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Automating the Swift scheduling pipeline
Author(s): Alex Deich; Jeff Gropp; Sam LaPorte
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Paper 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.

Paper Details

Date Published: 6 July 2018
PDF: 6 pages
Proc. SPIE 10699, Space Telescopes and Instrumentation 2018: Ultraviolet to Gamma Ray, 106996C (6 July 2018); doi: 10.1117/12.2320320
Show Author Affiliations
Alex Deich, Swift Mission Operations Ctr. (United States)
Jeff Gropp, Swift Mission Operations Ctr. (United States)
Sam LaPorte, Swift Mission Operations Ctr. (United States)


Published in SPIE Proceedings Vol. 10699:
Space Telescopes and Instrumentation 2018: Ultraviolet to Gamma Ray
Jan-Willem A. den Herder; Shouleh Nikzad; Kazuhiro Nakazawa, Editor(s)

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