1.

Record Nr.

UNINA9910254595203321

Autore

Duffy Kirsty Elizabeth

Titolo

First Measurement of Neutrino and Antineutrino Oscillation at T2K / / by Kirsty Elizabeth Duffy

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017

ISBN

3-319-65040-8

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (XV, 172 p. 87 illus., 10 illus. in color.)

Collana

Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053

Disciplina

539.7215

Soggetti

Elementary particles (Physics)

Quantum field theory

String theory

Cosmology

Elementary Particles, Quantum Field Theory

Quantum Field Theories, String Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Neutrino Physics -- The T2K Experiment -- Bayesian Inference and the Markov Chain Monte Carlo Method -- Joint ν+ν¯ Oscillation Analysis: Framework and Validations -- Joint ν+ν¯ Oscillation Analysis: Results -- Conclusions and Outlook.

Sommario/riassunto

This thesis reports the measurement of muon neutrino and antineutrino disappearance and electron neutrino and antineutrino appearance in a muon neutrino and antineutrino beam using the T2K experiment. It describes a result in neutrino physics that is a pioneering indication of charge-parity (CP) violation in neutrino oscillation; the first to be obtained from a single experiment. Neutrinos are some of the most abundant—but elusive—particles in the universe, and may provide a promising place to look for a potential solution to the puzzle of matter/antimatter imbalance in the observable universe. It has been firmly established that neutrinos can change flavour (or ‘oscillate’), as recognised by the 2015 Nobel Prize. The theory of neutrino oscillation allows for neutrinos and antineutrinos to oscillate



differently (CP violation), and may provide insights into why our universe is matter-dominated. Bayesian statistical methods, including the Markov Chain Monte Carlo fitting technique, are used to simultaneously optimise several hundred systematic parameters describing detector, beam, and neutrino interaction uncertainties as well as the six oscillation parameters.