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testscvheosintenergy.py
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testscvheosintenergy.py
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#!/usr/bin/env python2
"""
Plot u(rho, T) for different isotherms.
"""
from matplotlib import *
from matplotlib.pyplot import *
import numpy
def main():
"""
Setup the plot.
"""
# Set a font
rcParams['font.family'] = 'serif'
rcParams['font.size'] = 10.0
# Legend
# mpl.rcParams['legend.handlelength'] = 2.9
rcParams['legend.handlelength'] = 0.5
rcParams['legend.frameon'] = False
rcParams['legend.numpoints'] = 1
rcParams['legend.scatterpoints'] = 1
# Adjust axes line width
rcParams['axes.linewidth'] = 0.5
# Adjust ticks
rcParams['xtick.major.size'] = 4
rcParams['xtick.minor.size'] = 2
rcParams['ytick.major.size'] = 4
rcParams['ytick.minor.size'] = 2
# Adjust Font Size
rcParams['xtick.labelsize'] = 'x-small'
rcParams['ytick.labelsize'] = 'x-small'
rcParams['axes.labelsize'] = 'small'
rcParams['axes.titlesize'] = 'small'
# Adjust Line Width and Marker Size
rcParams['lines.markersize'] = 5
rcParams['lines.linewidth'] = 0.5
# Restore classic font used for math
rcParams['mathtext.fontset'] = 'cm'
rcParams['mathtext.rm'] = 'serif'
# Set Up Figure, Single Column MNRAS
fig = gcf()
ax = gca()
fig, ax = subplots(1,1)
fig.set_size_inches(8.27*0.39,8.27*(6./8.)*0.39)
"""
SCVH EOS table for H.
"""
data = numpy.loadtxt("scvh_h_dt_cgs.csv", delimiter=",", skiprows=1)
#data = numpy.loadtxt("scvh_he_dt_cgs.csv", delimiter=",", skiprows=1)
#data = numpy.loadtxt("scvh_hhe_y0.275_dt_cgs.csv", delimiter=",", skiprows=1)
logT_table = data[:, 0]
logrho_table = data[:, 1]
logP_table = data[:, 2]
logu_table = data[:, 3]
logs_table = data[:, 4]
# All SCVH EOS tables obtained from Ravit have the same size
nRho = 201
nT = 100
logrho_table = logrho_table[0:nRho]
logT_table = logT_table[0:numpy.size(logT_table):nRho]
logrho_min = numpy.min(logrho_table)
logrho_max = numpy.max(logrho_table)
logT_min = numpy.min(logT_table)
logT_max = numpy.max(logT_table)
dlogrho = logrho_table[1:]-logrho_table[:-1]
dlogT = logT_table[1:]-logT_table[:-1]
print "logrho_min=", logrho_min
print "logrho_max=", logrho_max
print "logT_min =", logT_min
print "logT_max =", logT_max
print "logrho_table=", logrho_table
print "logT_table =", logT_table
print
index = numpy.min(numpy.where(logT_table>=2.0))
print "i=", index, "logT=", logT_table[index]
# Split into arrays of constant T
logP_array = numpy.split(logP_table, nT)
logu_array = numpy.split(logu_table, nT)
logs_array = numpy.split(logs_table, nT)
"""
Internal energy.
"""
data = numpy.loadtxt("testscvheosintenergy.txt")
num_isotherms = numpy.size(data[0,1:])
logrho = data[:,0]
logu = data[:,1:num_isotherms+1]
print "num_isotherms=", num_isotherms
# Plot all isotherms
for i in range(0, num_isotherms):
if i<nT:
plot(logrho_table, logu_array[i], '-')
plot(logrho, logu[:, i], '--')
title("SCVH EOS for H")
xlabel("Log Density")
ylabel("Log Internal Energy")
savefig('testscvheosintenergy.png', dpi=300, bbox_inches='tight')
#show()
fig = gcf()
fig.clear()
# Now plot the isotherms below logT=2.0
for i in range(0, index+1):
plot(logrho_table, logu_array[i], '-')
plot(logrho, logu[:, i], '-o')
for i in range(index+1, index+20):
plot(logrho_table, logu_array[i], '--')
plot(logrho, logu[:, i], '-*')
# Zoom in to the weird region
xlim(-0.97, -0.95)
ylim(10.0, 10.15)
title("SCVH EOS for H")
xlabel("Log Density")
ylabel("Log Internal Energy")
savefig('testscvheosintenergy_zoom.png', dpi=300, bbox_inches='tight')
# Zoom in to the weird region
xlim(-0.15, -0.05)
ylim(11.8, 12.2)
title("SCVH EOS for H")
xlabel("Log Density")
ylabel("Log Internal Energy")
savefig('testscvheosintenergy_zoom2.png', dpi=300, bbox_inches='tight')
show()
exit(0)
if __name__ == '__main__':
main()