Note
Click here to download the full example code
1. Phase diagram
Calculate phase boundary of pure NaCl, and compare result with [Driesner & Heinrich, 2007].
Python code
import os
import numpy as np
import time
import linecache
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib import patches
import matplotlib.ticker as ticker
from matplotlib.ticker import MultipleLocator
from tabulate import tabulate
import copy
import warnings
warnings.filterwarnings("ignore", category=RuntimeWarning)
mpl.rcParams['font.family'] = 'Arial' # default font family
mpl.rcParams['mathtext.fontset'] = 'cm' # font for math
dpi=100 # > 100 means use jpg format in gallery
fmt_figs = ['pdf'] # ['svg','pdf']
figpath = '.'
result_path='../../../gallery_NaCl/pT'
def savefig(figname):
for fmt_fig in fmt_figs:
figname_full = '%s/%s.%s' % (figpath, figname, fmt_fig)
plt.savefig(figname_full, bbox_inches='tight',dpi=dpi)
print('figure saved: ', figname_full)
compare = lambda a,b : float(str('%.6e'%(a)))-float(str('%.6e'%(b)))
# Import package of xThermo
from xThermo import H2O
from xThermo import NaCl
from xThermo import H2ONaCl
sw_84 = H2ONaCl.cH2ONaCl("IAPS84")
sw_95 = H2ONaCl.cH2ONaCl("IAPWS95")
salt_84 = NaCl.cNaCl("IAPS84")
salt_95 = NaCl.cNaCl("IAPWS95")
def plot_PhaseDiagram(salt,sw, scale='linear'):
# Fig. 4 of Driesner(2007a)
T = np.linspace(300, 1100, 100) + 273.15
P_boiling = np.array(salt.Boiling_p(T))
P_sublimation = np.array(salt.Sublimation_p(T))
P_melting = np.linspace(NaCl.P_Triple, 5000E5, 100)
T_melting = np.array(salt.Melting_T(P_melting))
fig=plt.figure(figsize=(8,8))
ax=plt.gca()
# boiling curve
ind_boil=(T>=NaCl.T_Triple)
l,=ax.semilogy(T[ind_boil]-273.15, P_boiling[ind_boil]/1E5, color='orange',label='Boiling curve')
# ax.semilogy(np.array(salt.Boiling_T(P_boiling[ind_boil]))-273.15, P_boiling[ind_boil]/1E5, color='red',ls='dashed',lw=0.5)
# sublimation curve
ind_sub=(T<=NaCl.T_Triple)
l,=ax.semilogy(T[ind_sub]-273.15, P_sublimation[ind_sub]/1E5, color='green',label='Sublimation curve')
# melting curve
l,=ax.semilogy(T_melting-273.15, P_melting/1E5, color='m',label='Melting curve')
# triple point
ax.plot(NaCl.T_Triple-273.15, NaCl.P_Triple/1E5, 'o', mfc='red',mec='w', label='Triple point: (%.2f $^{\circ}$C, %.2f Pa)'%(NaCl.T_Triple-273.15, NaCl.P_Triple))
# valid pressure of H2O-NaCl
ax.axhline(sw.pmin()/1E5,color='r',label='Valid $P_{min}$ = %.1f bar\n$H2O-NaCl$ lib'%(sw.pmin()/1E5),ls='dashed')
# phase region
ax.fill_betweenx(np.append(P_sublimation[ind_sub], P_melting)/1E5, np.append(T[ind_sub], T_melting)-273.15, T.min()-273.15, fc='lightblue',ec='None',label='Solid phase',zorder=0)
ax.fill(np.append(T[ind_boil][::-1], np.append(T_melting,T.max()))-273.15,np.append(P_boiling[ind_boil][::-1], np.append(P_melting,P_melting.max()))/1E5, T.min()-273.15, fc='lightgreen',ec='None',label='Liquid phase',zorder=0)
ax.fill_betweenx(np.append(P_sublimation[ind_sub], P_boiling[ind_boil])/1E5, np.append(T[ind_sub], T[ind_boil])-273.15, T.max()-273.15, fc='gray',ec='None',label='Vapor phase',zorder=0)
# invalid region
ax.fill_between(T-273.15, T*0 + sw.pmin()/1E5,0,fc='w',ec='None',alpha=0.5)
ax.legend(ncol=2,loc='lower right')
ax.yaxis.set_major_locator(mpl.ticker.LogLocator(base=10.0, numticks=20))
ax.xaxis.set_major_locator(MultipleLocator(100))
ax.set_xlim(T.min()-273.15, T.max()-273.15)
ax.set_ylim(2E-13, 5000)
ax.grid(lw=0.2, color='gray')
ax.set_xlabel('Temperature ($^{\circ}$C)')
ax.set_ylabel('P (bar)')
savefig('PhaseDiagram_NaCl')
Benchmark comparison
Compare result of xThermo with [Driesner & Heinrich, 2007], and also compare result based on different EOS of water.
