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Article Dans Une Revue European Journal of Physics Année : 2020

High-altitude free fall and parameter estimation for undergraduate numerical techniques laboratory.

Résumé

In this article, we present the development and treatment of an inverse problem applied to data from the Felix Baumgartner stratospheric jump. This jump is well documented with a lot of data. Therefore, it makes a particularly well-suited example for teaching in a numerical techniques laboratory. The major aim of the article is to give guidelines in order to construct a simple, but not simplistic, inverse problem with real data for junior undergraduate students. Students should master classical mechanics and have some skills in numerical modelling. We use the programming language Python and various libraries in order to build a model and solve the entire problem. This programming language is increasingly used and understood by students, which allows them to focus on the physical and numerical aspects of the involved problem. The fairly new strategy presented in this article is an attempt to estimate the angle of attack from acceleration measurements, and to give an uncertainty estimation of Baumgartner’s free-fall speed.
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Dates et versions

hal-03015626 , version 1 (19-11-2020)

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Francois Lehmann. High-altitude free fall and parameter estimation for undergraduate numerical techniques laboratory.. European Journal of Physics, 2020, 41 (5), pp.055803. ⟨10.1088/1361-6404/ab9dc4⟩. ⟨hal-03015626⟩
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