Commit e15e34d606a7f455b27f44cb45ce7eb6d94c2b15
1 parent
b6361456
Exists in
master
ignored
Showing
1 changed file
with
0 additions
and
345 deletions
Show diff stats
test_plot.py deleted
... | ... | @@ -1,345 +0,0 @@ |
1 | -# -*- coding: utf-8 -*- | |
2 | -""" | |
3 | -Created on Sun Jul 17 14:31:57 2022 | |
4 | - | |
5 | -@author: frede | |
6 | -""" | |
7 | - | |
8 | -import main_program as mp | |
9 | -from astropy.table import Table | |
10 | -import four_levels_model as four_lvl | |
11 | -import matplotlib.pyplot as plt | |
12 | -import numpy as np | |
13 | - | |
14 | -'''================================ initialization of parameters ================================''' | |
15 | - | |
16 | -filename = './converted/kp00_30000.txt' | |
17 | -star_radius = 5 | |
18 | -t_gas = 500 | |
19 | -n_e = 1.6 | |
20 | -n_c = 54 | |
21 | -parsec = 6.5e-8 | |
22 | -fc_pah = 0.1 | |
23 | -ISRF = False | |
24 | - | |
25 | -# test3 = mp.HeatingGas(filename, star_radius, t_gas, n_e, n_c, parsec, fc_pah, ISRF) | |
26 | -# test3.parameters() | |
27 | -# test4 = mp.HeatingGas(filename, star_radius, t_gas, n_e, n_c, parsec, fc_pah, ISRF) | |
28 | -# test4.parameters() | |
29 | - | |
30 | -''' parameter ''' | |
31 | -distance_list = np.array([parsec]) | |
32 | -for j in range(2,1002,1): | |
33 | - d = distance_list[0] | |
34 | - distance_list = np.append(distance_list, j * d) #in parsec | |
35 | - | |
36 | -test = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, n_c, parsec, fc_pah, ISRF) | |
37 | -test.parameters() | |
38 | - | |
39 | -# calculus=0 | |
40 | -# for i in distance_list: | |
41 | -# test = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, n_c, i, fc_pah, ISRF) | |
42 | -# test.parameters() | |
43 | -# calculus += test.total_gas_heating*1e-7/(test.g_0 * test.heating_efficiency * 0.1) | |
44 | - | |
45 | -# print('value = ',calculus/len(distance_list)) | |
46 | - | |
47 | -'''================================ plots ================================''' | |
48 | - | |
49 | -# ''' intensity per wavelength ''' | |
50 | -# plt.figure() | |
51 | -# plt.xlim([0,1500]) | |
52 | -# plt.plot(test.wavelength,test.wavelength_intensity*1e-3,'k') | |
53 | -# plt.ylabel('intensity spectrum (W m$^{-2}$ sr$^{-1}$ nm$^{-1}$)') | |
54 | -# plt.xlabel('wavelength (nm)') | |
55 | - | |
56 | -''' average of 3 sizes categories of pah of photoabsorption sigma | |
57 | -and photoionization sigma_ion cross sections per C atom of pahs | |
58 | -as functions of photon energy in eV''' | |
59 | - | |
60 | -''' conversion from mb/C atom to cmยฒ/C atom ''' | |
61 | -test.pah_cross_a = test.pah_cross_a*1e-18 | |
62 | -test.pah_cross_n = test.pah_cross_n*1e-18 | |
63 | -test.pah_cross_c = test.pah_cross_c*1e-18 | |
64 | -test.pah_cross_dc = test.pah_cross_dc*1e-18 | |
65 | - | |
66 | -''' small n_c ''' | |
67 | -test_small_n_c_1 = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, 32, parsec, fc_pah, ISRF) | |
68 | -test_small_n_c_2 = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, 36, parsec, fc_pah, ISRF) | |
69 | -test_small_n_c_3 = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, 38, parsec, fc_pah, ISRF) | |
70 | - | |
71 | -test_small_n_c_1.parameters() | |
72 | -test_small_n_c_2.parameters() | |
73 | -test_small_n_c_3.parameters() | |
74 | - | |
75 | -''' medium n_c ''' | |
