import numpy as np
import matplotlib.pyplot as plt
import nucleardatapy as nuda
[docs]
def eos_setupAM_e2a_asy_tot_fig( pname, micro_mbs, pheno_models, asy, band ):
"""
Plot the total (nucleon+leptonic) contribution to the energy per nucleon in asymmetric matter controlled by the variable `asy` (defined as (N-Z)/A).
The plot is 1x2 with:
[0]: microscopic models. [1]: phenomenologic models.
:param pname: name of the figure (*.png)
:type pname: str.
:param micro_mbs: array with names of many-body framework for microscopic interactions.
:type micro_mbs: array of str.
:param pheno_models: array of interaction names for phenomenologic interactions.
:type pheno_models: array of str.
:param asy: asymmetry parameter defined as (N-Z)/A.
:type asy: real.
:param band: object instantiated on the reference band.
:type band: object.
"""
#
print(f'Plot name: {pname}')
#
fig, axs = plt.subplots(1,2)
fig.subplots_adjust(left=0.10, bottom=0.12, right=0.95, top=0.90, wspace=0.05, hspace=0.3 )
#
axs[0].set_xlabel(r'$n_\text{nuc}$ (fm$^{-3}$)',fontsize='14')
axs[0].set_ylabel(r'$e_\text{tot}^\text{int}$ (MeV)',fontsize='14')
axs[0].set_xlim([0, 0.33])
axs[0].set_ylim([-10, 35])
#
axs[1].set_xlabel(r'$n_\text{nuc}$ (fm$^{-3}$)',fontsize='14')
#axs[1].set_ylabel(r'$E/A$')
axs[1].set_xlim([0, 0.33])
axs[1].set_ylim([-10, 35])
axs[1].tick_params('y', labelleft=False)
#
mb_check = []
#
for kmb,mb in enumerate(micro_mbs):
#
print('mb:',mb,kmb)
#
models, models_lower = nuda.matter.micro_esym_models_mb( mb )
#
print('models:',models)
#
if mb == 'VAR':
models.remove('1998-VAR-AM-APR-fit')
models_lower.remove('1998-var-am-apr-fit')
#
for model in models:
#
micro = nuda.eos.setupAM( model = model, kind = 'micro', asy = asy )
if nuda.env.verb_output: micro.print_outputs( )
#
check = nuda.matter.setupCheck( eos = micro, band = band )
#
if check.isInside:
lstyle = 'solid'
else:
lstyle = 'dashed'
#continue
#
if micro.e2a_int_tot is not None:
print('model:',model)
if mb in mb_check:
axs[0].plot( micro.den, micro.e2a_int_tot, marker='o', linestyle=lstyle, markevery=micro.every, color=nuda.param.col[kmb] )
else:
mb_check.append(mb)
axs[0].plot( micro.den, micro.e2a_int_tot, marker='o', linestyle=lstyle, label=mb, markevery=micro.every, color=nuda.param.col[kmb] )
# end of model
# end of mb
#
axs[0].text(0.02,-8,'microscopic models',fontsize='10')
axs[0].text(0.02,-9.5,r'for $\delta=$'+str(asy),fontsize='10')
#
model_check = []
#
for kmodel,model in enumerate(pheno_models):
#
params, params_lower = nuda.matter.pheno_esym_params( model = model )
#
for param in params:
#
pheno = nuda.eos.setupAM( model = model, param = param, kind = 'pheno', asy = asy )
if nuda.env.verb_output: pheno.print_outputs( )
#
check = nuda.matter.setupCheck( eos = pheno, band = band )
#
if check.isInside:
lstyle = 'solid'
else:
lstyle = 'dashed'
#continue
#
if pheno.e2a_int_tot is not None:
print('model:',model,' param:',param)
#beta.label=None
if model in model_check:
axs[1].plot( pheno.den, pheno.e2a_int_tot, linestyle=lstyle, markevery=pheno.every, color=nuda.param.col[kmodel] )
else:
model_check.append(model)
axs[1].plot( pheno.den, pheno.e2a_int_tot, linestyle=lstyle, label=model, markevery=pheno.every, color=nuda.param.col[kmodel] )
# end of param
# end of model
#
axs[1].text(0.02,-8,'phenomenological models',fontsize='10')
axs[1].text(0.02,-9.5,r'for $\delta=$'+str(asy),fontsize='10')
#
fig.legend(loc='upper left',bbox_to_anchor=(0.15,1.0),columnspacing=2,fontsize='8',ncol=5,frameon=False)
#
if pname is not None:
plt.savefig(pname, dpi=200)
plt.close()
#
[docs]
def eos_setupAM_pre_asy_tot_fig( pname, micro_mbs, pheno_models, asy, band ):
"""
Plot the total (nucleon+leptonic) contribution to the pressure in asymmetric matter controlled by the variable `asy` (defined as (N-Z)/A).
