The Case for Adopting the Sequential Jacobi’s Diagonalization Algorithm in Neutrino Oscillation Physics
Year: 2024
Type: article
Abstract: Neutrino flavor oscillations and conversion in an interacting background (MSW effects) may reveal the charge-parity violation in the next generation of neutrino experiments. The usual approach for studying these effects is to numerically integrate the Schrödinger equation, recovering the neutrino mixing matrix and its parameters from the solution. This work suggests using the classical Jacobi’s diagonalization in combination with a reordering procedure to produce a new algorithm, the Sequential Jacobi Diagonalization. This strategy separates linear algebra operations from numerical integration, allowing physicists to study how the oscillation parameters are affected by adiabatic MSW effects in a more efficient way. The mixing matrices at every point of a given parameter space can be stored for speeding up other calculations such as model fitting and Monte Carlo productions. This approach has two major computation advantages, namely, being trivially parallelizable, making it a suitable choice for concurrent computation, and allowing for quasi-model-independent solutions which simplify Beyond Standard Model searches.
Source: Symmetry
DOI: 10.3390/sym16121617
Author: Gustavo A. Valdiviesso
Institution: Universidade Federal de Alfenas
Language: English
Topic: Neutrino Physics Research
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,728
Awards: G116629194, G1289666335, G1454113806, G231990516, G2617062029, AVANÇO DA PESQUISA E PÓS-GRADUAÇÃO NA UNIFAL-MG ATRAVÉS DA CRIAÇÃO DE REDES DE COLABORAÇÃO INTERNACIONAIS, G3359668359, G3676848836, G4246890926, G4516973787, G6411739538, G6815844370, G7199106475, G823097665, G8293140125, G8959545229
OpenAlex ID: W4405112708