76 | -test_medium_n_c_1 = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, 40, parsec, fc_pah, ISRF) | |
77 | -test_medium_n_c_2 = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, 42, parsec, fc_pah, ISRF) | |
78 | - | |
79 | -test_medium_n_c_1.parameters() | |
80 | -test_medium_n_c_2.parameters() | |
81 | - | |
82 | -''' large n_c ''' | |
83 | -test_large_n_c_1 = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, 48, parsec, fc_pah, ISRF) | |
84 | -test_large_n_c_2 = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, 54, parsec, fc_pah, ISRF) | |
85 | -test_large_n_c_3 = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, 66, parsec, fc_pah, ISRF) | |
86 | - | |
87 | -test_large_n_c_1.parameters() | |
88 | -test_large_n_c_2.parameters() | |
89 | -test_large_n_c_3.parameters() | |
90 | - | |
91 | -''' average of first and second photoionization yield ''' | |
92 | -yield_of_first_photoionization = (test_small_n_c_1.yield_of_first_photoionization +\ | |
93 | - test_small_n_c_2.yield_of_first_photoionization +\ | |
94 | - test_small_n_c_3.yield_of_first_photoionization +\ | |
95 | - test_medium_n_c_1.yield_of_first_photoionization +\ | |
96 | - 2*test_medium_n_c_2.yield_of_first_photoionization +\ | |
97 | - test_large_n_c_1.yield_of_first_photoionization +\ | |
98 | - test_large_n_c_2.yield_of_first_photoionization +\ | |
99 | - test_large_n_c_3.yield_of_first_photoionization )/9 | |
100 | -yield_of_second_photoionization = (test_small_n_c_1.yield_of_second_photoionization +\ | |
101 | - test_small_n_c_2.yield_of_second_photoionization +\ | |
102 | - test_small_n_c_3.yield_of_second_photoionization +\ | |
103 | - test_medium_n_c_1.yield_of_second_photoionization +\ | |
104 | - 2*test_medium_n_c_2.yield_of_second_photoionization +\ | |
105 | - test_large_n_c_1.yield_of_second_photoionization +\ | |
106 | - test_large_n_c_2.yield_of_second_photoionization +\ | |
107 | - test_large_n_c_3.yield_of_second_photoionization )/9 | |
108 | - | |
109 | -''' average of ionization cross-section for the cases of neutral molecules, and | |
110 | -cations ''' | |
111 | -ionization_cross_a = test.pah_cross_a * test.detachment_yield | |
112 | -ionization_cross_n = test.pah_cross_n * yield_of_first_photoionization | |
113 | -ionization_cross_c = test.pah_cross_c * yield_of_second_photoionization | |
114 | -#ionization_cross_dc is too small to be traced | |
115 | - | |
116 | -''' average of energy per cross-section for the cases of neutral molecules, | |
117 | -cations and dications ''' | |
118 | -energy = (test.energy_negative_charged + test.energy_neutral + test.energy_charged + test.energy_double_charged)/4 | |
119 | - | |
120 | -''' plot sigma and sigma_ion in cmยฒ/(C atom) as a function of photon energy in eV | |
121 | -for the cases of neutral, charged and double charged molecules ''' | |
122 | -plt.figure(figsize=(3.57,9.0)) | |
123 | - | |
124 | -plt.subplot(4,1,1) | |
125 | -plt.plot(test.energy_negative_charged,test.pah_cross_a,'k', label='$\sigma(E,Z)$') | |
126 | -plt.plot(energy,ionization_cross_a,'k',ls='--', label='$\sigma_{ion}(E,Z)$') | |
127 | -plt.title('Z=-1', fontsize = 10) | |
128 | -plt.legend(fontsize = 8) | |
129 | - | |
130 | -plt.subplot(4,1,2) | |
131 | -plt.plot(test.energy_neutral,test.pah_cross_n,'k') | |
132 | -plt.plot(energy,ionization_cross_n,'k',ls='--') | |