Python code
def benchmark_NaCl(salt,mmc1='../../H2ONaCl/Driesner2007a/1-s2.0-S0016703707002943-mmc1.txt'):
# compare
if(not os.path.exists(mmc1)):
print('Please set correct mmc1 file path: %s'%(mmc1))
exit()
T0_melting, P0_melting = np.loadtxt(mmc1,skiprows=14,max_rows=64-14,unpack=True)
T0_sub, P0_sub = np.loadtxt(mmc1,skiprows=78,max_rows=400-78,unpack=True)
T0_boil, P0_boil = np.loadtxt(mmc1,skiprows=414,max_rows=496-414,unpack=True)
# 1. calculate halite liquidus
P_boil = np.array(salt.Boiling_p(T0_boil+273.15))/1E5
P_sub = np.array(salt.Sublimation_p(T0_sub+273.15))/1E5
P_melting = np.array(salt.Melting_p(T0_melting+273.15))/1E5
# compare result dict
Data0 = {'Melting P': P0_melting,'Boiling P': P0_boil,'Sublimation P': P0_sub}
Data_ = {'Melting P': P_melting,'Boiling P': P_boil,'Sublimation P': P_sub}
Err,RErr={},{}
for key in Data0.keys(): Err[key],RErr[key] = Data0[key]-Data_[key], np.abs(Data0[key]-Data_[key])/(Data0[key])*100.0
fig=plt.figure(figsize=(8,8))
ax=plt.gca()
# print to file
for name,T0,P0,P in zip(['Melting','Boiling','Sublimation'],[T0_melting,T0_boil,T0_sub],[P0_melting,P0_boil,P0_sub],[P_melting,P_boil,P_sub]):
fpout = open('%s/mmc1_%s_%s.csv'%(result_path,name,salt.name_backend()),'w')
fpout.write('T[C],P(Driesner)[bar],P(xThermo),P(err)\n')
for i in range(0,len(T0)):
fpout.write('%f,%.6e,%.6e,%.6e\n'%(T0[i],P0[i],P[i],compare(P0[i],P[i])))
fpout.close()
ax.plot(T0,P,lw=4,label=name)
ax.plot(T0,P0,'.',mfc='r',mec='w',markeredgewidth=0.5)
ax.set_yscale('log')
ax.legend()
ax.set_ylim(1E-5,5000)
ax.set_xlim(600,1000)
ax.set_xlabel('Temperature ($^{\circ}$C)')
ax.set_ylabel('P (bar)')
savefig('Diff_PhaseBoundary')
# statistics of the difference
table=[]
for key in list(Err.keys()):
RErr[key] = RErr[key][~(np.isnan(RErr[key]) | np.isinf(RErr[key]))]
table.append([key,Err[key].min(),Err[key].max(),RErr[key].min(),RErr[key].max()])
print(tabulate(table, headers=['Pressure (bar)', 'Err. Min', 'Err. Max','RE. Min(%)','RE. Max(%)'],numalign="right",floatfmt=".6f"))
Based on IAPS84 EOS
benchmark_NaCl(salt_84)
Out:
figure saved: ./Diff_PhaseBoundary.pdf
Pressure (bar) Err. Min Err. Max RE. Min(%) RE. Max(%)
---------------- ---------- ---------- ------------ ------------
Melting P -0.004902 0.004294 0.000000 0.000307
Boiling P -0.000000 0.000000 0.000000 0.000039
Sublimation P -0.000000 0.000000 0.000000 0.000042
Based on IAPWS95 EOS
benchmark_NaCl(salt_95)
Out:
figure saved: ./Diff_PhaseBoundary.pdf
Pressure (bar) Err. Min Err. Max RE. Min(%) RE. Max(%)
---------------- ---------- ---------- ------------ ------------
Melting P -0.004902 0.004294 0.000000 0.000307
Boiling P -0.000000 0.000000 0.000000 0.000039
Sublimation P -0.000000 0.000000 0.000000 0.000042
Result table
See also
Electronic Annex EA-1 in [Driesner & Heinrich, 2007] and Fig. 4 in [Driesner & Heinrich, 2007].
Result data calculated by xThermo based on both water EOS of IAPS84 and IAPWS95.
T[C] |
P(Driesner)[bar] |
P(xThermo) |
P(err) |
---|---|---|---|
800.700000 |
5.000000e-04 |
5.000000e-04 |
0.000000e+00 |
805.000000 |
1.739060e+02 |
1.739065e+02 |
-5.000000e-04 |
810.000000 |
3.761220e+02 |
3.761228e+02 |
-8.000000e-04 |
815.000000 |
5.783390e+02 |
5.783391e+02 |
-1.000000e-04 |
820.000000 |
7.805550e+02 |
7.805554e+02 |
-4.000000e-04 |
825.000000 |
9.827710e+02 |
9.827717e+02 |
-7.000000e-04 |
830.000000 |
1.184990e+03 |
1.184988e+03 |
2.000000e-03 |
835.000000 |
1.387200e+03 |
1.387204e+03 |
-4.000000e-03 |
840.000000 |
1.589420e+03 |
1.589421e+03 |
-1.000000e-03 |
845.000000 |
1.791640e+03 |
1.791637e+03 |
3.000000e-03 |
850.000000 |
1.993850e+03 |
1.993853e+03 |
-3.000000e-03 |
855.000000 |
2.196070e+03 |
2.196069e+03 |
1.000000e-03 |
860.000000 |
2.398290e+03 |
2.398286e+03 |
4.000000e-03 |
865.000000 |
2.600500e+03 |
2.600502e+03 |
-2.000000e-03 |
870.000000 |
2.802720e+03 |
2.802718e+03 |
2.000000e-03 |
875.000000 |
3.004930e+03 |
3.004935e+03 |
-5.000000e-03 |
880.000000 |
3.207150e+03 |
3.207151e+03 |
-1.000000e-03 |
885.000000 |
3.409370e+03 |
3.409367e+03 |
3.000000e-03 |
890.000000 |
3.611580e+03 |
3.611583e+03 |
-3.000000e-03 |
895.000000 |
3.813800e+03 |
3.813800e+03 |
0.000000e+00 |
900.000000 |
4.016020e+03 |
4.016016e+03 |
4.000000e-03 |
905.000000 |
4.218230e+03 |
