246 citations · 1.1k across the 15 of their papers we have counts for
16 papers
Nearby Supernova Science in the Era of High Cadence, Deep Time Domain Surveys
David J. Sand, Bhagya Subrayan, Conor L. Ransome +41
We discuss science opportunities for nearby supernovae (SNe) in the era of the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), emphasizing the youngest phases o…
How Low Can We Go? Minimum Spectroscopic Requirements For Supernova Subtype Classification
Willow Fox Fortino, Federica B. Bianco, Maryam Modjaz +2
Millions of supernovae will be discovered with the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). As a result, spectrographs around the world will have to make d…
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…
First Results from the LSST Shadow Survey: The Restless Luminous Blue Variable AT2017des in the Virgo-Cluster Galaxy, NGC4532
Conor L. Ransome, Bhagya M. Subrayan, David J. Sand +66
The Legacy Survey of Space and Time (LSST) will start in late-summer 2026, revolutionizing transient astronomy. Here, we present the Dark Energy Camera (DECam) Shadow Survey, which…
DECam Multi-Messenger Astrophysics Pipeline. I. from Raw Data to Single-Exposure Candidates
Shenming Fu, Thomas Matheson, Aaron Meisner +3
We introduce a pipeline that performs rapid image subtraction and source selection to detect transients, with a focus on identifying gravitational wave optical counterparts using t…
Anomaly Detection and Approximate Similarity Searches of Transients in Real-time Data Streams
P. D. Aleo, A. W. Engel, G. Narayan +29
We present LAISS (Lightcurve Anomaly Identification and Similarity Search), an automated pipeline to detect anomalous astrophysical transients in real-time data streams. We deploy…