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| Paper: |
Jiveplot: Inspecting Large Volumes of Raw Radio Data Made Easy |
| Volume: |
527, Astronomical Data Analysis Software and Systems XXIX |
| Page: |
239 |
| Authors: |
Verkouter, H. |
| Abstract: |
Many radio telescopes (e.g. ALMA, LOFAR, VLA) deliver their correlated data — visibilities — in MeasurementSet (MS) format: the native data format of the Common Astronomy Software Applications (CASA) suite of radio astronomy tools. For most science users, visualizing raw visibilities is not strictly required. However, when commissioning a new instrument, diagnosing problems in hard and/or software or assessing data quality, it may be an invaluable tool. Visualizing visibilities is challenging not only because of the volume of data but also because of lack of appropriate tooling. At the Joint Institute for VLBI ERIC (JIVE), the MS has been used as internal data format since 1998. For diagnostic plots and correlator commissioning a standalone, Python-based, plotting package for MS was developed, jiveplot. The package has a number of features that other users of MS might find useful, amongst others speed, flexibility and easy data selection. |
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