# Generate absorption profiles only wrt airmass at LSST

Sylvie Dagoret-Campagne
affliliation : IJCLAB/IN2P3/CNRS
creation date : 24 January 2020
update : Feb 20 2024 : ProcessSimulation returns wl and atm
Last verification : August 27th 2024

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%load_ext autoreload
%autoreload 2

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import matplotlib.pyplot as plt
%matplotlib inline
import sys
import os
import numpy as np

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import matplotlib
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.cm as cmx

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matplotlib.rcParams.update({'font.size': 15, 'lines.linewidth': 2, 'lines.markersize': 15})
matplotlib.rcParams["axes.labelsize"]="small"
matplotlib.rcParams["axes.linewidth"]=2.0
matplotlib.rcParams["xtick.major.size"]=8
matplotlib.rcParams["ytick.major.size"]=8
matplotlib.rcParams["ytick.minor.size"]=5
matplotlib.rcParams["xtick.labelsize"]="large"
matplotlib.rcParams["ytick.labelsize"]="large"
matplotlib.rcParams["figure.figsize"]=(12,6)
matplotlib.rcParams['axes.titlesize'] = 15
matplotlib.rcParams['axes.titleweight'] = 'bold'
#matplotlib.rcParams['axes.facecolor'] = 'blue'
matplotlib.rcParams['xtick.direction'] = 'out'
matplotlib.rcParams['ytick.direction'] = 'out'
matplotlib.rcParams['lines.markeredgewidth'] = 0.3 # the line width around the marker symbol
matplotlib.rcParams['lines.markersize'] = 10  # markersize, in points
matplotlib.rcParams['grid.alpha'] = 1. # transparency, between 0.0 and 1.0
matplotlib.rcParams['grid.linestyle'] = '-' # simple line
matplotlib.rcParams['grid.linewidth'] = 0.4 # in points

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from libradtranpy import libsimulateVisible

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os.getenv('LIBRADTRANDIR')

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import sys
sys.path

Choose the parameters of the simulation

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AMMIN=1
AMMAX=2.5
NAM = 16
am=np.linspace(AMMIN,AMMAX,NAM)
pressure = 0. # use default value
pwv=4       # turn on or of the pwv
aer=0
ozone=0.    # turn on or of the ozone
cloudext=0

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NBOBS=len(am)

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jet = plt.get_cmap('jet')
cNorm = colors.Normalize(vmin=0, vmax=NBOBS)
scalarMap = cmx.ScalarMappable(norm=cNorm, cmap=jet)
all_colors = scalarMap.to_rgba(np.arange( NBOBS), alpha=1)

Simulation

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all_trans = []
for index in np.arange(NBOBS):

    wl,atm=libsimulateVisible.ProcessSimulation(am[index],pwv,ozone,pressure,aer_num = aer,
                                                      prof_str='us',proc_str='ab',cloudext=cloudext)
    all_trans.append(atm)

Plot

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for index in np.arange(NBOBS):
    plt.semilogy(wl,all_trans[index],'-',color=all_colors[index])
plt.xlim(650,1000)
plt.grid()
plt.title(f"Absorption atmospheric transmission for airmass in {AMMIN}-{AMMAX} range")
plt.xlabel("$\\lambda$ (nm)")
plt.ylabel("transmission")
plt.ylim(0.1,1)
figname="multiabstransmissionvsairmass_log.png"
plt.savefig(figname)

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for index in np.arange(NBOBS):
    plt.plot(wl,all_trans[index],'-',color=all_colors[index])
plt.xlim(300,1200)
plt.grid()
plt.title(f"Absorption atmospheric transmission for airmass in {AMMIN}-{AMMAX} range")
plt.xlabel("$\\lambda$ (nm)")
plt.ylabel("transmission")
plt.ylim(0.,1)
#plt.xlim(300,700)
figname="multiabstransmissionvsairmass_lin.png"
plt.savefig(figname)

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