eos.setupAMBeq

class nucleardatapy.eos.setup_am_Beq.setupAMBeq(model='1998-VAR-AM-APR', param=None, kind='micro', var1=array([0.01, 0.01393939, 0.01787879, 0.02181818, 0.02575758, 0.02969697, 0.03363636, 0.03757576, 0.04151515, 0.04545455, 0.04939394, 0.05333333, 0.05727273, 0.06121212, 0.06515152, 0.06909091, 0.0730303, 0.0769697, 0.08090909, 0.08484848, 0.08878788, 0.09272727, 0.09666667, 0.10060606, 0.10454545, 0.10848485, 0.11242424, 0.11636364, 0.12030303, 0.12424242, 0.12818182, 0.13212121, 0.13606061, 0.14, 0.14393939, 0.14787879, 0.15181818, 0.15575758, 0.15969697, 0.16363636, 0.16757576, 0.17151515, 0.17545455, 0.17939394, 0.18333333, 0.18727273, 0.19121212, 0.19515152, 0.19909091, 0.2030303, 0.2069697, 0.21090909, 0.21484848, 0.21878788, 0.22272727, 0.22666667, 0.23060606, 0.23454545, 0.23848485, 0.24242424, 0.24636364, 0.25030303, 0.25424242, 0.25818182, 0.26212121, 0.26606061, 0.27, 0.27393939, 0.27787879, 0.28181818, 0.28575758, 0.28969697, 0.29363636, 0.29757576, 0.30151515, 0.30545455, 0.30939394, 0.31333333, 0.31727273, 0.32121212, 0.32515152, 0.32909091, 0.3330303, 0.3369697, 0.34090909, 0.34484848, 0.34878788, 0.35272727, 0.35666667, 0.36060606, 0.36454545, 0.36848485, 0.37242424, 0.37636364, 0.38030303, 0.38424242, 0.38818182, 0.39212121, 0.39606061, 0.4]))[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_setupAMBeq_plot.py

map to buried treasure

This figure shows the electron fraction in asymmetric matter (AM) at beta-equilibrium with d=0.5. (left) Microscopic models and (right) phenomenological models available in the nucleardatapy toolkit.