4.218232e+03 |
-2.000000e-03 |
910.000000 |
4.420450e+03 |
4.420449e+03 |
1.000000e-03 |
915.000000 |
4.622660e+03 |
4.622665e+03 |
-5.000000e-03 |
920.000000 |
4.824880e+03 |
4.824881e+03 |
-1.000000e-03 |
T[C] |
P(Driesner)[bar] |
P(xThermo) |
P(err) |
---|---|---|---|
800.700000 |
5.000000e-04 |
5.000000e-04 |
0.000000e+00 |
805.000000 |
1.739060e+02 |
1.739065e+02 |
-5.000000e-04 |
810.000000 |
3.761220e+02 |
3.761228e+02 |
-8.000000e-04 |
815.000000 |
5.783390e+02 |
5.783391e+02 |
-1.000000e-04 |
820.000000 |
7.805550e+02 |
7.805554e+02 |
-4.000000e-04 |
825.000000 |
9.827710e+02 |
9.827717e+02 |
-7.000000e-04 |
830.000000 |
1.184990e+03 |
1.184988e+03 |
2.000000e-03 |
835.000000 |
1.387200e+03 |
1.387204e+03 |
-4.000000e-03 |
840.000000 |
1.589420e+03 |
1.589421e+03 |
-1.000000e-03 |
845.000000 |
1.791640e+03 |
1.791637e+03 |
3.000000e-03 |
850.000000 |
1.993850e+03 |
1.993853e+03 |
-3.000000e-03 |
855.000000 |
2.196070e+03 |
2.196069e+03 |
1.000000e-03 |
860.000000 |
2.398290e+03 |
2.398286e+03 |
4.000000e-03 |
865.000000 |
2.600500e+03 |
2.600502e+03 |
-2.000000e-03 |
870.000000 |
2.802720e+03 |
2.802718e+03 |
2.000000e-03 |
875.000000 |
3.004930e+03 |
3.004935e+03 |
-5.000000e-03 |
880.000000 |
3.207150e+03 |
3.207151e+03 |
-1.000000e-03 |
885.000000 |
3.409370e+03 |
3.409367e+03 |
3.000000e-03 |
890.000000 |
3.611580e+03 |
3.611583e+03 |
-3.000000e-03 |
895.000000 |
3.813800e+03 |
3.813800e+03 |
0.000000e+00 |
900.000000 |
4.016020e+03 |
4.016016e+03 |
4.000000e-03 |
905.000000 |
4.218230e+03 |
4.218232e+03 |
-2.000000e-03 |
910.000000 |
4.420450e+03 |
4.420449e+03 |
1.000000e-03 |
915.000000 |
4.622660e+03 |
4.622665e+03 |
-5.000000e-03 |
920.000000 |
4.824880e+03 |
4.824881e+03 |
-1.000000e-03 |
T[C] |
P(Driesner)[bar] |
P(xThermo) |
P(err) |
---|---|---|---|
800.700000 |
5.000000e-04 |
5.000000e-04 |
0.000000e+00 |
805.000000 |
5.419375e-04 |
5.419375e-04 |
0.000000e+00 |
810.000000 |
5.946665e-04 |
5.946665e-04 |
0.000000e+00 |
815.000000 |
6.519693e-04 |
6.519693e-04 |
0.000000e+00 |
820.000000 |
7.141926e-04 |
7.141926e-04 |
0.000000e+00 |
825.000000 |
7.817053e-04 |
7.817053e-04 |
0.000000e+00 |
830.000000 |
8.548997e-04 |
8.548997e-04 |
0.000000e+00 |
835.000000 |
9.341927e-04 |
9.341927e-04 |
0.000000e+00 |
840.000000 |
1.020027e-03 |
1.020027e-03 |
0.000000e+00 |
845.000000 |
1.112873e-03 |
1.112873e-03 |
0.000000e+00 |
850.000000 |
1.213228e-03 |
1.213228e-03 |
0.000000e+00 |
855.000000 |
1.321622e-03 |
1.321622e-03 |
0.000000e+00 |
860.000000 |
1.438612e-03 |
1.438612e-03 |
0.000000e+00 |
865.000000 |
1.564793e-03 |
1.564793e-03 |
0.000000e+00 |
870.000000 |
1.700789e-03 |
1.700789e-03 |
0.000000e+00 |
875.000000 |
1.847263e-03 |
1.847263e-03 |
0.000000e+00 |
880.000000 |
2.004915e-03 |
2.004915e-03 |
0.000000e+00 |
885.000000 |
2.174483e-03 |
2.174483e-03 |
0.000000e+00 |
890.000000 |
2.356747e-03 |
2.356747e-03 |
0.000000e+00 |
895.000000 |
2.552529e-03 |
2.552529e-03 |
0.000000e+00 |
900.000000 |
2.762695e-03 |
2.762695e-03 |
0.000000e+00 |
905.000000 |
2.988158e-03 |
2.988158e-03 |
0.000000e+00 |
910.000000 |
3.229879e-03 |
3.229879e-03 |
0.000000e+00 |
915.000000 |
3.488868e-03 |
3.488868e-03 |
0.000000e+00 |
920.000000 |
3.766189e-03 |
3.766189e-03 |
0.000000e+00 |
925.000000 |
4.062960e-03 |
4.062960e-03 |
0.000000e+00 |
930.000000 |
4.380352e-03 |
4.380352e-03 |
0.000000e+00 |
935.000000 |
4.719600e-03 |
4.719600e-03 |
0.000000e+00 |
940.000000 |
5.081996e-03 |
5.081996e-03 |
0.000000e+00 |
945.000000 |
5.468896e-03 |
5.468896e-03 |
0.000000e+00 |
950.000000 |
5.881723e-03 |
5.881723e-03 |
0.000000e+00 |
955.000000 |
6.321965e-03 |
6.321965e-03 |
0.000000e+00 |
960.000000 |
6.791182e-03 |
6.791182e-03 |
0.000000e+00 |
965.000000 |
7.291008e-03 |
7.291008e-03 |
0.000000e+00 |
970.000000 |
7.823150e-03 |
7.823150e-03 |
0.000000e+00 |
975.000000 |
8.389394e-03 |
8.389394e-03 |
0.000000e+00 |
980.000000 |
8.991608e-03 |
8.991608e-03 |
0.000000e+00 |
985.000000 |
9.631743e-03 |
9.631743e-03 |
0.000000e+00 |
990.000000 |
1.031183e-02 |
1.031183e-02 |
0.000000e+00 |
995.000000 |
1.103401e-02 |
1.103401e-02 |
0.000000e+00 |
1000.000000 |
1.180048e-02 |
1.180048e-02 |
0.000000e+00 |
T[C] |
P(Driesner)[bar] |
P(xThermo) |
P(err) |
---|---|---|---|
