aboutsummaryrefslogtreecommitdiff
path: root/opa/OPA ranges.py
diff options
context:
space:
mode:
Diffstat (limited to 'opa/OPA ranges.py')
-rw-r--r--opa/OPA ranges.py112
1 files changed, 112 insertions, 0 deletions
diff --git a/opa/OPA ranges.py b/opa/OPA ranges.py
new file mode 100644
index 0000000..305b078
--- /dev/null
+++ b/opa/OPA ranges.py
@@ -0,0 +1,112 @@
+""" OPA power and ranges """
+
+# --- import --------------------------------------------------------------------------------------
+
+
+import os
+import collections
+
+import numpy as np
+
+import matplotlib
+import matplotlib.pyplot as plt
+
+import WrightTools as wt
+wt.artists.apply_rcparams('publication')
+
+
+# --- define --------------------------------------------------------------------------------------
+
+
+p = 'Energy_10742.csv'
+idler = np.genfromtxt(p, usecols=(0,1), delimiter=',', skip_header=2, unpack=True)
+signal = np.genfromtxt(p, usecols=(2,3), delimiter=',', skip_header=2, unpack=True)
+shi = np.genfromtxt(p, usecols=(4,5), delimiter=',', skip_header=2, unpack=True)
+shs = np.genfromtxt(p, usecols=(6,7), delimiter=',', skip_header=2, unpack=True)
+sfi = np.genfromtxt(p, usecols=(8,9), delimiter=',', skip_header=2, unpack=True)
+sfs = np.genfromtxt(p, usecols=(10,11), delimiter=',', skip_header=2, unpack=True)
+
+names = ['idler', 'signal', 'SHI', 'SHS', 'SFI', 'SFS']
+wavelengths = [idler[0], signal[0], shi[0], shs[0], sfi[0], sfs[0]]
+wavelengths_ev = [wt.units.converter(w, 'nm', 'eV') for w in wavelengths]
+energys = [idler[1], signal[1], shi[1], shs[1], sfi[1], sfs[1]]
+colors = ['C1', 'C2', 'C3', 'C4', 'C5', 'C6']
+
+
+# --- workspace -----------------------------------------------------------------------------------
+
+
+if True:
+ # start
+ # cbar is shady way to fit legend in
+ fig, gs = wt.artists.create_figure(width='single', nrows=1, cols=[1, 'cbar'], default_aspect=1)
+ ax = plt.subplot(gs[0,0])
+ ax.semilogy( wavelengths_ev[0], energys[0], alpha=0)
+ for n,x,y,c in zip(names, wavelengths_ev, energys, colors):
+ ax.scatter(x,y, color=c, label=n, marker='o')
+ # pretty up
+ ax.grid(which='both')
+ ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), frameon=False)
+ ax.set_xlabel('OPA output (eV)', fontsize=18)
+ ax.set_ylabel(u'pulse energy ($\mu$J)')
+ # finish
+ wt.artists.savefig('OPA_powers.png')
+
+
+# --- old workspace -------------------------------------------------------------------------------
+
+
+if True:
+ # prepare figure
+ fig, gs = wt.artists.create_figure(width='single', nrows=1, cols=[1], default_aspect=0.3)
+
+ # ranges
+ ax = plt.subplot(gs[0, 0])
+ cs = ['C0', 'C1', 'C2', 'C3', 'C4', 'C5', 'C6', 'C7', 'C8', 'C9']
+ ranges = collections.OrderedDict()
+ ranges['DFG'] = ([11000, 2600], 1)
+ ranges['Idl'] = ([2600, 1600], 0.5)
+ ranges['Sig'] = ([1600, 1150], 0)
+ ranges['SHI'] = ([800, 1200], 0.5)
+ ranges['SHS'] = ([800, 580], 0)
+ ranges['SFI'] = ([600, 533], 0.5)
+ ranges['SFS'] = ([540, 480], 0)
+ ranges['4HI'] = ([590, 400], 1)
+ ranges['4HS'] = ([400, 290], 0)
+ height = 0
+ for i, item in enumerate(ranges.items()):
+ name, value = item
+ limits, height = value
+ limits = [wt.units.converter(n, 'nm', 'eV') for n in limits]
+ ax.plot(limits, [height, height], lw=25, label=name, c=cs[i], solid_capstyle='butt')
+ ax.text(np.mean(limits), height, name, va='center', ha='center', fontsize=11)
+
+ ranges = collections.OrderedDict()
+ ranges['UVB'] = ([315, 280], wt.artists._colors.nm_to_rgb(400))
+ ranges['UVA'] = ([400, 315], wt.artists._colors.nm_to_rgb(450))
+ ranges['visible'] = ([700, 400], wt.artists._colors.nm_to_rgb(500))
+ ranges['NIR'] = ([2500, 700], wt.artists._colors.nm_to_rgb(600))
+ ranges['IR'] = ([15000, 2500], wt.artists._colors.nm_to_rgb(700))
+ for i, item in enumerate(ranges.items()):
+ name, value = item
+ limits, c = value
+ limits = [wt.units.converter(n, 'nm', 'eV') for n in limits]
+ ax.axvline(limits[0], c='k', lw=1, zorder=1)
+ ax.axvline(limits[1], c='k', lw=1, zorder=1)
+ ax.text(np.mean(limits), 1.25, name, va='bottom', ha='center', fontsize=12)
+ for limit in limits:
+ nm = wt.units.converter(limit, 'eV', 'nm')
+ ax.text(limit, 1.6, '%i'%nm, fontsize=14, va='bottom', ha='center', rotation=90)
+
+ width = limits[1]-limits[0]
+ patch = matplotlib.patches.Rectangle((limits[0], -1), width, 10, facecolor=c, alpha=0.1)
+ ax.add_patch(patch)
+
+ ax.set_yticks([], [])
+ ax.set_xlim(0, 4.5)
+ ax.set_ylim(-0.25, 1.5)
+ ax.set_xlabel('OPA output (eV)', fontsize=18)
+ ax.grid(ls=':')
+ ax.set_title('OPA output (nm)', fontsize=18, y=1.3)
+ # finish
+ wt.artists.savefig('OPA_ranges.png')