Extraction of Neutrino Oscillation Parameters using a Simultaneous Fit of $$\nu_{\mu}$$ Disappearance and $$\nu_{e}$$ Appearance data with the NOvA Experiment
- Delhi U.
This thesis presents the analyses and results of the $$\nu_{\mu} \rightarrow \nu_{\mu}$$ disappearance and $$\nu_{\mu} \rightarrow \nu_{e}$$ appearance due to neutrino oscillations using 8.85 $$\times$$ 10$$^{20}$$ protons on target (POT) equivalent of data collected by the NOvA experiment. The data analyzed in this thesis was collected from February 06, 2014 to February 20, 2017. NOvA is an accelerator-based, long-baseline neutrino oscillation experiment and uses the two detector set-up to study the phenomenon of neutrino oscillation using a beam of muon neutrinos produced at Fermilab. One NOvA detector is placed within the Fermilab campus, 100 m underground, at a distance of 1 km from the neutrino source and is called the Near Detector (ND). The ND is 300 ton in mass and smaller in size than the Far Detector (FD) which is 14 kton in mass and is placed 810 km away from the neutrino source in Ash River, Minnesota (MN). Both ND and FD are made of the same material and are functionally identical. The ND being closer to the neutrino source, analyzes the neutrino beam before the neutrinos oscillate and the FD analyzes the neutrinos after oscillations. The ND is used to predict the signal and background expectations in the FD. The similarity in the ND and FD help to reduce the systematic uncertainties in the FD prediction. The combined oscillation fit to the $$\nu_{\mu} \rightarrow \nu_{\mu}$$ disappearance and $$\nu_{\mu} \rightarrow \nu_{e}$$ appearance gives the best fit values of the $$\Delta m^{2}_{32}$$, $$\sin^{2}{\theta_{32}}$$ and $$\delta_{CP}$$ oscillation parameters and are presented in this thesis.
- Research Organization:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- DOE Contract Number:
- AC02-07CH11359
- OSTI ID:
- 1764076
- Report Number(s):
- FERMILAB-THESIS-2019-21; oai:inspirehep.net:1840160
- Country of Publication:
- United States
- Language:
- English
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