Benchmarking ANN extrapolations of the ground-state energies and radii of Li isotopes
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909970156486656 |
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| author | Knöll, Marco Lockner, Matthew Maris, Pieter McCarty, Ryan J. Roth, Robert Vary, James P. Wolfgruber, Tobias |
| author_facet | Knöll, Marco Lockner, Matthew Maris, Pieter McCarty, Ryan J. Roth, Robert Vary, James P. Wolfgruber, Tobias |
| contents | We present a comparison of model-space extrapolation methods for No-Core Shell Model calculations of ground-state energies and root-mean-square radii in Li isotopes. In particular, we benchmark the latest machine learning tools against widely used exponential and infrared extrapolations for energies and crossing point estimates for radii. Our findings demonstrate that machine learning-based approaches provide reliable predictions with robust statistical uncertainties for both observables even in small model spaces. These predictions are compatible with established exponential and IR extrapolations of energies and mark a notable improvement over conventional radius estimates. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_18252 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Benchmarking ANN extrapolations of the ground-state energies and radii of Li isotopes Knöll, Marco Lockner, Matthew Maris, Pieter McCarty, Ryan J. Roth, Robert Vary, James P. Wolfgruber, Tobias Nuclear Theory We present a comparison of model-space extrapolation methods for No-Core Shell Model calculations of ground-state energies and root-mean-square radii in Li isotopes. In particular, we benchmark the latest machine learning tools against widely used exponential and infrared extrapolations for energies and crossing point estimates for radii. Our findings demonstrate that machine learning-based approaches provide reliable predictions with robust statistical uncertainties for both observables even in small model spaces. These predictions are compatible with established exponential and IR extrapolations of energies and mark a notable improvement over conventional radius estimates. |
| title | Benchmarking ANN extrapolations of the ground-state energies and radii of Li isotopes |
| topic | Nuclear Theory |
| url | https://arxiv.org/abs/2501.18252 |