Surveying the Epsilon Eridani system Using MagAO

Rachel E. Morgan, Ewan S. Douglas, Kerri L. Cahoy, Jared R. Males, Katie M. Morzinski, Laird M Close

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Epsilon Eridani system is a star system ∼10 ly away predicted to be similar to our solar system, making it a particularly interesting target for exoplanet detection. A Jupiter-like exoplanet has been predicted at 1.88 arcsec using radial velocity techniques, and an outer debris disk has been imaged at 35 - 90 AU with Spitzer and CSO observations. We present a preliminary survey of the inner system using the MagAO instrument with the Magellan Clay telescope in Chile. We apply and evaluate the Karhunen-Loeve Image Projection technique, which estimates the point spread function (PSF) of the central star for high-contrast imaging using Principal Component Analysis (PCA). We perform this analysis by adapting the pyKLIP package, which was developed for analyzing data from the Gemini Planet Imager instrument, to be used with data from the MagAO/VisAO instrument.

Original languageEnglish (US)
Title of host publicationAdaptive Optics Systems VI
EditorsDirk Schmidt, Laura Schreiber, Laird M. Close
PublisherSPIE
Volume10703
ISBN (Print)9781510619593
DOIs
StatePublished - Jan 1 2018
EventAdaptive Optics Systems VI 2018 - Austin, United States
Duration: Jun 10 2018Jun 15 2018

Other

OtherAdaptive Optics Systems VI 2018
CountryUnited States
CityAustin
Period6/10/186/15/18

    Fingerprint

Keywords

  • Epsilon Eridani
  • KLIP
  • MagAO

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Morgan, R. E., Douglas, E. S., Cahoy, K. L., Males, J. R., Morzinski, K. M., & Close, L. M. (2018). Surveying the Epsilon Eridani system Using MagAO. In D. Schmidt, L. Schreiber, & L. M. Close (Eds.), Adaptive Optics Systems VI (Vol. 10703). [107032M] SPIE. https://doi.org/10.1117/12.2313947