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U.S. Department of Energy

Publications


Measurement of the Neutrino mixing angle θ23

FERMILAB-PUB-17-019-ND

April 2017


This Letter reports new results on muon neutrino disappearance from NOvA, using a 14 kton detector equivalent exposure 6.05 x 1020 protons on target from the NuMI beam at the Fermi National Accelerator Laboratory. The measurement probes the muon-tau symettry hypothesis that requires maximal θ23 mixing (θ23 = π/4). Assuming the normal mass hierarchy, we find Δm223 = (2.67 +- 0.11) x 10-3 eV2 and sin2θ23 at the two statistically degenerate values 0.404+0.030-0.022 and 0.624+0.022-0.030, both at the 68% confidence level. Our data disfavor the maximal mixing scenario with 2.6σ significance.

[ PRL ]   [ arXiv ]   [ inSPIRE ]



First measurement of muon-neutrino disappearance in NOvA

FERMILAB-PUB-16-007-ND

March 2016


This paper reports the first measurement using the NOvA detectors of νμ disappearance in a νμ beam. The analysis uses a 14 kton-equivalent exposure of 2.74×1020 protons-on-target from the Fermilab NuMI beam. Assuming the normal neutrino mass hierarchy, we measure Δm232=(2.52+0.20-0.18)×10−3 eV2 and sin2θ23 in the range 0.38-0.65, both at the 68% confidence level, with two statistically-degenerate best fit points at sin2θ23= 0.43 and 0.60. Results for the inverted mass hierarchy are also presented.

[ PRL ]   [ arXiv ]   [ inSPIRE ]



First measurement of electron neutrino appearance in NOvA

FERMILAB-PUB-15-262-ND

April 2016


We report results from the first search for νμ→νe transitions by the NOvA experiment. In an exposure equivalent to 2.74×1020 protons-on-target in the upgraded NuMI beam at Fermilab, we observe 6 events in the Far Detector, compared to a background expectation of 0.99±0.11 (syst.) events based on the Near Detector measurement. A secondary analysis observes 11 events with a background of 1.07±0.14 (syst.). The 3.3σ excess of events observed in the primary analysis disfavors 0.1π < δCP < 0.5π in the inverted mass hierarchy at the 90% C.L.

[ PRL ]   [ arXiv ]   [ inSPIRE ]   [ Results tables: LEM, LID ]



PVC Extrusion Development and Production for the NOvA Neutrino Experiment

FERMILAB-PUB-15-049-ND-PPD

January 2016


We have produced large and highly-reflective open-cell PVC extrusions for the NOvA neutrino oscillation experiment. The extrusions were sealed, instrumented, assembled into self-supporting detector blocks, and filled with liquid scintillator. Each Far Detector block stands 15.7 m high, is 15.7 m wide and 2.1 m thick. More than 22,000 extrusions were produced with high dimensional tolerance and robust mechanical strength. This paper provides an overview of the NOvA Far Detector, describes the preparation of the custom PVC powder, and the making of the extrusions. Quality control was a key element in the production and is described in detail.

[ arXiv ]   [ inSPIRE ]



Liquid scintillator production for the NOvA experiment

NUCLEAR INSTRUMENTS AND METHODS A799 (2015) 1-9

November 2015


The NOvA collaboration blended and delivered 8.8 kt (2.72M gal) of liquid scintillator as the active detector medium to its near and far detectors. The composition of this scintillator was specifically developed to satisfy NOvA׳s performance requirements. A rigorous set of quality control procedures was put in place to verify that the incoming components and the blended scintillator met these requirements. The scintillator was blended commercially in Hammond, IN. The scintillator was shipped to the NOvA detectors using dedicated stainless steel tanker trailers cleaned to food grade.

[ arXiv ]   [ inSPIRE ]   [ Article ]


Library Event Matching event classification algorithm for electron neutrino interactions in the NOvA detectors

NUCLEAR INSTRUMENTS AND METHODS A778 (2015) 31-39

January 2015


We describe the Library Event Matching classification algorithm implemented for use in the NOvA νμ→νe oscillation measurement. Library Event Matching, developed in a different form by the earlier MINOS experiment, is a powerful approach in which input trial events are compared to a large library of simulated events to find those that best match the input event. A key feature of the algorithm is that the comparisons are based on all the information available in the event, as opposed to higher-level derived quantities. The final event classifier is formed by examining the details of the best-matched library events. We discuss the concept, definition, optimization, and broader applications of the algorithm as implemented here. Library Event Matching is well-suited to the monolithic, segmented detectors of NOvA and thus provides a powerful technique for event discrimination.

[ arXiv ]   [ inSPIRE ]   [ Article ]




Last modified: 04/10/2017 |