Particle Physics Seminar

"A Bayesian Analysis of T2K's Data for the Measurement of Neutrino Oscillation Parameters"

Presented by Kevin Wood, Stony Brook University

Thursday, July 9, 2020, 3:00 pm — Webcast

T2K has been accumulating data corresponding to 3.6 × 10e21 POT over the past 10 years. It has been studying neutrino oscillations by observing a disappearance of muon flavored (anti)neutrinos and the appearance of electron flavored (anti)neutrinos. In particular, the collaboration has recently published the first substantial 3-sigma constraints on the CP-violating phase, δCP, in a Nature article. The results from this analysis have since been updated to include 33% more neutrino mode data and significant improvements to the neutrino interaction and flux models. This talk will present these new results and discuss some details of the Markov Chain Monte Carlo Bayesian analysis employed in order to extract measurements of the neutrino oscillation parameters from T2K's data.

Hosted by: Hanyu Wei

More Information

15811  |  INT/EXT  |  Events Calendar


Not all computers/devices will add this event to your calendar automatically.

A calendar event file named "calendar.ics" will be placed in your downloads location. Depending on how your device/computer is configured, you may have to locate this file and double click on it to add the event to your calendar.

Event dates, times, and locations are subject to change. Event details will not be updated automatically once you add this event to your own calendar. Check the Lab's Events Calendar to ensure that you have the latest event information.