corr.setupEsymLsym
- nucleardatapy.corr.setup_EsymLsym.EsymLsym_constraints()[source]
Return a list of constraints available in this toolkit in the following list: ‘2009-HIC’, ‘2010-RNP’, ‘2012-FRDM’, ‘2013-NS’, ‘2014-IAS’, ‘2014-IAS+RNP’, ‘2015-POL-208Pb’, ‘2015-POL-120Sn’, ‘2015-POL-68Ni’, ‘2017-UG’, ‘2021-PREXII-Reed’, ‘2021-PREXII-Reinhard’, ‘2023-PREXII+CREX-Zhang’, ‘2023-EDF-D4’, ‘2023-EDF-D4-IAS’, ‘2023-EDF-D4-IAS-Rnp’; and print them all on the prompt.
- Returns:
The list of constraints.
- Return type:
list[str].
- class nucleardatapy.corr.setup_EsymLsym.setupEsymLsym(constraint='2014-IAS')[source]
Instantiate the values of Esym and Lsym from the constraint.
The name of the constraint to be chosen in the following list: ‘2009-HIC’, ‘2010-RNP’, ‘2012-FRDM’, ‘2013-NS’, ‘2014-IAS’, ‘2014-IAS+RNP’, ‘2015-POL-208Pb’, ‘2015-POL-120Sn’, ‘2015-POL-68Ni’, ‘2017-UG’, ‘2021-PREXII-Reed’, ‘2021-PREXII-Reinhard’, ‘2021-PREXII+CREX-Zhang’, ‘2023-EDF-D4’, ‘2023-EDF-D4-IAS’, ‘2023-EDF-D4-IAS-Rnp’.
- Parameters:
constraint (str, optional.) – Fix the name of constraint. Default value: ‘2014-IAS’.
Attributes:
- constraint
Attribute constraint.
- label
Attribute providing the label the data is references for figures.
- note
Attribute providing additional notes about the constraint.
- ref
Attribute providing the full reference to the paper to be citted.
Here are a set of figures which are produced with the Python sample: /nucleardatapy_sample/corr_setupEsymLsym_plot.py
This figure shows the Esym,2 versus Lsym,2 correlation for the different constraints available in the nucleardatapy toolkit.
This figure shows the Esym versus Lsym correlation for the different constraints available in the nucleardatapy toolkit.