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DIGITAL.CSIC
Doctoral thesis . 2011 . Peer-reviewed
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Experimental studies of neutrino nature: from K2K to SuperNEMO

Authors: Novella, Pau;

Experimental studies of neutrino nature: from K2K to SuperNEMO

Abstract

El objetivo de este trabajo es estudiar desde un punto de vista experimental dos aspectos fundamentales de la naturaleza de los neutrinos, el fenómeno de las oscilaciones y su masa, centrándose en los experimentos en los que el grupo del IFIC (CSIC-UVEG) liderado por JJ Gómez-Cadenas, ha participado en los últimos 5 años. La física que estudia las propiedades de los neutrinos puede ser dividida en dos campos bien diferenciados: el de los experimentos de oscilación y el de los experimentos que tratan de medir la masa absoluta del neutrino. En cuanto a las oscilaciones de neutrinos, se describe en este documento el experimento K2K, que publicó en 2006 una fuerte evidencia de oscilación de neutrinos muónicos, y la aportación del experimento HARP al análisis de K2K. Por otra parte, en relación con el estudio de la naturaleza de la masa de los neutrinos, el presente documento se centra en el existoso experimento de desintegración doble beta sin emisión de neutrinos (bb0nu) NEMO-3, y en el proyecto llamado SuperNEMO.

297 páginas. Tesis Doctoral del Departamento de Física Atómica,Molecular y Nuclear de la Universidad de Valencia, y el Instituto de Física Corpuscular (IFIC). Fecha de lectura: 06-12-2009

Peer reviewed

Country
Spain
Related Organizations
Keywords

Partículas elementales, Desintegración nuclear, Física de partículas

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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