methods = [
'-tmi',
'-toe',
'-tmmc',
]
for i in range(len(methods)):
method = methods[i]
fbase = 'data/lv/ww%.2f-ff%.2f-%gx%g%s' % (ww, ff, lenx, lenyz, method)
fname = fbase + '-density.dat'
try:
minT = readandcompute.minT(fname)
convergedT = readandcompute.convergedT(fname)
for T in Ts:
if T >= minT and T >= convergedT * 0.8:
density, x = readandcompute.density_x(fbase, T)
plt.plot(x / 2, density, color(T) + lines[i])
if first_method or method == the_first_method:
if first_temperature[i]:
plt.plot(x / 2,
density,
color(T) + lines[i],
label='T=%g %s (converged to %.2g)' %
(T, method[1:], convergedT))
first_temperature[i] = False
else:
plt.plot(x / 2,
density,
color(T) + lines[i],
label='T=%g' % T)
the_first_method = method
matplotlib.rc("font", **{"family": "serif", "serif": ["Computer Modern"]})
matplotlib.rc("text", usetex=True)
import readandcompute
ww = float(sys.argv[1])
# arg ww = [1.3]
ff = float(sys.argv[2])
# arg ff = [0.1]
lenx = float(sys.argv[3])
# arg lenx = [50,100]
lenyz = float(sys.argv[4])
# arg lenyz = [10]
T = float(sys.argv[5])
# arg T = [1.0,10.0]
plt.figure()
density, x = readandcompute.density_x("data/lv/ww%.2f-ff%.2f-%gx%g" % (ww, ff, lenx, lenyz), T)
plt.plot(x / 2, density)
plt.ylim(0)
plt.xlabel(r"$z/\sigma$")
plt.ylabel(r"$\eta$")
plt.title(r"$\eta(z)$ with $\lambda = %g$, $\eta=%g$, and $T/\epsilon = %g$" % (ww, ff, T))
plt.savefig("figs/liquid-vapor-ww%.2f-ff%.2f-%gx%g-T%.2g.pdf" % (ww, ff, lenx, lenyz, T))
plt.show()
first_method = True
the_first_method = ''
first_temperature = [True, True, True]
methods = ['-tmi', '-toe', '-tmmc', ]
for i in range(len(methods)):
method = methods[i]
fbase = 'data/lv/ww%.2f-ff%.2f-%gx%g%s' % (ww,ff,lenx,lenyz,method)
fname = fbase + '-density.dat'
try:
minT = readandcompute.minT(fname)
convergedT = readandcompute.convergedT(fname)
for T in Ts:
if T >= minT and T >= convergedT*0.8:
density, x = readandcompute.density_x(fbase, T)
plt.plot(x/2, density, color(T)+lines[i])
if first_method or method == the_first_method:
if first_temperature[i]:
plt.plot(x/2, density, color(T)+lines[i],
label='T=%g %s (converged to %.2g)' % (T, method[1:], convergedT))
first_temperature[i] = False
else:
plt.plot(x/2, density, color(T)+lines[i], label='T=%g' % T)
the_first_method = method
first_method = False
elif first_temperature[i]:
plt.plot(x/2, density, color(T)+lines[i],
label='T=%g %s (converged to %.2g)' % (T, method[1:], convergedT))
first_temperature[i] = False
else:
