nuc.setupISGMRExp

nucleardatapy.nuc.setup_isgmr_exp.isgmr_exp_tables()[source]

Return a list of tables available in this toolkit for the ISGMR energy and print them all on the prompt. These tables are the following ones: ‘2010-ISGMR-LI’, ‘2018-ISGMR-GARG’, ‘2018-ISGMR-GARG-LATEX’.

Returns:

The list of tables.

Return type:

list[str].

class nucleardatapy.nuc.setup_isgmr_exp.setupISGMRExp(table='2018-ISGMR-GARG')[source]

Instantiate the object with microscopic results choosen by the toolkit practitioner. This choice is defined in the variable table.

The table can chosen among the following ones: ‘2010-ISGMR-LI’, ‘2018-ISGMR-GARG’.

Parameters:

table (str, optional.) – Fix the name of table. Default value: ‘2018-ISGMR-GARG’, ‘2018-ISGMR-GARG-LATEX’.

Attributes:

Parameters:
  • table (str, optional)

  • between (The table to consider. Choose)

E_unit

Attribute energy unit.

average()[source]

Method to average the data when same target is given.

Attributes:

label

Attribute providing the label the data is references for figures.

note

Attribute providing additional notes about the data.

print_outputs()[source]

Method which print outputs on terminal’s screen.

ref

Attribute providing the full reference to the paper to be citted.

select(Zref=50, obs='M12Mm1')[source]

Method to select a subset of data.

Parameters:
  • Zref (int, optional. Default: 1.) – Fix the reference charge for the search of isotopes.

  • obs (str) – kind of observable to extract: ‘M12M0’, ‘M12Mm1’, ‘M32M1’.

Attributes:

table

Attribute table.

Here are a set of figures which are produced with the Python sample: /nucleardatapy_sample/nuc_setupISGMRExp_plot.py

map to buried treasure

Experimental ISGMR energies available in the nucleardatapy toolkit.