Mining the GBT Metadata Archive: Statistics on Radio Frequency Use, 2002 - 2010

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

The metadata from all standard archived Robert C. Byrd Green Bank Telescope (GBT) data have been mined to develop accurate and detailed statistics on radio frequency use. The purpose of the exercise is to help answer several long-standing questions within the radio astronomy spectrum management community: What fraction of observing time is actually spent within exclusive allocated radio astronomy bands, within bands shared with transmitting services, or in bands that have no allocation to the radio astronomy service? To answer these questions, we developed an automated data mining system (which leveraged existing data analysis tools) and applied it to 6 TB of files in the GBT data archive. The data spanned the range August 30, 2002 - July 24, 2010. Data acquired prior to that pre-dated the standard GBT "production-mode” archive format, and data acquired after that range will be added to the analysis on a yearly basis.
GBT data from the antenna, receiver, IF, and other systems are acquired asynchronously in separate FITS files, which must then be time-matched and merged into a single data file to extract the necessary metadata. The automated system merged the FITS files and extracted 73 available parameters, such as sky frequency, bandwidth, azimuth, elevation, RA, DEC, system temperature, and many others. All data that generated full standard FITS data sets, including calibration and drift scans, were included in the statistics. Some observing modes, such as pulsar observations using custom backends without the parallel use of a standard GBT backend, could not be incorporated in the initial analysis. This presentation will summarize observing statistics that are relevant to spectrum management activities, and will provide answers to the above questions. Future work should include extending this analysis to other major radio astronomy facilities, such as Arecibo, the VLA, and the VLBA.

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