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The MBFits Data Format

Explore the advantages of MBFits, a new common raw data format for radioastronomy observations. Learn about the software developments, tools, and formats used at the Max-Planck-Institut für Radioastronomie in Germany and at the Urumqi Radio Telescope in China. Discover the benefits for developers and observers, and access detailed documentation for MBFits.

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The MBFits Data Format

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  1. The MBFits Data Format Peter Müller Max-Planck-Institut für Radioastronomie, Bonn Radioteleskop Effelsberg, Bad Münstereifel Germany MBFits Format

  2. 100m RT Effelsberg MBFits Format

  3. Software developements at Effelsberg • New telescope control software • Realtime on VXworks OS • Time uncritical part on Linux OS • New reduction software (Toolbox) • New raw data format (MBFits) • Programing language PYTHON MBFits Format

  4. ... And at Urumqi 25m RT • Fortunately nearly the same situation as in Effelsberg • Telescope control software • Realtime on DOS OS • Time uncritical part on Linux OS • Effelsberg SW was easily portable MBFits Format

  5. What was to do? • Major differences on the realtime part • Only tracking possible, no scanning • Serial line connection, no ethernet • Both problems could be solved • Serial line connection (easy) • Scanning (no so easy) • Linux SW nearly identical to Effelsberg • Reduction SW toolbox Ver 0.1 • Many thanks to Sun Xiaohui for debuging and necessarily improvements to the SW MBFits Format

  6. Advantages of MBFits • For all single-dish bolometer and heterodyne multi beam observations • Easier to share software • Human readable with the FITSviewer fv (Linux) • Complete and detailed description • Fits structure (Keyword-value-description) • Data associated parameter table • Scan – subscan - integration MBFits Format

  7. MBFits block diagram MBFits Format

  8. FITSviewer MBFits Format

  9. SCAN-MBFITS MBFits Format

  10. MONITOR-MBFITS MBFits Format

  11. DATAPAR-MBFITS MBFits Format

  12. ARRAYDATA-MBFITS MBFits Format

  13. Conclusions • MBFits is a new common raw data format • Advantages for software developers and observers • Full and detailed description available at: ftp://ftp.mpifr-bonn.mpg.de/outgoing/peter/MBFits.pdf MBFits Format

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