Bootstrap method for constructing covariance matrices of optical-model parameters in the study of the threshold anomaly
The parameters of optical-model potentials are usually obtained by adjusting theoretical calculations to the corresponding experimental elastic-scattering data. It has been observed that the use of conventional covariance matrices for the evaluation of the uncertainties of the parameters obtained in...
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doaj-ac26ac04e1c449ddbb5bc8c44269798c2021-08-02T18:23:06ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011460205010.1051/epjconf/201714602050epjconf-nd2016_02050Bootstrap method for constructing covariance matrices of optical-model parameters in the study of the threshold anomalyAbriola DanielMartí Guillermo V.Testoni Jorge E.The parameters of optical-model potentials are usually obtained by adjusting theoretical calculations to the corresponding experimental elastic-scattering data. It has been observed that the use of conventional covariance matrices for the evaluation of the uncertainties of the parameters obtained in this way, leads in general to unrealistically small values. This underestimate may be caused by either, an incorrect use of the statistical recipes, or by the lack of a systematic study of the robustness of the uncertainty values against the inclusion or exclusion of experimental data points within a given data set. In the present contribution we explore both factors. Regarding the first aspect we use a re-normalization for χ2, similar to the one proposed by R.T. Birge. In the second case we use the Bootstrap method to create synthetic sets based on all the available experimental data in order to derive an effective covariance matrix. These procedures were applied to the re-analysis of elastic-scattering data for several heavy-ion systems at energies close to the Coulomb barrierhttps://doi.org/10.1051/epjconf/201714602050 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abriola Daniel Martí Guillermo V. Testoni Jorge E. |
spellingShingle |
Abriola Daniel Martí Guillermo V. Testoni Jorge E. Bootstrap method for constructing covariance matrices of optical-model parameters in the study of the threshold anomaly EPJ Web of Conferences |
author_facet |
Abriola Daniel Martí Guillermo V. Testoni Jorge E. |
author_sort |
Abriola Daniel |
title |
Bootstrap method for constructing covariance matrices of optical-model parameters in the study of the threshold anomaly |
title_short |
Bootstrap method for constructing covariance matrices of optical-model parameters in the study of the threshold anomaly |
title_full |
Bootstrap method for constructing covariance matrices of optical-model parameters in the study of the threshold anomaly |
title_fullStr |
Bootstrap method for constructing covariance matrices of optical-model parameters in the study of the threshold anomaly |
title_full_unstemmed |
Bootstrap method for constructing covariance matrices of optical-model parameters in the study of the threshold anomaly |
title_sort |
bootstrap method for constructing covariance matrices of optical-model parameters in the study of the threshold anomaly |
publisher |
EDP Sciences |
series |
EPJ Web of Conferences |
issn |
2100-014X |
publishDate |
2017-01-01 |
description |
The parameters of optical-model potentials are usually obtained by adjusting theoretical calculations to the corresponding experimental elastic-scattering data. It has been observed that the use of conventional covariance matrices for the evaluation of the uncertainties of the parameters obtained in this way, leads in general to unrealistically small values. This underestimate may be caused by either, an incorrect use of the statistical recipes, or by the lack of a systematic study of the robustness of the uncertainty values against the inclusion or exclusion of experimental data points within a given data set. In the present contribution we explore both factors. Regarding the first aspect we use a re-normalization for χ2, similar to the one proposed by R.T. Birge. In the second case we use the Bootstrap method to create synthetic sets based on all the available experimental data in order to derive an effective covariance matrix. These procedures were applied to the re-analysis of elastic-scattering data for several heavy-ion systems at energies close to the Coulomb barrier |
url |
https://doi.org/10.1051/epjconf/201714602050 |
work_keys_str_mv |
AT abrioladaniel bootstrapmethodforconstructingcovariancematricesofopticalmodelparametersinthestudyofthethresholdanomaly AT martiguillermov bootstrapmethodforconstructingcovariancematricesofopticalmodelparametersinthestudyofthethresholdanomaly AT testonijorgee bootstrapmethodforconstructingcovariancematricesofopticalmodelparametersinthestudyofthethresholdanomaly |
_version_ |
1721228235716427776 |