133 | -plt.title('Z=0', fontsize = 10) | |
134 | - | |
135 | -plt.subplot(4,1,3) | |
136 | -plt.plot(test.energy_neutral,test.pah_cross_c,'k') | |
137 | -plt.plot(energy,ionization_cross_c,'k',ls='--') | |
138 | -plt.title('Z=1', fontsize = 10) | |
139 | -plt.ylabel('Cross sections (cm$^2$/C)') | |
140 | - | |
141 | -plt.subplot(4,1,4) | |
142 | -plt.plot(test.energy_neutral,test.pah_cross_dc,'k') | |
143 | -plt.title('Z=2', fontsize = 10) | |
144 | -plt.xlabel('Photon energy (eV)') | |
145 | - | |
146 | -plt.subplots_adjust(hspace = 0.35) | |
147 | -plt.savefig('cross_ioni_section_categories.pdf', bbox_inches='tight') | |
148 | -if ISRF == False: | |
149 | - | |
150 | - ''' evolution of the different populations of neutral pah molecules, | |
151 | - # cations and dications as a function of the distance to the star considered ''' | |
152 | - | |
153 | - ''' parameter ''' | |
154 | - # population_frac3 = np.zeros([1, len(distance_list)]) | |
155 | - # population_frac4 = np.zeros([4, len(distance_list)]) | |
156 | - | |
157 | - ''' indentation ''' | |
158 | - # j=0 | |
159 | - # gamma_list3 = [] | |
160 | - # gamma_list4 = [] | |
161 | - # for i in distance_list: | |
162 | - # population_plot_test3 = mp.HeatingGas(filename, star_radius, t_gas, n_e, n_c, i, fc_pah, ISRF) | |
163 | - # population_plot_test3.parameters() | |
164 | - # population_frac3[0,j] =(population_plot_test3.frac_charged +\ | |
165 | - # population_plot_test3.frac_double_charged)/\ | |
166 | - # (population_plot_test3.frac_neutral +\ | |
167 | - # population_plot_test3.frac_charged +\ | |
168 | - # population_plot_test3.frac_double_charged) | |
169 | - # # population_frac3[0,j] = population_plot_test3.frac_neutral | |
170 | - # # population_frac3[1,j] = population_plot_test3.frac_charged | |
171 | - # # population_frac3[2,j] = population_plot_test3.frac_double_charged | |
172 | - # gamma_list3.append(population_plot_test3.gamma) | |
173 | - | |
174 | - # population_plot_test4 = four_lvl.HeatingGas(filename, star_radius, t_gas, n_e, n_c, i, fc_pah, ISRF) | |
175 | - # population_plot_test4.parameters() | |
176 | - # population_frac4[0,para] =(population_plot_test4.frac_anion +\ | |
177 | - # population_plot_test4.frac_charged +\ | |
178 | - # population_plot_test4.frac_double_charged)/\ | |
179 | - # (population_plot_test4.frac_anion +\ | |
180 | - # population_plot_test4.frac_neutral +\ | |
181 | - # population_plot_test4.frac_charged +\ | |
182 | - # population_plot_test4.frac_double_charged) | |
183 | - # population_frac4[0,j] = population_plot_test4.frac_anion | |
184 | - # population_frac4[1,j] = population_plot_test4.frac_neutral | |
185 | - # population_frac4[2,j] = population_plot_test4.frac_charged | |
186 | - # population_frac4[3,j] = population_plot_test4.frac_double_charged | |
187 | - # gamma_list4.append(population_plot_test4.gamma) | |
188 | - # j=j+1 | |
189 | - | |
190 | - ''' population fractions as function of the distance ''' | |
191 | - # plt.figure(figsize=(5.90,3.93)) | |
192 | - # plt.plot(gamma_list3,population_frac3[0,:],c='k',label='3 levels model') | |
193 | - # plt.plot(gamma_list4,population_frac4[0,:],ls='--', c='k',label='4 levels model') | |
194 | - # plt.xlim([1e1, 1e7]) | |
195 | - # plt.plot(gamma_list3, population_frac3[0,:], color = 'green', label='Z=0, 3 levels model') | |
