matter.setupPheno

nucleardatapy.matter.setup_pheno.pheno_models()

Return a list of models available in this toolkit and print them all on the prompt.

Returns:

The list of models with can be ‘Skyrme’, ‘ESkyrme’, ‘NLRH’, ‘DDRH’, ‘DDRHF’.

Return type:

list[str].

nucleardatapy.matter.setup_pheno.pheno_params(model)

Return a list with the parameterizations available in this toolkit for a given model and print them all on the prompt.

Parameters:

model (str.) – The type of model for which there are parametrizations. They should be chosen among the following options: ‘Skyrme’, ‘ESkyrme’, ‘Gogny’, ‘Fayans’, ‘NLRH’, ‘DDRH’, ‘DDRHF’ .

Returns:

The list of parametrizations. If models == ‘Skyrme’: ‘BSK14’, ‘BSK16’, ‘BSK17’, ‘BSK27’,’BSkG1’, ‘BSkG2’, ‘F-’, ‘F+’, ‘F0’, ‘FPL’, ‘LNS’, ‘LNS1’, ‘LNS5’, ‘NRAPR’, ‘RATP’, ‘SAMI’, ‘SGII’, ‘SIII’, ‘SKGSIGMA’, ‘SKI2’, ‘SKI4’, ‘SKMP’, ‘SKMS’, ‘SKO’, ‘SKOP’, ‘SKP’, ‘SKRSIGMA’, ‘SKX’, ‘Skz2’, ‘SLY4’, ‘SLY5’, ‘SLY230A’, ‘SLY230B’, ‘SV’, ‘T6’, ‘T44’, ‘UNEDF0’, ‘UNEDF1’. If models == ‘ESkyrme’: ‘BSk22’, ‘BSk24’, ‘BSk25’, ‘BSk26’, ‘BSk31’, ‘BSk32’, ‘BSkG3’,’BSkG4’ . If models == ‘Fayans’: ‘SLy4’, ‘SkM*’, ‘Fy(IVP)’, ‘Fy(Dr,HDB)’, ‘Fy(std)’, ‘SV-min’, ‘SV-bas’, ‘SV-K218’, ‘SV-K226’, ‘SV-K241’, ‘SV-mas07’, ‘SV-mas08’, ‘SV-mas10’,

‘SV-sym28’, ‘SV-sym32’, ‘SV-sym34’, ‘SV-kap00’, ‘SV-kap20’, ‘SV-kap60’. If models == ‘NLRH’: ‘NL-SH’, ‘NL3’, ‘NL3II’, ‘PK1’, ‘PK1R’, ‘TM1’. If models == ‘DDRH’: ‘DDME1’, ‘DDME2’, ‘DDMEd’, ‘PKDD’, ‘TW99’. If models == ‘DDRHF’: ‘PKA1’, ‘PKO1’, ‘PKO2’, ‘PKO3’. :rtype: list[str].

class nucleardatapy.matter.setup_pheno.setupPheno(model='Skyrme', param='SLY5')

Instantiate the object with results based on phenomenological interactions and choosen by the toolkit practitioner. This choice is defined in the variables model and param.

If models == ‘Skyrme’, param can be: ‘BSK14’, ‘BSK16’, ‘BSK17’, ‘BSK27’, ‘BSkG1’, ‘BSkG2’,’F-’, ‘F+’, ‘F0’, ‘FPL’, ‘LNS’, ‘LNS1’, ‘LNS5’, ‘NRAPR’, ‘RATP’, ‘SAMI’, ‘SGII’, ‘SIII’, ‘SKGSIGMA’, ‘SKI2’, ‘SKI4’, ‘SKMP’, ‘SKMS’, ‘SKO’, ‘SKOP’, ‘SKP’, ‘SKRSIGMA’, ‘SKX’, ‘Skz2’, ‘SLY4’, ‘SLY5’, ‘SLY230A’, ‘SLY230B’, ‘SV’, ‘T6’, ‘T44’, ‘UNEDF0’, ‘UNEDF1’.

If models == ‘ESkyrme’, param can be: ‘BSk22’, ‘BSk24’, ‘BSk25’, ‘BSk26’, ‘BSk31’, ‘BSk32’, ‘BSkG3’,’BSkG4’ .

