visibility data from a synthesis telescope depending on its quality and usefulness for imaging. The framework is based on finding the key parameters which affect data quality. To a visibility file, for each key parameter, a numerical index from 1 to 9 is assigned which is called the Quality Factor (QF). The QF assesses the extent to which the observed visibilities satisfy the expected requirements for that parameter. The overall quality is calculated using all the QFs assigned based on individual key parameters namely, the completeness, interference statistics, rms noise and the effect of sun on the visibility data. We discuss the results of application of such a framework to the visibility data observed for the southern sky survey at 151.5 MHz using the Mauritius Radio Telescope (MRT). The visibility database has a total size of about 1 Terabyte and consists of ~20,000 hours of astronomical observations. The entire data quality evaluation process is accomplished automatically using a program written in Perl programming language without any manual intervention. The comparison of the results of the automatic method with the manual approach based on human expertise reveals an excellent agreement of about 90%. The application of this technique has made data quality evaluation objective, efficient and extremely fast compared to the traditional manual approach. It's critical role in our survey work cannot be overemphasized. It is encouraging to note that even with this simple model the technique works quite satisfactorily. With suitable modifications, an astronomical tool based on such an algorithm can be applied on data sets from other interferometeric arrays, Virtual Observatories and to monitor the performance of an observatory itself.
Pandey Vishambar N.
Shankar Udaya N.
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