800.700000 |
5.000000e-04 |
5.000000e-04 |
0.000000e+00 |
805.000000 |
5.419375e-04 |
5.419375e-04 |
0.000000e+00 |
810.000000 |
5.946665e-04 |
5.946665e-04 |
0.000000e+00 |
815.000000 |
6.519693e-04 |
6.519693e-04 |
0.000000e+00 |
820.000000 |
7.141926e-04 |
7.141926e-04 |
0.000000e+00 |
825.000000 |
7.817053e-04 |
7.817053e-04 |
0.000000e+00 |
830.000000 |
8.548997e-04 |
8.548997e-04 |
0.000000e+00 |
835.000000 |
9.341927e-04 |
9.341927e-04 |
0.000000e+00 |
840.000000 |
1.020027e-03 |
1.020027e-03 |
0.000000e+00 |
845.000000 |
1.112873e-03 |
1.112873e-03 |
0.000000e+00 |
850.000000 |
1.213228e-03 |
1.213228e-03 |
0.000000e+00 |
855.000000 |
1.321622e-03 |
1.321622e-03 |
0.000000e+00 |
860.000000 |
1.438612e-03 |
1.438612e-03 |
0.000000e+00 |
865.000000 |
1.564793e-03 |
1.564793e-03 |
0.000000e+00 |
870.000000 |
1.700789e-03 |
1.700789e-03 |
0.000000e+00 |
875.000000 |
1.847263e-03 |
1.847263e-03 |
0.000000e+00 |
880.000000 |
2.004915e-03 |
2.004915e-03 |
0.000000e+00 |
885.000000 |
2.174483e-03 |
2.174483e-03 |
0.000000e+00 |
890.000000 |
2.356747e-03 |
2.356747e-03 |
0.000000e+00 |
895.000000 |
2.552529e-03 |
2.552529e-03 |
0.000000e+00 |
900.000000 |
2.762695e-03 |
2.762695e-03 |
0.000000e+00 |
905.000000 |
2.988158e-03 |
2.988158e-03 |
0.000000e+00 |
910.000000 |
3.229879e-03 |
3.229879e-03 |
0.000000e+00 |
915.000000 |
3.488868e-03 |
3.488868e-03 |
0.000000e+00 |
920.000000 |
3.766189e-03 |
3.766189e-03 |
0.000000e+00 |
925.000000 |
4.062960e-03 |
4.062960e-03 |
0.000000e+00 |
930.000000 |
4.380352e-03 |
4.380352e-03 |
0.000000e+00 |
935.000000 |
4.719600e-03 |
4.719600e-03 |
0.000000e+00 |
940.000000 |
5.081996e-03 |
5.081996e-03 |
0.000000e+00 |
945.000000 |
5.468896e-03 |
5.468896e-03 |
0.000000e+00 |
950.000000 |
5.881723e-03 |
5.881723e-03 |
0.000000e+00 |
955.000000 |
6.321965e-03 |
6.321965e-03 |
0.000000e+00 |
960.000000 |
6.791182e-03 |
6.791182e-03 |
0.000000e+00 |
965.000000 |
7.291008e-03 |
7.291008e-03 |
0.000000e+00 |
970.000000 |
7.823150e-03 |
7.823150e-03 |
0.000000e+00 |
975.000000 |
8.389394e-03 |
8.389394e-03 |
0.000000e+00 |
980.000000 |
8.991608e-03 |
8.991608e-03 |
0.000000e+00 |
985.000000 |
9.631743e-03 |
9.631743e-03 |
0.000000e+00 |
990.000000 |
1.031183e-02 |
1.031183e-02 |
0.000000e+00 |
995.000000 |
1.103401e-02 |
1.103401e-02 |
0.000000e+00 |
1000.000000 |
1.180048e-02 |
1.180048e-02 |
0.000000e+00 |
T[C] |
P(Driesner)[bar] |
P(xThermo) |
P(err) |
---|---|---|---|
5.000000 |
1.770379e-35 |
1.770379e-35 |
0.000000e+00 |
10.000000 |
9.944481e-35 |
9.944481e-35 |
0.000000e+00 |
15.000000 |
5.261222e-34 |
5.261222e-34 |
0.000000e+00 |
20.000000 |
2.629728e-33 |
2.629728e-33 |
0.000000e+00 |
25.000000 |
1.245364e-32 |
1.245364e-32 |
0.000000e+00 |
30.000000 |
5.602773e-32 |
5.602773e-32 |
0.000000e+00 |
35.000000 |
2.400574e-31 |
2.400574e-31 |
0.000000e+00 |
40.000000 |
9.818567e-31 |
9.818567e-31 |
0.000000e+00 |
45.000000 |
3.841964e-30 |
3.841964e-30 |
0.000000e+00 |
50.000000 |
1.441196e-29 |
1.441196e-29 |
0.000000e+00 |
55.000000 |
5.192730e-29 |
5.192730e-29 |
0.000000e+00 |
60.000000 |
1.800359e-28 |
1.800359e-28 |
0.000000e+00 |
65.000000 |
6.016642e-28 |
6.016642e-28 |
0.000000e+00 |
70.000000 |
1.941240e-27 |
1.941240e-27 |
0.000000e+00 |
75.000000 |
6.056084e-27 |
6.056084e-27 |
0.000000e+00 |
80.000000 |
1.829419e-26 |
1.829419e-26 |
0.000000e+00 |
85.000000 |
5.358320e-26 |
5.358320e-26 |
0.000000e+00 |
90.000000 |
1.523675e-25 |
1.523675e-25 |
0.000000e+00 |
95.000000 |
4.211413e-25 |
4.211413e-25 |
0.000000e+00 |
100.000000 |
1.132741e-24 |
1.132741e-24 |
0.000000e+00 |
105.000000 |
2.968043e-24 |
2.968043e-24 |
0.000000e+00 |
110.000000 |
7.583878e-24 |
7.583878e-24 |
0.000000e+00 |
115.000000 |
1.891542e-23 |
1.891542e-23 |
0.000000e+00 |
120.000000 |
4.609402e-23 |
4.609402e-23 |
0.000000e+00 |
125.000000 |
1.098392e-22 |
1.098392e-22 |
0.000000e+00 |
130.000000 |
2.561629e-22 |
2.561629e-22 |
0.000000e+00 |
135.000000 |
5.851467e-22 |
5.851467e-22 |
0.000000e+00 |
140.000000 |
1.310177e-21 |
1.310177e-21 |
0.000000e+00 |
145.000000 |
2.877553e-21 |
2.877553e-21 |
0.000000e+00 |
150.000000 |
6.203571e-21 |
6.203571e-21 |
0.000000e+00 |
155.000000 |
1.313615e-20 |
1.313615e-20 |
0.000000e+00 |
160.000000 |
