The Extended LSST Astronomical Time-Series Classification Challenge (ELAsTiCC)
This session will cover the simulations behind, and the first results from, the Dark Energy Science Collaboration's Extended LSST Astronomical Time-Series Classification Challenge (ELAsTiCC), an open data challenge to classify simulated astronomical events from time-series data in preparation for the LSST. Rather than releasing complete light curves like its predecessory PLAsTiCC, ELAsTiCC uses simulated 'alerts' (packets of information per detected object that will be released in real-time by Rubin Observatory), delivered to the in-development alert brokers, to better mimic the future rate, volume, and complexity of the LSST prompt data products. Significant effort has also been devoted to incorporating realistic contextual information into synthetic alerts. All are welcome to attend. To volunteer to present in this session, please contact the session chair(s).
Please enter the agenda item in the “Subject” field, choose your file, and click save.
Mon, 08/08/2022 - 11:09
Melissa Graham: Alert Contents
Mon, 08/08/2022 - 21:45
Richard Kessler: ELAsTiCC Sims
Mon, 08/08/2022 - 21:46
Anais Möller: Broker Design and Science Goals
Mon, 08/08/2022 - 21:48
Alex & Alex: ELAsTiCC Session Introduction