196 | - # plt.plot(gamma_list3, population_frac3[1,:], color = 'blue', label='Z=1, 3 levels model') | |
197 | - # plt.plot(gamma_list3, population_frac3[2,:], color = 'red', label='Z=2, 3 levels model') | |
198 | - # plt.plot(gamma_list4, population_frac4[0,:], ls='--', color = 'k', label='Z=-1, 4 levels model') | |
199 | - # plt.plot(gamma_list4, population_frac4[1,:], ls='--', color = 'green', label='Z=0, 4 levels model') | |
200 | - # plt.plot(gamma_list4, population_frac4[2,:], ls='--', color = 'k', label='Z=1, 4 levels model') | |
201 | - # plt.plot(gamma_list4, population_frac4[3,:], ls='--', color = 'red', label='Z=2, 4 levels model') | |
202 | - # plt.plot(gamma_list3, population_frac3[0,:]+population_frac3[1,:]+population_frac3[2,:],'blue') | |
203 | - # plt.plot(gamma_list4, population_frac4[0,:]+population_frac4[1,:]+population_frac4[2,:]+population_frac4[3,:],'darkblue') | |
204 | - # plt.xlabel('$\gamma$ ($G_0\sqrt{T}/n_e$)') | |
205 | - # plt.ylabel('population fraction R$_i$') | |
206 | - # plt.legend() | |
207 | - | |
208 | - ''' photoelectric efficiencies with the pah heating model ''' | |
209 | - | |
210 | - # gamma_list_T_one3 = [] | |
211 | - # heating_efficiency_list_T_one3 = [] | |
212 | - | |
213 | - # gamma_list_T_two3 = [] | |
214 | - # heating_efficiency_list_T_two3 = [] | |
215 | - | |
216 | - # gamma_list_T_one4 = [] | |
217 | - # heating_efficiency_list_T_one4 = [] | |
218 | - | |
219 | - # gamma_list_T_two4 = [] | |
220 | - # heating_efficiency_list_T_two4 = [] | |
221 | - | |
222 | - # ratio1_1 = [] | |
223 | - # ratio2_1 = [] | |
224 | - # gamma_mean1_1 = [] | |
225 | - # gamma_mean2_1 = [] | |
226 | - # gamma_list_1 = [] | |
227 | - # j = 0 | |
228 | - # for i in distance_list: | |
229 | - # j = j+1 | |
230 | - # if j%100 == 0: | |
231 | - # print('Progression ร {}'.format(j/10),'%') | |
232 | - # print('') | |
233 | - # test_for_efficiencies_T_one3 = mp.HeatingGas(filename, star_radius, 100, n_e, 54, i, fc_pah, ISRF) | |
234 | - # test_for_efficiencies_T_one3.parameters() | |
235 | - # gamma_list_T_one3.append(test_for_efficiencies_T_one3.gamma) | |
236 | - # heating_efficiency_list_T_one3.append(test_for_efficiencies_T_one3.heating_efficiency) | |
237 | - | |
238 | - # test_for_efficiencies_T_two3 = mp.HeatingGas(filename, star_radius, 1000, n_e, 54, i, fc_pah, ISRF) | |
239 | - # test_for_efficiencies_T_two3.parameters() | |
240 | - # gamma_list_T_two3.append(test_for_efficiencies_T_two3.gamma) | |
241 | - # heating_efficiency_list_T_two3.append(test_for_efficiencies_T_two3.heating_efficiency) | |
242 | - | |
243 | - # test_for_efficiencies_T_one4 = four_lvl.HeatingGas(filename, star_radius, 100, n_e, n_c, i, fc_pah, ISRF) | |
244 | - # test_for_efficiencies_T_one4.parameters() | |
245 | - # gamma_list_T_one4.append(test_for_efficiencies_T_one4.gamma) | |
246 | - # heating_efficiency_list_T_one4.append(test_for_efficiencies_T_one4.heating_efficiency) | |
247 | - | |
248 | - # test_for_efficiencies_T_two4 = four_lvl.HeatingGas(filename, star_radius, 1000, n_e, n_c, i, fc_pah, ISRF) | |
249 | - # test_for_efficiencies_T_two4.parameters() | |
250 | - # gamma_list_T_two4.append(test_for_efficiencies_T_two4.gamma) | |
251 | - # heating_efficiency_list_T_two4.append(test_for_efficiencies_T_two4.heating_efficiency) | |
252 | - | |
