Computing the QRPA Level Density with the Finite Amplitude Method

Fuente: arXiv
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Autori principali: Bjelčić, Antonio, Schunck, Nicolas
Natura: Preprint
Pubblicazione: 2024
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author Bjelčić, Antonio
Schunck, Nicolas
author_facet Bjelčić, Antonio
Schunck, Nicolas
contents We describe a new algorithm to calculate the vibrational nuclear level density of an atomic nucleus. Fictitious perturbation operators that probe the response of the system are generated by drawing their matrix elements from some probability distribution function. We use the Finite Amplitude Method to explicitly compute the response for each such sample. With the help of the Kernel Polynomial Method, we build an estimator of the vibrational level density and provide the upper bound of the relative error in the limit of infinitely many random samples. The new algorithm can give accurate estimates of the vibrational level density. Since it is based on drawing multiple samples of perturbation operators, its computational implementation is naturally parallel and scales like the number of available processing units.
format Preprint
id arxiv_https___arxiv_org_abs_2409_07644
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Computing the QRPA Level Density with the Finite Amplitude Method
Bjelčić, Antonio
Schunck, Nicolas
Nuclear Theory
We describe a new algorithm to calculate the vibrational nuclear level density of an atomic nucleus. Fictitious perturbation operators that probe the response of the system are generated by drawing their matrix elements from some probability distribution function. We use the Finite Amplitude Method to explicitly compute the response for each such sample. With the help of the Kernel Polynomial Method, we build an estimator of the vibrational level density and provide the upper bound of the relative error in the limit of infinitely many random samples. The new algorithm can give accurate estimates of the vibrational level density. Since it is based on drawing multiple samples of perturbation operators, its computational implementation is naturally parallel and scales like the number of available processing units.
title Computing the QRPA Level Density with the Finite Amplitude Method
topic Nuclear Theory
url https://arxiv.org/abs/2409.07644