2.733834e-20 |
2.733834e-20 |
0.000000e+00 |
165.000000 |
5.595147e-20 |
5.595147e-20 |
0.000000e+00 |
170.000000 |
1.126761e-19 |
1.126761e-19 |
0.000000e+00 |
175.000000 |
2.233925e-19 |
2.233925e-19 |
0.000000e+00 |
180.000000 |
4.362605e-19 |
4.362605e-19 |
0.000000e+00 |
185.000000 |
8.396119e-19 |
8.396119e-19 |
0.000000e+00 |
190.000000 |
1.593207e-18 |
1.593207e-18 |
0.000000e+00 |
195.000000 |
2.982108e-18 |
2.982108e-18 |
0.000000e+00 |
200.000000 |
5.508337e-18 |
5.508337e-18 |
0.000000e+00 |
205.000000 |
1.004487e-17 |
1.004487e-17 |
0.000000e+00 |
210.000000 |
1.809120e-17 |
1.809120e-17 |
0.000000e+00 |
215.000000 |
3.219260e-17 |
3.219260e-17 |
0.000000e+00 |
220.000000 |
5.661993e-17 |
5.661993e-17 |
0.000000e+00 |
225.000000 |
9.846009e-17 |
9.846009e-17 |
0.000000e+00 |
230.000000 |
1.693462e-16 |
1.693462e-16 |
0.000000e+00 |
235.000000 |
2.881747e-16 |
2.881747e-16 |
0.000000e+00 |
240.000000 |
4.853297e-16 |
4.853297e-16 |
0.000000e+00 |
245.000000 |
8.091872e-16 |
8.091872e-16 |
0.000000e+00 |
250.000000 |
1.336033e-15 |
1.336033e-15 |
0.000000e+00 |
255.000000 |
2.185055e-15 |
2.185055e-15 |
0.000000e+00 |
260.000000 |
3.540791e-15 |
3.540791e-15 |
0.000000e+00 |
265.000000 |
5.686469e-15 |
5.686469e-15 |
0.000000e+00 |
270.000000 |
9.053095e-15 |
9.053095e-15 |
0.000000e+00 |
275.000000 |
1.429115e-14 |
1.429115e-14 |
0.000000e+00 |
280.000000 |
2.237448e-14 |
2.237448e-14 |
0.000000e+00 |
285.000000 |
3.474966e-14 |
3.474966e-14 |
0.000000e+00 |
290.000000 |
5.354922e-14 |
5.354922e-14 |
0.000000e+00 |
295.000000 |
8.189364e-14 |
8.189364e-14 |
0.000000e+00 |
300.000000 |
1.243163e-13 |
1.243163e-13 |
0.000000e+00 |
305.000000 |
1.873573e-13 |
1.873573e-13 |
0.000000e+00 |
310.000000 |
2.803873e-13 |
2.803873e-13 |
0.000000e+00 |
315.000000 |
4.167438e-13 |
4.167438e-13 |
0.000000e+00 |
320.000000 |
6.152879e-13 |
6.152879e-13 |
0.000000e+00 |
325.000000 |
9.025237e-13 |
9.025237e-13 |
0.000000e+00 |
330.000000 |
1.315468e-12 |
1.315468e-12 |
0.000000e+00 |
335.000000 |
1.905512e-12 |
1.905512e-12 |
0.000000e+00 |
340.000000 |
2.743584e-12 |
2.743584e-12 |
0.000000e+00 |
345.000000 |
3.927027e-12 |
3.927027e-12 |
0.000000e+00 |
350.000000 |
5.588692e-12 |
5.588692e-12 |
0.000000e+00 |
355.000000 |
7.908913e-12 |
7.908913e-12 |
0.000000e+00 |
360.000000 |
1.113119e-11 |
1.113119e-11 |
0.000000e+00 |
365.000000 |
1.558262e-11 |
1.558262e-11 |
0.000000e+00 |
370.000000 |
2.170041e-11 |
2.170041e-11 |
0.000000e+00 |
375.000000 |
3.006603e-11 |
3.006603e-11 |
0.000000e+00 |
380.000000 |
4.144922e-11 |
4.144922e-11 |
0.000000e+00 |
385.000000 |
5.686406e-11 |
5.686406e-11 |
0.000000e+00 |
390.000000 |
7.764056e-11 |
7.764056e-11 |
0.000000e+00 |
395.000000 |
1.055152e-10 |
1.055152e-10 |
0.000000e+00 |
400.000000 |
1.427456e-10 |
1.427456e-10 |
0.000000e+00 |
405.000000 |
1.922536e-10 |
1.922536e-10 |
0.000000e+00 |
410.000000 |
2.578064e-10 |
2.578064e-10 |
0.000000e+00 |
415.000000 |
3.442399e-10 |
3.442399e-10 |
0.000000e+00 |
420.000000 |
4.577382e-10 |
4.577382e-10 |
0.000000e+00 |
425.000000 |
6.061785e-10 |
6.061785e-10 |
0.000000e+00 |
430.000000 |
7.995563e-10 |
7.995563e-10 |
0.000000e+00 |
435.000000 |
1.050508e-09 |
1.050508e-09 |
0.000000e+00 |
440.000000 |
1.374952e-09 |
1.374952e-09 |
0.000000e+00 |
445.000000 |
1.792867e-09 |
1.792867e-09 |
0.000000e+00 |
450.000000 |
2.329242e-09 |
2.329242e-09 |
0.000000e+00 |
455.000000 |
3.015229e-09 |
3.015229e-09 |
0.000000e+00 |
460.000000 |
3.889527e-09 |
3.889527e-09 |
0.000000e+00 |
465.000000 |
5.000060e-09 |
5.000060e-09 |
0.000000e+00 |
470.000000 |
6.405984e-09 |
6.405984e-09 |
0.000000e+00 |
475.000000 |
8.180092e-09 |
8.180092e-09 |
0.000000e+00 |
480.000000 |
1.041168e-08 |
1.041168e-08 |
0.000000e+00 |
485.000000 |
1.320996e-08 |
1.320996e-08 |
0.000000e+00 |
490.000000 |
1.670813e-08 |
1.670813e-08 |
0.000000e+00 |
495.000000 |
2.106811e-08 |
2.106811e-08 |
0.000000e+00 |
500.000000 |
2.648629e-08 |
2.648629e-08 |
0.000000e+00 |
505.000000 |
3.320009e-08 |
3.320009e-08 |
0.000000e+00 |
510.000000 |
4.149584e-08 |
4.149584e-08 |
0.000000e+00 |
515.000000 |
5.171790e-08 |
5.171790e-08 |
0.000000e+00 |
520.000000 |
6.427933e-08 |
6.427933e-08 |
0.000000e+00 |
525.000000 |
7.967438e-08 |
