activity
20082018
most citedMachine Learning-based Brokers for Real-time Classification of the LSST Alert Stream

97 citations · 301 across the 28 of their papers we have counts for

collaborators

30 papers

astro-ph.EP2018★ 1 cited

A near-Sun Solar System Twilight Survey with LSST

Rob Seaman, Paul Abell, Eric Christensen +9

We propose a LSST Solar System near-Sun Survey, to be implemented during twilight hours, that extends the seasonal reach of LSST to its maximum as fresh sky is uncovered at about 5…

astro-ph.IM2018

Timekeeping infrastructure for the Catalina Sky Survey

Robert L. Seaman, Alex R. Gibbs

Time domain science forms an increasing fraction of astronomical programs at many facilities. Synoptic and targeted observing modes of transient, varying, and moving sources rely o…

astro-ph.EP2018★ 19 cited

Large Synoptic Survey Telescope Solar System Science Roadmap

Megan E. Schwamb, R. Lynne Jones, Steven R. Chesley +18

The Large Synoptic Survey Telescope (LSST) is uniquely equipped to search for Solar System bodies due to its unprecedented combination of depth and wide field coverage. Over a ten-…

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.IM2015

The NOAO KOSMOS Data Handling System

Rob Seaman

KOSMOS and COSMOS are twin high-efficiency imaging spectrographs that have been deployed as NOAO facility instruments for the Mayall 4-meter telescope on Kitt Peak in Arizona and f…