Modern Wavefront Control for Space-Based Exoplanet Coronagraph Imaging

He Sun, Jessica Gersh-Range, N. Jeremy Kasdin

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

2 Scopus citations

Abstract

Direct imaging of earth-like exoplanets is one of the most timely and important scientific endeavours for future large space telescopes. Typically, an earth-like exoplanet is roughly a billion times dimmer than its host star, so the key for exoplanet imaging is to create extremely high contrast observation regions in the telescope's image plane. One approach to achieving this goal is a cornagraph together with wavefront control, where the coronagraph is used to suppress the diffracted starlight and the wavefront control is used to cancel the wavefront aberrations. In this paper, we present a brief survey of the modern wavefront control techniques for a space-based coronagraph instrument, from the speckle nulling feedback controller to newly developed learning-based controllers. We also describe our implementation of all these controllers on NASA's next large space telescope, the Wide Field Infrared Survey Telescope (WFIRST), to compare their advantages and limitations.

Original languageEnglish (US)
Title of host publication2019 IEEE Aerospace Conference, AERO 2019
PublisherIEEE Computer Society
ISBN (Electronic)9781538668542
DOIs
StatePublished - Mar 2019
Event2019 IEEE Aerospace Conference, AERO 2019 - Big Sky, United States
Duration: Mar 2 2019Mar 9 2019

Publication series

NameIEEE Aerospace Conference Proceedings
Volume2019-March
ISSN (Print)1095-323X

Conference

Conference2019 IEEE Aerospace Conference, AERO 2019
CountryUnited States
CityBig Sky
Period3/2/193/9/19

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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  • Cite this

    Sun, H., Gersh-Range, J., & Jeremy Kasdin, N. (2019). Modern Wavefront Control for Space-Based Exoplanet Coronagraph Imaging. In 2019 IEEE Aerospace Conference, AERO 2019 [8741597] (IEEE Aerospace Conference Proceedings; Vol. 2019-March). IEEE Computer Society. https://doi.org/10.1109/AERO.2019.8741597