253 | - # ratio1_1.append( (test_for_efficiencies_T_one3.heating_efficiency/test_for_efficiencies_T_one4.heating_efficiency)*100) | |
254 | - # ratio2_1.append( (test_for_efficiencies_T_two3.heating_efficiency/test_for_efficiencies_T_two4.heating_efficiency)*100) | |
255 | - # gamma_mean1_1.append( (test_for_efficiencies_T_one3.gamma + test_for_efficiencies_T_one4.gamma)/2 ) | |
256 | - # gamma_mean2_1.append( (test_for_efficiencies_T_two3.gamma + test_for_efficiencies_T_two4.gamma)/2 ) | |
257 | - | |
258 | - # plt.figure() | |
259 | - # plt.xlim([1e1, 1e6]) | |
260 | - # plt.loglog(gamma_mean1_1, ratio1_1, 'blue', label='ratio of 3 and 4 levels model $\epsilon_{PAH}$ (T = 100K) ') | |
261 | - # plt.loglog(gamma_mean2_1, ratio2_1, 'red', ls='--' , label='ratio of 3 and 4 levels model $\epsilon_{PAH}$ (T = 1000K)') | |
262 | - # plt.loglog(gamma_list_T_one3, heating_efficiency_list_T_one3, 'blue', label='$\epsilon_{PAH}$ (T = 100K) 3 levels model') | |
263 | - # plt.loglog(gamma_list_T_two3, heating_efficiency_list_T_two3, 'red', ls='--' , label='$\epsilon_{PAH}$ (T = 1000K) 3 levels model') | |
264 | - # plt.loglog(gamma_list_T_one4, heating_efficiency_list_T_one4, 'darkblue', label='$\epsilon_{PAH}$ (T = 100K) 4 levels model') | |
265 | - # plt.loglog(gamma_list_T_two4, heating_efficiency_list_T_two4, 'darkred', ls='--' , label='$\epsilon_{PAH}$ (T = 1000K) 4 levels model') | |
266 | - # plt.xlabel('$\gamma(G_0\sqrt{T}/n_e)$') | |
267 | - # plt.ylabel('$\epsilon_{PAH}$') | |
268 | - # plt.ylabel('$\epsilon_{PAH, 3lvlmod}$ / $\epsilon_{PAH, 4lvlmod}$ (%)') | |
269 | - # plt.legend() | |
270 | - | |
271 | - # ''' Total photoelectric heating rates of the gas ''' | |
272 | - | |
273 | - # gamma_list_fc_one3 = [] | |
274 | - # total_gas_heating_per_rf_list_fc_one3 = [] | |
275 | - | |
276 | - # gamma_list_fc_two3 = [] | |
277 | - # total_gas_heating_per_rf_list_fc_two3 = [] | |
278 | - | |
279 | - # gamma_list_fc_one4 = [] | |
280 | - # total_gas_heating_per_rf_list_fc_one4 = [] | |
281 | - | |
282 | - # gamma_list_fc_two4 = [] | |
283 | - # total_gas_heating_per_rf_list_fc_two4 = [] | |
284 | - | |
285 | - # ratio1_2 = [] | |
286 | - # ratio2_2 = [] | |
287 | - # gamma_mean1_2 = [] | |
288 | - # gamma_mean2_2 = [] | |
289 | - # Table_list_g_fc5 = [] | |
290 | - # Table_list_Gpg0_fc5 = [] | |
291 | - | |
292 | - # Table_list_g_fc10 = [] | |
293 | - # Table_list_Gpg0_fc10 = [] | |
294 | - | |
295 | - # for i in distance_list: | |
296 | - # test_for_total_heating_rates_fc_one3 = mp.HeatingGas(filename, star_radius, t_gas, n_e, n_c, i, 0.05, ISRF) | |
297 | - # test_for_total_heating_rates_fc_one3.parameters() | |
298 | - # gamma_list_fc_one3.append(test_for_total_heating_rates_fc_one3.gamma) | |
299 | - # total_gas_heating_per_rf_list_fc_one3.append( (test_for_total_heating_rates_fc_one3.total_gas_heating*1e-7) / test_for_total_heating_rates_fc_one3.g_0) | |
300 | - | |
301 | - # test_for_total_heating_rates_fc_two3 = mp.HeatingGas(filename, star_radius, t_gas, n_e, n_c, i, 0.1, ISRF) | |
302 | - # test_for_total_heating_rates_fc_two3.parameters() | |
303 | - # gamma_list_fc_two3.append(test_for_total_heating_rates_fc_two3.gamma) | |
304 | - # total_gas_heating_per_rf_list_fc_two3.append( (test_for_total_heating_rates_fc_two3.total_gas_heating*1e-7) / test_for_total_heating_rates_fc_two3.g_0) | |
305 | - | |
