eos.setupAM

class nucleardatapy.eos.setup_am.setupAM(model='1998-VAR-AM-APR', param=None, kind='micro', asy=0.0, x_mu=0.0)[source]

Instantiate the object with microscopic results choosen by the toolkit practitioner.

Parameters:

  • model (str, optional.) – Fix the name of model. Default value: ‘1998-VAR-AM-APR’.

  • kind (str, optional.) – chose between ‘micro’ and ‘pheno’.

Attributes:

Parameters:

  • model (str, optional)

  • between (The model to consider. Choose)

  • kind (chose between 'micro' or 'pheno'.)

  • var2 (var1 and)

  • np.array([0.1 (var1 =)

  • 0.15

  • 0.16

  • 0.17

  • 0.2

  • 0.25])

init_self()[source]

Initialize variables in self.

model

Attribute model.

print_outputs()[source]

Method which print outputs on terminal’s screen.

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

map to buried treasure

This figure shows the energy per particle in asymmetric matter (AM) with d=0.5. (left) Microscopic models and (right) phenomenological models available in the nucleardatapy toolkit.