Development of a statistical analysis framework in the context of Muography applied to the industry
ABSTRACT: This work is framed in the context of a muography experiment, a safe, non-destructive testing technique allowing to study the internal properties of physical objects. This method is emerging in the industry, for instance, to study the degradation of industrial equipment such as pipes, furn...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad de Cantabria (UC) |
| Repositorio: | UCrea Repositorio Abierto de la Universidad de Cantabria |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.unican.es:10902/20122 |
| Acceso en línea: | http://hdl.handle.net/10902/20122 |
| Access Level: | acceso abierto |
| Palabra clave: | Cosmic muons Muography Statistics Geometry Scattering Likelihood Muones cósmicos Muografía Estadística Geometría Dispersión Verosimilitud |
| Sumario: | ABSTRACT: This work is framed in the context of a muography experiment, a safe, non-destructive testing technique allowing to study the internal properties of physical objects. This method is emerging in the industry, for instance, to study the degradation of industrial equipment such as pipes, furnaces or cauldrons. This project aims at developing a new framework that allows to perform a maximum likelihood estimation method on relevant geometrical parameters of such equipment, focusing on a particular case: gas pipes. In this context, a new C++ framework has been developed in order to i) recreate the geometry associated to the problem, ii) study the results of a muography experiment from a statistical point of view, and iii) define a coherent way to estimate the optimal geometry. In particular, once defined and fully tested, this framework allows us to determine the thickness of steel pipes with a precision of the order of 1 millimeter. |
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