Détail du document
Identifiant

oai:arXiv.org:2407.20332

Sujet
Astrophysics - Instrumentation and... Physics - Computational Physics
Auteur
Wilhelm, Maite Zwart, Simon Portegies
Catégorie

sciences : astrophysique

Année

2024

Date de référencement

06/11/2024

Mots clés
dynamics numerical multi-physics {\sc coupling venice}
Métrique

Résumé

We present {\sc Venice}, an operator splitting algorithm to integrate a numerical model on a hierarchy of timescales.

{\sc Venice} allows a wide variety of different physical processes operating a different scales to be coupled on individual and adaptive time-steps.

It therewith mediates the development of complex multi-scale and multi-physics simulation environments with a wide variety of independent components.

The coupling between various physical models and scales is dynamic, and realized through (Strang) operators splitting using adaptive time steps.

We demonstrate the functionality and performance of this algorithm using astrophysical models of a stellar cluster, first coupling gravitational dynamics and stellar evolution, then coupling internal gravitational dynamics with dynamics within a galactic background potential, and finally combining these models while also introducing dwarf galaxy-like perturbers.

These tests show numerical convergence for decreasing coupling timescales, demonstrate how {\sc Venice} can improve the performance of a simulation by shortening coupling timescales when appropriate, and provide a case study of how {\sc Venice} can be used to gradually build up and tune a complex multi-physics model.

Although the examples couple complete numerical models, {\sc Venice} can also be used to efficiently solve systems of stiff differential equations.

;Comment: Accepted for publication by A&A

Wilhelm, Maite,Zwart, Simon Portegies, 2024, Venice: a multi-scale operator-splitting algorithm for multi-physics simulations

Document

Ouvrir

Partager

Source

Articles recommandés par ES/IODE IA

Lung cancer risk and exposure to air pollution: a multicenter North China case–control study involving 14604 subjects
lung cancer case–control air pollution never-smokers nomogram model controls lung-related 14604 subjects north polluted consistent smokers quit exposure lung cancer risk air people factor smoking pollution study history