7.967438e-08 |
0.000000e+00 |
530.000000 |
9.849293e-08 |
9.849293e-08 |
0.000000e+00 |
535.000000 |
1.214373e-07 |
1.214373e-07 |
0.000000e+00 |
540.000000 |
1.493415e-07 |
1.493415e-07 |
0.000000e+00 |
545.000000 |
1.831938e-07 |
1.831938e-07 |
0.000000e+00 |
550.000000 |
2.241627e-07 |
2.241627e-07 |
0.000000e+00 |
555.000000 |
2.736261e-07 |
2.736261e-07 |
0.000000e+00 |
560.000000 |
3.332056e-07 |
3.332056e-07 |
0.000000e+00 |
565.000000 |
4.048054e-07 |
4.048054e-07 |
0.000000e+00 |
570.000000 |
4.906567e-07 |
4.906567e-07 |
0.000000e+00 |
575.000000 |
5.933683e-07 |
5.933683e-07 |
0.000000e+00 |
580.000000 |
7.159840e-07 |
7.159840e-07 |
0.000000e+00 |
585.000000 |
8.620485e-07 |
8.620485e-07 |
0.000000e+00 |
590.000000 |
1.035681e-06 |
1.035681e-06 |
0.000000e+00 |
595.000000 |
1.241659e-06 |
1.241659e-06 |
0.000000e+00 |
600.000000 |
1.485512e-06 |
1.485512e-06 |
0.000000e+00 |
605.000000 |
1.773632e-06 |
1.773632e-06 |
0.000000e+00 |
610.000000 |
2.113387e-06 |
2.113387e-06 |
0.000000e+00 |
615.000000 |
2.513261e-06 |
2.513261e-06 |
0.000000e+00 |
620.000000 |
2.983002e-06 |
2.983002e-06 |
0.000000e+00 |
625.000000 |
3.533791e-06 |
3.533791e-06 |
0.000000e+00 |
630.000000 |
4.178433e-06 |
4.178433e-06 |
0.000000e+00 |
635.000000 |
4.931564e-06 |
4.931564e-06 |
0.000000e+00 |
640.000000 |
5.809888e-06 |
5.809888e-06 |
0.000000e+00 |
645.000000 |
6.832435e-06 |
6.832435e-06 |
0.000000e+00 |
650.000000 |
8.020854e-06 |
8.020854e-06 |
0.000000e+00 |
655.000000 |
9.399729e-06 |
9.399729e-06 |
0.000000e+00 |
660.000000 |
1.099694e-05 |
1.099694e-05 |
0.000000e+00 |
665.000000 |
1.284404e-05 |
1.284404e-05 |
0.000000e+00 |
670.000000 |
1.497672e-05 |
1.497672e-05 |
0.000000e+00 |
675.000000 |
1.743524e-05 |
1.743524e-05 |
0.000000e+00 |
680.000000 |
2.026501e-05 |
2.026501e-05 |
0.000000e+00 |
685.000000 |
2.351711e-05 |
2.351711e-05 |
0.000000e+00 |
690.000000 |
2.724896e-05 |
2.724896e-05 |
0.000000e+00 |
695.000000 |
3.152501e-05 |
3.152501e-05 |
0.000000e+00 |
700.000000 |
3.641748e-05 |
3.641748e-05 |
0.000000e+00 |
705.000000 |
4.200724e-05 |
4.200724e-05 |
0.000000e+00 |
710.000000 |
4.838465e-05 |
4.838465e-05 |
0.000000e+00 |
715.000000 |
5.565060e-05 |
5.565060e-05 |
0.000000e+00 |
720.000000 |
6.391757e-05 |
6.391757e-05 |
0.000000e+00 |
725.000000 |
7.331082e-05 |
7.331082e-05 |
0.000000e+00 |
730.000000 |
8.396963e-05 |
8.396963e-05 |
0.000000e+00 |
735.000000 |
9.604874e-05 |
9.604874e-05 |
0.000000e+00 |
740.000000 |
1.097198e-04 |
1.097198e-04 |
0.000000e+00 |
745.000000 |
1.251730e-04 |
1.251730e-04 |
0.000000e+00 |
750.000000 |
1.426189e-04 |
1.426189e-04 |
0.000000e+00 |
755.000000 |
1.622902e-04 |
1.622902e-04 |
0.000000e+00 |
760.000000 |
1.844439e-04 |
1.844439e-04 |
0.000000e+00 |
765.000000 |
2.093636e-04 |
2.093636e-04 |
0.000000e+00 |
770.000000 |
2.373615e-04 |
2.373615e-04 |
0.000000e+00 |
775.000000 |
2.687815e-04 |
2.687815e-04 |
0.000000e+00 |
780.000000 |
3.040016e-04 |
3.040016e-04 |
0.000000e+00 |
785.000000 |
3.434369e-04 |
3.434369e-04 |
0.000000e+00 |
790.000000 |
3.875429e-04 |
3.875429e-04 |
0.000000e+00 |
795.000000 |
4.368189e-04 |
4.368189e-04 |
0.000000e+00 |
800.000000 |
4.918115e-04 |
4.918115e-04 |
0.000000e+00 |
800.700000 |
5.000000e-04 |
5.000000e-04 |
0.000000e+00 |
T[C] |
P(Driesner)[bar] |
P(xThermo) |
P(err) |
---|---|---|---|
5.000000 |
1.770379e-35 |
1.770379e-35 |
0.000000e+00 |
10.000000 |
9.944481e-35 |
9.944481e-35 |
0.000000e+00 |
15.000000 |
5.261222e-34 |
5.261222e-34 |
0.000000e+00 |
20.000000 |
2.629728e-33 |
2.629728e-33 |
0.000000e+00 |
25.000000 |
1.245364e-32 |
1.245364e-32 |
0.000000e+00 |
30.000000 |
5.602773e-32 |
5.602773e-32 |
0.000000e+00 |
35.000000 |
2.400574e-31 |
2.400574e-31 |
0.000000e+00 |
40.000000 |
9.818567e-31 |
9.818567e-31 |
0.000000e+00 |
45.000000 |
3.841964e-30 |
3.841964e-30 |
0.000000e+00 |
50.000000 |
1.441196e-29 |
1.441196e-29 |
0.000000e+00 |
55.000000 |
5.192730e-29 |
5.192730e-29 |
0.000000e+00 |
60.000000 |
1.800359e-28 |
1.800359e-28 |
0.000000e+00 |
65.000000 |
6.016642e-28 |
6.016642e-28 |
0.000000e+00 |
70.000000 |
1.941240e-27 |
1.941240e-27 |
0.000000e+00 |
75.000000 |
6.056084e-27 |
6.056084e-27 |
0.000000e+00 |
80.000000 |
1.829419e-26 |
1.829419e-26 |
