Related Experiment Video
Updated: Sep 11, 2025

Experimental and Data Analysis Workflow for Soft Matter Nanoindentation
Published on: January 18, 2022
Statistical analysis of level-spacing ratios in pseudointegrable systems: Semi-Poisson insight and beyond
Afshin Akhshani1, Małgorzata Białous1, Leszek Sirko1
1Institute of Physics, Polish Academy of Sciences, Aleja Lotników 32/46, 02-668 Warszawa, Poland.
Researchers explored quantum systems using gap ratios, finding semi-Poisson behavior in a perturbed billiard. This pseudointegrable system reveals scale-dependent spectral statistics bridging integrable and chaotic regimes.
Area of Science:
- Quantum mechanics
- Statistical physics
- Condensed matter physics
Background:
- Quantum systems can exhibit complex statistical properties.
- Pseudointegrable systems present unique spectral characteristics.
- Understanding spectral statistics is key to classifying quantum system behavior.
Purpose of the Study:
- To investigate the statistical properties of a quantum system in the pseudointegrable regime.
- To experimentally simulate and theoretically analyze a two-dimensional quantum billiard with a point-like perturbation.
- To characterize the system's behavior using gap ratios and probability distributions.
Main Methods:
- Experimental simulation of a quantum billiard using a flat rectangular resonator with wire antennas.
- Analysis of scattering spectra and energy level gap ratios.
- Theoretical derivation of higher-order nonoverlapping probability distributions.
Main Results:
- The system exhibits semi-Poisson behavior in the 8-16 GHz frequency range.
- The probability distribution parameter ξ was found to be 0.97±0.03.
- Scale-dependent convergence of spectral statistics towards Random Matrix Theory ensembles was observed.
Conclusions:
- The experimental and numerical results confirm the pseudointegrability of the studied system.
- The semi-Poisson ensemble demonstrates scale-dependent properties, approaching Gaussian orthogonal ensemble for k=2.
- Spectral statistics can mimic chaos-like features in nonchaotic systems, highlighting the importance of scale-dependent analysis.
Related Concept Videos
Poisson's And Laplace's Equation
Poisson Probability Distribution
The...
Poisson's Ratio
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity
Pole and System Stability
Simple poles are unique roots of the denominator polynomial. Each simple pole corresponds to a distinct solution to the system's characteristic equation, typically resulting in exponential decay terms in the system's...
Chebyshev's Theorem to Interpret Standard Deviation

