Dataset : Massive evaluation and analysis of Poincaré recurrences

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Guillaume Rollin, José Lages, Ivan Shevchenko, Alexander Melnikov (2018): Massive evaluation and analysis of Poincaré recurrences. UTINAM. doi:10.25666/DATAOSU-2019-01-11

General metadata

Identifier : local : FR-18008901306731-2019-01-11 external : doi:10.25666/DATAOSU-2019-01-11
Description :
We present a novel numerical method aimed to characterize global behaviour, in particular chaotic diffusion, in dynamical systems. It is based on an analysis of the Poincaré recurrence statistics on massive grids of initial data or values of parameters. We concentrate on Hamiltonian systems, featuring the method separately for the cases of bounded and non-bounded phase spaces. The embodiments of the method in each of the cases are specific. We compare the performances of the proposed Poincaré recurrence method (PRM) and the custom Lyapunov characteristic exponent (LCE) methods and show that they expose the global dynamics almost identically. However, a major advantage of the new method over the known global numerical tools, such
as LCE, FLI, MEGNO, and FA, is that it allows one to construct, in some approximation, charts of local diffusion timescales. Moreover, it is algorithmically simple and straightforward to apply.
Disciplines :
physics, mathematical (physics), astronomy & astrophysics (sciences of the universe)
Keywords :

Dates :
Data acquisition : from 2018 ongoing
Data provision : 1 Jan 2018
Metadata record :
Creation : 11 Jan 2019

Language : English (eng)
Audience : Research

Administrative metadata

Data creatorsAffiliation
Guillaume RollinUTINAM
José LagesUTINAM
Ivan ShevchenkoRAS
Alexander MelnikovTSU
Publisher : Institut UTINAM
Science contact : José Lages website e-mail
Computing contact : José Lages website e-mail
Project and funder :
Access : available

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Formats : application/pdf, image/png, text/plain
Data acquisition methods :
Datatype : Dataset
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