0.000000e+00 |
85.000000 |
5.358320e-26 |
5.358320e-26 |
0.000000e+00 |
90.000000 |
1.523675e-25 |
1.523675e-25 |
0.000000e+00 |
95.000000 |
4.211413e-25 |
4.211413e-25 |
0.000000e+00 |
100.000000 |
1.132741e-24 |
1.132741e-24 |
0.000000e+00 |
105.000000 |
2.968043e-24 |
2.968043e-24 |
0.000000e+00 |
110.000000 |
7.583878e-24 |
7.583878e-24 |
0.000000e+00 |
115.000000 |
1.891542e-23 |
1.891542e-23 |
0.000000e+00 |
120.000000 |
4.609402e-23 |
4.609402e-23 |
0.000000e+00 |
125.000000 |
1.098392e-22 |
1.098392e-22 |
0.000000e+00 |
130.000000 |
2.561629e-22 |
2.561629e-22 |
0.000000e+00 |
135.000000 |
5.851467e-22 |
5.851467e-22 |
0.000000e+00 |
140.000000 |
1.310177e-21 |
1.310177e-21 |
0.000000e+00 |
145.000000 |
2.877553e-21 |
2.877553e-21 |
0.000000e+00 |
150.000000 |
6.203571e-21 |
6.203571e-21 |
0.000000e+00 |
155.000000 |
1.313615e-20 |
1.313615e-20 |
0.000000e+00 |
160.000000 |
2.733834e-20 |
2.733834e-20 |
0.000000e+00 |
165.000000 |
5.595147e-20 |
5.595147e-20 |
0.000000e+00 |
170.000000 |
1.126761e-19 |
1.126761e-19 |
0.000000e+00 |
175.000000 |
2.233925e-19 |
2.233925e-19 |
0.000000e+00 |
180.000000 |
4.362605e-19 |
4.362605e-19 |
0.000000e+00 |
185.000000 |
8.396119e-19 |
8.396119e-19 |
0.000000e+00 |
190.000000 |
1.593207e-18 |
1.593207e-18 |
0.000000e+00 |
195.000000 |
2.982108e-18 |
2.982108e-18 |
0.000000e+00 |
200.000000 |
5.508337e-18 |
5.508337e-18 |
0.000000e+00 |
205.000000 |
1.004487e-17 |
1.004487e-17 |
0.000000e+00 |
210.000000 |
1.809120e-17 |
1.809120e-17 |
0.000000e+00 |
215.000000 |
3.219260e-17 |
3.219260e-17 |
0.000000e+00 |
220.000000 |
5.661993e-17 |
5.661993e-17 |
0.000000e+00 |
225.000000 |
9.846009e-17 |
9.846009e-17 |
0.000000e+00 |
230.000000 |
1.693462e-16 |
1.693462e-16 |
0.000000e+00 |
235.000000 |
2.881747e-16 |
2.881747e-16 |
0.000000e+00 |
240.000000 |
4.853297e-16 |
4.853297e-16 |
0.000000e+00 |
245.000000 |
8.091872e-16 |
8.091872e-16 |
0.000000e+00 |
250.000000 |
1.336033e-15 |
1.336033e-15 |
0.000000e+00 |
255.000000 |
2.185055e-15 |
2.185055e-15 |
0.000000e+00 |
260.000000 |
3.540791e-15 |
3.540791e-15 |
0.000000e+00 |
265.000000 |
5.686469e-15 |
5.686469e-15 |
0.000000e+00 |
270.000000 |
9.053095e-15 |
9.053095e-15 |
0.000000e+00 |
275.000000 |
1.429115e-14 |
1.429115e-14 |
0.000000e+00 |
280.000000 |
2.237448e-14 |
2.237448e-14 |
0.000000e+00 |
285.000000 |
3.474966e-14 |
3.474966e-14 |
0.000000e+00 |
290.000000 |
5.354922e-14 |
5.354922e-14 |
0.000000e+00 |
295.000000 |
8.189364e-14 |
8.189364e-14 |
0.000000e+00 |
300.000000 |
1.243163e-13 |
1.243163e-13 |
0.000000e+00 |
305.000000 |
1.873573e-13 |
1.873573e-13 |
0.000000e+00 |
310.000000 |
2.803873e-13 |
2.803873e-13 |
0.000000e+00 |
315.000000 |
4.167438e-13 |
4.167438e-13 |
0.000000e+00 |
320.000000 |
6.152879e-13 |
6.152879e-13 |
0.000000e+00 |
325.000000 |
9.025237e-13 |
9.025237e-13 |
0.000000e+00 |
330.000000 |
1.315468e-12 |
1.315468e-12 |
0.000000e+00 |
335.000000 |
1.905512e-12 |
1.905512e-12 |
0.000000e+00 |
340.000000 |
2.743584e-12 |
2.743584e-12 |
0.000000e+00 |
345.000000 |
3.927027e-12 |
3.927027e-12 |
0.000000e+00 |
350.000000 |
5.588692e-12 |
5.588692e-12 |
0.000000e+00 |
355.000000 |
7.908913e-12 |
7.908913e-12 |
0.000000e+00 |
360.000000 |
1.113119e-11 |
1.113119e-11 |
0.000000e+00 |
365.000000 |
1.558262e-11 |
1.558262e-11 |
0.000000e+00 |
370.000000 |
2.170041e-11 |
2.170041e-11 |
0.000000e+00 |
375.000000 |
3.006603e-11 |
3.006603e-11 |
0.000000e+00 |
380.000000 |
4.144922e-11 |
4.144922e-11 |
0.000000e+00 |
385.000000 |
5.686406e-11 |
5.686406e-11 |
0.000000e+00 |
390.000000 |
7.764056e-11 |
7.764056e-11 |
0.000000e+00 |
395.000000 |
1.055152e-10 |
1.055152e-10 |
0.000000e+00 |
400.000000 |
1.427456e-10 |
1.427456e-10 |
0.000000e+00 |
405.000000 |
1.922536e-10 |
1.922536e-10 |
0.000000e+00 |
410.000000 |
2.578064e-10 |
2.578064e-10 |
0.000000e+00 |
415.000000 |
3.442399e-10 |
3.442399e-10 |
0.000000e+00 |
420.000000 |
4.577382e-10 |
4.577382e-10 |
0.000000e+00 |
425.000000 |
6.061785e-10 |
6.061785e-10 |
0.000000e+00 |
430.000000 |
7.995563e-10 |
7.995563e-10 |
0.000000e+00 |
435.000000 |
1.050508e-09 |
1.050508e-09 |
0.000000e+00 |
440.000000 |
1.374952e-09 |
1.374952e-09 |
0.000000e+00 |
445.000000 |
1.792867e-09 |
1.792867e-09 |
0.000000e+00 |
