67 citations · 121 across the 17 of their papers we have counts for
7 papers · 1 filter
GOATS: The next generation software infrastructure for time-domain astronomy at Gemini/NOIRLab. Application to alerts from Vera C. Rubin Observatory's Legacy Survey of Space and Time
Monika Soraisam, Louis Avner, Miguel Gómez +38
Time-domain and multimessenger astronomy (MMA/TDA) targets demand rapid-response follow-up observations. In many cases, it is the only way to make discoveries and advance our under…
Windows on the Universe: Establishing the Infrastructure for a Collaborative Multi-messenger Ecosystem
The 2023 Windows on the Universe Workshop White Paper Working Group, T. Ahumada, J. E. Andrews +43
In this White Paper, we present recommendations for the scientific community and funding agencies to foster the infrastructure for a collaborative multi-messenger and time-domain a…
DRAGONS -- A Quick Overview
Kathleen Labrie, Chris Simpson, Ricardo Cardenes +10
DRAGONS (Data Reduction for Astronomy from Gemini Observatory North and South) is a platform for the reduction and processing of astronomical data. The Python-based, open-source pa…
Deep Drilling in the Time Domain with DECam: Survey Characterization
Melissa L. Graham, Robert A. Knop, Thomas Kennedy +41
This paper presents a new optical imaging survey of four deep drilling fields (DDFs), two Galactic and two extragalactic, with the Dark Energy Camera (DECam) on the 4 meter Blanco…
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…
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…