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### import ####################################################################
import os
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
matplotlib.rcParams['font.size'] = 14
import WrightTools as wt
import WrightData as wd
### define ####################################################################
cmap = wt.artists.colormaps['default']
directory = os.path.dirname(__file__)
### scatter interference in TrEE ###########################################################
if True:
import NISE
import NISE.lib.measure as m
import NISE.experiments.trive as trive
H0 = NISE.hamiltonians.H0
reload(trive)
reload(m)
delay_points = np.linspace(-400, 400, 201)
if False:
# simulate
for delay_state in [False, True]:
trive.exp.set_coord(trive.ss, 100.)
if delay_state:
print 'DELAY STATE'
trive.d2 = trive.S.Axis(1, 'd', name=r'$\mathsf{\tau_{old}}$',
units = 'fs',
pulse_class_name='Gauss_rwa')
d2 = trive.d2
d1 = trive.d1
d2.points = delay_points
d1.points = delay_points
H = H0.Omega()
H.TOs = [1, 2, 3, 4, 5, 6]
NISE.lib.scan.default_path = directory
#trive.exp.timestep = 80.
trive.exp.early_buffer = 1000.
trive.exp.late_buffer = 1000.
scan = trive.exp.scan(d1, d2, H=H)
print scan.timestep
scan.run(autosave=True, mp=False)
simulation_ps = {'old': os.path.join(directory, '2016.05.02 17-48-41 old delay space'),
'new': os.path.join(directory, '2016.05.02 16-33-15 current delay space')}
def measure_and_plot(ax0, ax1, key, scatter):
# get simulation path
simulation_path = simulation_ps[key]
# measure
scan = trive.S.Scan._import(simulation_path)
sig1 = m.Measure(scan, m.Scatter, m.Mono, m.SLD)
m.Mono.slitwidth = 120.
m.Scatter.pulse = scatter # pulse contributions are SCALED by this list: [1, -2, 2']
m.Scatter.chop = False
m.Scatter.ratio = 0.05
sig1.run(save=False)
m.Scatter.chop = True
sig2 = m.Measure(scan, m.Scatter, m.Mono, m.SLD)
sig2.run(save=False)
sig1.pol -= sig2.pol
data = wt.data.from_NISE(sig1, flip_delays=False)
if key == 'old':
data.transpose()
if key == 'new':
data.transpose()
data.axes[0].points *= -1
# plot
xi = data.axes[1].points
yi = data.axes[0].points
zi = data.channels[0].values
zi /= zi.max()
levels = np.linspace(0, 1, 200)
X, Y, Z = wt.artists.pcolor_helper(xi, yi, zi)
ax0.pcolor(X, Y, Z, vmin=0, vmax=1, cmap=cmap)
ax0.set_xlim(xi.min(), xi.max())
ax0.set_ylim(yi.min(), yi.max())
ax0.grid()
wt.artists.diagonal_line(xi, yi, ax=ax0, ls='-')
ax0.axhline(0, c='k')
ax0.axvline(0, c='k')
plt.setp(ax0.get_xticklabels(), visible=False)
plt.setp(ax0.get_yticklabels(), visible=False)
if key == 'old':
ax0.set_xlabel(r'$\mathsf{\tau_{2^\prime1}}$', fontsize=18)
if key == 'new':
ax0.set_xlabel(r'$\mathsf{\tau_{22^\prime}}$', fontsize=18)
# fft
zi = data.channels[0].values
fzi = np.fft.fft2(zi)
fzi = np.fft.fftshift(fzi)
