@inproceedings{6feb2fbafaca49189148f0ef3e55829a,
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.",
keywords = "Automatization, Photometry, Pipeline, Real-time, Robotic telescopes, Software, Streaming, Time-series",
author = "M. Bogosavljevic and Z. Ioannou",
note = "Funding Information: The authors would like to thank Matthew Graham (Center for Advanced Computing Research, Caltech) for his useful comments and help with providing Skyalert source code and documentation as well as Tim Naylor for his help with testing our implementation of opphot. M. Bogosavljevie acknowledges the support of the Serbian MESTD through grant ON176021 and FP7-REGPOT project BELISSIMA funded by the European Commission 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 = "10.1117/12.2232248",
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",
}