test

csst_mci_sim/csst_mci_sim.py

@@ -2425,19 +2425,19 @@ class MCIsimulator():
         """
     
         # 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='#')
         template_wave = solar_template[0].values
         template_flux = solar_template[1].values
     
         # 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='#')
         angle = earthshine_curve[0].values
         surface_brightness = earthshine_curve[1].values
     
         # 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='#')
         filter_wave = cat_filter_V[0].values
         filter_response = cat_filter_V[1].values
@@ -2504,7 +2504,7 @@ class MCIsimulator():
         lamda = abs(lb_obj.lon.degree - lb_sun.lon.degree)
     
         # 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])
         lamda_angle = np.array([0, 5, 10, 15, 20, 25, 30, 35, 40, 45,
                               60, 75, 90, 105, 120, 135, 150, 165, 180])
@@ -2513,7 +2513,7 @@ class MCIsimulator():
         zodi_obj = f(beta, lamda)       # 10^�? W m�? sr�? um�?
     
         # 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
         spec0 = cat_spec[1].values      # 10^-8 W m^�? sr^�? μm^�?
         zodi_norm = 252                 # 10^-8 W m^�? sr^�? μm^�?
@@ -3359,7 +3359,7 @@ class MCIsimulator():
         .. 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
         y = np.round(cosmetics[:, 1]).astype(int) ## col number