Bayesian statistical inference of airglow profiles from rocket observational data - Comparison with conventional methods

Computer Science – Performance

Scientific paper

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Airglow, Bayes Theorem, Rocket-Borne Instruments, Statistical Analysis, Field Of View, Random Noise

Scientific paper

It is crucial for the airglow investigation to infer an altitude profile of the volume emission rate from the column emission rates observed by using a spacecraft. A new inference procedure based on the Bayesian statistics was proposed and it was applied to the analyses of the rocket airglow data. In this paper, its high performance is demonstrated in comparison with some conventional methods. The procedure has two major advantages: one is the use of statistical criteria to infer the most likely model of the volume emission rates, and the other is high efficiency to eliminate a periodic modulation.

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