Loading csst_mci_sim/csst_mci_sim.py +6 −6 Original line number Diff line number Diff line Loading @@ -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 Loading Loading @@ -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]) Loading @@ -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^�? Loading Loading @@ -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 Loading Loading
csst_mci_sim/csst_mci_sim.py +6 −6 Original line number Diff line number Diff line Loading @@ -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 Loading Loading @@ -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]) Loading @@ -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^�? Loading Loading @@ -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 Loading