https://doi.org/10.1140/epjp/s13360-021-01256-8
Regular Article
Accuracy and precision of the estimation of the number of missing levels in chaotic spectra using long-range correlations
1
Grupo de Física Nuclear, Departamento de Estructura de la Materia, Física Térmica y Electrónica, Facultad de Ciencias Físicas, Universidad Complutense de Madrid and IPARCOS, CEI Moncloa, 28040, Madrid, Spain
2
Instituto de Estructura de la Materia, IEM-CSIC, Serrano 123, 28006, Madrid, Spain
Received:
6
December
2020
Accepted:
19
February
2021
Published online:
27
February
2021
We study the accuracy and precision for estimating the fraction of observed levels 
in quantum chaotic spectra through long-range correlations. We focus on the main statistics where theoretical formulas for the fraction of missing levels have been derived, the 
of Dyson and Mehta and the power spectrum of the 
statistic. We use Monte Carlo simulations of the spectra from the diagonalization of Gaussian Orthogonal Ensemble matrices with a definite number of levels randomly taken out to fit the formulas and calculate the distribution of the estimators for different sizes of the spectrum and values of . A proper averaging of the power spectrum of the statistic needs to be performed for avoiding systematic errors in the estimation. Once the proper averaging is made the estimation of the fraction of observed levels has quite good accuracy for the two methods even for the lowest dimensions we consider 
. However, the precision is generally better for the estimation using the power spectrum of the as compared to the estimation using the statistic. This difference is clearly bigger for larger dimensions. Our results show that a careful analysis of the value of the fit in view of the ensemble distribution of the estimations is mandatory for understanding its actual significance and give a realistic error interval.
© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2021
