• Medientyp: E-Artikel
  • Titel: Satellite Constellation Avoidance with the Rubin Observatory Legacy Survey of Space and Time
  • Beteiligte: Hu, Jinghan Alina; Rawls, Meredith L.; Yoachim, Peter; Ivezić, Željko
  • Erschienen: American Astronomical Society, 2022
  • Erschienen in: The Astrophysical Journal Letters
  • Sprache: Nicht zu entscheiden
  • DOI: 10.3847/2041-8213/aca592
  • ISSN: 2041-8205; 2041-8213
  • Schlagwörter: Space and Planetary Science ; Astronomy and Astrophysics
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  • Beschreibung: <jats:title>Abstract</jats:title> <jats:p>We investigate a novel satellite avoidance strategy to mitigate the impact of large commercial satellite constellations in low-Earth orbit on the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). We simulate the orbits of currently planned Starlink and OneWeb constellations (∼40,000 satellites) to test how effectively an upgraded Rubin scheduler algorithm can avoid them, and assess how the overall survey is affected. Given a reasonably accurate satellite orbit forecast, we find it is possible to adjust the scheduler algorithm to effectively avoid some satellites. Overall, sacrificing 10% of LSST observing time to avoid satellites reduces the fraction of LSST visits with streaks by a factor of 2. Whether such a mitigation will be required depends on the overall impact of streaks on science, which is not yet well quantified. This is due to a lack of adequate information about satellite brightness distributions as well as the impact of glints and low surface brightness residuals on alert purity and systematic errors in cosmological parameter estimation. A significant increase in the number of satellites or their brightness during Rubin Operations may make implementing this satellite avoidance strategy worthwhile.</jats:p>
  • Zugangsstatus: Freier Zugang