The plot is 1x2 with:
[0]: microscopic models. [1]: phenomenologic models.
:param pname: name of the figure (*.png)
:type pname: str.
:param micro_mbs: array with names of many-body framework for microscopic interactions.
:type micro_mbs: array of str.
:param pheno_models: array of interaction names for phenomenologic interactions.
:type pheno_models: array of str.
:param asy: asymmetry parameter defined as (N-Z)/A.
:type asy: real.
:param band: object instantiated on the reference band.
:type band: object.
"""
#
print(f'Plot name: {pname}')
#
fig, axs = plt.subplots(1,2)
fig.subplots_adjust(left=0.10, bottom=0.12, right=0.95, top=0.90, wspace=0.05, hspace=0.3 )
#
axs[0].set_xlabel(r'$n_\text{nuc}$ (fm$^{-3}$)',fontsize='14')
axs[0].set_ylabel(r'$p_\text{tot}$ (MeV fm$^{-3}$)',fontsize='14')
axs[0].set_xlim([0, 0.33])
axs[0].set_ylim([-10, 35])
#
axs[1].set_xlabel(r'$n_\text{nuc}$ (fm$^{-3}$)',fontsize='14')
#axs[1].set_ylabel(r'$E/A$')
axs[1].set_xlim([0, 0.33])
axs[1].set_ylim([-10, 35])
axs[1].tick_params('y', labelleft=False)
#
mb_check = []
#
for kmb,mb in enumerate(micro_mbs):
#
print('mb:',mb,kmb)
#
models, models_lower = nuda.matter.micro_esym_models_mb( mb )
#
print('models:',models)
#
if mb == 'VAR':
models.remove('1998-VAR-AM-APR-fit')
models_lower.remove('1998-var-am-apr-fit')
#
for model in models:
#
micro = nuda.eos.setupAM( model = model, kind = 'micro', asy = asy )
if nuda.env.verb_output: micro.print_outputs( )
#
check = nuda.matter.setupCheck( eos = micro, band = band )
#
if check.isInside:
lstyle = 'solid'
else:
lstyle = 'dashed'
#continue
#
if micro.pre_tot is not None:
print('model:',model)
if mb in mb_check:
axs[0].plot( micro.den, micro.pre_tot, marker='o', linestyle=lstyle, markevery=micro.every, color=nuda.param.col[kmb] )
else:
mb_check.append(mb)
axs[0].plot( micro.den, micro.pre_tot, marker='o', linestyle=lstyle, label=mb, markevery=micro.every, color=nuda.param.col[kmb] )
# end of model
# end of mb
#
axs[0].text(0.02,-8,'microscopic models',fontsize='10')
axs[0].text(0.02,-9.5,r'for $\delta=$'+str(asy),fontsize='10')
#
model_check = []
#
for kmodel,model in enumerate(pheno_models):
#
params, params_lower = nuda.matter.pheno_esym_params( model = model )
#
for param in params:
#
pheno = nuda.eos.setupAM( model = model, param = param, kind = 'pheno', asy = asy )
if nuda.env.verb_output: pheno.print_outputs( )
#
check = nuda.matter.setupCheck( eos = pheno, band = band )
#
if check.isInside:
lstyle = 'solid'
else:
lstyle = 'dashed'
#continue
#
if pheno.pre_tot is not None:
print('model:',model,' param:',param)
#beta.label=None
if model in model_check:
axs[1].plot( pheno.den, pheno.pre_tot, linestyle=lstyle, markevery=pheno.every, color=nuda.param.col[kmodel] )
else:
model_check.append(model)
axs[1].plot( pheno.den, pheno.pre_tot, linestyle=lstyle, label=model, markevery=pheno.every, color=nuda.param.col[kmodel] )
# end of param
# end of model
#
axs[1].text(0.02,-8,'phenomenological models',fontsize='10')
axs[1].text(0.02,-9.5,r'for $\delta=$'+str(asy),fontsize='10')
#
fig.legend(loc='upper left',bbox_to_anchor=(0.15,1.0),columnspacing=2,fontsize='8',ncol=5,frameon=False)
#
if pname is not None:
plt.savefig(pname, dpi=200)
plt.close()
#
[docs]
def eos_setupAM_cs2_asy_tot_fig( pname, micro_mbs, pheno_models, asy, band ):
"""
Plot the total (nucleon+leptonic) contribution to the square of the sound speed in asymmetric matter controlled by the variable `asy` (defined as (N-Z)/A).
