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Optimizing VLBI Schedules for Enhanced Results

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Learn how scheduling impacts VLBI results and discover strategies for improving efficiency, especially in handling weak stations, reducing idle time, and adapting schedules in real-time. Uncover insights from previous simulations and the potential for significant enhancements in observational outcomes through better scheduling practices.

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Optimizing VLBI Schedules for Enhanced Results

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  1. Scheduling

  2. Results Depend on Schedule • Results from different schedules not always well understood • Dirk Behrend CONT05 simulations showed 20-40% improvement in EOP with ARO tagged-along • WHY? • Using artificial fast slew rates accounted for less than half of the improvement

  3. Weak and Southern Stations • Weak stations are often neglected in schedules • TIGO/CTVA only have 20-30 scans in E3 in standard • Needs some fixes by scheduler – get ~100 scans at each • Fixes are available in more recent skeds may not fix the weakest stations • Still TIGO only had half of average station in CONT05, R4s • 4-5 scans per hour

  4. Idle Time • Station time is the most limited resource in today’s VLBI • Typical idle times are 30-40% per station • Waiting for slow stations…. • Start observations right after two or more stations on source • Let slow dishes wait for other dishes to make more observations

  5. Distribution is Old • Schedules are distributed via ftp a week in advance • If stations need to drop, schedule is not changed • If we consider eVLBI – should be able to eSchedule-adjust schedule to current conditions, at least in the • Possible improvement of 15-30% in EOP in sessions where stations are dropped - Not very frequent • Real time sked for station failures mid-session? Often.

  6. Close the loop • Currently little feedback from analysts on quality of schedules • Stations respond if something doesn’t make sense • Network/Source geometric strength or weakness seen best by analysis

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