Abstract
The Gemini Planet Imager (GPI) has been designed for the direct detection and characterization of exoplanets and circumstellar disks. GPI is equipped with a dual channel polarimetry mode designed to take advantage of the inherently polarized light scattered off circumstellar material to further suppress the residual seeing haloleft uncorrected by the adaptive optics. We explore how recent advances in data reduction techniques reduce systematics and improve the achievable contrast in polarimetry mode. In particular, we consider different flux extraction techniques when constructing datacubes from raw data, division by a polarized at-field and a method for subtracting instrumental polarization. Using observations of unpolarized standard stars we find that GPI's instrumental polarization is consistent with being wavelength independent within our errors. In addition, we provide polarimetry contrast curves that demonstrate typical performance throughout the GPIES campaign.
Original language | English (US) |
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Title of host publication | Ground-Based and Airborne Instrumentation for Astronomy VI |
Editors | Luc Simard, Christopher J. Evans, Hideki Takami |
Publisher | SPIE |
ISBN (Electronic) | 9781510601956 |
DOIs | |
State | Published - 2016 |
Event | Ground-Based and Airborne Instrumentation for Astronomy VI - Edinburgh, United Kingdom Duration: Jun 26 2016 → Jun 30 2016 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 9908 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Ground-Based and Airborne Instrumentation for Astronomy VI |
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Country/Territory | United Kingdom |
City | Edinburgh |
Period | 6/26/16 → 6/30/16 |
Funding
JRG was supported in part by NASA/NNX15AD95G.
Keywords
- Gemini Planet Imager
- High-contrast imaging
- Polarimetry
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering