def choose_stars(self):
for star in self.stars:
star.plot_velocities();
star.plot_intensities();
isContinue = raw_input('Choose this star? (y/n/b/q)');
if isContinue == 'q':
closefigs();
sys.exit(0);
elif isContinue == 'b':
break;
elif isContinue == "y":
isTryInputParameters = True;
while (isTryInputParameters):
param = raw_input("input your best guess for \
velocity model parameters as a list \
\"v_mean v_r P t_0\" s");
if param == "q":
sys.exit(1);
param = param.split();
for i in range(len(param)):
param[i] = float(param[i]);
print "Your input:";
print param;
if isinstance(param, (list, tuple)) and len(param) == 4:
star.guessedParameters = list(param);
isTryInputParameters = False;
else:
print "Invalid parameters, try again"
self.chosen_stars.append(star);
elif isContinue == "n":
print "Ok. Presenting next star";
closefigs();
print "No more stars";
def choose_stars(self):
for star in self.stars:
star.plot_velocities()
star.plot_intensities()
isContinue = raw_input('Choose this star? (y/n/b/q)')
if isContinue == 'q':
closefigs()
sys.exit(0)
elif isContinue == 'b':
break
elif isContinue == "y":
isTryInputParameters = True
while (isTryInputParameters):
param = raw_input("input your best guess for \
velocity model parameters as a list \
\"v_mean v_r P t_0\" s")
if param == "q":
sys.exit(1)
param = param.split()
for i in range(len(param)):
param[i] = float(param[i])
print "Your input:"
print param
if isinstance(param, (list, tuple)) and len(param) == 4:
star.guessedParameters = list(param)
isTryInputParameters = False
else:
print "Invalid parameters, try again"
self.chosen_stars.append(star)
elif isContinue == "n":
print "Ok. Presenting next star"
closefigs()
print "No more stars"
def plotBySimulation(self):
for i in range(len(self.simulations)):
sim = self.simulations[i];
figure(i);
for j in range(len(sim.states)):
plot(sim.rho, sim.states[j]**2, legend=r"$\psi_{%d}, \lambda= %g$" % (j, sim.eigenvalues[j]), xlabel=r'$\frac{1}{\alpha}r$', ylabel=r'$\alpha|\psi_n|^2$')
title("$\omega = %g$" %sim.omega)
hold('on')
raw_input("press enter")
closefigs()
def plotByOmega(self, omegalimit = 0.1):
for sim in self.simulations:
for i in range(len(sim.states)):
if sim.omega >= omegalimit:
figure(i);
plot(sim.rho, sim.states[i]**2, legend="$\omega= %g, \lambda= %g$" % (sim.omega, sim.eigenvalues[i]), xlabel=r'$\frac{1}{\alpha}r$', \
ylabel=r'$\alpha|\psi_n|^2$')
title(r"$\psi_{%d}$" % i);
hold('on')
raw_input("press enter")
closefigs();
def plotByOmega(self, omegalimit=0.1):
for sim in self.simulations:
for i in range(len(sim.states)):
if sim.omega >= omegalimit:
figure(i)
plot(sim.rho, sim.states[i]**2, legend="$\omega= %g, \lambda= %g$" % (sim.omega, sim.eigenvalues[i]), xlabel=r'$\frac{1}{\alpha}r$', \
ylabel=r'$\alpha|\psi_n|^2$')
title(r"$\psi_{%d}$" % i)
hold('on')
raw_input("press enter")
closefigs()
def plotBySimulation(self):
for i in range(len(self.simulations)):
sim = self.simulations[i]
figure(i)
for j in range(len(sim.states)):
plot(sim.rho,
sim.states[j]**2,
legend=r"$\psi_{%d}, \lambda= %g$" %
(j, sim.eigenvalues[j]),
xlabel=r'$\frac{1}{\alpha}r$',
ylabel=r'$\alpha|\psi_n|^2$')
title("$\omega = %g$" % sim.omega)
hold('on')
raw_input("press enter")
closefigs()
def analyze_stars(self, destination):
for star in self.chosen_stars:
star.plot_fitted_velocities(destination+star.filename+".png");
star.output_data(destination+star.filename+".txt");
closefigs();
def analyze_stars(self, destination):
for star in self.chosen_stars:
star.plot_fitted_velocities(destination + star.filename + ".png")
star.output_data(destination + star.filename + ".txt")
closefigs()