step = data.axes[0].min_max_step()[2]
freqs = np.fft.fftfreq(data.axes[0].points.size, step)
freqs = np.fft.fftshift(freqs)
# plot fft
fzi /= fzi.max()
fzi = np.abs(fzi)
X, Y, Z = wt.artists.pcolor_helper(freqs, freqs, fzi)
ax1.pcolor(X, Y, Z, vmin=0, vmax=0.1, cmap=cmap)
ax1.set_xlim(freqs.min(), freqs.max())
ax1.set_ylim(freqs.min(), freqs.max())
ax1.grid()
plt.setp(ax1.get_xticklabels(), visible=False)
plt.setp(ax1.get_yticklabels(), visible=False)
if key == 'old':
ax1.set_xlabel(r'$\mathsf{f_{2^\prime1}}$', fontsize=18)
if key == 'new':
ax1.set_xlabel(r'$\mathsf{f_{22^\prime}}$', fontsize=18)
if True:
# measure, make figures
# OLD -----------------------------------------------------------------
fig, gs = wt.artists.create_figure(width='double', nrows=2,
cols=[1, 1, 1, 'cbar'], hspace=0.5)
# old w1
ax0 = plt.subplot(gs[0, 0])
ax0.set_ylabel(r'$\mathsf{\tau_{21}}$', fontsize=18)
ax1 = plt.subplot(gs[1, 0])
ax1.set_ylabel(r'$\mathsf{f_{21}}$', fontsize=18)
measure_and_plot(ax0, ax1, 'old', [1, 0, 0])
ax0.set_title(r'$\mathsf{1}$', fontsize=20, y=1.04)
# old w-2
ax0 = plt.subplot(gs[0, 1])
ax1 = plt.subplot(gs[1, 1])
measure_and_plot(ax0, ax1, 'old', [0, 1, 0])
ax0.set_title(r'$\mathsf{-2}$', fontsize=20, y=1.04)
# old w2'
ax0 = plt.subplot(gs[0, 2])
ax1 = plt.subplot(gs[1, 2])
measure_and_plot(ax0, ax1, 'old', [0, 0, 1])
ax0.set_title(r'$\mathsf{2^\prime}$', fontsize=20, y=1.04)
# colorbar
cax = plt.subplot(gs[:, -1])
ticks = np.linspace(0, 1, 11)
matplotlib.colorbar.ColorbarBase(cax, cmap=cmap, ticks=ticks)
cax.set_ylabel('intensity', fontsize=18)
# finish
plt.savefig('scatter interference in TrEE old.png', dpi=300, transparent=True, pad_inches=1)
plt.close(fig)
# NEW -----------------------------------------------------------------
fig, gs = wt.artists.create_figure(width='double', nrows=2,
cols=[1, 1, 1, 'cbar'], hspace=0.5)
# new w1
ax0 = plt.subplot(gs[0, 0])
ax0.set_ylabel(r'$\mathsf{\tau_{21}}$', fontsize=18)
ax1 = plt.subplot(gs[1, 0])
ax1.set_ylabel(r'$\mathsf{f_{21}}$', fontsize=18)
measure_and_plot(ax0, ax1, 'new', [1, 0, 0])
ax0.set_title(r'$\mathsf{1}$', fontsize=20, y=1.04)
# new w-2
ax0 = plt.subplot(gs[0, 1])
ax1 = plt.subplot(gs[1, 1])
measure_and_plot(ax0, ax1, 'new', [0, 1, 0])
ax0.set_title(r'$\mathsf{-2}$', fontsize=20, y=1.04)
# new w2'
ax0 = plt.subplot(gs[0, 2])
ax1 = plt.subplot(gs[1, 2])
measure_and_plot(ax0, ax1, 'new', [0, 0, 1])
ax0.set_title(r'$\mathsf{2^\prime}$', fontsize=20, y=1.04)
# colorbar
cax = plt.subplot(gs[:, -1])
ticks = np.linspace(0, 1, 11)
matplotlib.colorbar.ColorbarBase(cax, cmap=cmap, ticks=ticks)
cax.set_ylabel('intensity', fontsize=18)
# finish
plt.savefig('scatter interference in TrEE current.png', dpi=300, transparent=True, pad_inches=1)
plt.close(fig)
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