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arxiv: 2012.06927 · v1 · pith:Y5UGBM6Jnew · submitted 2020-12-13 · 🌌 astro-ph.IM

Automated Project Completion Forecasting

classification 🌌 astro-ph.IM
keywords telescopeautomatedcompletionforecastingimprovedjcmtlargeparameters
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In the age of Large Programs and Big Data a key component in project planning for ground-based astronomical observatories is understanding how to balance users demands and telescope capabilities. In particular, future planning for operations requires us to asses the impact of a complex set of parameters, such as right ascension, instrument, and sky condition pressures over coming semesters. Increased understanding of these parameters can provide: improved scientific output, better management of user expectations, more accurate advertised/allocated time under a Call for Proposals, and improved scheduling for instrumental commissioning and engineering work. We present ongoing efforts by staff at the James Clerk Maxwell Telescope (JCMT) to build a tool to provide automated completion forecasting of Large Programs undertaken at this telescope, which make up 50% of the observing time available at the JCMT.

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