scc work
This commit is contained in:
parent
405c25438e
commit
9152ad8e62
@ -1,11 +1,13 @@
|
||||
from ditact_pic import plot
|
||||
from spin_image import SpinImage, FFT
|
||||
import sys
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
import glob
|
||||
import scipy.interpolate as ip
|
||||
from lattices import VO2_Lattice
|
||||
plt.style.use(["style", "colors", "one_column"])
|
||||
from spin_image import SpinImage, FFT
|
||||
from ditact_pic import plot
|
||||
|
||||
|
||||
def check_percentage(p1, p2):
|
||||
plt.figure()
|
||||
@ -32,9 +34,9 @@ def merge(files):
|
||||
out = out / summe
|
||||
merge.append(out)
|
||||
|
||||
plt.plot(out[0, :], "r")
|
||||
plt.plot(out[3, :], "b")
|
||||
plt.plot(out[2, :], "g")
|
||||
plt.plot(w_percentage,out[0, :], "r")
|
||||
plt.plot(w_percentage,out[3, :], "b")
|
||||
plt.plot(w_percentage,out[2, :], "g")
|
||||
|
||||
all = sum(merge)
|
||||
summe = np.max(np.sum(all, axis=0))
|
||||
@ -58,18 +60,23 @@ def debug(percentage, out):
|
||||
|
||||
|
||||
def stacked_plot(ax, percentage, out, title=""):
|
||||
stacks = ax.stackplot(percentage, out[[0, 3, 1, 2]], colors=[
|
||||
"w"], ls="solid", ec="k")
|
||||
hatches = ["/", "", "\\", "\\"]
|
||||
for stack, hatch in zip(stacks, hatches):
|
||||
stacks = ax.stackplot(percentage, out[[0, 3, 2]], colors=[
|
||||
"w"], ls=(0, (0, 1)), ec="w")
|
||||
hatches = ["//", "|", "\\\\"]
|
||||
for stack, hatch, color in zip(stacks, hatches, ["C1", "C0", "C2"]):
|
||||
stack.set_hatch(hatch)
|
||||
stack.set_edgecolor(color)
|
||||
ax.set_xlabel("Metallic Phase (%)")
|
||||
ax.set_ylabel("normalized Intensity ")
|
||||
ax.set_ylim([0.4, 1])
|
||||
ax.set_xlim([0., 1])
|
||||
ax.text(0.1, 0.9, "monoclinic", backgroundcolor="w")
|
||||
ax.text(0.6, 0.5, "rutile", backgroundcolor="w")
|
||||
ax.text(0.35, 0.75, "diffusive", backgroundcolor="w")
|
||||
ax.text(0.1, 0.9, "monoclinic", backgroundcolor="w",
|
||||
bbox=dict(boxstyle='square,pad=0.0', ec="None", fc="w"))
|
||||
ax.text(0.6, 0.5, "rutile", backgroundcolor="w",
|
||||
bbox=dict(boxstyle='square,pad=0.0', ec="None", fc="w"))
|
||||
ax.text(0.35, 0.73, "diffusive", backgroundcolor="w",
|
||||
bbox=dict(boxstyle='square,pad=0.0', ec="None", fc="w"))
|
||||
ax.stackplot(percentage, out[[0, 3, 2]], colors=["None"], ec="k")
|
||||
|
||||
|
||||
def time_scale(ax, p, o):
|
||||
@ -86,21 +93,23 @@ def time_scale(ax, p, o):
|
||||
cs_rut = ip.interp1d(p[::-1], rut_perc[::-1])
|
||||
cs_mono = ip.interp1d(p[::-1], mono_perc[::-1])
|
||||
|
||||
#plt.figure()
|
||||
#ph = np.linspace(0.01, 0.99, 100)
|
||||
#plt.plot(ph, cs_rut(ph))
|
||||
#plt.plot(ph, cs_mono(ph))
|
||||
# plt.figure()
|
||||
# ph = np.linspace(0.01, 0.99, 100)
|
||||
# plt.plot(ph, cs_rut(ph))
|
||||
# plt.plot(ph, cs_mono(ph))
|
||||
|
||||
time = np.linspace(0.01, 3, 1000)
|
||||
phy_phase = np.exp(-time)
|
||||
phy_phase = 1-np.exp(-time)
|
||||
rut_phase = cs_rut(phy_phase)
|
||||
mono_phase = cs_mono(phy_phase)
|
||||
|
||||
ax.plot(time, phy_phase, "k:", label="physical")
|
||||
ax.plot(time, rut_phase, label="rutile")
|
||||
ax.plot(time, mono_phase, label="monoclinic")
|
||||
ax.plot(time, rut_phase, label="rutile", color="C1")
|
||||
ax.plot(time, mono_phase, label="monoclinic", color="C2")
|
||||
ax.set_xlabel("time (a.u.)")
