Bayesian Fit for the NOvA Three Flavor Oscillation Analysis

18 Jun 2024, 17:30
2h
Near Aula Magna (U6 building) (University of Milano-Bicocca)

Near Aula Magna (U6 building)

University of Milano-Bicocca

Piazza dell’Ateneo Nuovo 1, Milano, 20126
Poster Neutrino oscillations Poster session and reception 1

Speakers

Ben Jargowsky (University Of California, Irvine) Liudmila Kolupaeva

Description

NOvA is a long baseline neutrino oscillation experiment, using Fermilab's NuMI beam and a functionally identical near and far detector. NOvA measures muon neutrino disappearance and electron neutrino appearance to probe neutrino oscillation parameters, including the large neutrino mixing angle, the mass ordering, and the CP-violating phase. NOvA has developed a Bayesian analysis in addition to its Frequentist analysis, using Markov Chain Monte Carlo. This Bayesian framework allows for measurements previously difficult to make with the Frequentist framework, such as the Jarlskog invariant and the reactor mixing angle. The details and status of the Bayesian Framework will be presented, as well as latest NOvA results on measurements of three-flavor oscillation parameters.

Poster prize Yes
Given name Ben
Surname Jargowsky
First affiliation University of California, Irvine
Institutional email bjargows@uci.edu
Gender Male
Collaboration (if any) NOvA

Primary authors

Ben Jargowsky (University Of California, Irvine) Liudmila Kolupaeva

Presentation materials