Automating the Swift scheduling pipeline

Alex Deich; Jeff Gropp; Sam LaPorte

doi:10.1117/12.2320320

6 July 2018 Automating the Swift scheduling pipeline

Alex Deich, Jeff Gropp, Sam LaPorte

Proceedings Volume 10699, Space Telescopes and Instrumentation 2018: Ultraviolet to Gamma Ray; 106996C (2018) https://doi.org/10.1117/12.2320320
Event: SPIE Astronomical Telescopes + Instrumentation, 2018, Austin, Texas, United States

Abstract

Creating an observing timeline for the Swift spacecraft is a non-trivial problem. Currently, it takes a human an average of 5 hours to produce a plan which maximizes science returns while balancing numerous spacecraft constraints which preserve spacecraft health. We present the Swift scheduling automation pipeline, which aims to totally automate the scheduling process. We use an iterative process to search precomputed databases to construct robust observation plans. Our system can run several orders of magnitude faster than a human, is computationally cheap, and produces much more optimized plans while also enabling fast optimal responses to unpredictable phenomena including GRB, GW and neutrino triggers.

Citation Download Citation

Alex Deich, Jeff Gropp, and Sam LaPorte "Automating the Swift scheduling pipeline", Proc. SPIE 10699, Space Telescopes and Instrumentation 2018: Ultraviolet to Gamma Ray, 106996C (6 July 2018); https://doi.org/10.1117/12.2320320

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