Updated documentation, descriptions for v1.0 release.

scripts/differential_dispersion.py

@@ -0,0 +1,70 @@
+#!/usr/bin/env Python3
+import numpy as np
+import matplotlib.pyplot as plt
+import AstroAtmosphere as atm
+from ADC import * 
+
+'''
+	@author: 		Joost van den Born
+	@Contact:		born@astron.nl
+	@Description: 	Caclulates the differential dispersion between the ADC and 
+					the atmosphere following the ciddor and cassini dispersion
+					model.
+					This script generates figure 4 from the paper.
+'''
+
+# Initializing ADC object and defining the filter bands
+adc = ADC()
+bandName = ['I-band', 'J-band', 'H-band', 'K-band']
+bandList = [(0.8, 0.934), (1.15, 1.345), (1.49, 1.78), (1.97, 2.32)]
+
+# Some empty lists for later use
+wavelengthList = []
+atDispersionList = []
+adcDispersionList = []
+
+for i in range(len(bandList)):
+	# We want to find the dispersion of the atmosphere and 
+	# and of the ADC, at z=30 deg.
+	lMin 			= bandList[i][0]
+	lMax 			= bandList[i][1]
+	z 				= 30 # degrees
+	lRange 			= np.linspace(lMin, lMax, 100)
+	wavelengthList.append(lRange)
+
+	# Set ADC position optimized for H-band, z=30 deg.
+	atDispersion 	= atm.quick_dispersion(lMin, lMax, z, conditions='CERRO_ARMAZONES') * 3.6e6
+	adcOptimumAngle = adc.optimize(atDispersion, lMin, lMax) 
+	adc.setOrientation(adcOptimumAngle)
+
+	# Now iterate over the band to see how the differential dispersion changes
+	atDispersionValues  = []
+	adcDispersionValues = []
+	for l in lRange:
+		atDispersionValues.append(atm.quick_dispersion(np.min(lRange), l, z, conditions='CERRO_ARMAZONES')* 3.6e6 )
+		adcDispersionValues.append(adc.calculateDispersion(np.min(lRange),l)[1])
+	atDispersionList.append(atDispersionValues)
+	adcDispersionList.append(adcDispersionValues)
+
+# Calculating the differential dispersion
+atDispersionList 	= np.asarray(atDispersionList)
+adcDispersionList 	= np.asarray(adcDispersionList)	
+deltaDispersion 	= atDispersionList - adcDispersionList
+
+
+
+# Plot the results
+plt.rc('font', family='serif')
+plt.rc('axes', labelsize='large')
+fig = plt.figure(figsize=(9,6))
+
+ax = fig.add_subplot(111)
+linestyleList = [':', '-.', '--', '-']
+for i in range(len(bandList)):
+	ax.plot(wavelengthList[i], deltaDispersion[i], label=bandName[i], linestyle=linestyleList[i], linewidth=2, color='k')
+ax.set_ylabel('Differential $\Delta$R (mas)', fontsize=18)
+ax.set_xlabel('$\lambda$ ($\mu$m)', fontsize=18)
+ax.grid(True, alpha=0.3)
+ax.legend(fontsize=16, loc='lower right')
+ax.tick_params(axis ='both', direction='in', labelsize=16) 
+plt.show()