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Commit 26c6c9b3 authored by Yan Zhaojun's avatar Yan Zhaojun
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test

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csst_mci_sim/csst_mci_sim.py
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...@@ -2425,19 +2425,19 @@ class MCIsimulator(): ...@@ -2425,19 +2425,19 @@ class MCIsimulator():
""" """
# read solar template # read solar template
solar_template = pd.read_csv(information['dir_path']+'MCI_inputData/refs/solar_spec.dat', sep='\s+', solar_template = pd.read_csv(self.information['dir_path']+'MCI_inputData/refs/solar_spec.dat', sep='\s+',
header=None, comment='#') header=None, comment='#')
template_wave = solar_template[0].values template_wave = solar_template[0].values
template_flux = solar_template[1].values template_flux = solar_template[1].values
# read earth shine surface brightness # read earth shine surface brightness
earthshine_curve = pd.read_csv(information['dir_path']+'MCI_inputData/refs/earthshine.dat', earthshine_curve = pd.read_csv(self.information['dir_path']+'MCI_inputData/refs/earthshine.dat',
header=None, comment='#') header=None, comment='#')
angle = earthshine_curve[0].values angle = earthshine_curve[0].values
surface_brightness = earthshine_curve[1].values surface_brightness = earthshine_curve[1].values
# read V-band throughtput # read V-band throughtput
cat_filter_V = pd.read_csv(information['dir_path']+'MCI_inputData/refs/filter_Bessell_V.dat', sep='\s+', cat_filter_V = pd.read_csv(self.information['dir_path']+'MCI_inputData/refs/filter_Bessell_V.dat', sep='\s+',
header=None, comment='#') header=None, comment='#')
filter_wave = cat_filter_V[0].values filter_wave = cat_filter_V[0].values
filter_response = cat_filter_V[1].values filter_response = cat_filter_V[1].values
...@@ -2504,7 +2504,7 @@ class MCIsimulator(): ...@@ -2504,7 +2504,7 @@ class MCIsimulator():
lamda = abs(lb_obj.lon.degree - lb_sun.lon.degree) lamda = abs(lb_obj.lon.degree - lb_sun.lon.degree)
# interpolated zodical surface brightness at 0.5 um # interpolated zodical surface brightness at 0.5 um
zodi = pd.read_csv(information['dir_path']+'MCI_inputData/refs/zodi_map.dat', sep='\s+', header=None, comment='#') zodi = pd.read_csv(self.information['dir_path']+'MCI_inputData/refs/zodi_map.dat', sep='\s+', header=None, comment='#')
beta_angle = np.array([0, 5, 10, 15, 20, 25, 30, 45, 60, 75]) beta_angle = np.array([0, 5, 10, 15, 20, 25, 30, 45, 60, 75])
lamda_angle = np.array([0, 5, 10, 15, 20, 25, 30, 35, 40, 45, lamda_angle = np.array([0, 5, 10, 15, 20, 25, 30, 35, 40, 45,
60, 75, 90, 105, 120, 135, 150, 165, 180]) 60, 75, 90, 105, 120, 135, 150, 165, 180])
...@@ -2513,7 +2513,7 @@ class MCIsimulator(): ...@@ -2513,7 +2513,7 @@ class MCIsimulator():
zodi_obj = f(beta, lamda) # 10^�? W m�? sr�? um�? zodi_obj = f(beta, lamda) # 10^�? W m�? sr�? um�?
# read the zodical spectrum in the ecliptic # read the zodical spectrum in the ecliptic
cat_spec = pd.read_csv(information['dir_path']+'MCI_inputData/refs/solar_spec.dat', sep='\s+', header=None, comment='#') cat_spec = pd.read_csv(self.information['dir_path']+'MCI_inputData/refs/solar_spec.dat', sep='\s+', header=None, comment='#')
wave = cat_spec[0].values # A wave = cat_spec[0].values # A
spec0 = cat_spec[1].values # 10^-8 W m^�? sr^�? μm^�? spec0 = cat_spec[1].values # 10^-8 W m^�? sr^�? μm^�?
zodi_norm = 252 # 10^-8 W m^�? sr^�? μm^�? zodi_norm = 252 # 10^-8 W m^�? sr^�? μm^�?
...@@ -3359,7 +3359,7 @@ class MCIsimulator(): ...@@ -3359,7 +3359,7 @@ class MCIsimulator():
.. Warning:: This method does not work if the input file has exactly one line. .. Warning:: This method does not work if the input file has exactly one line.
""" """
####################################################################### #######################################################################
cosmetics = np.loadtxt(information['dir_path']+'MCI_inputData/data/Cosmetics_g.txt') cosmetics = np.loadtxt(self.information['dir_path']+'MCI_inputData/data/Cosmetics_g.txt')
x = np.round(cosmetics[:, 0]).astype(int) ## row number x = np.round(cosmetics[:, 0]).astype(int) ## row number
y = np.round(cosmetics[:, 1]).astype(int) ## col number y = np.round(cosmetics[:, 1]).astype(int) ## col number
......
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