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We present the results of a global analysis of the neutrino oscillation data available as of fall 2018 in the framework of three massive mixed neutrinos with the goal at determining the ranges of allowed values for the six relevant…

High Energy Physics - Phenomenology · Physics 2019-02-19 Ivan Esteban , M. C. Gonzalez-Garcia , Alvaro Hernandez-Cabezudo , Michele Maltoni , Thomas Schwetz

The lower and upper bounds on the neutrinoless double beta (0nu-2beta) decay rate are obtained, as functions of the parameters of neutrino oscillations and of the lightest neutrino mass. The constraints on these parameters from the search…

High Energy Physics - Phenomenology · Physics 2009-10-31 Francesco Vissani

In this paper we define a discrete dynamical system that governs the evolution of a population of agents. From the dynamical system, a variant of Differential Evolution is derived. It is then demonstrated that, under some assumptions on the…

Computational Engineering, Finance, and Science · Computer Science 2016-11-17 Massimiliano Vasile , Edmondo Minisci , Marco Locatelli

We present approximative solutions to the neutrino evolution equation calculated by different methods. In a two neutrino framework, using the physical parameters which gives the main effects to neutrino oscillations from nu{e} to another…

High Energy Physics - Phenomenology · Physics 2008-11-26 Verissimo M. de Aquino , J. S. S. de Oliveira

Constraints on the core temperature (T_c) of the Sun and on neutrino- oscillation parameters are obtained from the existing solar neutrino data, including the recent GALLEX and Kamiokande III results. (1) A purely astrophysical solution to…

High Energy Physics - Phenomenology · Physics 2009-04-13 S. A. Bludman , N. Hata , D. C. Kennedy , P. G. Langacker

Dynamic optimisation occurs in a variety of real-world problems. To tackle these problems, evolutionary algorithms have been extensively used due to their effectiveness and minimum design effort. However, for dynamic problems, extra…

Neural and Evolutionary Computing · Computer Science 2020-08-11 Maryam Hasani Shoreh , Renato Hermoza Aragonés , Frank Neumann

Neutrino oscillations have been observed in three sectors : solar ($\nu_e$ disappearance), atmospheric ($\nu_{\mu}$ disappearance), and accelerator ($\bar{\nu_{\mu}} \to \bar{\nu_e}$). The probability for two-neutrino oscillation is a…

High Energy Physics - Experiment · Physics 2007-05-23 H. Ray

Forecasting El Nino is one of the greatest challenges of science. We show how intensive, large and accurate time series allow us to see through time. Our Discrete Chi-square Method (DCM) can detect arbitrary trend and signal(-s)…

Methodology · Statistics 2026-03-25 Lauri Jetsu

An updated analysis of all available neutrino oscillation evidence in Solar experiments including the latest SNO ES,CC and NC data (254d live time, NaCL enhanced efficiency) is presented. We obtain, for the fraction of active oscillating…

High Energy Physics - Phenomenology · Physics 2007-05-23 P. Aliani , V. Antonelli , M. Picariello , E. Torrente-Lujan

We perform an updated global analysis of the known and unknown parameters of the standard $3\nu$ framework as of 2025. The known oscillation parameters include three mixing angles $(\theta_{12},\,\theta_{23},\,\theta_{13})$ and two squared…

High Energy Physics - Phenomenology · Physics 2025-03-12 Francesco Capozzi , William Giarè , Eligio Lisi , Antonio Marrone , Alessandro Melchiorri , Antonio Palazzo

Cell-Free Massive multiple-input multiple-output (MIMO) systems are investigated with the support of a reconfigurable intelligent surface (RIS). The RIS phase shifts are designed for improved channel estimation in the presence of spatial…

Information Theory · Computer Science 2025-07-15 Trinh Van Chien , Nguyen Hoang Viet , Symeon Chatzinotas , Lajos Hanzo

Multiobjective feature selection seeks to determine the most discriminative feature subset by simultaneously optimizing two conflicting objectives: minimizing the number of selected features and the classification error rate. The goal is to…

Neural and Evolutionary Computing · Computer Science 2025-05-12 Zhenxing Zhang , Qianxiang An , Yilei Wang , Chenfeng Wu , Baoling Dong , Chunjie Zhou

Optimal experimental design is an essential subfield of statistics that maximizes the chances of experimental success. The D- and A-optimal design is a very challenging problem in the field of optimal design, namely minimizing the…

Neural and Evolutionary Computing · Computer Science 2022-08-25 Lyuyang Tong

Genetic algorithms are a class of heuristic search techniques that apply basic evolutionary operators in a computational setting. We have designed a fully parallel and distributed hardware/software implementation of the generalized…

Astrophysics · Physics 2009-11-07 T. S. Metcalfe , P. Charbonneau

In this paper, a novel mutation operator of differential evolution algorithm is proposed. A new algorithm called divergence differential evolution algorithm (DDEA) is developed by combining the new mutation operator with divergence operator…

Neural and Evolutionary Computing · Computer Science 2011-08-18 Yifeng Gao , Shuhong Gong , Ge Zhao

We analyze the elastic $\alpha$-$^{12}$C scattering including the contribution of resonance states below the $p$-$^{15}$N breakup threshold energy. We use the cluster effective field theory in which scattering amplitude is expanded in terms…

Nuclear Theory · Physics 2026-03-25 Myeong-Hwan Mun , Jubin Park , Chang Ho Hyun , Shung-Ichi Ando

We examine the solar neutrino problem in the context of the realistic three neutrino mixing scenario including the SNO charged current (CC) rate. The two independent mass squared differences $\Delta m^2_{21}$ and $\Delta m^2_{31} \approx…

High Energy Physics - Phenomenology · Physics 2009-11-07 Abhijit Bandyopadhyay , Sandhya Choubey , Srubabati Goswami , Kamales Kar

A multiscalar and nonrenormalizable $B-L$ extension of the standard model (SM) with $S_4$ symmetry which successfully explains the recent observed neutrino oscillation data is proposed. The tiny neutrino masses and their hierarchies are…

High Energy Physics - Phenomenology · Physics 2021-03-22 V. V. Vien , H. N. Long

We propose and investigate a novel solution strategy to efficiently and accurately compute approximate solutions to semilinear optimal control problems, focusing on the optimal control of phase field formulations of geometric evolution…

Optimization and Control · Mathematics 2017-02-01 F. Yang , C. Venkataraman , V. Styles , A. Madzvamuse

We discuss reactor antineutrino oscillations with non-standard interactions (NSIs) at the neutrino production and detection processes. The neutrino oscillation probability is calculated with a parametrization of the NSI parameters by…

High Energy Physics - Phenomenology · Physics 2015-03-23 Yu-Feng Li , Ye-Ling Zhou