|
||||
ax.set_ylabel("Metallic Phase (%)")
|
||||
ax.set_xlim([0, 3])
|
||||
ax.set_ylim([0, 1])
|
||||
ax.legend()
|
||||
|
||||
|
||||
@ -110,29 +119,66 @@ def read_file(file):
|
||||
o = files["o"]
|
||||
return p, o
|
||||
|
||||
|
||||
def intens(ax, file, p, o):
|
||||
intens = FFT()
|
||||
intens.load(file)
|
||||
plot(intens, ax)
|
||||
ax.set_xlim([-.8,0.8])
|
||||
ax.set_ylim([-.8,1.6])
|
||||
axins = ax.inset_axes([0.0, 0.5, 0.47, 0.5])
|
||||
axins.plot(p, o[0], label="rut")
|
||||
axins.plot(p, o[3], label="diff")
|
||||
axins.plot(p, o[2], label="mono")
|
||||
axins.legend(loc='lower left', bbox_to_anchor=(1, 0.5))
|
||||
#axins.get_yaxis().set_visible(False)
|
||||
axins.yaxis.tick_right()
|
||||
axins.set_yticks([0,0.5]
|
||||
ax.set_xlim([-1, 1])
|
||||
ax.set_ylim([-.9, .9])
|
||||
ax.axis("off")
|
||||
|
||||
#rect = plt.Rectangle((-1, -.8), 2, 1.6, facecolor="None", hatch="//")
|
||||
# ax.add_patch(rect)
|
||||
lat = VO2_Lattice(20, 20)
|
||||
reci = lat.get_spots()
|
||||
print(reci)
|
||||
size = (intens.freqx[1] - intens.freqx[0]) * 20
|
||||
size2 = size/2
|
||||
# big_rect = plt.Rectangle((-10, -10), 20, 20, fc="None", ec="k", hatch="//")
|
||||
# ax.add_patch(big_rect)
|
||||
for x, y in zip(reci[0][0], reci[0][1]):
|
||||
if x < 1 and x > -1:
|
||||
if y < 1 and y > -1:
|
||||
print(x, y)
|
||||
rect = plt.Rectangle((-y-size2, x-size2),
|
||||
size, size, fc="C1", ec="k", alpha=0.5)
|
||||
# big_rect.set_clip_path(rect)
|
||||
ax.add_patch(rect)
|
||||
for x, y in zip(reci[1][0], reci[1][1]):
|
||||
if x < 1 and x > -1:
|
||||
if y < 1 and y > -1:
|
||||
print(x, y)
|
||||
rect = plt.Rectangle((-y-size2, x-size2),
|
||||
size, size, fc="C2", ec="k", alpha=0.5)
|
||||
ax.add_patch(rect)
|
||||
|
||||
axins = ax.inset_axes([0.0, 0.0, 0.5, 0.5])
|
||||
axins.plot(p, o[0], label="rut.", color="C1")
|
||||
axins.plot(p, o[2], label="mono.", color="C2")
|
||||
axins.plot(p, o[3], label="diff.", color="C0")
|
||||
axins.legend(loc='center left', bbox_to_anchor=(1, 0.5))
|
||||
axins.set_xlim([0, 1])
|
||||
axins.set_ylim([0, 1])
|
||||
axins.set_xlabel("phase (%)")
|
||||
axins.set_ylabel("signal",labelpad=-5)
|
||||
|
||||
# axins.get_yaxis().set_visible(False)
|
||||
# axins.yaxis.tick_right()
|
||||
axins.set_yticks([0, 1])
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
p, o = merge(sys.argv[2:])
|
||||
np.savez("merged.npz", p=p, o=o)
|
||||
# eval_data_print(f)
|
||||
|
||||
fig, axs = plt.subplots(1,3)
|
||||
fig.set_figheight(3)
|
||||
stacked_plot(axs[1],p, o)
|
||||
time_scale(axs[2],p, o)
|
||||
intens(axs[0], sys.argv[1], p ,o)
|
||||
fig, axs = plt.subplots(1, 3)
|
||||
fig.set_figheight(2)
