Bayesian analysis of Theta_13 in the Double-Chooz experiment

• Grant number: 14/13459-4
• Support type: Regular Research Grants
• Duration: December 01, 2014 - November 30, 2015
• Field of knowledge: Physical Sciences and Mathematics - Physics - Elementary Particle Physics and Fields
• Principal researcher: Pietro Chimenti
• Grantee: Pietro Chimenti
• Home Institution: Centro de Ciências Naturais e Humanas (CCNH). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil

Abstract

The discovery of neutrino masses and mixing is certainly one of the most important discoveries of the last years. The mixing angle proved to be sufficiently large to permit future measurements of the Charge-Parity (CP) asymmetry in the leptonic sector, possibly shading new light at the origin of matter in the universe. To achieve this it is necessary however to reduce the uncertainties on oscillation parameters already known (mass differences and mixing angles) at minimum. For this reason current disappearence experiments at nuclear reactors (like Double-Chooz), dedicated to the measurement of the theta_13 mixing angle, are now in a precision hase where published results will be considered as a reference for decades to go. This project aims at a precision analysis of the Double-Chooz data from a Bayesian unbinned (event-by-event) perspective, making the best use of available information. (AU)