High precision meteor observations with the Canadian Automated Meteor Observatory -- Data reduction pipeline and application to meteoroid mechanical strength measurements
Denis Vida, Peter G. Brown, Margaret Campbell-Brown, Robert J. Weryk,, Gunter Stober, John P. McCormack

TL;DR
This paper details the upgraded data reduction pipeline of the Canadian Automated Meteor Observatory, analyzes meteor morphology's impact on measurement accuracy, and uses fragmentation observations to estimate meteoroid mechanical strengths.
Contribution
It introduces an improved hardware and data processing pipeline and applies it to measure meteoroid strengths through fragmentation analysis.
Findings
Meteor trajectory accuracy varies with morphology.
Measured meteoroid strengths range from 1-4 kPa.
Fragmentation type is independent of orbit.
Abstract
Context. The mirror tracking system of the Canadian Automated Meteor Observatory (CAMO) can track meteors in real time, providing an effective angular resolution of 1 arc second and a temporal resolution of 100 frames per second. Aims. We describe the upgraded hardware and give details of the data calibration and reduction pipeline. We investigate the influence of meteor morphology on radiant and velocity measurement precision, and use direct observations of meteoroid fragmentation to constrain their compressive strengths. Methods. On July 21, 2017, CAMO observed a ~4 second meteor on a JFC orbit. It had a shallow entry angle ~8 deg and 12 fragments were visible in the narrow-field video. The event was manually reduced and the exact moment of fragmentation was determined. The aerodynamic ram pressure at the moment of fragmentation was used as a proxy for compressive strength, and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