|
||||
stacked_plot(axs[1], p, o)
|
||||
time_scale(axs[2], p, o)
|
||||
intens(axs[0], sys.argv[1], p, o)
|
||||
plt.tight_layout()
|
||||
plt.savefig("analysis.pdf")
|
||||
plt.savefig("analysis.png")
|
||||
plt.show()
|
||||
|
||||
@ -6,7 +6,7 @@ import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
if __name__ == "__main__":
|
||||
plt.style.use(["style", "colors","two_column"])
|
||||
plt.style.use(["style", "colors", "two_column"])
|
||||
|
||||
|
||||
def simulate():
|
||||
@ -52,13 +52,15 @@ def plot(fft, ax):
|
||||
origin="lower"
|
||||
)
|
||||
|
||||
|
||||
def norm(*intenss):
|
||||
max = 1e-10
|
||||
for intens in intenss:
|
||||
m = np.max(intens.intens)
|
||||
max = np.maximum(max,m)
|
||||
max = np.maximum(max, m)
|
||||
return max
|
||||
|
||||
|
||||
def plot_all(intens_rutile, intens_mono, intens_mixed):
|
||||
fig, axs = plt.subplots(3, 2)
|
||||
fig.set_figheight(5.2)
|
||||
@ -75,19 +77,22 @@ def plot_all(intens_rutile, intens_mono, intens_mixed):
|
||||
h_shift = 2*y_shift
|
||||
l_shift = 0.108
|
||||
big_shift = l_shift + h_shift
|
||||
c = plt.Circle((-l_shift, y_shift), radius=0.07,
|
||||
label='patch', fill=False, ec="w", ls=":")
|
||||
ax.add_patch(c)
|
||||
c = plt.Circle((l_shift, -y_shift), radius=0.07,
|
||||
label='patch', fill=False, ec="w", ls=":")
|
||||
ax.add_patch(c)
|
||||
# c = plt.Circle((-l_shift, y_shift), radius=0.07,
|
||||
# label='patch', fill=False, ec="w", ls=":")
|
||||
# ax.add_patch(c)
|
||||
# c = plt.Circle((l_shift, -y_shift), radius=0.07,
|
||||
# label='patch', fill=False, ec="w", ls=":")
|
||||
# ax.add_patch(c)
|
||||
|
||||
c = plt.Circle((-h_shift, -y_shift), radius=0.07,
|
||||
label='patch', fill=False, ec="w", ls=":")
|
||||
ax.add_patch(c)
|
||||
c = plt.Circle((h_shift, y_shift), radius=0.07,
|
||||
label='patch', fill=False, ec="w", ls=":")
|
||||
ax.add_patch(c)
|
||||
# c = plt.Circle((-h_shift, -y_shift), radius=0.07,
|
||||
# label='patch', fill=False, ec="w", ls=":")
|
||||
# ax.add_patch(c)
|
||||
# c = plt.Circle((h_shift, y_shift), radius=0.07,
|
||||
# label='patch', fill=False, ec="w", ls=":")
|
||||
# ax.add_patch(c)
|
||||
|
||||
ax.annotate("", (-l_shift, y_shift), (0, 0),
|
||||
arrowprops=dict(ec='w', facecolor='white', width=.8, headwidth=3, headlength=5))
|
||||
|
||||
ax = axs[2]
|
||||
cmap = plot(intens_mixed, ax)
|
||||
@ -98,12 +103,12 @@ def plot_all(intens_rutile, intens_mono, intens_mixed):
|
||||
ax.set_xlim(-cut_off, cut_off)
|
||||
ax.set_ylim(-cut_off, cut_off)
|
||||
plt.tight_layout()
|
||||
fig.subplots_adjust(bottom=0.1,right=0.95,left=0.15,wspace=0.)
|
||||
fig.subplots_adjust(bottom=0.1, right=0.95, left=0.15, wspace=0.)
