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

M. Bogosavljevic; Z. Ioannou

doi:10.1117/12.2232248

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

M. Bogosavljevic, Z. Ioannou

Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Software and Cyberinfrastructure for Astronomy IV
Publisher	SPIE
Volume	9913
ISBN (Electronic)	9781510602052
DOIs	https://doi.org/10.1117/12.2232248
Publication status	Published - 2016
Event	Software and Cyberinfrastructure for Astronomy IV - Edinburgh, United Kingdom Duration: Jun 26 2016 → Jun 30 2016

Other

Other	Software and Cyberinfrastructure for Astronomy IV
Country/Territory	United Kingdom
City	Edinburgh
Period	6/26/16 → 6/30/16

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

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10.1117/12.2232248

Cite this

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title = "Implementing a real-time data stream for time-series stellar photometry",

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.",

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author = "M. Bogosavljevic and Z. Ioannou",

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doi = "10.1117/12.2232248",

language = "English",

volume = "9913",

booktitle = "Software and Cyberinfrastructure for Astronomy IV",

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AU - Bogosavljevic, M.

AU - Ioannou, Z.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Automatization

KW - Photometry

KW - Pipeline

KW - Real-time

KW - Robotic telescopes

KW - Software

KW - Streaming

KW - Time-series

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DO - 10.1117/12.2232248

M3 - Conference contribution

AN - SCOPUS:85006387046

VL - 9913

BT - Software and Cyberinfrastructure for Astronomy IV

PB - SPIE

T2 - Software and Cyberinfrastructure for Astronomy IV

Y2 - 26 June 2016 through 30 June 2016

ER -

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

Abstract

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Keywords

ASJC Scopus subject areas

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