When placed in parallel magnetic and electric fields, the electron trajectories of a classical hydrogen atom are chaotic. The classical escape rate of such a system can be computed with classical trajectory Monte Carlo techniques, but these computations require enormous numbers of trajectories, provide little understanding of the dynamical mechanisms involved, and must be completely rerun for any change of system parameters, no matter how small. We demonstrate an alternative technique to classical trajectory Monte Carlo computations based on classical periodic orbit theory. In this technique, escape rates are computed from a relatively modest number (a few thousand) of periodic orbits of the system. One only needs the orbits’ periods and stability eigenvalues. A major advantage of this approach is that one does not need to repeat the entire analysis from scratch as system parameters are varied; one can numerically continue the periodic orbits instead. We demonstrate the periodic orbit technique for the ionization of a hydrogen atom in applied parallel electric and magnetic fields. Using fundamental theories of phase space geometry, we also show how to generate nontrivial symbolic dynamics for acquiring periodic orbits in physical systems. A detailed analysis of heteroclinic tangles and how they relate to bifurcations in periodic orbits is also presented.
Skip Nav Destination
Computing classical escape rates from periodic orbits in chaotic hydrogen
,
,
Article navigation
Research Article|
May 08 2025
Computing classical escape rates from periodic orbits in chaotic hydrogen
Available to Purchase
Ethan T. Custodio
;
Ethan T. Custodio
a)
(Conceptualization, Data curation, Formal analysis, Methodology, Resources, Software, Validation, Visualization, Writing – review & editing)
1
Physics Department, University of California, Merced
, Merced, California 95344, USA
a)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Sulimon Sattari
;
Sulimon Sattari
(Conceptualization, Formal analysis, Methodology, Writing – review & editing)
2
Research Institute for Electronic Science, Hokkaido University
, Sapporo, Hokkaido 0010020, Japan
Search for other works by this author on:
Kevin A. Mitchell
Kevin A. Mitchell
b)
(Conceptualization, Formal analysis, Methodology, Resources, Supervision, Validation, Writing – review & editing)
1
Physics Department, University of California, Merced
, Merced, California 95344, USA
Search for other works by this author on:
Ethan T. Custodio
1,a)
Sulimon Sattari
2
Kevin A. Mitchell
1,b)
1
Physics Department, University of California, Merced
, Merced, California 95344, USA
2
Research Institute for Electronic Science, Hokkaido University
, Sapporo, Hokkaido 0010020, Japan
a)Author to whom correspondence should be addressed: [email protected]
b)
Electronic mail: [email protected]
Chaos 35, 053124 (2025)
Article history
Received:
September 05 2024
Accepted:
April 22 2025
Citation
Ethan T. Custodio, Sulimon Sattari, Kevin A. Mitchell; Computing classical escape rates from periodic orbits in chaotic hydrogen. Chaos 1 May 2025; 35 (5): 053124. https://doi.org/10.1063/5.0237613
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
86
Views
Citing articles via
Reservoir computing with the minimum description length principle
Antony Mizzi, Michael Small, et al.
Recent achievements in nonlinear dynamics, synchronization, and networks
Dibakar Ghosh, Norbert Marwan, et al.
Data-driven nonlinear model reduction to spectral submanifolds via oblique projection
Leonardo Bettini, Bálint Kaszás, et al.
Related Content
Using heteroclinic orbits to quantify topological entropy in fluid flows
Chaos (March 2016)
Using periodic orbits to compute chaotic transport rates between resonance zones
Chaos (November 2017)
Noise induced escape from a nonhyperbolic chaotic attractor of a periodically driven nonlinear oscillator
Chaos (June 2016)
Tipping mechanisms in a carbon cycle model
Chaos (May 2025)
Coupled heteroclinic networks in disguise
Chaos (August 2020)