colorlabel=r'$\rho [cm^{-3}]$',
                     output='3Dpoints%s.png' % tag,
                     show=False)

#----------------------------------------
#2D PLOTTING (Density and Temperature)
#----------------------------------------

vmin, vmax = np.array([9e15, 5e19]) / 1e6
norm = colors.LogNorm(vmin=vmin, vmax=vmax)

Plot_model.plane2D(GRID,
                   dens_plot,
                   axisunit=u.au,
                   cmap='ocean_r',
                   plane={'z': 0 * u.au},
                   norm=norm,
                   colorlabel=r'$[\rm cm^{-3}]$',
                   output='DensMidplane_%s.png' % tag,
                   show=False)

vmin, vmax = np.array([5e14, 1e18]) / 1e6
norm = colors.LogNorm(vmin=vmin, vmax=vmax)

Plot_model.plane2D(GRID,
                   dens_plot,
                   axisunit=u.au,
                   cmap='ocean_r',
                   plane={'y': 0 * u.au},
                   norm=norm,
                   colorlabel=r'$[\rm cm^{-3}]$',
}

Model.PrintProperties(density, temperature, GRID)
print('Ellapsed time: %.3fs' % (time.time() - t0))
print(
    '-------------------------------------------------\n-------------------------------------------------\n'
)

#---------------
#PLOTTING 2D z=0
#---------------
Plot_model.plane2D(GRID,
                   prop['dens_H'],
                   axisunit=u.au,
                   plane={'z': 0},
                   norm=LogNorm(vmin=1e9, vmax=1e14),
                   colorlabel=r'$n_{H}$ $\rm{[m^{-3}]}$',
                   cmap='cubehelix',
                   output='densH_2D.png',
                   show=True)

Plot_model.plane2D(GRID,
                   prop['temp_gas'],
                   axisunit=u.au,
                   plane={'z': 0},
                   norm=LogNorm(vmin=1e1, vmax=1e3),
                   colorlabel=r'T [K]',
                   cmap='hot',
                   output='tempgas_2D.png',
                   show=True)
        [-u.TSun]
    ],  #flux --> if negative, radmc assumes the input number as the blackbody temperature of the star 
    lam=wavelength_intervals,
    nxx=wavelength_divisions)
radmc.write_wavelength_micron(
    lam=wavelength_intervals, nxx=wavelength_divisions
)  #lam --> wavelengths in microns, nxx --> number of divisions in between wavelengths

Model.PrintProperties(density, temperature, GRID)

#---------------
#PLOTTING 2D z=0
#---------------
Plot_model.plane2D(GRID,
                   prop['dens_H2'],
                   axisunit=u.au,
                   plane={'z': 0},
                   norm=LogNorm(vmin=1e9, vmax=1e13),
                   output='densH2_2D.png')
Plot_model.plane2D(GRID,
                   prop['temp_gas'],
                   axisunit=u.au,
                   plane={'z': 0},
                   norm=LogNorm(vmin=1e1, vmax=1e3),
                   output='tempgas_2D.png')

#-------
#TIMING
#-------
print('Ellapsed time: %.3fs' % (time.time() - t0))
print(
    '-------------------------------------------------\n-------------------------------------------------\n'
Exemplo n.º 4
0
                     colorlabel=r'${\rm log}_{10}(r [au])$',
                     output='3Dpoints%s.png' % tag,
                     show=False)

#---------------------
#2D PLOTTING (Density)
#---------------------

vmin, vmax = np.array([2e13, 1e19]) / 1e6
norm = colors.LogNorm(vmin=vmin, vmax=vmax)

Plot_model.plane2D(GRID,
                   dens_plot,
                   axisunit=u.au,
                   cmap='jet',
                   plane={'z': 0 * u.au},
                   norm=norm,
                   colorlabel=r'$[\rm cm^{-3}]$',
                   output='DensMidplane_%s.png' % tag,
                   show=False)

vmin, vmax = np.array([1e13, 3e17]) / 1e6
norm = colors.LogNorm(vmin=vmin, vmax=vmax)

Plot_model.plane2D(GRID,
                   dens_plot,
                   axisunit=u.au,
                   cmap='jet',
                   plane={'y': 0 * u.au},
                   norm=norm,
                   colorlabel=r'$[\rm cm^{-3}]$',