corr.setupKsatQsat

nucleardatapy.corr.setup_KsatQsat.KsatQsat_constraints()[source]

Return a list of constraints available in this toolkit in the following list: ‘1991-Pearson’, ‘2025-MK’, ‘EDF-SKY’, ‘EDF-GSKY’, ‘EDF-ESKY’, ‘EDF-DDRH’, ‘EDF-NLRH’, ‘EDF-DDRHF’, ‘EDF-Gogny’, ‘EDF-xEFT’; and print them all on the prompt.

Returns:

The list of constraints.

Return type:

list[str].

class nucleardatapy.corr.setup_KsatQsat.setupKsatQsat(constraint='EDF-SKY')[source]

Instantiate the values of Esym and Lsym from the constraint.

The name of the constraint to be chosen in the following list: ‘1991-Pearson’, ‘2025-MK’, ‘EDF-SKY’, ‘EDF-ESKY’, ‘EDF-DDRH’, ‘EDF-NLRH’, ‘EDF-DDRHF’, ‘EDF-Gogny’, ‘EDF-xEFT’. :param constraint: Fix the name of constraint. Default value: ‘EDF-SKY’. :type constraint: str, optional.

Attributes:

constraint

Attribute constraint.

init_self()[source]

Initialize variables in self.

label

Attribute providing the label the data is references for figures.

note

Attribute providing additional notes about the constraint.

print_outputs()[source]

Method which print outputs on terminal’s screen.

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_setupKsatQsat_plot.py

map to buried treasure

This figure shows the Ksat versus Qsat correlation for the different constraints availble in the nucleardatapy toolkit.