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SUMMARY:Michael Dolce\, "Progress of a NOvA Near Detector fit with MCMC: o
n the path towards a ND + FD joint fit with Markov Chain Monte Carlo"
DTSTART;VALUE=DATE-TIME:20221117T200000Z
DTEND;VALUE=DATE-TIME:20221117T210000Z
DTSTAMP;VALUE=DATE-TIME:20231128T201800Z
UID:indico-event-17716@indico.bnl.gov
DESCRIPTION:Abstract: NOvA is a neutrino oscillation experiment designed
to measure and constrain several of the oscillation parameters of the PMN
S matrix (\\Delta M_{32}^{2}\, \\theta_{23}\, and \\delta_{CP}). The tradi
tional NOvA analysis methodology is to measure the oscillation parameters
through an “extrapolation” procedure where the Near Detector (ND) data
-MC discrepancy serves as a correction to the Far Detector (FD) MC. This t
alk introduces a novel means of measuring the oscillation parameters and c
onstraining the NOvA uncertainty model by simultaneously fitting the ND an
d FD simulation with the Bayesian inference tool Markov Chain Monte Carlo
(MCMC). With this methodology\, the power of constraining the NOvA uncerta
inties stems from the statistical strength of the ND dataset. This talk wi
ll focus on the developments made to perform an effective ND fit to NOvA d
ata\, while also highlighting an improved understanding of NOvA’s ND MC
simulation. At the end\, I will discuss the ongoing work to develop machin
ery and incorporate FD MC for a simultaneous ND + FD joint fit.\n\nhttps:/
/indico.bnl.gov/event/17716/
LOCATION:Small Seminar Room
URL:https://indico.bnl.gov/event/17716/
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