|
||||
cbar_ax = fig.add_axes([0.55, 0.07, 0.4, 0.015])
|
||||
cbar = fig.colorbar(cmap, cax=cbar_ax, orientation="horizontal", ticks=[1e-10, 1e-5, 1e0])
|
||||
cbar = fig.colorbar(cmap, cax=cbar_ax,
|
||||
orientation="horizontal", ticks=[1e-10, 1e-5, 1e0])
|
||||
#cbar.ax.set_xticklabels(['Low', 'Medium', 'High'])
|
||||
|
||||
|
||||
fig.savefig("erklaerbaer.pdf")
|
||||
fig.savefig("erklaerbaer.png")
|
||||
# Plotting cuts
|
||||
@ -122,10 +127,10 @@ def load():
|
||||
|
||||
if __name__ == "__main__":
|
||||
np.random.seed(1234)
|
||||
#simulate()
|
||||
simulate()
|
||||
# np.savez("intens.npz", r=r, mo=mo, mi=mi)
|
||||
r, mo, mi = load()
|
||||
max = norm(r,mo,mi)
|
||||
max = norm(r, mo, mi)
|
||||
r.intens = r.intens/max
|
||||
mo.intens = mo.intens/max
|
||||
mi.intens = mi.intens/max
|
||||
|
||||
81
clean_python/ising.py
Normal file
81
clean_python/ising.py
Normal file
@ -0,0 +1,81 @@
|
||||
import logging
|
||||
import scipy.fftpack as sfft
|
||||
from plotter import Plotter
|
||||
from scipy import signal
|
||||
from cache import timeit
|
||||
from extractors import Rect_Evaluator
|
||||
import tqdm
|
||||
from lattices import SCC_Lattice, VO2_Lattice, VO2_New
|
||||
import sys
|
||||
from spin_image import SpinImage
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
plt.style.use(["style", "colors", "two_column"])
|
||||
logger = logging.getLogger('fft')
|
||||
# logger.setLevel(logging.DEBUG)
|
||||
ch = logging.StreamHandler()
|
||||
ch.setLevel(logging.DEBUG)
|
||||
formatter = logging.Formatter(
|
||||
'%(asctime)s - %(name)s - %(levelname)s - %(message)s')
|
||||
ch.setFormatter(formatter)
|
||||
logger.addHandler(ch)
|
||||
|
||||
|
||||
def ising(file):
|
||||
LEN = 120
|
||||
#lat = VO2_New(LEN, LEN)
|
||||
lat = VO2_New(LEN, LEN)
|
||||
rect = Rect_Evaluator(lat.get_spots())
|
||||
|
||||
out_rect = [[] for x in range(4)]
|
||||
percentage = []
|
||||
weighted_percentage = []
|
||||
si = SpinImage(lat.get_phases())
|
||||
already_inited = False
|
||||
|
||||
spins = np.load(file)["s1"]
|
||||
spins[spins==-1] = 0
|
||||
|
||||
for i in tqdm.tqdm(range(1000)):
|
||||
|
||||
(ix,iy) = np.random.randint(2000-LEN-LEN,size=2)
|
||||
maske = spins[ix:ix+2*LEN, iy:iy+2*LEN]
|
||||
|
||||
si.apply_mask(lat.parse_mask(maske))
|
||||
si.gaussian(20)
|
||||
|
||||
intens = si.fft()
|
||||
if not already_inited:
|
||||
rect.generate_mask(intens, merge=True)
|
||||
already_inited = True
|
||||
|
||||
ir, vr = rect.extract(intens)
|
||||
for lis, val in zip(out_rect, vr):
|
||||
lis.append(val)
|
||||
percentage.append(np.sum(maske))
|
||||
[p1, p2] = si.get_intens(lat.parse_mask(maske))
|
||||
weighted_percentage.append(p1/(p1+p2))
|
||||
|
||||
percentage = np.array(percentage)
|
||||
weighted_percentage = np.array(weighted_percentage)
|
||||
percentage /= np.max(percentage)
|
||||
|
||||
np.savez(f"ising_rect_{seed}.npz",
|
||||
w_percentage=weighted_percentage, percentage=percentage, out_1=out_rect[0],
|
||||
out_2=out_rect[1], out_3=out_rect[2], out_4=out_rect[3])
|
||||
|
||||
def runner(file):
|
||||
np.random.seed(1234)
|
||||
print(f"runnig: {file}")
|
||||
ising(file)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
files = sys.argv[2:]
|
||||
idx = int(sys.argv[1])
|
||||
print(f"{idx}/{len(files)}")
|
||||
if idx > len(files):
|
||||
exit()
|
||||
if idx < 1:
|
||||
exit()
|
||||
runner(files[idx-1])
|
||||
Loading…
Reference in New Issue
Block a user