ANTARES: Progress towards building a `Broker' of time-domain alerts

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.

References in corpus (5)

• LSST: from Science Drivers to Reference Design and Anticipated Data Products
• GAIA: Composition, Formation and Evolution of the Galaxy
• A synthetic view on structure and evolution of the Milky Way
• Indexing the Sphere with the Hierarchical Triangular Mesh
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Cited by in corpus (12)

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• RAPID: Early Classification of Explosive Transients using Deep Learning
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• The ANTARES Astronomical Time-Domain Event Broker
• A Hybrid Algorithm for Period Analysis from Multi-band Data with Sparse and Irregular Sampling for Arbitrary Light Curve Shapes
• A classification algorithm for time-domain novelties in preparation for LSST alerts: Application to variable stars and transients detected with DECam in the Galactic Bulge
• Reliable Identification of Binary Supermassive Black Holes from Rubin Observatory Time-Domain Monitoring
• Star formation and morphological properties of galaxies in the Pan-STARRS $3\pi$ survey- I. A machine learning approach to galaxy and supernova classification
• SPLOT: a Snapshot survey for Polarised Light in Optical Transients
• AT 2020iko: a WZ Sge-type DN candidate with an anomalous precursor event
• Development of the Arizona Robotic Telescope Network
• Infrastructure and Strategies for Time Domain and MMA and Follow-Up