306 | - # test_for_total_heating_rates_fc_one4 = four_lvl.HeatingGas(filename, star_radius, 500, n_e, 54, i, 0.05, ISRF) | |
307 | - # test_for_total_heating_rates_fc_one4.parameters() | |
308 | - # gamma_list_fc_one4.append(test_for_total_heating_rates_fc_one4.gamma) | |
309 | - # total_gas_heating_per_rf_list_fc_one4.append( (test_for_total_heating_rates_fc_one4.total_gas_heating*1e-7) / test_for_total_heating_rates_fc_one4.g_0) | |
310 | - | |
311 | - # test_for_total_heating_rates_fc_two4 = four_lvl.HeatingGas(filename, star_radius, 500, n_e, 54, i, 0.1, ISRF) | |
312 | - # test_for_total_heating_rates_fc_two4.parameters() | |
313 | - # gamma_list_fc_two4.append(test_for_total_heating_rates_fc_two4.gamma) | |
314 | - # total_gas_heating_per_rf_list_fc_two4.append( (test_for_total_heating_rates_fc_two4.total_gas_heating*1e-7) / test_for_total_heating_rates_fc_two4.g_0) | |
315 | - | |
316 | - # ratio1_2.append( ( ( (test_for_total_heating_rates_fc_one3.total_gas_heating*1e-7) /\ | |
317 | - # test_for_total_heating_rates_fc_one3.g_0) /\ | |
318 | - # ( (test_for_total_heating_rates_fc_one4.total_gas_heating*1e-7) /\ | |
319 | - # test_for_total_heating_rates_fc_one4.g_0) )*100 ) | |
320 | - # ratio2_2.append( ( ( (test_for_total_heating_rates_fc_two3.total_gas_heating*1e-7) /\ | |
321 | - # test_for_total_heating_rates_fc_two3.g_0) /\ | |
322 | - # ( (test_for_total_heating_rates_fc_two4.total_gas_heating*1e-7) /\ | |
323 | - # test_for_total_heating_rates_fc_two4.g_0) )*100 ) | |
324 | - # gamma_mean1_2.append( (test_for_total_heating_rates_fc_one3.gamma+test_for_total_heating_rates_fc_one4.gamma)/2 ) | |
325 | - # gamma_mean2_2.append( (test_for_total_heating_rates_fc_two3.gamma+test_for_total_heating_rates_fc_two4.gamma)/2 ) | |
326 | - | |
327 | - # plt.figure() | |
328 | - # plt.xlim([1e1, 1e7]) | |
329 | - # plt.loglog(gamma_mean1_2,ratio1_2, 'red', label='ratio of 3 and 4 levels model $\Gamma_{tot}$ (5% of C in PAHs)') | |
330 | - # plt.loglog(gamma_mean2_2,ratio2_2, 'blue', label='ratio of 3 and 4 levels model $\Gamma_{tot}$ (10% of C in PAHs)') | |
331 | - # plt.loglog(gamma_list_fc_one3, total_gas_heating_per_rf_list_fc_one3, c='red', label='This work (5% of C in PAHs) 3 levels model') | |
332 | - # plt.loglog(gamma_list_fc_two3, total_gas_heating_per_rf_list_fc_two3,ls='--', c='blue', label='This work (10% of C in PAHs) 3 levels model') | |
333 | - # plt.loglog(gamma_list_fc_one4, total_gas_heating_per_rf_list_fc_one4, c='darkred', label='This work (5% of C in PAHs) 4 levels model') | |
334 | - # plt.loglog(gamma_list_fc_two4, total_gas_heating_per_rf_list_fc_two4,ls='--', c='darkblue', label='This work (10% of C in PAHs) 4 levels model') | |
335 | - # plt.xlabel('$\gamma(G_0\sqrt{T}/n_e)$') | |
336 | - # # plt.ylabel('$\Gamma_{tot}$ (W H$^{-1}$ G$_0^{-1}$)') | |
337 | - # plt.ylabel('$\Gamma_{tot, 3lvlmod}$ / $\Gamma_{tot, 4lvlmod}$ (%)') | |
338 | - # plt.legend() | |
339 | - | |
340 | - # Table_values.append(heating_efficiency_list_T_one4) | |
341 | - # Table_list_g_fc5 = gamma_list_fc_one4[::-1] | |
342 | - # Table_list_Gpg0_fc5 = total_gas_heating_per_rf_list_fc_one4[::-1] | |
343 | - | |
344 | - # Table_list_g_fc10 = gamma_list_fc_two4[::-1] | |
345 | - # Table_list_Gpg0_fc10 = total_gas_heating_per_rf_list_fc_two4[::-1] | |
346 | 0 | \ No newline at end of file |