A 2022 $\tau$-Herculid meteor cluster from an airborne experiment: automated detection, characterization, and consequences for meteoroids
J. Vaubaillon, C. Loir, C. Ciocan, M. Kandeepan, M. Millet, A., Cassagne, L. Lacassagne, P. Da Fonseca, F. Zander, D. Buttsworth, S. Loehle,, J. Toth, S. Gray, A. Moingeon, and N. Rambaux

TL;DR
This study reports the detection and analysis of a meteor cluster from the 2022 τ-Herculid shower using airborne observations and automated computer vision, revealing insights into meteoroid fragmentation and cluster frequency.
Contribution
First to use airborne, automated detection to characterize a τ-Herculid meteor cluster, demonstrating the effectiveness of a new computer-vision processing chain for real-time meteor detection.
Findings
Detected a meteor cluster with 38 fragments lasting 11.3 seconds.
The size distribution index of the cluster is 3.1.
Estimated meteor cluster occurrence is less than one per million observed meteors.
Abstract
Context. The existence of meteor clusters has long since been a subject of speculation and so far only seven events have been reported, among which two involve less than five meteors, and three were seen during the Leonid storms. Aims. The 1995 outburst of Comet 73P/Schwassmann-Wachmann was predicted to result in a meteor shower in May 2022. We detected the shower, proved this to be the result of this outburst, and detected another meteor cluster during the same observation mission. Methods. The {\tau}-Herculids meteor shower outburst on 31 May 2022 was continuously monitored for 4 hours during an airborne campaign. The video data were analyzed using a recently developed computer-vision processing chain for meteor real-time detection. Results. We report and characterize the detection of a meteor cluster involving 38 fragments, detected at 06:48 UT for a total duration of 11.3 s. The…
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Taxonomy
TopicsAstro and Planetary Science · Solar and Space Plasma Dynamics · Isotope Analysis in Ecology
