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In turn, each telescope still has to deal with weather and dynamic conditions on oversubscribed systems. It is thus natural to turn to advanced multi-purpose scheduling software development in order to enhance scientific return in an effort to identify better solutions. In this paper we present a strawman Python scheduler based on a modular design for scheduling astronomy observations that is easy to adapt to the specific requirements of an observation, but still general enough to optimize in a simple evaluation schema very similar to dynamic scheduling strategies already being used in so many industrial areas. |
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