High-contrast imaging in the cloud with klipReduce and Findr

High-contrast imaging in the cloud with klipReduce and Findr

Astronomical data sets are growing ever larger, and the area of high contrast imaging of exoplanets is no exception. With the advent of fast, low-noise detectors operating at 10 to 1000 Hz, huge numbers of images can be taken during a single hours-long observation. High frame rates offer several adv...

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Bibliographic Details
Main Authors: Haug-Baltzell, Asher, Males, Jared R., Morzinski, Katie M., Wu, Ya-Lin, Merchant, Nirav, Lyons, Eric, Close, Laird M.
Other Authors: Univ Arizona
Language:en
Published: SPIE-INT SOC OPTICAL ENGINEERING 2016
Subjects:
Cyberinfrastructure
cloud computing
exoplanet imaging
adaptive optics
KLIP
PSF subtraction
VisAO
Online Access:Asher Haug-Baltzell ; Jared R. Males ; Katie M. Morzinski ; Ya-Lin Wu ; Nirav Merchant ; Eric Lyons and Laird M. Close " High-contrast imaging in the cloud with klipReduce and Findr ", Proc. SPIE 9913, Software and Cyberinfrastructure for Astronomy IV, 99130F (August 8, 2016); doi:10.1117/12.2234095; http://dx.doi.org/10.1117/12.2234095
http://hdl.handle.net/10150/622548
http://arizona.openrepository.com/arizona/handle/10150/622548

Internet

Asher Haug-Baltzell ; Jared R. Males ; Katie M. Morzinski ; Ya-Lin Wu ; Nirav Merchant ; Eric Lyons and Laird M. Close " High-contrast imaging in the cloud with klipReduce and Findr ", Proc. SPIE 9913, Software and Cyberinfrastructure for Astronomy IV, 99130F (August 8, 2016); doi:10.1117/12.2234095; http://dx.doi.org/10.1117/12.2234095
http://hdl.handle.net/10150/622548
http://arizona.openrepository.com/arizona/handle/10150/622548

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