updated picture
This commit is contained in:
parent
6ed08e3695
commit
3f8fdd38d1
GPG Key ID:
2194FC747048A7FD
@ -6,7 +6,7 @@ import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
|
||||
plt.style.use("two_column")
|
||||
plt.style.use(["style", "colors","two_column"])
|
||||
|
||||
|
||||
def simulate():
|
||||
@ -14,19 +14,19 @@ def simulate():
|
||||
lat = VO2_New(LEN, LEN)
|
||||
plot = Plotter(lat)
|
||||
si = SpinImage(lat.get_phases())
|
||||
mask_misk = np.ones((LEN, 2*LEN))
|
||||
mask_misk = np.ones((2*LEN, 2*LEN))
|
||||
ind = np.arange(mask_misk.size)
|
||||
np.random.shuffle(ind)
|
||||
mask_misk[np.unravel_index(
|
||||
ind[:int(mask_misk.size/2)], mask_misk.shape)] = 0
|
||||
print(mask_misk.shape)
|
||||
|
||||
si.apply_mask(lat.parse_mask(np.zeros((LEN, 2*LEN))))
|
||||
si.apply_mask(lat.parse_mask(np.ones((2*LEN, 2*LEN))))
|
||||
si.gaussian(20)
|
||||
intens_mono = si.fft()
|
||||
intens_mono.clean()
|
||||
|
||||
si.apply_mask(lat.parse_mask(np.ones((LEN, 2*LEN))))
|
||||
si.apply_mask(lat.parse_mask(np.zeros((2*LEN, 2*LEN))))
|
||||
si.gaussian(20)
|
||||
intens_rutile = si.fft()
|
||||
intens_rutile.clean()
|
||||
@ -43,18 +43,25 @@ def simulate():
|
||||
|
||||
|
||||
def plot(fft, ax):
|
||||
ax.imshow(
|
||||
return ax.imshow(
|
||||
fft.intens,
|
||||
extent=fft.extents(),
|
||||
norm=matplotlib.colors.LogNorm(),
|
||||
norm=matplotlib.colors.LogNorm(vmin=1e-10, vmax=1),
|
||||
#norm=matplotlib.colors.Normalize(vmax=1, vmin=1e-10),
|
||||
cmap="magma",
|
||||
origin="lower"
|
||||
)
|
||||
|
||||
def norm(*intenss):
|
||||
max = 1e-10
|
||||
for intens in intenss:
|
||||
m = np.max(intens.intens)
|
||||
max = np.maximum(max,m)
|
||||
return max
|
||||
|
||||
def plot_all(intens_rutile, intens_mono, intens_mixed):
|
||||
fig, axs = plt.subplots(4, 2)
|
||||
fig.set_figheight(6)
|
||||
fig, axs = plt.subplots(3, 2)
|
||||
fig.set_figheight(5.2)
|
||||
for ax in axs.flatten():
|
||||
ax.axis("off")
|
||||
axs = axs[:, 1]
|
||||
@ -83,33 +90,20 @@ def plot_all(intens_rutile, intens_mono, intens_mixed):
|
||||
ax.add_patch(c)
|
||||
|
||||
ax = axs[2]
|
||||
plot(intens_mixed, ax)
|
||||
# c = matplotlib.patches.Ellipse((0., 0.), width=0.2, height=1.4, angle=45,
|
||||
# label='patch', fill=False, ec="w", ls=":")
|
||||
# height = 1.4
|
||||
# width = 0.0
|
||||
# c = matplotlib.patches.Rectangle((-width/2, -height/2), width=width, height=height,
|
||||
# angle=45, rotation_point="center",
|
||||
# label='patch', fill=False, ec="w", ls=":")
|
||||
# ax.add_patch(c)
|
||||
ax.plot([-1, 1], [1, -1], "w", linestyle=(0, (2, 6)))
|
||||
|
||||
ax = axs[3]
|
||||
plot(intens_mixed, ax)
|
||||
ax.plot([-1, 1], [0, 0], "w", linestyle=(0, (2, 6)))
|
||||
ax.plot([-1, 1], [2 * y_shift, 2 * y_shift], "w", linestyle=(0, (2, 6)))
|
||||
ax.plot([-1, 1], [-2*y_shift, -2*y_shift], "w", linestyle=(0, (2, 6)))
|
||||
|
||||
ax.plot([-100*l_shift + big_shift*.5, 100*l_shift + big_shift*.5],
|
||||
[y_shift*100, -y_shift*100], "w", linestyle=(0, (2, 6)))
|
||||
ax.plot([-100*l_shift - big_shift*.5, 100*l_shift - big_shift*.5],
|
||||
[y_shift*100, -y_shift*100], "w", linestyle=(0, (2, 6)))
|
||||
cmap = plot(intens_mixed, ax)
|
||||
|
||||
cut_off = 0.8
|
||||
for ax in axs:
|
||||
ax.axis("off")
|
||||
ax.set_xlim(-0.5, 0.5)
|
||||
ax.set_ylim(-0.5, 0.5)
|
||||
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.)
