1999
DOI: 10.1046/j.1365-8711.1999.02982.x
|View full text |Cite
|
Sign up to set email alerts
|

Algorithmic regularization of the few-body problem

Abstract: Using a modified leapfrog method as a basic mapping, we produce a new numerical integrator for the stellar dynamical few‐body problem. We do not use coordinate transformation and the differential equations are not regularized, but the leapfrog algorithm gives regular results even for collision orbits. For this reason, application of extrapolation methods gives high precision. We compare the new integrator with several others and find it promising. Especially interesting is its efficiency for some potentials th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
117
0

Year Published

2008
2008
2021
2021

Publication Types

Select...
7
1
1

Relationship

0
9

Authors

Journals

citations
Cited by 158 publications
(117 citation statements)
references
References 4 publications
0
117
0
Order By: Relevance
“…Leapfrog for the chain system: The leapfrog method, which is a second-order symplectic integration method and is applied in the relative frame after the masses are relabeled N 1, 2, ,  along the chain as described in Section 2.1 (Mikkola & Tanikawa 1999b). Although it is not based on KS regularization, it can be used successfully for collision orbits.…”
Section: Regularized Integration Methodsmentioning
confidence: 99%
“…Leapfrog for the chain system: The leapfrog method, which is a second-order symplectic integration method and is applied in the relative frame after the masses are relabeled N 1, 2, ,  along the chain as described in Section 2.1 (Mikkola & Tanikawa 1999b). Although it is not based on KS regularization, it can be used successfully for collision orbits.…”
Section: Regularized Integration Methodsmentioning
confidence: 99%
“…Equations need not to be regularized. [Logarithmic Hamiltonian (logH) or Time Transformed Leapfrog (TTL), Mikkola & Tanikawa (1999), Preto and Tremaine (1999), Mikkola and Aarseth(2002)] -In all the alternatives high precision can be obtained with the help of an extrapolation method [Gragg /Bulirsh-Stoer] -Very old starting points: Sundman's time transformation t = r (for the two-body problem), Levi-Civita's two-dimensional coordinate transformation x + iy = (Q 1 + iq 2 ) 2 . Kustaanheimo-Stiefel (1965) transformation from four dimensional space to three dimensions made finally regularization possible for stellar dynamics simulations.…”
Section: Seppo Mikkola Tuorla Observatory Turku Finlandmentioning
confidence: 99%
“…The most recent advances in this field started in 1999 when Mikkola and Tanikawa (1999) as well as Preto and Tremaine (1999) invented the logarithmic Hamiltonian, which together with the leapfrog algorithm, produces regular results, in fact correct trajectory for the two-body problem. This method is useful also for the N-Body problem since during close approaches the problem reduces essentially to a two-body problem.…”
Section: Seppo Mikkola Tuorla Observatory Turku Finlandmentioning
confidence: 99%
“…This 3-d method involves the global regularization scheme described in [19] as well as a timetransformed leapfrog propagation technique [20] in conjunction with the Bulirsch-Stoer method [21,22]. This technique has been developed in the context of gravitational few-body systems [20,23,24] and we currently adopt it to treat strongly-driven molecules. The advantage of this latter propagation technique over the one we previously used in [15,18] is that it is numerically more robust with a smaller propagation error.…”
Section: Introductionmentioning
confidence: 99%