The plot is 1x2 with:
[0]: microscopic models. [1]: phenomenologic models.
:param pname: name of the figure (*.png)
:type pname: str.
:param micro_mbs: array with names of many-body framework for microscopic interactions.
:type micro_mbs: array of str.
:param pheno_models: array of interaction names for phenomenologic interactions.
:type pheno_models: array of str.
:param asy: asymmetry parameter defined as (N-Z)/A.
:type asy: real.
:param band: object instantiated on the reference band.
:type band: object.
"""
#
print(f'Plot name: {pname}')
#
fig, axs = plt.subplots(1,2)
fig.subplots_adjust(left=0.10, bottom=0.12, right=0.95, top=0.90, wspace=0.05, hspace=0.3 )
#
axs[0].set_xlabel(r'$n_\text{nuc}$ (fm$^{-3}$)',fontsize='14')
axs[0].set_ylabel(r'$c_\text{s,tot}^2/c^2$',fontsize='14')
axs[0].set_xlim([0, 0.33])
axs[0].set_ylim([-0.05, 0.25])
#
axs[1].set_xlabel(r'$n_\text{nuc}$ (fm$^{-3}$)',fontsize='14')
#axs[1].set_ylabel(r'$E/A$')
axs[1].set_xlim([0, 0.33])
axs[1].set_ylim([-0.05, 0.25])
axs[1].tick_params('y', labelleft=False)
#
mb_check = []
#
for kmb,mb in enumerate(micro_mbs):
#
print('mb:',mb,kmb)
#
models, models_lower = nuda.matter.micro_esym_models_mb( mb )
#
print('models:',models)
#
if mb == 'VAR':
models.remove('1998-VAR-AM-APR-fit')
models_lower.remove('1998-var-am-apr-fit')
#
for model in models:
#
micro = nuda.eos.setupAM( model = model, kind = 'micro', asy = asy )
if nuda.env.verb_output: micro.print_outputs( )
#
check = nuda.matter.setupCheck( eos = micro, band = band )
#
if check.isInside:
lstyle = 'solid'
else:
lstyle = 'dashed'
#continue
#
if micro.cs2_tot is not None:
print('model:',model)
if mb in mb_check:
axs[0].plot( micro.den, micro.cs2_tot, marker='o', linestyle=lstyle, markevery=micro.every, color=nuda.param.col[kmb] )
else:
mb_check.append(mb)
axs[0].plot( micro.den, micro.cs2_tot, marker='o', linestyle=lstyle, label=mb, markevery=micro.every, color=nuda.param.col[kmb] )
# end of model
# end of mb
#
axs[0].text(0.02,-8,'microscopic models',fontsize='10')
axs[0].text(0.02,-9.5,r'for $\delta=$'+str(asy),fontsize='10')
#
model_check = []
#
for kmodel,model in enumerate(pheno_models):
#
params, params_lower = nuda.matter.pheno_esym_params( model = model )
#
for param in params:
#
pheno = nuda.eos.setupAM( model = model, param = param, kind = 'pheno', asy = asy )
if nuda.env.verb_output: pheno.print_outputs( )
#
check = nuda.matter.setupCheck( eos = pheno, band = band )
#
if check.isInside:
lstyle = 'solid'
else:
lstyle = 'dashed'
#continue
#
if pheno.cs2_tot is not None:
print('model:',model,' param:',param)
#beta.label=None
if model in model_check:
axs[1].plot( pheno.den, pheno.cs2_tot, linestyle=lstyle, markevery=pheno.every, color=nuda.param.col[kmodel] )
else:
model_check.append(model)
axs[1].plot( pheno.den, pheno.cs2_tot, linestyle=lstyle, label=model, markevery=pheno.every, color=nuda.param.col[kmodel] )
# end of param
# end of model
#
axs[1].text(0.02,-8,'phenomenological models',fontsize='10')
axs[1].text(0.02,-9.5,r'for $\delta=$'+str(asy),fontsize='10')
#
fig.legend(loc='upper left',bbox_to_anchor=(0.15,1.0),columnspacing=2,fontsize='8',ncol=5,frameon=False)
#
if pname is not None:
plt.savefig(pname, dpi=200)
plt.close()
#