Paper published in a book (Scientific congresses and symposiums)
Scheduling and target selection optimization for exoplanet imaging spacecraft
Keithly, Dean R.; Savransky, Dmitry; Garrett, Daniel et al.
2018In Fazio, Giovanni G. (Ed.) Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave
Editorial reviewed
 

Files


Full Text
Scheduling and target selection optimization for exoplanet imaging spacecraft.pdf
Author postprint (217.03 kB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Coronagraph; Direct-imaging; Exoplanets; EXOSIMS; Optimization; Scheduling; Space-based Telescope; WFIRST; Direct imaging; Exo-planets; Space-based telescopes; Electronic, Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications; Applied Mathematics; Electrical and Electronic Engineering
Abstract :
[en] Space-based extrasolar planet imaging mission performance is dependent on selection of optimal targets, integration times, and scheduling each observation. We use the WFIRST space telescopes stellar coronagraphic instrument as a baseline to compare simulated exoplanet detection yield of multiple target selection and scheduling algorithms. Using completeness as a reward metric and integration time plus overhead time as a cost metric, we simultaneously optimize the observation list and integration times. To schedule these observations, we present different dynamic planning and static planning algorithms and validate their performance in "realistic" Monte Carlo simulations using the Exoplanet Open-Source Imaging Mission Simulator (EXOSIMS) software package. We test these algorithms with completeness generated from different assumed planet populations to demonstrate robustness in deviation of the actual planet population from the planned planet population.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Keithly, Dean R.;  Cornell University, Ithaca, United States ; Carl Sagan Institute, Cornell University, Ithaca, United States
Savransky, Dmitry;  Cornell University, Ithaca, United States ; Carl Sagan Institute, Cornell University, Ithaca, United States
Garrett, Daniel;  Cornell University, Ithaca, United States ; Carl Sagan Institute, Cornell University, Ithaca, United States
Delacroix, Christian  ;  Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Planetary & Stellar systems Imaging Laboratory ; Princeton University, Princeton, United States
Language :
English
Title :
Scheduling and target selection optimization for exoplanet imaging spacecraft
Publication date :
2018
Event name :
Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave
Event place :
Austin, Usa
Event date :
10-06-2018 => 15-06-2018
Main work title :
Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave
Editor :
Fazio, Giovanni G.
Publisher :
SPIE
ISBN/EAN :
978-1-5106-1949-4
Peer reviewed :
Editorial reviewed
Funders :
NASA - National Aeronautics and Space Administration [US-DC]
Funding text :
This work was supported by the NASA Space Grant Graduate Fellowship from the New York Space Grant Consortium, NASA Grant Nos. NNX14AD99G (GSFC), NNX15AJ67G (WFIRST Preparatory Science), and NNG16PJ24C (WFIRST Science Investigation Teams). This research made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration, 2018) and OR-Tools, an optimization utility package made by Google Inc. with community support; 4D Technology; Andor Technology, Ltd.; Astronomical Consultants and Equipment, Inc.; Giant Magellan Telescope; GPixel, Inc.; et al.
Available on ORBi :
since 18 February 2024

Statistics


Number of views
1 (0 by ULiège)
Number of downloads
2 (0 by ULiège)

Scopus citations®
 
3
Scopus citations®
without self-citations
1
OpenCitations
 
1

Bibliography


Similar publications



Contact ORBi