Implementing a real-time data stream for time-series stellar photometry

M. Bogosavljevic, Z. Ioannou

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

Abstract

We present a new automated photometric pipeline optimized for time-series photometry that includes a real-time data streaming service. An observer using this resource can automatically stream photometric data over the Internet. Other observers can then monitor the data stream in real time and make an informed decision whether to perform complementary observations of a transient event in progress. Our pipeline uses a modular design so that it can be easily implemented or customized as a real-time robotic telescope pipeline on any observatory. The pipeline is controlled through the user friendly SAOImage DS9 package.

Original languageEnglish
Title of host publicationSoftware and Cyberinfrastructure for Astronomy IV
PublisherSPIE
Volume9913
ISBN (Electronic)9781510602052
DOIs
Publication statusPublished - 2016
EventSoftware and Cyberinfrastructure for Astronomy IV - Edinburgh, United Kingdom
Duration: Jun 26 2016Jun 30 2016

Other

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

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Keywords

  • Automatization
  • Photometry
  • Pipeline
  • Real-time
  • Robotic telescopes
  • Software
  • Streaming
  • Time-series

ASJC Scopus subject areas

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

Cite this

Bogosavljevic, M., & Ioannou, Z. (2016). Implementing a real-time data stream for time-series stellar photometry. In Software and Cyberinfrastructure for Astronomy IV (Vol. 9913). [991316] SPIE. https://doi.org/10.1117/12.2232248