@inproceedings{c8d95bca97694cf0b10121b34d7891bc,
title = "High-contrast imaging in the cloud with klipReduce and findr",
abstract = "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 advantages, such as improved registration, frame selection, and improved speckle calibration. However, advanced image processing algorithms are computationally challenging to apply. Here we describe a parallelized, cloud-based data reduction system developed for the Magellan Adaptive Optics VisAO camera, which is capable of rapidly exploring tens of thousands of parameter sets affecting the Karhunen-Lo{\`e}ve image processing (KLIP) algorithm to produce high-quality direct images of exoplanets. We demonstrate these capabilities with a visible wavelength high contrast data set of a hydrogen-accreting brown dwarf companion.",
keywords = "Adaptive optics, Cloud computing, Cyberinfrastructure, Exoplanet imaging, KLIP, PSF subtraction, VisAO",
author = "Asher Haug-Baltzell and Males, {Jared R.} and Morzinski, {Katie M.} and Wu, {Ya Lin} and Nirav Merchant and Eric Lyons and Close, {Laird M.}",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Software and Cyberinfrastructure for Astronomy IV ; Conference date: 26-06-2016 Through 30-06-2016",
year = "2016",
doi = "10.1117/12.2234095",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Gianluca Chiozzi and Guzman, {Juan C.}",
booktitle = "Software and Cyberinfrastructure for Astronomy IV",
}