sr.saveFig('NIRPathradiance.png')
print(
'Note that multiple scatter contributes significantly to the total path radiance'
)
#repeat the same calculation, but this time do in wavelength domain
colSelect = ['FREQ', 'PTH_THRML', 'SOL_SCAT', 'SING_SCAT', 'TOTAL_RAD']
skyrad = loadtape7("data/NIRscat.fl7", colSelect)
sr = ryplot.Plotter(1,
4,
1,
"Path Radiance in NIR, Path to Space from 3 km",
figsize=(12, 8))
# plot the components separately
for i in [1, 2, 3, 4]:
wl, Lpath = ryutils.convertSpectralDensity(skyrad[:, 0],
skyrad[:, i], 'nl')
Lpath *= 1.0e4
sr.plot(
i,
wl,
Lpath,
"",
"Wavelength [$\mu$m]",
"L [W/(m$^2$.sr.$\mu$m)]",
label=[colSelect[i][:]],
legendAlpha=0.5, #pltaxis=[0.4,1, 0, 1],
maxNX=10,
maxNY=4,
powerLimits=[-4, 4, -5, 5])
totinband = -np.trapz(Lpath.reshape(-1, 1), wl, axis=0)[0]
print('{0} integral is {1:.6e} [W/(m^2.sr)]'.format(
# convert from /cm^2 to /m2 and integrate using the wavenumber vector
# normally you would multiply with a sensor spectral response before integration
# this calculation is over the whole band, equally weighted.
totinband = np.trapz(Lpath.reshape(-1, 1), skyrad[:, 0], axis=0)[0]
print("{0} sum is {1} [W/(m^2.sr)]".format(colSelect[i][:], totinband))
sr.saveFig("NIRPathradiance.png")
print("Note that multiple scatter contributes significantly to the total path radiance")
# repeat the same calculation, but this time do in wavelength domain
colSelect = ["FREQ", "PTH_THRML", "SOL_SCAT", "SING_SCAT", "TOTAL_RAD"]
skyrad = loadtape7("data/NIRscat.fl7", colSelect)
sr = ryplot.Plotter(1, 4, 1, "Path Radiance in NIR, Path to Space from 3 km", figsize=(12, 8))
# plot the components separately
for i in [1, 2, 3, 4]:
wl, Lpath = ryutils.convertSpectralDensity(skyrad[:, 0], skyrad[:, i], "nl")
Lpath *= 1.0e4
sr.plot(
i,
wl,
Lpath,
"",
"Wavelength [$\mu$m]",
"L [W/(m$^2$.sr.$\mu$m)]",
label=[colSelect[i][:]],
legendAlpha=0.5, # pltaxis=[0.4,1, 0, 1],
maxNX=10,
maxNY=4,
powerLimits=[-4, 4, -5, 5],
)
totinband = -np.trapz(Lpath.reshape(-1, 1), wl, axis=0)[0]
# 5 cm-1 intervals, but we want to work in wavelength with 2.5 cm-1
waven = numpy.arange(2000.0, 3300.0, 2.5).reshape(-1, 1)
wavel = ryutils.convertSpectralDomain(waven, type='nl')
#remove comment lines, and scale path radiance from W/cm2.sr.cm-1 to W/m2.sr.cm-1
tauA = ryfiles.loadColumnTextFile('../data/path1kmflamesensor.txt', [1],
abscissaOut=waven,
comment='%')
lpathwn = ryfiles.loadColumnTextFile('../data/pathspaceflamesensor.txt', [9],
abscissaOut=waven,
ordinateScale=1.0e4,
comment='%')
#convert path radiance spectral density from 1/cm^-1 to 1/um, at the sample
#wavenumber points
(dum, lpathwl) = ryutils.convertSpectralDensity(waven, lpathwn, type='nl')
#load the detector file in wavelengths, and interpolate on required values
detR = ryfiles.loadColumnTextFile('../data/detectorflamesensor.txt', [1],
abscissaOut=wavel,
comment='%')
#construct the flame emissivity from parameters
emis = ryutils.sfilter(wavel,
center=4.33,
width=0.45,
exponent=6,
taupass=0.8,
taustop=0.1)
#construct the sensor filter from parameters
wavenumRef = numpy.asarray([1.0e5, 1.0e4, 1.0e3, 1.0e2]) # in units of cm-1
frequenRef = numpy.asarray([ 2.99792458e+15, 2.99792458e+14, 2.99792458e+13, 2.99792458e+12])
print('Input spectral vectors:')
print('{0} micrometers'.format(wavelenRef))
print('{0} wavenumber'.format(wavenumRef))
print('{0} frequency'.format(frequenRef))
# now test conversion of spectral density quantities
#create planck spectral densities at the wavelength interval
emittancewRef = planck(wavelenRef, 1000,'el')
emittancefRef = planck(frequenRef, 1000,'ef')
emittancenRef = planck(wavenumRef, 1000,'en')
emittance = emittancewRef.copy()
#convert to frequency density
print('all following eight statements should print (close to) unity vectors:')
(freq, emittance) = ryutils.convertSpectralDensity(wavelenRef, emittance, 'lf')
print('emittance converted: wf against calculation')
print(emittancefRef/emittance)
#convert to wavenumber density
(waven, emittance) = ryutils.convertSpectralDensity(freq, emittance, 'fn')
print('emittance converted: wf->fn against calculation')
print(emittancenRef/emittance)
#convert to wavelength density
(wavel, emittance) = ryutils.convertSpectralDensity(waven, emittance, 'nl')
#now repeat in opposite sense
print('emittance converted: wf->fn->nw against original')
print(emittancewRef/emittance)
print('spectral variable converted: wf->fn->nw against original')
print(wavelenRef/wavel)
#convert to wavenumber density
emittance = emittancewRef.copy()
#load atmospheric transmittance from file created in Modtran in wavenumbers
# the transmittance is specified in the wavenumber domain with
# 5 cm-1 intervals, but we want to work in wavelength with 2.5 cm-1
waven = numpy.arange(2000.0, 3300.0, 2.5).reshape(-1, 1)
wavel= ryutils.convertSpectralDomain(waven, type='nl')
#remove comment lines, and scale path radiance from W/cm2.sr.cm-1 to W/m2.sr.cm-1
tauA = ryfiles.loadColumnTextFile('../data/path1kmflamesensor.txt',
[1],abscissaOut=waven, comment='%')
lpathwn = ryfiles.loadColumnTextFile('../data/pathspaceflamesensor.txt',
[9],abscissaOut=waven, ordinateScale=1.0e4, comment='%')
#convert path radiance spectral density from 1/cm^-1 to 1/um, at the sample
#wavenumber points
(dum, lpathwl) = ryutils.convertSpectralDensity(waven, lpathwn, type='nl')
#load the detector file in wavelengths, and interpolate on required values
detR = ryfiles.loadColumnTextFile('../data/detectorflamesensor.txt',
[1],abscissaOut=wavel, comment='%')
#construct the flame emissivity from parameters
emis = ryutils.sfilter(wavel,center=4.33, width=0.45, exponent=6, taupass=0.8,
taustop=0.1 )
#construct the sensor filter from parameters
sfilter = ryutils.sfilter(wavel,center=4.3, width=0.8, exponent=12,
taupass=0.9, taustop=0.0001)
#plot the data
plot1= ryplot.Plotter(1, 2, 2,'Flame sensor',figsize=(24,16))