High-contrast imaging in the cloud with klipReduce and findr

Asher Haug-Baltzell, Jared R. Males, Katie M. Morzinski, Ya Lin Wu, Nirav Merchant, Eric Lyons, Laird M. Close

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

4 Scopus citations

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-Loève 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.

Original languageEnglish (US)
Title of host publicationSoftware and Cyberinfrastructure for Astronomy IV
EditorsGianluca Chiozzi, Juan C. Guzman
PublisherSPIE
ISBN (Electronic)9781510602052
DOIs
StatePublished - 2016
EventSoftware and Cyberinfrastructure for Astronomy IV - Edinburgh, United Kingdom
Duration: Jun 26 2016Jun 30 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9913
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherSoftware and Cyberinfrastructure for Astronomy IV
CountryUnited Kingdom
CityEdinburgh
Period6/26/166/30/16

Keywords

  • Adaptive optics
  • Cloud computing
  • Cyberinfrastructure
  • Exoplanet imaging
  • KLIP
  • PSF subtraction
  • VisAO

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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