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Sky Surveys Scheduling Using Reinforcement Learning, Andres Felipe Alba Hernandez
Sky Surveys Scheduling Using Reinforcement Learning, Andres Felipe Alba Hernandez
Graduate Research Theses & Dissertations
Modern cosmic sky surveys (e.g., CMB S4, DES, LSST) collect a complex diversity of astronomical objects. Each of class of objects presents different requirements for observation time and sensitivity. For determining the best sequence of exposures for mapping the sky systematically, conventional scheduling methods do not optimize the use of survey time and resources. Dynamic sky survey scheduling is an NP-hard problem that has been therefore treated primarily with heuristic methods. We present an alternative scheduling method based on reinforcement learning (RL) that aims to optimize the use of telescope resources for scheduling sky surveys.
We present an exploration of …