PHY Research Publications (from 2011)
The Department of Mathematics and Statistics and the Department of Physics have merged into the Department of Mathematics, Statistics, and Physics in summer 2011. This collection includes publication dated 2011-. For previous years, look at the Department of Physics collection in SOAR
Recent Submissions
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Qutrit-inspired fully self-supervised shallow quantum learning network for brain tumor segmentation
(Institute of Electrical and Electronics Engineers, 2021-05-13)Classical self-supervised networks suffer from convergence problems and reduced segmentation accuracy due to forceful termination. Qubits or bilevel quantum bits often describe quantum neural network models. In this article, ... -
Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE collaboration
(Springer Nature, 2021-04-16)The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a ... -
Development, thermal and dielectric investigations of $PVDF-Y_2O_3$ polymer nanocomposite films
(Springer, 2021-04-03)This work involves preparing $PVDF-Y_2O_3$ polymer nanocomposites to improve thermal and dielectric properties. X-ray diffraction, SEM, FTIR, TGA and dielectric measurements were applied for these films. The cubic crystal ... -
Adjusting neutrino interaction models and evaluating uncertainties using NOvA near detector data
(EDP Sciences, 2020-12-04)The two-detector design of the NOvA neutrino oscillation experiment, in which two functionally identical detectors are exposed to an intense neutrino beam, aids in canceling leading order effects of cross-section uncertainties. ... -
Neutrino interaction classification with a convolutional neural network in the DUNE far detector
(American Physical Society, 2020-11-09)The Deep Underground Neutrino Experiment is a next-generation neutrino oscillation experiment that aims to measure CP-violation in the neutrino sector as part of a wider physics program. A deep learning approach based on ... -
Search for slow magnetic monopoles with the NOvA detector on the surface
(American Physical Society, 2021-01-11)We report a search for a magnetic monopole component of the cosmic-ray flux in a 95-day exposure of the NOvA experiment's Far Detector, a 14 kt segmented liquid scintillator detector designed primarily to observe GeV-scale ... -
Long-baseline neutrino oscillation physics potential of the DUNE experiment: DUNE Collaboration
(Springer, 2020-10-22)The sensitivity of the Deep Underground Neutrino Experiment (DUNE) to neutrino oscillation is determined, based on a full simulation, reconstruction, and event selection of the far detector and a full simulation and ... -
Experimental pairwise entanglement estimation for an N-qubit system: a machine learning approach for programming quantum hardware
(Springer, 2020-11-03)Designing and implementing algorithms for medium- and large-scale quantum computers is not easy. In the previous work, we have suggested, and developed, the idea of using machine learning techniques to train a quantum ... -
Supernova neutrino detection in NOvA
(IOP Publishing Ltd, 2020-10-05)The NOvA long-baseline neutrino experiment uses a pair of large, segmented, liquid-scintillator calorimeters to study neutrino oscillations, using GeV-scale neutrinos from the Fermilab NuMI beam. These detectors are also ... -
Measurement of neutrino-induced neutral-current coherent $π^0$ production in the NOvA near detector
(American Physical Society, 2020-07-09)The cross section of neutrino-induced neutral-current coherent $\pi^0$ production on a carbon-dominated target is measured in the NOvA near detector. This measurement uses a narrow-band neutrino beam with an average neutrino ... -
Quantum machine learning: Preface
(De Gruyter, 2020-06-08)Imparting intelligence to the machines has always been a challenging thoroughfare. Over the years, several intelligent tools have been invented or proposed to deal with the uncertainties encountered by human beings with ... -
Search for multimessenger signals in NOvA coincident with LIGO/Virgo detections
(American Physical Society, 2020-06-22)Using the NOvA neutrino detectors, a broad search has been performed for any signal coincident with 28 gravitational wave events detected by the LIGO/Virgo Collaboration between September 2015 and July 2019. For all of ... -
Observation of seasonal variation of atmospheric multiple-muon events in the NOvA Near Detector
(American Physical Society, 2019-06-28)Using two years of data from the NOvA Near Detector at Fermilab, we report a seasonal variation of cosmic ray induced multiple-muon $(N\mu\ge2)$ event rates which has an opposite phase to the seasonal variation in the ... -
Increased CO2 hydrogenation to liquid products using promoted iron catalysts
(Elsevier, 2019-01)The effect of alkali promoter (K, Rb and Cs) on the performance of precipitated iron-based catalysts was investigated for carbon dioxide (CO2) hydrogenation. Characterization by temperature-programmed reduction with CO, ... -
Chapter 1 -- Quantum neural computation of entanglement is robust to noise and decoherence
(Elsevier, 2017)Measurement and witnesses of entanglement remain an important issue in quantum computing. Most witnesses will work for only a very restricted class of states, while measurements commonly require lengthy procedures. Quantum ... -
Hydrogenation of carbon dioxide over iron carbide prepared from alkali metal promoted iron oxalate
(Elsevier, 2018-08-25)Iron carbide was prepared by the carburization of iron oxalate doped with various alkali metals in flowing CO at 400 degrees C. The addition of alkali metal (Li, Na, K, Rb or Cs) to iron oxalate was found to decrease the ... -
New constraints on oscillation parameters from $ν_e$ appearance and $ν_μ$ disappearance in the NOvA experiment
(American Physical Society, 2018-08-24)We present updated results from the NOvA experiment for $\nu_\mu\rightarrow\nu_\mu$ and $\nu_\mu\rightarrow\nu_e$ oscillations from an exposure of $8.85\times10^{20}$ protons on target, which represents an increase of 46% ... -
Fischer-Tropsch synthesis: Effect of CO conversion on CH4 and oxygenate selectivities over precipitated Fe-K catalysts
(Elsevier, 2018-06-25)The explanation for CH4 selectivity for iron based Fischer-Tropsch catalysts in the low conversion region (Le., < 50%) remains elusive. In this contribution, the CO conversion effect was carefully examined over four K ... -
Effect of gallium additions on reduction, carburization and Fischer-Tropsch activity of iron catalysts
(Springer US, 2018-07)Undoped and gallium-doped iron oxide catalysts (100Fe, 100Fe:2Ga, and 100Fe:5Ga) were prepared by following a continuous co-precipitation technique using ammonium hydroxide as precipitant. The catalysts were characterized ... -
Biologically motivated quantum neural networks
(IEEE, 2017)This paper presents one step toward creating the building blocks for machine intelligence that is inspired by its biological equivalent. The authors' quantum learning methods (deep quantum learning) are applied to quantum ...
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