|
||||
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.ax.set_xticklabels(['Low', 'Medium', 'High'])
|
||||
|
||||
|
||||
fig.savefig("erklaerbaer.pdf")
|
||||
fig.savefig("erklaerbaer.png")
|
||||
# Plotting cuts
|
||||
@ -128,9 +122,13 @@ 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)
|
||||
r.intens = r.intens/max
|
||||
mo.intens = mo.intens/max
|
||||
mi.intens = mi.intens/max
|
||||
plot_all(r, mo, mi)
|
||||
|
||||
plt.show()
|
||||
|
||||
@ -111,7 +111,7 @@ class VO2_Lattice(Lattice):
|
||||
# offset_a_m = -offset_a_m
|
||||
|
||||
offset_a_r, offset_c_r = self._mono_2_rutile(offset_c_m, offset_a_m)
|
||||
# offset_a_r = -offset_a_r
|
||||
offset_a_r = -offset_a_r
|
||||
# offset_c_r = -offset_c_r
|
||||
|
||||
x = offset_a_r + self.X * \
|
||||
@ -153,21 +153,5 @@ class VO2_Lattice(Lattice):
|
||||
|
||||
|
||||
class VO2_New(VO2_Lattice):
|
||||
# def parse_mask(self, mask: np.ndarray) -> np.ndarray:
|
||||
# maske = np.empty((mask.shape[0]*2, mask.shape[1]*2))
|
||||
# maske[0::2, 0::2] = mask
|
||||
# maske[1::2, 0::2] = mask
|
||||
# maske[0::2, 1::2] = mask
|
||||
# maske[1::2, 1::2] = mask
|
||||
# maske[0::4, :] = np.roll(maske[0::4, :], axis=1, shift=1)
|
||||
# maske[1::4, :] = np.roll(maske[1::4, :], axis=1, shift=1)
|
||||
# return maske
|
||||
# def parse_mask(self, mask: np.ndarray) -> np.ndarray:
|
||||
# print(mask.shape)
|
||||
# maske = np.empty((mask.shape[0]*2, mask.shape[1]))
|
||||
# maske[0::2, :] = mask
|
||||
# maske[1::2, :] = mask
|
||||
# print(maske.shape)
|
||||
# return maske
|
||||
def parse_mask(self, mask: np.ndarray):
|
||||
return mask
|
||||
|
||||
@ -24,8 +24,9 @@ logger.addHandler(ch)
|
||||
def random(seed):
|
||||
np.random.seed(seed)
|
||||
LEN = 40
|
||||
lat = VO2_New(LEN, LEN)
|
||||
maske = np.zeros((LEN*2, LEN*2))
|
||||
#lat = VO2_New(LEN, LEN)
|
||||
lat = VO2_Lattice(LEN, LEN)
|
||||
maske = np.zeros((LEN, LEN))
|
||||
ind = np.arange(maske.size)
|
||||
np.random.shuffle(ind)
|
||||
rect = Rect_Evaluator(lat.get_spots())
|
||||
|
||||
Loading…
Reference in New Issue
Block a user