450.000000 |
2.329242e-09 |
2.329242e-09 |
0.000000e+00 |
455.000000 |
3.015229e-09 |
3.015229e-09 |
0.000000e+00 |
460.000000 |
3.889527e-09 |
3.889527e-09 |
0.000000e+00 |
465.000000 |
5.000060e-09 |
5.000060e-09 |
0.000000e+00 |
470.000000 |
6.405984e-09 |
6.405984e-09 |
0.000000e+00 |
475.000000 |
8.180092e-09 |
8.180092e-09 |
0.000000e+00 |
480.000000 |
1.041168e-08 |
1.041168e-08 |
0.000000e+00 |
485.000000 |
1.320996e-08 |
1.320996e-08 |
0.000000e+00 |
490.000000 |
1.670813e-08 |
1.670813e-08 |
0.000000e+00 |
495.000000 |
2.106811e-08 |
2.106811e-08 |
0.000000e+00 |
500.000000 |
2.648629e-08 |
2.648629e-08 |
0.000000e+00 |
505.000000 |
3.320009e-08 |
3.320009e-08 |
0.000000e+00 |
510.000000 |
4.149584e-08 |
4.149584e-08 |
0.000000e+00 |
515.000000 |
5.171790e-08 |
5.171790e-08 |
0.000000e+00 |
520.000000 |
6.427933e-08 |
6.427933e-08 |
0.000000e+00 |
525.000000 |
7.967438e-08 |
7.967438e-08 |
0.000000e+00 |
530.000000 |
9.849293e-08 |
9.849293e-08 |
0.000000e+00 |
535.000000 |
1.214373e-07 |
1.214373e-07 |
0.000000e+00 |
540.000000 |
1.493415e-07 |
1.493415e-07 |
0.000000e+00 |
545.000000 |
1.831938e-07 |
1.831938e-07 |
0.000000e+00 |
550.000000 |
2.241627e-07 |
2.241627e-07 |
0.000000e+00 |
555.000000 |
2.736261e-07 |
2.736261e-07 |
0.000000e+00 |
560.000000 |
3.332056e-07 |
3.332056e-07 |
0.000000e+00 |
565.000000 |
4.048054e-07 |
4.048054e-07 |
0.000000e+00 |
570.000000 |
4.906567e-07 |
4.906567e-07 |
0.000000e+00 |
575.000000 |
5.933683e-07 |
5.933683e-07 |
0.000000e+00 |
580.000000 |
7.159840e-07 |
7.159840e-07 |
0.000000e+00 |
585.000000 |
8.620485e-07 |
8.620485e-07 |
0.000000e+00 |
590.000000 |
1.035681e-06 |
1.035681e-06 |
0.000000e+00 |
595.000000 |
1.241659e-06 |
1.241659e-06 |
0.000000e+00 |
600.000000 |
1.485512e-06 |
1.485512e-06 |
0.000000e+00 |
605.000000 |
1.773632e-06 |
1.773632e-06 |
0.000000e+00 |
610.000000 |
2.113387e-06 |
2.113387e-06 |
0.000000e+00 |
615.000000 |
2.513261e-06 |
2.513261e-06 |
0.000000e+00 |
620.000000 |
2.983002e-06 |
2.983002e-06 |
0.000000e+00 |
625.000000 |
3.533791e-06 |
3.533791e-06 |
0.000000e+00 |
630.000000 |
4.178433e-06 |
4.178433e-06 |
0.000000e+00 |
635.000000 |
4.931564e-06 |
4.931564e-06 |
0.000000e+00 |
640.000000 |
5.809888e-06 |
5.809888e-06 |
0.000000e+00 |
645.000000 |
6.832435e-06 |
6.832435e-06 |
0.000000e+00 |
650.000000 |
8.020854e-06 |
8.020854e-06 |
0.000000e+00 |
655.000000 |
9.399729e-06 |
9.399729e-06 |
0.000000e+00 |
660.000000 |
1.099694e-05 |
1.099694e-05 |
0.000000e+00 |
665.000000 |
1.284404e-05 |
1.284404e-05 |
0.000000e+00 |
670.000000 |
1.497672e-05 |
1.497672e-05 |
0.000000e+00 |
675.000000 |
1.743524e-05 |
1.743524e-05 |
0.000000e+00 |
680.000000 |
2.026501e-05 |
2.026501e-05 |
0.000000e+00 |
685.000000 |
2.351711e-05 |
2.351711e-05 |
0.000000e+00 |
690.000000 |
2.724896e-05 |
2.724896e-05 |
0.000000e+00 |
695.000000 |
3.152501e-05 |
3.152501e-05 |
0.000000e+00 |
700.000000 |
3.641748e-05 |
3.641748e-05 |
0.000000e+00 |
705.000000 |
4.200724e-05 |
4.200724e-05 |
0.000000e+00 |
710.000000 |
4.838465e-05 |
4.838465e-05 |
0.000000e+00 |
715.000000 |
5.565060e-05 |
5.565060e-05 |
0.000000e+00 |
720.000000 |
6.391757e-05 |
6.391757e-05 |
0.000000e+00 |
725.000000 |
7.331082e-05 |
7.331082e-05 |
0.000000e+00 |
730.000000 |
8.396963e-05 |
8.396963e-05 |
0.000000e+00 |
735.000000 |
9.604874e-05 |
9.604874e-05 |
0.000000e+00 |
740.000000 |
1.097198e-04 |
1.097198e-04 |
0.000000e+00 |
745.000000 |
1.251730e-04 |
1.251730e-04 |
0.000000e+00 |
750.000000 |
1.426189e-04 |
1.426189e-04 |
0.000000e+00 |
755.000000 |
1.622902e-04 |
1.622902e-04 |
0.000000e+00 |
760.000000 |
1.844439e-04 |
1.844439e-04 |
0.000000e+00 |
765.000000 |
2.093636e-04 |
2.093636e-04 |
0.000000e+00 |
770.000000 |
2.373615e-04 |
2.373615e-04 |
0.000000e+00 |
775.000000 |
2.687815e-04 |
2.687815e-04 |
0.000000e+00 |
780.000000 |
3.040016e-04 |
3.040016e-04 |
0.000000e+00 |
785.000000 |
3.434369e-04 |
3.434369e-04 |
0.000000e+00 |
790.000000 |
3.875429e-04 |
3.875429e-04 |
0.000000e+00 |
795.000000 |
4.368189e-04 |
4.368189e-04 |
0.000000e+00 |
800.000000 |
4.918115e-04 |
4.918115e-04 |
0.000000e+00 |
800.700000 |
5.000000e-04 |
5.000000e-04 |
0.000000e+00 |
Total running time of the script: ( 0 minutes 4.859 seconds)