Individual Outlier detection in LSST using SNAPS (Chernyavskaya)

Type: Talk
SessionSolar System Science
Author: Maria Chernyavskaya

Abstract: The Solar System Notification Alert Processing System (SNAPS) is a downstream broker for LSST that currently ingests asteroid observations from the Zwicky Transient Facility (ZTF). Our first data release SNAPShot1 presents measured and derived properties (lightcurve amplitude, rotation period, color, absolute magnitude, etc.) for ~30,000 asteroids. We have been consistently identifying a large number of individual outliers in this dataset. With the upcoming transition from ZTF to LSST data, it will be impractical and impossible to keep identifying individual outliers manually. As such, we are examining individual outliers to identify patterns and transition to an algorithmic identification pipeline. Amongst our outliers we have found super fast rotators; color, and magnitude changers.

Career Stage: 
Grad Student

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