108 citations · 183 across the 7 of their papers we have counts for
9 papers
The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression
Tarek Allam, Julien Peloton, Jason D. McEwen
A new golden age in astronomy is upon us, dominated by data. Large astronomical surveys are broadcasting unprecedented rates of information, demanding machine learning as a critica…
Control of Electrochemical Corrosion Properties by Influencing Mn Partitioning through Intercritically Annealing of Medium-Mn Steel
René Daniel Pütz, Tarek Allam, Junmiao Wang +5
Medium-Mn steels exhibit excellent mechanical properties and lower production costs compared to high-Mn steels, which makes them a potential material for future application in the…
Considerations for optimizing photometric classification of supernovae from the Rubin Observatory
Catarina S. Alves, Hiranya V. Peiris, Michelle Lochner +3
The Vera C. Rubin Observatory will increase the number of observed supernovae (SNe) by an order of magnitude; however, it is impossible to spectroscopically confirm the class for a…
Paying Attention to Astronomical Transients: Introducing the Time-series Transformer for Photometric Classification
Tarek Allam, Jason D. McEwen
Future surveys such as the Legacy Survey of Space and Time (LSST) of the Vera C. Rubin Observatory will observe an order of magnitude more astrophysical transient events than any p…
Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)
R. Hložek, K. A. Ponder, A. I. Malz +19
Next-generation surveys like the Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory will generate orders of magnitude more discoveries of transients and variab…
Fink, a new generation of broker for the LSST community
Anais Möller, Julien Peloton, Emille E. O. Ishida +33
Fink is a broker designed to enable science with large time-domain alert streams such as the one from the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST).…