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Scheduler Agenda

    • Wednesday Morning  
    • 2nd day  : discussions on the following four questions based on external people's past experiences
      • We will turn the questions into a slide per question
        • Discussion about scheduling algorithms
            • Describe the greedy algorithm in one slide
              • What other optimization approaches are available (does this include 'weather-modified/look-ahead-modified marching army'?)
              • Are greedy approaches sub optimal (when should we be looking beyond greedy)
              • How much human tweaking is used (are their automated schedulers)
            • Describe our thoughts for lookahead in one slide
              • What other approaches are possible and how do we make it deterministic 
              • How far in advance can we predict the LSST position
            • Experiences in short term (tactical) and long term (strategic) scheduling
              • One scheduler model or a hierarchy
              • Update strategic model in the day (do we care on timescales less than a lunation)
            • How do we define which heuristics are good (are these heuristics=metrics for tracking progress?)
              • trial and error, best practices 
            • How do we preserve temporal uniformity
              • What do we mean by this (one slide) and why we care
            • How do we represent spatially varying sky (e.g. twilight, cloud etc) and not just search for sucker holes
            • Why are filter changes important (slide on number of changes per hour, one change in 20 mins and its impact)
              • how can we minimize the filter changes
        • Grammar (do we need a better grammar to describe proposals?)
          • Explain the difference between what we schedule and what other telescopes schedule
          • What are the types of time constraints we have in the science proposals (or engineering) - one slide
            • are we missing any particular science case(s) and how rich is our grammar
          • How should we describe the time dependent events or proposals - one slide
            • Can we change the action if we fail to meet one of the objectives with an observation
        • Input telemetry
          • Slide on what telemetry info we have (including the cloud camera and observatory model). Slide from the overview of opsim
            • What are we missing - do we need DM feedback or can we 
            • Have people successfully employed predictive models (e.g. predict the weather 3 hrs from now)
          • Slide on what models we plan to have in place (e.g. sky and twilight model)
            • Do other observatories use this real time information?
            • How do they represent the data
          • How might we visualize the outputs and determine if something is going wrong 
      • Development of metrics
        • We need to take care that we focus less on the sociology and more on the mathematics of optimization and metrics
        • What are our current metrics designed to address (types of science cases) - one slide
          • What are we missing?
        • How do we turn a metric into a benefit function to trade-off with the cost function?
        • How do we fold a metric back into a schedule and then into a proposal 
        • We have multiple groups working with many different metrics
          • How do we manage different groups (are metrics for other systems all in-house)
          • Are there mechanisms to combine metrics to reduce the number of distinct metrics or is this all ad hoc
        • Probably naive to think we will have a single cost function but many cost functions that we will optimize
          • Optimization of a single cost function: Is that realistic or not? 
        • how do we account for data that is good for some proposals and bad for others
  • Room under Iain - power strips
  • Record the talks and discussions
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