DETECTION AND CHARACTERIZATION OF EXOPLANETS AND DISKS USING PROJECTIONS ON KARHUNEN-LOÈVE EIGENIMAGES
Space Telescope Science Institute · Johns Hopkins University · +4 more institutions
Abstract
We describe a new method to achieve point spread function (PSF) subtractions for high- contrast imaging using Principal Component Analysis (PCA) that is applicable to both point sources or extended objects (disks). Assuming a library of reference PSFs, a Karhunen-Lo`eve transform of theses references is used to create an orthogonal basis of eigenimages, on which the science target is projected. For detection this approach provides comparable suppression to the Locally Optimized Combination of Images (LOCI) algorithm, albeit with increased robustness to the algorithm parameters and speed enhancement. For characterization of detected sources the method enables forward modeling of astrophysical sources. This…
Citation impact
- FWCI
- 29.15
- Percentile
- 100%
- References
- 49
Authors
3- RSRémi SoummerCorresponding
Space Telescope Science Institute
- LPLaurent Pueyo
Space Telescope Science Institute, Johns Hopkins University, Johns Hopkins University Applied Physics Laboratory, Université Bourgogne Franche-Comté, University of Baltimore
- JLJames LarkinCorresponding
University of California, Los Angeles
Topics & keywords
- Exoplanet
- Karhunen–Loève theorem
- Astrometry
- Physics
- Photometry (optics)
- Point spread function
- Robustness (evolution)
- Principal component analysis