Improving the hierarchy sensitivity of ICAL using neural network Article Swipe

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Ali Ajmi , Abhish Dev , M. Nizam , N. Nayak , S. Uma Sankar ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.1088/1742-6596/888/1/012151

Atmospheric neutrino experiments can determine the neutrino mass hierarchy for any value of $δ_{CP}$. The Iron Calorimeter (ICAL) detector at the India-based Neutrino Observatory can distinguish between the charged current interactions of $ν_μ$ and $\barν_μ$ by determining the charge of the produced muon. Hence it is particularly well suited to determine the hierarchy. The hierarchy signature is more prominent in neutrinos with energy of a few GeV and with pathlength of a few thousand kilometers, $\textit{i.e.}$ neutrinos whose direction is not close to horizontal. We use adaptive neural networks to identify such events with good efficiency and good purity. The hierarchy sensitivity, calculated from these selected events, reaches a $3 σ$ level, with a $Δχ^2$ of 9.

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Neutrino Muon Physics Particle physics Calorimeter (particle physics) Hierarchy Sensitivity (control systems) Observatory Charged current Neutrino oscillation Bar (unit) Signature (topology) Nuclear physics Detector Astrophysics Mathematics Optics Geometry Engineering Meteorology Electronic engineering Market economy Economics

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1088/1742-6596/888/1/012151
PDF: https://iopscience.iop.org/article/10.1088/1742-6596/888/1/012151/pdf
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Cited By: 1
References: 27
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DOI: https://doi.org/10.1088/1742-6596/888/1/012151

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Title: Improving the hierarchy sensitivity of ICAL using neural network

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Type: preprint

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Language: en

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Publication year: 2017

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Publication date: 2017-09-01

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Authors: Ali Ajmi, Abhish Dev, M. Nizam, N. Nayak, S. Uma Sankar

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Landing page: https://doi.org/10.1088/1742-6596/888/1/012151

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Concepts: Neutrino, Muon, Physics, Particle physics, Calorimeter (particle physics), Hierarchy, Sensitivity (control systems), Observatory, Charged current, Neutrino oscillation, Bar (unit), Signature (topology), Nuclear physics, Detector, Astrophysics, Mathematics, Optics, Geometry, Engineering, Meteorology, Electronic engineering, Market economy, Economics

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Cited by: 1

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