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NEural Engine for Discovering Luminous Events (NEEDLE): identifying rare transient candidates in real time from host galaxy images
Xinyue Sheng, Matt Nicholl, Ken W. Smith +6
Known for their efficiency in analyzing large data sets, machine learning classifiers are widely used in wide-field sky surveys. The upcoming Vera C. Rubin Observatory Legacy of Ti…
: An Accurate Photometric Classifier for Tidal Disruption Events
Robert Stein, Ashish Mahabal, Simeon Reusch +12
Optical surveys have become increasingly adept at identifying candidate Tidal Disruption Events (TDEs) in large numbers, but classifying these generally requires extensive spectros…
Using 4MOST to refine the measurement of galaxy properties: A case study of Supernova hosts
J. Dumayne, I. M. Hook, S. C. Williams +10
The Rubin Observatory's 10-year Legacy Survey of Space and Time will observe near to 20 billion galaxies. For each galaxy the properties can be inferred. Approximately galax…
How Many Kilonovae Can Be Found in Past, Present, and Future Survey Datasets?
D. Scolnic, R. Kessler, D. Brout +83
The discovery of a kilonova (KN) associated with the Advanced LIGO (aLIGO)/Virgo event GW170817 opens up new avenues of multi-messenger astrophysics. Here, using realistic simulati…
MOSFiT: Modular Open-Source Fitter for Transients
James Guillochon, Matt Nicholl, V. Ashley Villar +5
Much of the progress made in time-domain astronomy is accomplished by relating observational multi-wavelength time series data to models derived from our understanding of physical…
Enabling New ALMA Science with Improved Support for Time-Domain Observations
Kate D. Alexander, Edo Berger, Geoff Bower +34
While the Atacama Large Millimeter/submillimeter Array (ALMA) is a uniquely powerful telescope, its impact in certain fields of astrophysics has been limited by observatory policie…