def sanity_ExampleTransmissionCurves(self):
"""
Checking example for 'TransmissionCurves'
"""
#from __future__ import print_function
from PyAstronomy import pyasl
import numpy as np
import matplotlib.pylab as plt
# Import six for Python 2/3 compatibility
import six
# Get transmission curve object
tcs = pyasl.TransmissionCurves()
# Add passbands from Spitzer IRAC
tcs.addSpitzerIRACPassbands()
print("Available bands: ", tcs.availableBands())
# Wavelength axis
wvl = np.linspace(3000, 10000, 10000)
# Plot transmission curves for Bessel b, v, and r bands
for (b, c) in six.iteritems({"b":"b", "v":"k", "r":"r"}):
tc = tcs.getTransCurve("Bessel " + b)
trans = tc(wvl)
plt.plot(wvl, trans, c+'-', label="Bessel " + b)
# Plot transmission curves for Johnson U, B, and V bands
for (b, c) in six.iteritems({"U":"m", "B":"b", "V":"k"}):
tc = tcs.getTransCurve("Johnson " + b)
trans = tc(wvl)
plt.plot(wvl, trans, c+'--', label="Johnson " + b)
plt.legend()
plt.xlabel("Wavelength [$\AA$]")
plt.ylabel("Transmission")
#plt.show()
# Create Planck spectrum ...
wvl = np.arange(3000., 10000., 1.0)
spec = pyasl.planck(T=5777., lam=wvl*1e-10)
# ... and convolve with Johnson V band
vbs = tcs.convolveWith(wvl, spec, "Johnson V")
plt.plot(wvl, spec, 'b-', label='Input spectrum')
plt.plot(wvl, vbs, 'r--', label='Convolution with Johnson V band')
plt.legend()
#plt.show()
def sanity_ExampleTransmissionCurves(self):
"""
Checking example for 'TransmissionCurves'
"""
#from __future__ import print_function
from PyAstronomy import pyasl
import numpy as np
import matplotlib.pylab as plt
# Import six for Python 2/3 compatibility
import six
# Get transmission curve object
tcs = pyasl.TransmissionCurves()
# Add passbands from Spitzer IRAC
tcs.addSpitzerIRACPassbands()
print("Available bands: ", tcs.availableBands())
# Wavelength axis
wvl = np.linspace(3000, 10000, 10000)
# Plot transmission curves for Bessel b, v, and r bands
for (b, c) in six.iteritems({"b": "b", "v": "k", "r": "r"}):
tc = tcs.getTransCurve("Bessel " + b)
trans = tc(wvl)
plt.plot(wvl, trans, c + '-', label="Bessel " + b)
# Plot transmission curves for Johnson U, B, and V bands
for (b, c) in six.iteritems({"U": "m", "B": "b", "V": "k"}):
tc = tcs.getTransCurve("Johnson " + b)
trans = tc(wvl)
plt.plot(wvl, trans, c + '--', label="Johnson " + b)
plt.legend()
plt.xlabel("Wavelength [$\AA$]")
plt.ylabel("Transmission")
#plt.show()
# Create Planck spectrum ...
wvl = np.arange(3000., 10000., 1.0)
spec = pyasl.planck(T=5777., lam=wvl * 1e-10)
# ... and convolve with Johnson V band
vbs = tcs.convolveWith(wvl, spec, "Johnson V")
plt.plot(wvl, spec, 'b-', label='Input spectrum')
plt.plot(wvl, vbs, 'r--', label='Convolution with Johnson V band')
plt.legend()
def sanity_example(self):
"""
Check the example
"""
from PyAstronomy import pyasl
import numpy as np
import matplotlib.pylab as plt
# Approximate a solar spectrum using a Planck
# function with a temperature of 5778 K between
# 3000 A and 8000 A.
wvl = np.arange(3000., 8000., 1.0)
flux = pyasl.planck(T=5778., lam=wvl*1e-10)
# Deredden the spectrum assuming ebv=0.1
fluxUnred = pyasl.unred(wvl, flux, ebv=0.1, R_V=3.1)
# Plot the result
plt.title("Reddened flux (red) and dereddened flux (blue)")
plt.plot(wvl, flux, 'r--')
plt.plot(wvl, fluxUnred, 'b--')
