The Solar System Notification Alert Processing System (SNAPS): Asteroid Population Outlier Detection
The Astronomical Journal(2024)
摘要
The Solar System Notification Alert Processing System (SNAPS) is a ZTF and
Rubin Observatory alert broker that will send alerts to the community regarding
interesting events in the Solar System. SNAPS is actively monitoring Solar
System objects and one of its functions is to compare objects (primarily main
belt asteroids) to one another to find those that are outliers relative to the
population. In this paper, we use the SNAPShot1 dataset which contains 31,693
objects from ZTF and derive outlier scores for each of these objects. SNAPS
employs an unsupervised approach; consequently, to derive outlier rankings for
each object, we propose four different outlier metrics such that we can explore
variants of outlier scores and add confidence to outlier rankings. We also
provide outlier scores for each object in each permutation of 15 feature
spaces, between 2 and 15 features, which yields 32,752 total feature spaces. We
show that we can derive population outlier rankings each month at Rubin
Observatory scale using four Nvidia A100 GPUs, and present several avenues of
scientific investigation that can be explored using population outlier
detection.
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关键词
Asteroids,Small solar system bodies,Sky surveys,Astroinformatics,GPU computing
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