scan['k_{24}'] = k24
scan['\\Lambda'] = Lambda
scan['\\omega'] = omega
loadsuf=["K_{33}","k_{24}","\\Lambda","\\omega","\\gamma_s"]
psistuff = PsiData(scan=scan,loadsuf=loadsuf,savesuf=loadsuf)
rs = psistuff.r()/8.0*1000
psis = psistuff.psi()
observablestuff = ObservableData(scan=scan,loadsuf=loadsuf,savesuf=loadsuf)
print(observablestuff.surfacetwist())
R = observablestuff.R()/8.0*1000
fig = plt.figure()
width = 3.487
height = width
fig.set_size_inches(2*width,height)
ax1 = fig.add_subplot(1,2,1)
ax1.plot(rs,psis,'.',label=rf'$\Lambda={Lambda}$')
savesuf=savesuf)
if not obsfwd.file_exists:
continue
obsfwd.sort_observables()
obsfwd.remove_duplicates()
Lambdas = obsfwd.data[:,0]
#obsbkwd = ObservableData(["\\Lambda"],scan_dir='scanbackward',scan=scan,loadsuf=loadsuf,
# savesuf=savesuf)
#obsbkwd.sort_observables()
ysfwd = [obsfwd.E(),obsfwd.R(),obsfwd.eta(),obsfwd.delta(),obsfwd.surfacetwist()]
#ysbkwd = [obsbkwd.E(),obsbkwd.R(),obsbkwd.eta(),obsbkwd.delta(),obsbkwd.surfacetwist()]
for i,observable in enumerate(observable_list):
if observable == 'surfacetwist':
ylabel = r'$\psi(R)$'
elif observable == 'eta':
ylabel = r'$2\pi/\eta$'
ysfwd[i] = 2*np.pi/ysfwd[i]
elif observable == 'delta':
ylabel = r'$\delta/\delta_0$'
ysfwd[i] = ysfwd[i]/np.sqrt(2/3)
elif len(observable) > 1:
k24 = pair[1]
scan = {}
scan['\\gamma_s'] = gamma
scan['k_{24}'] = k24
scan['\\omega'] = str(omega)
obsfwd = ObservableData(["\\Lambda"],
scan_dir='scanforward',
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
Lambdas = obsfwd.data[:, 0]
x, y = obsfwd.surfacetwist()[1:], 2 * np.pi / obsfwd.eta()[1:]
ax.plot(x, y, '.', color=colors[js])
ax.plot(x[-1], y[-1], 'rs')
dums = np.linspace(0.05, 0.25, num=150, endpoint=True)
ax.plot(dums, np.cos(dums), '--')
ax.set_xlabel(r"$\psi(R)$", fontsize=10)
ax.set_ylabel(r"$2\pi/\eta$", fontsize=10)
fig.subplots_adjust(left=0.1, right=0.9, bottom=0.15, top=0.95)
fig.savefig(obsfwd.observable_sname("twistvsdband", plot_format="pdf"))
plt.show()
k24 = pair[1]
scan = {}
scan['\\gamma_s'] = gamma
scan['k_{24}'] = k24
scan['\\omega'] = str(omega)
obsfwd = ObservableData(["\\Lambda"],
scan_dir='scanforward',
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
Lambdas = obsfwd.data[:, 0]
ysfwd = [obsfwd.R(), obsfwd.surfacetwist()]
if js == 1:
obsbkwd = ObservableData(["\\Lambda"],
scan_dir='scanbackward',
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
obsbkwd.sort_observables()
ysbkwd = [obsbkwd.R(), obsbkwd.surfacetwist()]
for i, observable in enumerate(observable_list):
if observable == 'surfacetwist':
ylabel = r'$\psi(R)$'
else:
scan['\\omega'] = omega
obsfwd = ObservableData(["\\gamma_s"],
scan_dir='scanforward',
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
gammas = obsfwd.data[:, 0]
ysfwd = [
obsfwd.E(),
obsfwd.R(),
obsfwd.eta(),
obsfwd.delta(),
obsfwd.surfacetwist()
]
"""
obsbkwd = ObservableData(["\\gamma_s"],scan_dir='scanbackward',scan=scan,loadsuf=loadsuf,
savesuf=savesuf)
ysbkwd = [obsbkwd.R(),obsbkwd.surfacetwist()]
g_small,g_large,g_eq = find_metastable(obsfwd.R(),obsbkwd.R(),
obsfwd.E(),obsbkwd.E())
print(g_small,g_large,g_eq)
"""
for i, observable in enumerate(observable_list):
scan['\\Lambda'] = Lambda
print(Lambda)
obsfwd = ObservableData(["strain"],
scan_dir='scanforward',
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
#obsfwd.sort_observables()
#obsfwd.remove_duplicates()
strains = obsfwd.data[:, 0]
stresses = np.gradient(obsfwd.E(), strains)
stresses[0] = 0.0
#ysfwd = [obsfwd.E(),obsfwd.R(),obsfwd.delta(),obsfwd.surfacetwist(),stresses]
ysfwd = [stresses, obsfwd.delta(), obsfwd.surfacetwist()]
if obsfwd.E()[0] > 1e299:
print("bad calculation at Lambda = ", Lambda)
continue
for i, observable in enumerate(observable_list):
if observable == 'surfacetwist':
ylabel = r'$\psi(R)$'
elif observable == "stress":
ylabel = r"$\sigma$"
elif observable == 'delta':
ylabel = r'$\delta/\delta_0$'
ysfwd[i] = ysfwd[i] / np.sqrt(2 / 3)
elif len(observable) > 1:
ylabel = fr'$\{observable}$'
loadsuf=loadsuf,
savesuf=savesuf)
obsbkwd = ObservableData(["\\Lambda"],
scan_dir='scanbackward',
scan=scan,
loadsuf=loadsuf,
savesuf=savesuf)
obsbkwd.sort_observables()
observable_list = ['E', 'R', 'eta', 'delta', 'surfacetwist']
ysfwd = [
obsfwd.E(),
obsfwd.R(),
obsfwd.eta(),
obsfwd.delta(),
obsfwd.surfacetwist()
]
ysbkwd = [
obsbkwd.E(),
obsbkwd.R(),
obsbkwd.eta(),
obsbkwd.delta(),
obsbkwd.surfacetwist()
]
for i, observable in enumerate(observable_list):
fig[observable] = plt.figure()
ax[observable] = fig[observable].add_subplot(1, 1, 1)
fig[observable].set_size_inches(width, height)
for j,Lambda in enumerate(Lambdas):
scan = {}
scan['\\Lambda']=Lambda
scan['k_{24}']=k24
scan['\\omega']=omega
obsfwd = ObservableData(["\\gamma_s"],scan_dir='scanforward',scan=scan,loadsuf=loadsuf,
savesuf=savesuf)
gammas = obsfwd.data[:,0]
ysfwd = [obsfwd.E(),obsfwd.R(),obsfwd.eta(),
obsfwd.delta(),obsfwd.surfacetwist()]
"""
obsbkwd = ObservableData(["\\gamma_s"],scan_dir='scanbackward',scan=scan,loadsuf=loadsuf,
savesuf=savesuf)
ysbkwd = [obsbkwd.R(),obsbkwd.surfacetwist()]
g_small,g_large,g_eq = find_metastable(obsfwd.R(),obsbkwd.R(),
obsfwd.E(),obsbkwd.E())
print(g_small,g_large,g_eq)
"""
for i,observable in enumerate(observable_list):