Título

Data-adaptive unfolding of nonergodic spectra: two-body random ensemble

Autor

RUBEN YVAN MAARTEN FOSSION

Guillermo Vargas Torres

VICTOR MANUEL VELAZQUEZ AGUILAR

JUAN CARLOS LOPEZ VIEYRA

Nivel de Acceso

Acceso Abierto

Resumen o descripción

Abstract: the statistics of spectral fluctuations is sensitive to the unfolding procedure that separates global from local properties. Previously, we presented a parameter-free and data- adaptive unfolding method that we demonstrated to be highly effective for standard random- matrix ensembles from Random Matrix Theory (RMT). More general ensembles often break the ergodicity property, which leads to ambiguities between individual-spectrum averaged and ensemble-averaged fluctuation measures. Here, we apply our data-adaptive unfolding to a nonergodic Two-Body Random Ensemble (TBRE). In the present approach, both fluctuation measures can be calculated simultaneously within the same unfolding step, and possible arbitrarities introduced by traditional unfolding procedures are avoided.

Editor

IOP Publishing

Fecha de publicación

2015

Tipo de publicación

Artículo

Formato

Adobe PDF

application/pdf

Fuente

Journal of Physics: Conference Series (1742-6588) vol. 578 (2015)

Idioma

Inglés

Relación

http://iopscience.iop.org/article/10.1088/1742-6596/578/1/012013

Repositorio Orígen

INSTITUTO NACIONAL DE GERIATRIA

Descargas

34

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