Statistical tests in particle physics

Descripción del Articulo

Particle physics emerged as a pioneer discipline in "big science"; experiments are being carried out in accelerators that are increasing in energy and complexity by the collaborations of thousands of physicists from hundreds of institutes in a few dozen countries. In "big science"...

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Detalles Bibliográficos
Autor: Valenzuela, Mississippi
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:revistasinvestigacion.unmsm.edu.pe:article/23824
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/23824
Nivel de acceso:acceso abierto
Materia:Statistical test
likelihood function
probability distribution function
Prueba estadística
función de verosimilitud
función de distribución de probabilidad
Descripción
Sumario:Particle physics emerged as a pioneer discipline in "big science"; experiments are being carried out in accelerators that are increasing in energy and complexity by the collaborations of thousands of physicists from hundreds of institutes in a few dozen countries. In "big science" a research methodology has been developed in which statistics is of great importance to interpret the results obtained from these experiments. Despite the discovery of the Higgs boson in 2012, which contributed to the success of the Standard Model and the award of the 2013 Nobel Prize in Physics. Based on these motivations, in the present work certain statistical tests based on the “likelihood” method are shown and are applied in high energy physics in the discovery of new phenomena, by making use of the construction of confidence intervals of the model parameters. We focus on properties of methods called statistical “proofs” that allow systematic uncertainties to be included. Also, we work with explicit formulas for the asymptotic distributions of the statistical tests. In addition, we will use a representative data set, called the “Asimov” data set, which provides a method for obtaining the experimental sensitivity of a search or measurement, as well as the fluctuations in that expectation.
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