activity
20142023
most citedMachine Learning-based Brokers for Real-time Classification of the LSST Alert Stream

97 citations · 209 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.EP2023★ 11 cited

The Solar System Notification Alert Processing System (SNAPS): Design, Architecture, and First Data Release (SNAPShot1)

David E. Trilling, Michael Gowanlock, Daniel Kramer +4

We present here the design, architecture, and first data release for the Solar System Notification Alert Processing System (SNAPS). SNAPS is a Solar System broker that ingests aler…

astro-ph.IM2020★ 67 cited

The ANTARES Astronomical Time-Domain Event Broker

Thomas Matheson, Carl Stubens, Nicholas Wolf +17

We describe the Arizona-NOIRLab Temporal Analysis and Response to Events System (ANTARES), a software instrument designed to process large-scale streams of astronomical time-domain…

astro-ph.IM2018★ 97 cited

Machine Learning-based Brokers for Real-time Classification of the LSST Alert Stream

Gautham Narayan, Tayeb Zaidi, Monika D. Soraisam +20

The unprecedented volume and rate of transient events that will be discovered by the Large Synoptic Survey Telescope (LSST) demands that the astronomical community update its follo…

astro-ph.IM2016★ 17 cited

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

Abhijit Saha, Zhe Wang, Thomas Matheson +13

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 pr…

astro-ph.IM2014★ 17 cited

ANTARES: A Prototype Transient Broker System

Abhijit Saha, Thomas Matheson, Richard Snodgrass +5

The Arizona-NOAO Temporal Analysis and Response to Events System (ANTARES) is a joint project of the National Optical Astronomy Observatory and the Department of Computer Science a…