/
h2co_grids.py
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/
h2co_grids.py
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import pyradex
import pylab as pl
import numpy as np
import matplotlib
ntemp,ndens = 20,20
temperatures = np.linspace(10,50,ntemp)
densities = np.logspace(2.5,7,ndens)
abundance = 10**-8.5
opr = 0.01 # assume primarily para
fortho = opr/(1+opr)
taugrid_6 = np.empty([ndens,ntemp])
texgrid_6 = np.empty([ndens,ntemp])
fluxgrid_6 = np.empty([ndens,ntemp])
taugrid_140 = np.empty([ndens,ntemp])
texgrid_140 = np.empty([ndens,ntemp])
fluxgrid_140 = np.empty([ndens,ntemp])
taugrid_150 = np.empty([ndens,ntemp])
texgrid_150 = np.empty([ndens,ntemp])
fluxgrid_150 = np.empty([ndens,ntemp])
columngrid = np.empty([ndens,ntemp])
import os
if not os.path.exists('oh2co-h2.dat'):
import urllib
urllib.urlretrieve('http://home.strw.leidenuniv.nl/~moldata/datafiles/oh2co-h2.dat')
R = pyradex.Radex(species='oh2co-h2', abundance=abundance)
R.run_radex()
# get the table so we can look at the frequency grid
table = R.get_table()
# Target frequencies:
table[np.array([0,1,3])].pprint()
for ii,tt in enumerate(temperatures):
R.temperature = tt
for jj,dd in enumerate(densities):
R.density = {'oH2':dd*fortho,'pH2':dd*(1-fortho)}
R.abundance = abundance # reset column to the appropriate value
R.run_radex(reuse_last=False, reload_molfile=True)
TI = R.source_brightness
taugrid_6[jj,ii] = R.tau[0]
texgrid_6[jj,ii] = R.tex[0].value
fluxgrid_6[jj,ii] = TI[0].value
taugrid_140[jj,ii] = R.tau[1]
texgrid_140[jj,ii] = R.tex[1].value
fluxgrid_140[jj,ii] = TI[1].value
taugrid_150[jj,ii] = R.tau[3]
texgrid_150[jj,ii] = R.tex[3].value
fluxgrid_150[jj,ii] = TI[3].value
columngrid[jj,ii] = R.column.value
pl.figure(1)
pl.clf()
extent = [densities.min(),densities.max(),temperatures.min(),temperatures.max()]
for kk,(grid,freq,label) in enumerate(zip([taugrid_140,taugrid_150,texgrid_140,texgrid_150],['140','150','140','150'],[r'\tau',r'\tau','T_{ex}','T_{ex}'])):
ax = pl.subplot(2,2,kk+1)
#ax.imshow(grid, extent=extent)
ax.pcolormesh(np.log10(densities),temperatures,grid)
ax.set_title('$%s$ o-H$_2$CO %s GHz' % (label,freq))
ax.set_xlabel('log Density')
ax.set_ylabel('Temperature')
pl.figure(2)
pl.clf()
ax = pl.subplot(2,1,1)
#ax.imshow(grid, extent=extent)
cax = ax.pcolormesh(np.log10(densities),temperatures,taugrid_140/taugrid_150, vmax=1.3, vmin=0.8)
pl.colorbar(cax)
ax.set_title('$\\tau$ o-H$_2$CO 140/150 GHz')
ax.set_xlabel('log Density')
ax.set_ylabel('Temperature')
ax = pl.subplot(2,1,2)
#ax.imshow(grid, extent=extent)
cax = ax.pcolormesh(np.log10(densities),temperatures,texgrid_140/texgrid_150, vmax=1.3, vmin=0.8)
pl.colorbar(cax)
ax.set_title('$T_{ex}$ o-H$_2$CO 140/150 GHz')
ax.set_xlabel('log Density')
ax.set_ylabel('Temperature')
pl.figure(3)
pl.clf()
ax = pl.subplot(2,1,1)
#ax.imshow(grid, extent=extent)
cax = ax.pcolormesh(np.log10(densities),temperatures,taugrid_6/taugrid_150, vmax=0.5, vmin=0.01)
pl.colorbar(cax)
ax.set_title('$\\tau$ o-H$_2$CO 6/150 GHz')
ax.set_xlabel('log Density')
ax.set_ylabel('Temperature')
ax = pl.subplot(2,1,2)
#ax.imshow(grid, extent=extent)
cax = ax.pcolormesh(np.log10(densities),temperatures,texgrid_6/texgrid_150, vmax=2, vmin=0.1)
pl.colorbar(cax)
ax.set_title('$T_{ex}$ o-H$_2$CO 6/150 GHz')
ax.set_xlabel('log Density')
ax.set_ylabel('Temperature')
pl.figure(4)
pl.clf()
extent = [densities.min(),densities.max(),temperatures.min(),temperatures.max()]
for kk,freq in enumerate([6,140,150]):
ax = pl.subplot(2,2,kk+1)
grid = eval('fluxgrid_%i' % freq)
#ax.imshow(grid, extent=extent)
ax.pcolormesh(np.log10(densities),temperatures,grid)
ax.set_title('Flux o-H$_2$CO %i GHz' % (freq))
ax.set_xlabel('log Density')
ax.set_ylabel('Temperature')
pl.figure(6)
pl.clf()
ax = pl.subplot(2,1,1)
#ax.imshow(grid, extent=extent)
cax = ax.pcolormesh(np.log10(densities),temperatures,fluxgrid_6/fluxgrid_150, vmax=0.01, vmin=0)
pl.colorbar(cax)
ax.set_title('$S_{\\nu}$ o-H$_2$CO 6/150 GHz')
ax.set_xlabel('log Density')
ax.set_ylabel('Temperature')
ax = pl.subplot(2,1,2)
#ax.imshow(grid, extent=extent)
cax = ax.pcolormesh(np.log10(densities),temperatures,fluxgrid_140/fluxgrid_150, vmax=1.2, vmin=0.8)
pl.colorbar(cax)
ax.set_title('$S_{\\nu}$ o-H$_2$CO 140/150 GHz')
ax.set_xlabel('log Density')
ax.set_ylabel('Temperature')
pl.show()