2017
DOI: 10.1103/physreva.95.013629
|View full text |Cite
|
Sign up to set email alerts
|

Chaotic dynamics and fractal structures in experiments with cold atoms

Abstract: We use tools from nonlinear dynamics to the detailed analysis of cold atom experiments. A powerful example is provided by the recent concept of basin entropy which allows to quantify the final state unpredictability that results from the complexity of the phase space geometry. We show here that this enables one to reliably infer the presence of fractal structures in phase space from direct measurements. We illustrate the method with numerical simulations in an experimental configuration made of two crossing la… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
24
0
1

Year Published

2017
2017
2024
2024

Publication Types

Select...
7
3

Relationship

1
9

Authors

Journals

citations
Cited by 41 publications
(25 citation statements)
references
References 26 publications
0
24
0
1
Order By: Relevance
“…However, a bigger N can be reached only with a smaller size of the square cells, which also have a minimum size to contain at least one of the N A states. To solve this issue, we follow the procedure outlined in [25], in which the square cells are randomly picked in the space of states through a Monte Carlo procedure, allowing us to increase the number of cells N as necessary. In our particular problem, we find that the final value for the basin entropy keeps constant for a number of cells larger than 3 × 10 5 , hence, in the three cases, we used N = 3.5 × 10 5 cells.…”
Section: Basin Entropymentioning
confidence: 99%
“…However, a bigger N can be reached only with a smaller size of the square cells, which also have a minimum size to contain at least one of the N A states. To solve this issue, we follow the procedure outlined in [25], in which the square cells are randomly picked in the space of states through a Monte Carlo procedure, allowing us to increase the number of cells N as necessary. In our particular problem, we find that the final value for the basin entropy keeps constant for a number of cells larger than 3 × 10 5 , hence, in the three cases, we used N = 3.5 × 10 5 cells.…”
Section: Basin Entropymentioning
confidence: 99%
“…In the present paper, following the suggestion presented in Ref. [16] we use = 5, for the size of the boxes and = 1 × 10 5 for the total number of boxes, aiming to get a constant and realistic value for .…”
Section: Basin Entropymentioning
confidence: 99%
“…Following the procedure outlined in [22], once we know the positions of the libration points, we can determine their linear stability by means of the characteristic equation. To do so, we defined a dense, uniform sequence of 10 5 values of δ in the interval [0, 10] and numerically solved the system (8), thus determining the coordinates (x 0 , y 0 ) of the equilibrium points. The last step was to insert the coordinates of the equilibria into the characteristic equation and determine the nature of the four roots.…”
Section: Parametric Evolution Of the Equilibrium Pointsmentioning
confidence: 99%