A meteor cluster detection algorithm (original) (raw)

Abstract

We present an algorithm to identify groups of meteors within all-sky meteor network observations that are clustered in radiant, velocity, and time. These meteor clusters may reveal new minor meteor showers or uncover false negatives for known shower association. Sporadic meteoroid sources and established meteor showers exhibiting spatiotemporal proximity to identified clusters are reported by the algorithm for end-user reference, as well as the orbital similarity of cluster members quantified using the Drummond D-criterion. This algorithm will be integrated into the existing data-processing pipeline at the NASA Meteoroid Environments Office to alert staff in near-real time of clustered meteor events.

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