ANTARES: Progress towards building a `Broker' of time-domain alerts
Abhijit Saha, Zhe Wang, Thomas Matheson, Gautham Narayan, Richard, Snodgrass, John Kececioglu, Carlos Scheidegger, Tim Axelrod, Tim Jenness,, Stephen Ridgway, Robert Seaman, Clark Taylor, Jackson Toeniskoetter, Eric, Welch, Shuo Yang, and Tayeb Zaidi
TL;DR
ANTARES is a prototype system designed to process and categorize alerts from time-domain surveys like LSST, integrating multi-source data to identify critical events requiring immediate follow-up.
Contribution
It introduces a novel architecture and algorithms for real-time alert processing, annotation, and categorization in the context of large-scale astronomical surveys.
Findings
Prototype software developed for alert processing
Effective annotation with multi-wavelength data
Successful categorization of variable phenomena
Abstract
The Arizona-NOAO Temporal Analysis and Response to Events System (ANTARES) is a joint effort of NOAO and the Department of Computer Science at the University of Arizona to build prototype software to process alerts from time-domain surveys, especially LSST, to identify those alerts that must be followed up immediately. Value is added by annotating incoming alerts with existing information from previous surveys and compilations across the electromagnetic spectrum and from the history of past alerts. Comparison against a knowledge repository of properties and features of known or predicted kinds of variable phenomena is used for categorization. The architecture and algorithms being employed are described.
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