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Related papers: COSE$\nu$: A Collective Oscillation Simulation Eng…

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A core-collapse supernova (SN) releases almost all of its energy in the form of neutrinos, which provide a unique opportunity to probe the working machinery of a SN. These sites are prone to neutrino-neutrino refractive effects, which can…

High Energy Physics - Phenomenology · Physics 2024-06-03 Manibrata Sen

A method of representation of a solution as segments of the series in powers of the step of the independent variable is expanded for solving complex systems of ordinary differential equations (ODE): the Lorenz system and other systems. A…

Numerical Analysis · Computer Science 2014-05-26 Vladimir Aristov , Andrey Stroganov

Computer vision and machine learning tools offer an exciting new way for automatically analyzing and categorizing information from complex computer simulations. Here we design an ensemble machine learning framework that can independently…

Computer Vision and Pattern Recognition · Computer Science 2021-09-06 Maarja Bussov , Joonas Nättilä

Oscillation probability calculations are becoming increasingly CPU intensive in modern neutrino oscillation analyses. The independency of reweighting individual events in a Monte Carlo sample lends itself to parallel implementation on a…

Data Analysis, Statistics and Probability · Physics 2014-05-12 R. G. Calland , A. C. Kaboth , D. Payne

We briefly review the current status of standard oscillations of atmospheric neutrinos in schemes with two, three, and four flavor mixing. It is shown that, although the pure \nu_\mu-->\nu_\tau channel provides an excellent 2\nu fit to the…

High Energy Physics - Phenomenology · Physics 2009-10-07 G. L. Fogli , E. Lisi , A. Marrone , D. Montanino

Solving nonlinear partial differential equations (PDEs) using kernel methods offers a compelling alternative to traditional numerical solvers. However, the performance of these methods strongly depends on the choice of kernel. In this work,…

Machine Learning · Statistics 2026-05-12 Fatima-Zahrae El-Boukkouri , Josselin Garnier , Olivier Roustant

Chemistry plays a key role in many astrophysical situations regulating the cooling and the thermal properties of the gas, which are relevant during gravitational collapse, the evolution of disks and the fragmentation process. In order to…

Astrophysics of Galaxies · Physics 2015-06-17 T. Grassi , S. Bovino , D. R. G. Schleicher , J. Prieto , D. Seifried , E. Simoncini , F. A. Gianturco

Recently, the coherent Ising machine (CIM) as a degenerate optical parametric oscillator (DOPO) network has been researched to solve Ising combinatorial optimization problems. We formulate a theoretical model for the CIM with discrete-time…

Quantum Physics · Physics 2017-11-22 Atsushi Yamamura , Kazuyuki Aihara , Yoshihisa Yamamoto

The Fusion Synthesis Engine (FUSE) is a state-of-the-art software suite designed to revolutionize fusion power plant design. FUSE integrates first-principle models, machine learning, and reduced models into a unified framework, enabling…

Simflowny is an open platform which automatically generates efficient parallel code of scientific dynamical models for different simulation frameworks. Here we present major upgrades on this software to support simultaneously a quite…

Computational Physics · Physics 2020-12-02 C. Palenzuela , B. Miñano , A. Arbona , C. Bona-Casas , C. Bona , J. Massó

The successful transition from core-collapse supernova simulations using classical neutrino transport to simulations using quantum neutrino transport will require the development of methods for calculating neutrino flavor transformations…

High Energy Physics - Phenomenology · Physics 2022-07-13 McKenzie Myers , Theo Cooper , MacKenzie Warren , Jim Kneller , Gail McLaughlin , Sherwood Richers , Evan Grohs , Carla Frohlich

As a first approximation beyond linearity, the nonlinear Schr\"odinger equation (NLSE) reliably describes a broad class of physical systems. Though numerical solutions of this model are well-established, these methods can be computationally…

Quantum Gases · Physics 2022-03-25 Benjamin D. Smith , Logan W. Cooke , Lindsay J. LeBlanc

Conditioning image generation facilitates seamless editing and the creation of photorealistic images. However, conditioning on noisy or Out-of-Distribution (OoD) images poses significant challenges, particularly in balancing fidelity to the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-23 Bastien van Delft , Tommaso Martorella , Alexandre Alahi

The theoretical schemes on neutrino oscillations are considered. The experimental data on neutrino oscillations from Super-Kamiokande (Japan) and SNO (Kanada) are given. Comparison of these data with theoretical schemes is done. Conclusion…

High Energy Physics - Phenomenology · Physics 2007-05-23 Kh. M. Beshtoev

We present analytical solutions to the nonlinear equations describing the behavior of a gas of neutrinos with two flavors. Self-maintained coherent flavor oscillations are shown to occur when the gas density exceeds a critical value…

High Energy Physics - Phenomenology · Physics 2009-09-25 Alan Kostelecky , Stuart Samuel

In this paper, we present a novel research software, called PEGASE, suitable for the design, validation and deployment of advanced control strategies for complex multi-domain energy systems. PEGASE especially features a highly efficient…

We address the influence of quantum corrections to neutrino masses and mixings and discuss the possibilities to completely generate the flavor mixing irrespective of any tree-level flavor model. Furthermore, we describe a new class of vacua…

High Energy Physics - Phenomenology · Physics 2015-05-29 Wolfgang Gregor Hollik

The time fractional ODEs are equivalent to convolutional Volterra integral equations with completely monotone kernels. We therefore introduce the concept of complete monotonicity-preserving ($\mathcal{CM}$-preserving) numerical methods for…

Numerical Analysis · Mathematics 2021-01-01 Lei Li , Dongling Wang

This paper introduces a Monte Carlo simulation generated with the GiBUU model for neutrino experiments. The simulation generates realistic neutrino event samples, contributing to the prediction and interpretation of experimental outcomes.…

High Energy Physics - Experiment · Physics 2025-03-18 Leonidas Aliaga Soplin , Raquel Castillo Fernandez , Jasper Gustafson , Declan Quinn , Shweta Yadav

We consider schemes of neutrino mixing arising within the discrete symmetry approach to the well-known flavour problem. We concentrate on $3\nu$ mixing schemes in which the cosine of the Dirac CP violation phase $\delta_\mathrm{CP}$…

High Energy Physics - Phenomenology · Physics 2018-04-11 Sanjib Kumar Agarwalla , Sabya Sachi Chatterjee , S. T. Petcov , A. V. Titov
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