def simulate_noise(user_input):
observer = observe.OS_Simulator(user_input)
analyzer = analyze.Spectra_Analyzer(user_input)
sim_plot = plotter.Simulation_Plotter(user_input)
nu, ref_trans, bio_trans = load_npy(user_input["Save"]["Spectra"]["path"],
user_input["Save"]["Spectra"]["name"])
wav = (10000. / nu)
rbin_centers, rbin_mean_I = observer.calculate_bin(wav, ref_trans)
rbin_mean_error_I, rbin_mean_error_bar = observer.add_noise(rbin_mean_I)
bbin_centers, bbin_mean_I = observer.calculate_bin(wav, bio_trans)
bbin_mean_error_I, bbin_mean_error_bar = observer.add_noise(bbin_mean_I)
signal_diff = np.array(bbin_mean_I - rbin_mean_I)
signal_diff2 = np.array(bbin_mean_error_I - rbin_mean_I)
x, SNR = analyzer.spectra_SNR(bbin_centers, signal_diff2)
maxSNR = max(SNR)
print "Feature Max SNR: %s. " % maxSNR,
if maxSNR > 9:
print "Over 9 sigma"
elif maxSNR > 6:
print "Over 6 sigma"
elif maxSNR > 3:
print "Over 3 sigma"
else:
print "Not Detected"
def simulate_noise(user_input):
observer = observe.OS_Simulator(user_input)
sim_plot = plotter.Simulation_Plotter(user_input)
nu, ref_trans = load_npy(user_input["Save"]["Spectra"]["path"],
user_input["Save"]["Spectra"]["name"])
wav = (10000. / nu)
trans = ref_trans
bin_centers, bin_mean_I = observer.calculate_bin(wav, trans)
bin_mean_error_I, bin_mean_error_bar = observer.add_noise(bin_mean_I)
sim_plot.plot_xy(wav, trans, "ref.", Dtype="um")
sim_plot.plot_bin(bin_centers, bin_mean_error_I, bin_mean_error_bar)
sim_plot.plot_bin(bin_centers, bin_mean_I, bin_mean_error_bar * 10**-6)
sim_plot.show_plot()
plt_ref_2 = sim_plot.plot_xy(
s.nu, s.normalized_stellar_spectra * s.Reference_Reflect_Signal,
"Reflection Spectra")
sim_plot.set_legend([plt_ref_1, plt_ref_2])
if utils.to_bool(user_input["Save"]["Plot"]["save"]):
sim_plot.save_plot()
else:
sim_plot.show_plot()
if __name__ == "__main__":
user_input = config.Configuration(
"../../bin_stable/a.Main/user_input_dev.cfg")
user_input["Simulation_Control"]["DB_DIR"] = "Example"
user_input["Simulation_Control"]["DB_Name"] = "cross_sec_Example.db"
user_input["Simulation_Control"]["TP_Profile_Name"] = "isothermal_300K.txt"
user_input["Simulation_Control"]["Mixing_Ratio_Name"] = "H2O_only.txt"
user_input["Save"]["Plot"]["save"] = False
user_input["Save"]["Intermediate_Data"][
"cross_section_savename"] = "Temp_H2O_Cross_Section.npy"
simulation = theory.RS_Simulator(user_input)
observer = observe.OS_Simulator(user_input)
analyzer = analyze.Spectra_Analyzer(user_input)
simulate(simulation, observer, analyzer)
