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

研究成果: 書貢獻/報告類型會議論文篇章

5 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題Software and Cyberinfrastructure for Astronomy IV
編輯Gianluca Chiozzi, Juan C. Guzman
發行者SPIE
ISBN(電子)9781510602052
DOIs
出版狀態已發佈 - 2016
對外發佈
事件Software and Cyberinfrastructure for Astronomy IV - Edinburgh, 英国
持續時間: 2016 6月 262016 6月 30

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
9913
ISSN(列印)0277-786X
ISSN(電子)1996-756X

會議

會議Software and Cyberinfrastructure for Astronomy IV
國家/地區英国
城市Edinburgh
期間2016/06/262016/06/30

ASJC Scopus subject areas

  • 電子、光磁材料
  • 凝聚態物理學
  • 電腦科學應用
  • 應用數學
  • 電氣與電子工程

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