Improving the predictive power of empirical shell-model Hamiltonians

Fuente: arXiv
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Hauptverfasser: Purcell, J. A., Brown, B. A., He, B. C., Stroberg, S. R., Walters, W. B.
Format: Preprint
Veröffentlicht: 2024
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author Purcell, J. A.
Brown, B. A.
He, B. C.
Stroberg, S. R.
Walters, W. B.
author_facet Purcell, J. A.
Brown, B. A.
He, B. C.
Stroberg, S. R.
Walters, W. B.
contents We present two developments which enhance the predictive power of empirical shell-model Hamiltonians for cases in which calibration data are sparse. A recent improvement in the ab initio derivation of effective Hamiltonians leads to a much better starting point for the optimization procedure. In addition, we introduce a protocol to avoid overfitting, enabling a more reliable extrapolation beyond available data. These developments will enable more robust predictions for exotic isotopes produced at rare isotope beam facilities and in astrophysical environments.
format Preprint
id arxiv_https___arxiv_org_abs_2412_09917
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Improving the predictive power of empirical shell-model Hamiltonians
Purcell, J. A.
Brown, B. A.
He, B. C.
Stroberg, S. R.
Walters, W. B.
Nuclear Theory
We present two developments which enhance the predictive power of empirical shell-model Hamiltonians for cases in which calibration data are sparse. A recent improvement in the ab initio derivation of effective Hamiltonians leads to a much better starting point for the optimization procedure. In addition, we introduce a protocol to avoid overfitting, enabling a more reliable extrapolation beyond available data. These developments will enable more robust predictions for exotic isotopes produced at rare isotope beam facilities and in astrophysical environments.
title Improving the predictive power of empirical shell-model Hamiltonians
topic Nuclear Theory
url https://arxiv.org/abs/2412.09917