def test_w03Temp_vs_pressureTemp():
import matplotlib.pyplot as plt
from myscience import wolfire03 as w03
from myscience import calc_temperature
import numpy as np
# range of densities to compare
n = np.logspace(0,2,100)
# get Wolfire+03 temperatures for several rad fields
G_0_list = [0.6, 0.8, 0.64,]
cloud_list = ['California', 'Perseus', 'Taurus']
temp_w03_list = []
for G_0 in G_0_list:
temp_w03_list.append(w03.calc_T(n, G_0=G_0))
# get temperatures assumes regular pressure equilibrium
temp_pressure = calc_temperature(n_H=n, calc_error=False)
# Plot the figure
# -----------------------------------------------------------------------------
figure = plt.figure(figsize=(5,5))
for i in xrange(len(G_0_list)):
G_0 = G_0_list[i]
cloud = cloud_list[i]
temp_w03 = temp_w03_list[i]
plt.plot(n, temp_w03,
linestyle='--',
linewidth='2',
label='W+03, $G_0$={0:.2f}, {1:s}'.format(G_0, cloud),
)
plt.plot(n, temp_pressure,
linestyle='-',
linewidth=2,
label='Ideal Gas Law',
)
plt.xlabel(r'$n$ [cm$^{-3}$]')
plt.ylabel(r'$T$ [K]')
plt.xscale('log')
plt.yscale('log')
plt.legend(loc='best')
plt.savefig('test_plots/myscience_test.test_w03Temp_vs_pressureTemp.png')
def add_model_params(core_dict):
from myscience import calc_radiation_field, calc_temperature
import myscience.sternberg14 as mys14
import myscience.krumholz09 as myk09
''' need the following parameters
Cloud Name} &
Core Name} &
Alternate Name} &
$T_{\rm dust}$} &
$U$} &
\aG} &
\phicnm} &
\hisd\ Threshold} &
$n$} &
$T_{\rm CNM}$} \\
'''
clouds_printed = []
for core_name in core_dict:
core = core_dict[core_name]
temp = core['dust_temp_median']
temp_error = core['dust_temp_median_error']
core['rad_field'], core['rad_field_error'] = \
calc_radiation_field(temp,
T_dust_error=temp_error)
cloud = core_dict[core_name]['cloud']
#rad_error = np.sort((calc_radiation_field(temp + temp_error),
# calc_radiation_field(temp - temp_error)))
#core['rad_field_error'] = rad_error
for param in core['sternberg']:
if type(core['sternberg'][param]) is tuple:
core['sternberg'][param] = np.array(core['sternberg'][param])
for param in core['krumholz']:
if type(core['krumholz'][param]) is tuple:
core['krumholz'][param] = np.array(core['krumholz'][param])
# Sternberg params
# =======================================================================
# calculate n_H and error
# -----------------------------------------------------------------------
core['n_H'], core['n_H_error'] = \
mys14.calc_n_H(I_UV=core['rad_field_draine_median'],
alphaG=core['sternberg']['alphaG'],
phi_g=core['sternberg']['phi_g'],
Z_g=core['sternberg']['Z'],
I_UV_error=core['rad_field_draine_median_error'],
alphaG_error=core['sternberg']['alphaG_error'],
Z_g_error=core['sternberg']['Z_error'],
)
core['w'], core['w_error'] = \
mys14.calc_w(phi_g=core['sternberg']['phi_g'],
phi_g_error=core['sternberg']['phi_g_error'],
Z_g=core['sternberg']['Z'],
Z_g_error=core['sternberg']['Z_error'],
)
core['chi_s14'], core['chi_s14_error'] = \
mys14.calc_chi(alphaG=core['sternberg']['alphaG'],
alphaG_error=core['sternberg']['alphaG_error'],
w=core['w'],
w_error=core['w_error'],
)
#if core['n_H'] <= 0:
# core['n_H'] = 10
#core['n_H_error'] = [0.1 * core['n_H'], 0.1 * core['n_H']]
if 0:
core['T_H'] = calc_temperature(n_H=core['n_H'],
pressure=3000.0) / 1000.0
core['T_H_error'] = np.array([0.1 * core['T_H'], 0.1 * core['T_H']])
T_H_error = np.sort((calc_temperature(core['n_H'] - \
core['n_H_error'][1]),
calc_temperature(core['n_H'] + \
core['n_H_error'][0])))
core['T_H_error'] = T_H_error / 1000.0
if abs(core['T_H_error'][0]) > core['T_H']:
core['T_H_error'][0] = core['T_H']
pressure = 3700.0
pressure_error = (1200.0, 1200.0)
core['T_H'], core['T_H_error'] = \
calc_temperature(n_H=core['n_H'],
pressure=pressure,
pressure_error=pressure_error,
n_H_error=core['n_H_error'])
core['T_H'] /= 1000.0
core['T_H_error'] = np.array(core['T_H_error']) / 1000.0
# Krumholz params
# =======================================================================
krumholz_pressure_calc = True
if krumholz_pressure_calc:
# get the minimum CNM density, calculate n_CNM with phi_CNM, then
# calculate temperature given galactic pressure between WNM and CNM
#print('Cloud:', cloud)
#print('Krumholz rad habing field:', core['rad_field_habing_median'])
#print('Krumholz rad draine field:', core['rad_field_draine_median'])
n_min, n_min_error = \
myk09.calc_n_min(G_0=core['rad_field_draine_median'],
G_0_error=core['rad_field_draine_median_error'],
Z=1.0,
calc_error=True,
)
phi_cnm = core['krumholz']['phi_cnm']
phi_cnm_error = core['krumholz']['phi_cnm_error']
Z = core['krumholz']['Z']
Z_error = core['krumholz']['Z_error']
sigma_d = core['krumholz']['sigma_d']
sigma_d_error = core['krumholz']['sigma_d_error']
core['n_cnm'] = n_min * phi_cnm
core['n_cnm_error'] = ((phi_cnm * n_min_error)**2 + \
(n_min * phi_cnm_error)**2)**0.5
if 0:
if cloud == 'perseus':
print 'habing median', core['rad_field_habing_median']
print 'phi_cnm', phi_cnm
print 'n_cnm', core['n_cnm']
#print core['n_cnm_error']
core['T_cnm'], core['T_cnm_error'] = \
calc_temperature(n_H=core['n_cnm'],
pressure=pressure,
pressure_error=pressure_error,
n_H_error=core['n_cnm_error'])
core['chi'], core['chi_error'] =\
myk09.calc_chi(phi_cnm=phi_cnm,
phi_cnm_error=phi_cnm_error,
Z=Z,
Z_error=Z_error,
sigma_d=sigma_d,
sigma_d_error=sigma_d_error,
)
else:
core['T_cnm'], core['T_cnm_error'] = \
myk09.calc_T_cnm(core['krumholz']['phi_cnm'],
phi_cnm_error=core['krumholz']['phi_cnm_error'],
calc_error=True,
)
core['n_cnm'], core['n_cnm_error'] = \
myk09.calc_n_cnm(G_0=(core['rad_field'] / 1.7),
G_0_error=(core['rad_field_error'] / 1.7),
T_cnm=core['T_cnm'],
T_cnm_error=core['T_cnm_error'],
calc_error=True,
)
core['T_cnm'], core['T_cnm_error'] = \
calc_temperature(n_H=core['n_cnm'],
pressure=pressure,
pressure_error=pressure_error,
n_H_error=core['n_cnm_error'])
core['alt_name'] = get_alt_name(core_name)
