From ae6890544df4d48e0b029ca86e576e934a3d1035 Mon Sep 17 00:00:00 2001
From: Darien Morrow <darienmorrow@gmail.com>
Date: Mon, 9 Apr 2018 19:59:35 -0500
Subject: opa interferometry

---
 opa_phase/darien_playing.py | 110 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 110 insertions(+)
 create mode 100644 opa_phase/darien_playing.py

(limited to 'opa_phase/darien_playing.py')

diff --git a/opa_phase/darien_playing.py b/opa_phase/darien_playing.py
new file mode 100644
index 0000000..cc8ce39
--- /dev/null
+++ b/opa_phase/darien_playing.py
@@ -0,0 +1,110 @@
+"""OPA interferometry"""
+
+
+# --- import --------------------------------------------------------------------------------------
+
+
+import numpy as np
+
+import WrightTools as wt 
+
+import matplotlib
+import matplotlib.pyplot as plt
+
+import os
+
+
+# --- define --------------------------------------------------------------------------------------
+
+
+folderpath = os.getcwd()
+datafolder = os.path.join(folderpath, '2014.04.10 data')
+
+
+# --- get data ------------------------------------------------------------------------------------
+
+
+p = 'OPA_interferometry.wt5'
+if False:
+    col = wt.Collection(name='root')
+    # autointerference
+    filepath = os.path.join(datafolder, 'auto interferometry (1) 0 ms wait [1x201] Delay.dat')
+    ignore=['w3', 'dref', 'm0', 'm1', 'm2', 'm3', 'm4', 'm5', 'm6']
+    d = wt.data.from_COLORS(filepath, name='auto', ignore=ignore, parent=col)    
+    # crossinterference
+    filepath = os.path.join(datafolder, 'cross interferometry (2) 0 ms wait [1x201] Delay.dat')
+    ignore=['w3', 'dref', 'm0', 'm1', 'm2', 'm3', 'm4', 'm5', 'm6']
+    d = wt.data.from_COLORS(filepath, name='cross', ignore=ignore, parent=col)
+    # interference over time
+    filepath = os.path.join(datafolder, 'high res (1) 1 shots 100 ms wait [1000] Capture.dat')
+    arr = np.genfromtxt(filepath).T
+    xi = np.arange(1000)*.1 # convert to seconds
+    yi = arr[8][:256]
+    zi = arr[21]
+    zi.shape = (-1, 256)
+    d = wt.Data(name='time', parent=col)
+    d.create_variable('time', values=xi[:, None])
+    d.create_variable('wa', values=yi[None, :], units='nm', label='a')
+    d.create_channel('array', values=zi)
+    d.transform('time', 'wa')
+    col.save(p, overwrite=True)
+   
+col = wt.open(p)
+    
+    
+# --- auto and cross correlation figure -----------------------------------------------------------
+
+
+if True:
+    def plotter(ax, d, label):
+       ax.pcolor(d, channel='mc') # pcolor is kinda distracting
+       ax.set_ylim(1200,1400)
+       ax.set_xlabel('delay (fs)')
+       ax.grid()
+       wt.artists.corner_text(label)
+       
+    
+    fig, gs = wt.artists.create_figure(width='double', cols=[1,1,'cbar'])
+    # auto
+    ax = plt.subplot(gs[0,0])
+    plotter(ax, col.auto, 'auto-interference')
+    # cross
+    ax = plt.subplot(gs[0,1])
+    plotter(ax, col.cross, 'cross-interference')
+    # pretty up
+    wt.artists.set_fig_labels(ylabel=col.auto.wa.label)
+    # colorbar
+    cax = plt.subplot(gs[0,-1])
+    ticks = np.linspace(0,1,11)
+    label = 'norm array signal'
+    wt.artists.plot_colorbar(cax, ticks=ticks, label=label)
+    # finish
+    p = 'auto_cross_interference.png'
+    wt.artists.savefig(p)
+
+
+# --- over time -----------------------------------------------------------------------------------
+
+
+if True:
+    def plotter(ax, d):
+       ax.pcolor(d) # pcolor is kinda distracting
+       ax.set_ylim(1250,1350)
+       ax.set_xlabel('lab time (s)')
+       ax.set_ylabel(col.auto.wa.label)
+       ax.grid()
+       
+    #d.array.clip(.3)
+    fig, gs = wt.artists.create_figure(width='double', cols=[1, 'cbar'], default_aspect=.5)
+    # overtime
+    ax = plt.subplot(gs[0,0])
+    plotter(ax, col.time)
+    ax.hlines(1300, 0, 99.9, color='grey', linewidth=5, alpha=.7, zorder=10)
+    # colorbar
+    cax = plt.subplot(gs[0,-1])
+    ticks = np.linspace(0,1,11)
+    label = 'norm array signal'
+    wt.artists.plot_colorbar(cax, ticks=ticks, label=label)
+    # finish
+    p = 'time_interference.png'
+    wt.artists.savefig(p)
-- 
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