9 research outputs found

    Probing Dual NSI and CP Violation in DUNE and T2HK

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    The latest results from the long baseline neutrino experiments show a hint of non-zero CP violation in the neutrino sector. In this article, we study the CP violation effects in the upcoming long-baseline neutrino experiments DUNE and T2HK. Non-standard interactions can affect the cleaner determination of CP violation parameter. It has been argued that the NSI can help alleviate the tension between the recent ÎŽCP\delta_{CP} measurements of NOÎœ\nuA and T2K experiments. We consider here the dual NSI due to Ï”eÎŒ\epsilon_{e\mu} and Ï”eτ\epsilon_{e\tau}, arising simultaneously to see the effects in neutrino oscillation probabilities. Moreover, the CP asymmetry parameter ACPA_{CP} exhibits a clear distinction between normal and inverted mass orderings in the DUNE experiment.Comment: 30 pages, 46 figures. arXiv admin note: text overlap with arXiv:2302.0959

    Exploring non standard interactions effects in T2HK and DUNE

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    Neutrino oscillations in matter offer a novel path to investigate new physics. One of the main goals of neutrino experiments is to determine the CP phase, and the presence of new physics can alter the scenario. We assume that the observed difference, if any, in the CP phase is due to the possible non-standard interactions. We derive the relevant coupling strengths using the results of NOÎœ\nu A and T2K and study their effects in the next generation of long-baseline experiments: T2HK and DUNE. Our analysis reveals a significant impact on the sensitivity of atmospheric mixing angle Ξ23\theta _{23} in the normal and inverted orderings. Furthermore, we observe discernible differences in probabilities for both experiments when non-standard interaction from e−Όe-\mu and e−τe-\tau sectors are included

    Integrated swarm intelligence and IoT for early and accurate remote voice-based pathology detection and water sound quality estimation

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    In smart city design, artificial intelligence, health optimization, and the Internet of medical things are crucial in developing machine learning-based medical data analytics. The two main components of this approach are the Internet of Things (IoT) and swarm intelligence integration on the use of the Internet of Medical Things. The analysis of human speech and audio signals plays a crucial role which indicates physical and psychological well-being. Selecting appropriate features is very important and can greatly impact the overall signal processing and computation when developing these models based on speech applications. In the audio signal processing field, many features are available in the time, frequency, and statistical domain, and selecting proper features is a tedious task. But after feature selection, the stability analysis of these techniques is also equally important. This study considers these two problems by applying swarm intelligence-based feature selection techniques with higher stability. The optimized selected features are used for remote detection of voice-based pathological diseases, environmental sound detection in smart cities, acoustic sound quality assessment in amusement parks, and its impact on human psychological health. The proposed feature selection techniques are observed to perform comprehensively better than the standard speech features-based models in terms of both performance and computational complexities

    The DUNE Far Detector Vertical Drift Technology, Technical Design Report

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    International audienceDUNE is an international experiment dedicated to addressing some of the questions at the forefront of particle physics and astrophysics, including the mystifying preponderance of matter over antimatter in the early universe. The dual-site experiment will employ an intense neutrino beam focused on a near and a far detector as it aims to determine the neutrino mass hierarchy and to make high-precision measurements of the PMNS matrix parameters, including the CP-violating phase. It will also stand ready to observe supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector implements liquid argon time-projection chamber (LArTPC) technology, and combines the many tens-of-kiloton fiducial mass necessary for rare event searches with the sub-centimeter spatial resolution required to image those events with high precision. The addition of a photon detection system enhances physics capabilities for all DUNE physics drivers and opens prospects for further physics explorations. Given its size, the far detector will be implemented as a set of modules, with LArTPC designs that differ from one another as newer technologies arise. In the vertical drift LArTPC design, a horizontal cathode bisects the detector, creating two stacked drift volumes in which ionization charges drift towards anodes at either the top or bottom. The anodes are composed of perforated PCB layers with conductive strips, enabling reconstruction in 3D. Light-trap-style photon detection modules are placed both on the cryostat's side walls and on the central cathode where they are optically powered. This Technical Design Report describes in detail the technical implementations of each subsystem of this LArTPC that, together with the other far detector modules and the near detector, will enable DUNE to achieve its physics goals

    The DUNE Far Detector Vertical Drift Technology, Technical Design Report

    No full text
    DUNE is an international experiment dedicated to addressing some of the questions at the forefront of particle physics and astrophysics, including the mystifying preponderance of matter over antimatter in the early universe. The dual-site experiment will employ an intense neutrino beam focused on a near and a far detector as it aims to determine the neutrino mass hierarchy and to make high-precision measurements of the PMNS matrix parameters, including the CP-violating phase. It will also stand ready to observe supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector implements liquid argon time-projection chamber (LArTPC) technology, and combines the many tens-of-kiloton fiducial mass necessary for rare event searches with the sub-centimeter spatial resolution required to image those events with high precision. The addition of a photon detection system enhances physics capabilities for all DUNE physics drivers and opens prospects for further physics explorations. Given its size, the far detector will be implemented as a set of modules, with LArTPC designs that differ from one another as newer technologies arise. In the vertical drift LArTPC design, a horizontal cathode bisects the detector, creating two stacked drift volumes in which ionization charges drift towards anodes at either the top or bottom. The anodes are composed of perforated PCB layers with conductive strips, enabling reconstruction in 3D. Light-trap-style photon detection modules are placed both on the cryostat's side walls and on the central cathode where they are optically powered. This Technical Design Report describes in detail the technical implementations of each subsystem of this LArTPC that, together with the other far detector modules and the near detector, will enable DUNE to achieve its physics goals

    The DUNE Far Detector Vertical Drift Technology, Technical Design Report