If models == ‘Fayans’, param can be: ‘Fy(IVP)’, ‘Fy(Dr,HDB)’, ‘Fy(std)’ If models == ‘Gogny’, param can be: ‘D1S’, ‘D1’, ‘D250’, ‘D260’, ‘D280’, ‘D300’ If models == ‘NLRH’, param can be: ‘NL-SH’, ‘NL3’, ‘NL3II’, ‘PK1’, ‘PK1R’, ‘TM1’.

If models == ‘DDRH’, param can be: ‘DDME1’, ‘DDME2’, ‘DDMEd’, ‘PKDD’, ‘TW99’.

If models == ‘DDRHF’, param can be: ‘PKA1’, ‘PKO1’, ‘PKO2’, ‘PKO3’.

Parameters:

• model (str, optional.) – Fix the name of model: ‘Skyrme’, ‘NLRH’, ‘DDRH’, ‘DDRHF’. Default value: ‘Skyrme’.

• param (str, optional.) – Fix the parameterization associated to model. Default value: ‘SLY5’.

Attributes:

init_self()

Initialize variables in self.

label

Attribute providing the label the data is references for figures.

model

Attribute model.

note

Attribute providing additional notes about the data.

param

Attribute param.

print_outputs()

Method which print outputs on terminal’s screen.

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

This figure shows the energy in neutron matter (NM) over the free Fermi gas energy (top) and the energy per particle (bottom) as function of the density (left) and the neutron Fermi momentum (right) for the complete list of phenomenological models based on non-linear meson(s) relativistic Hartree (NLRH) approach available in the nucleardatapy toolkit.

This figure shows the energy in symmetric matter (SM) over the free Fermi gas energy (top) and the energy per particle (bottom) as function of the density (left) and the neutron Fermi momentum (right) for the complete list of phenomenological models based on non-linear meson(s) relativistic Hartree (NLRH) approach available in the nucleardatapy toolkit.

This figure shows the energy in neutron matter (NM) over the free Fermi gas energy (top) and the energy per particle (bottom) as function of the density (left) and the neutron Fermi momentum (right) for the complete list of phenomenological models based on density-dependent relativistic Hartree (DDRH) approach available in the nucleardatapy toolkit.

This figure shows the energy in symmetric matter (SM) over the free Fermi gas energy (top) and the energy per particle (bottom) as function of the density (left) and the neutron Fermi momentum (right) for the complete list of phenomenological models based on density-dependent relativistic Hartree (DDRH) approach available in the nucleardatapy toolkit.

This figure shows the energy in neutron matter (NM) over the free Fermi gas energy (top) and the energy per particle (bottom) as function of the density (left) and the neutron Fermi momentum (right) for the complete list of phenomenological models based on density-dependent relativistic Hartree-Fock (DDRHF) approach available in the nucleardatapy toolkit.

This figure shows the energy in symmetric matter (SM) over the free Fermi gas energy (top) and the energy per particle (bottom) as function of the density (left) and the neutron Fermi momentum (right) for the complete list of phenomenological models based on density-dependent relativistic Hartree-Fock (DDRHF) approach available in the nucleardatapy toolkit.

This figure shows the energy in neutron matter (NM) over the free Fermi gas energy (top) and the energy per particle (bottom) as function of the density (left) and the neutron Fermi momentum (right) for the complete list of phenomenological models based on the standard Skyrme interactions available in the nucleardatapy toolkit.

This figure shows the energy in symmetric matter (SM) over the free Fermi gas energy (top) and the energy per particle (bottom) as function of the density (left) and the neutron Fermi momentum (right) for the complete list of phenomenological models based on the standard Skyrme interactions available in the nucleardatapy toolkit.

This figure shows the energy in neutron matter (NM) over the free Fermi gas energy (top) and the energy per particle (bottom) as function of the density (left) and the neutron Fermi momentum (right) for the complete list of phenomenological models based on the extended ESkyrme interactions available in the nucleardatapy toolkit.

This figure shows the energy in symmetric matter (SM) over the free Fermi gas energy (top) and the energy per particle (bottom) as function of the density (left) and the neutron Fermi momentum (right) for the complete list of phenomenological models based on the extended ESkyrme interactions available in the nucleardatapy toolkit.

Distribution of NEP for phenomenological models available in the nucleardatapy toolkit.