Loading csst_mci_sim/csst_mci_sim.py +48 −48 Original line number Diff line number Diff line Loading @@ -2290,69 +2290,69 @@ class MCIsimulator(): # ######################################################################################################################################################################################################################################################## # def zodiacal(self, ra, dec, time): # """ # For given RA, DEC and TIME, return the interpolated zodical spectrum in Leinert-1998. def zodiacal(self, ra, dec, time): """ For given RA, DEC and TIME, return the interpolated zodical spectrum in Leinert-1998. # :param ra: RA in unit of degree, ICRS frame # :param dec: DEC in unit of degree, ICRS frame # :param time: the specified string that in ISO format i.e., yyyy-mm-dd. # :return: # wave_A: wavelength of the zodical spectrum # spec_mjy: flux of the zodical spectrum, in unit of MJy/sr # spec_erg: flux of the zodical spectrum, in unit of erg/s/cm^2/A/sr :param ra: RA in unit of degree, ICRS frame :param dec: DEC in unit of degree, ICRS frame :param time: the specified string that in ISO format i.e., yyyy-mm-dd. :return: wave_A: wavelength of the zodical spectrum spec_mjy: flux of the zodical spectrum, in unit of MJy/sr spec_erg: flux of the zodical spectrum, in unit of erg/s/cm^2/A/sr # """ """ # # get solar position # dt = datetime.fromisoformat(time) # ###jd = julian.to_jd(dt, fmt='jd') # get solar position dt = datetime.fromisoformat(time) ###jd = julian.to_jd(dt, fmt='jd') # jd = time2jd(dt) # t = Time(jd, format='jd', scale='utc') jd = time2jd(dt) t = Time(jd, format='jd', scale='utc') # astro_sun = get_sun(t) # ra_sun, dec_sun = astro_sun.gcrs.ra.deg, astro_sun.gcrs.dec.deg astro_sun = get_sun(t) ra_sun, dec_sun = astro_sun.gcrs.ra.deg, astro_sun.gcrs.dec.deg # radec_sun = SkyCoord(ra=ra_sun*u.degree, dec=dec_sun*u.degree, frame='gcrs') # lb_sun = radec_sun.transform_to('geocentrictrueecliptic') radec_sun = SkyCoord(ra=ra_sun*u.degree, dec=dec_sun*u.degree, frame='gcrs') lb_sun = radec_sun.transform_to('geocentrictrueecliptic') # # get offsets between the target and sun. # radec_obj = SkyCoord(ra=ra*u.degree, dec=dec*u.degree, frame='icrs') # lb_obj = radec_obj.transform_to('geocentrictrueecliptic') # get offsets between the target and sun. radec_obj = SkyCoord(ra=ra*u.degree, dec=dec*u.degree, frame='icrs') lb_obj = radec_obj.transform_to('geocentrictrueecliptic') # beta = abs(lb_obj.lat.degree) # lamda = abs(lb_obj.lon.degree - lb_sun.lon.degree) beta = abs(lb_obj.lat.degree) lamda = abs(lb_obj.lon.degree - lb_sun.lon.degree) # # interpolated zodical surface brightness at 0.5 um # 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]) # xx, yy = np.meshgrid(beta_angle, lamda_angle) # f = interpolate.interp2d(xx, yy, zodi, kind='linear') # zodi_obj = f(beta, lamda) # 10^�? W m�? sr�? um�? # interpolated zodical surface brightness at 0.5 um 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]) xx, yy = np.meshgrid(beta_angle, lamda_angle) f = interpolate.interp2d(xx, yy, zodi, kind='linear') zodi_obj = f(beta, lamda) # 10^�? W m�? sr�? um�? # # read the zodical spectrum in the ecliptic # 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^�? # read the zodical spectrum in the ecliptic 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^�? # spec = spec0 * (zodi_obj / zodi_norm) * 1e-8 # W m^�? sr^�? μm^�? spec = spec0 * (zodi_obj / zodi_norm) * 1e-8 # W m^�? sr^�? μm^�? # # convert to the commonly used unit of MJy/sr, erg/s/cm^2/A/sr # wave_A = wave # A # #spec_mjy = spec * 0.1 * wave_A**2 / 3e18 * 1e23 * 1e-6 # MJy/sr # spec_erg = spec * 0.1 # erg/s/cm^2/A/sr # spec_erg2 = spec_erg / 4.25452e10 # erg/s/cm^2/A/arcsec^2 # convert to the commonly used unit of MJy/sr, erg/s/cm^2/A/sr wave_A = wave # A #spec_mjy = spec * 0.1 * wave_A**2 / 3e18 * 1e23 * 1e-6 # MJy/sr spec_erg = spec * 0.1 # erg/s/cm^2/A/sr spec_erg2 = spec_erg / 4.25452e10 # erg/s/cm^2/A/arcsec^2 # self.zodiacal_wave=wave_A # in A self.zodiacal_wave=wave_A # in A # self.zodiacal_flux=spec_erg2 self.zodiacal_flux=spec_erg2 # return wave_A, spec_erg2 ################################################################################### return wave_A, spec_erg2 ################################################################################## ########################################################################## def cal_Lensing_galaxy_img(self): Loading Loading
csst_mci_sim/csst_mci_sim.py +48 −48 Original line number Diff line number Diff line Loading @@ -2290,69 +2290,69 @@ class MCIsimulator(): # ######################################################################################################################################################################################################################################################## # def zodiacal(self, ra, dec, time): # """ # For given RA, DEC and TIME, return the interpolated zodical spectrum in Leinert-1998. def zodiacal(self, ra, dec, time): """ For given RA, DEC and TIME, return the interpolated zodical spectrum in Leinert-1998. # :param ra: RA in unit of degree, ICRS frame # :param dec: DEC in unit of degree, ICRS frame # :param time: the specified string that in ISO format i.e., yyyy-mm-dd. # :return: # wave_A: wavelength of the zodical spectrum # spec_mjy: flux of the zodical spectrum, in unit of MJy/sr # spec_erg: flux of the zodical spectrum, in unit of erg/s/cm^2/A/sr :param ra: RA in unit of degree, ICRS frame :param dec: DEC in unit of degree, ICRS frame :param time: the specified string that in ISO format i.e., yyyy-mm-dd. :return: wave_A: wavelength of the zodical spectrum spec_mjy: flux of the zodical spectrum, in unit of MJy/sr spec_erg: flux of the zodical spectrum, in unit of erg/s/cm^2/A/sr # """ """ # # get solar position # dt = datetime.fromisoformat(time) # ###jd = julian.to_jd(dt, fmt='jd') # get solar position dt = datetime.fromisoformat(time) ###jd = julian.to_jd(dt, fmt='jd') # jd = time2jd(dt) # t = Time(jd, format='jd', scale='utc') jd = time2jd(dt) t = Time(jd, format='jd', scale='utc') # astro_sun = get_sun(t) # ra_sun, dec_sun = astro_sun.gcrs.ra.deg, astro_sun.gcrs.dec.deg astro_sun = get_sun(t) ra_sun, dec_sun = astro_sun.gcrs.ra.deg, astro_sun.gcrs.dec.deg # radec_sun = SkyCoord(ra=ra_sun*u.degree, dec=dec_sun*u.degree, frame='gcrs') # lb_sun = radec_sun.transform_to('geocentrictrueecliptic') radec_sun = SkyCoord(ra=ra_sun*u.degree, dec=dec_sun*u.degree, frame='gcrs') lb_sun = radec_sun.transform_to('geocentrictrueecliptic') # # get offsets between the target and sun. # radec_obj = SkyCoord(ra=ra*u.degree, dec=dec*u.degree, frame='icrs') # lb_obj = radec_obj.transform_to('geocentrictrueecliptic') # get offsets between the target and sun. radec_obj = SkyCoord(ra=ra*u.degree, dec=dec*u.degree, frame='icrs') lb_obj = radec_obj.transform_to('geocentrictrueecliptic') # beta = abs(lb_obj.lat.degree) # lamda = abs(lb_obj.lon.degree - lb_sun.lon.degree) beta = abs(lb_obj.lat.degree) lamda = abs(lb_obj.lon.degree - lb_sun.lon.degree) # # interpolated zodical surface brightness at 0.5 um # 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]) # xx, yy = np.meshgrid(beta_angle, lamda_angle) # f = interpolate.interp2d(xx, yy, zodi, kind='linear') # zodi_obj = f(beta, lamda) # 10^�? W m�? sr�? um�? # interpolated zodical surface brightness at 0.5 um 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]) xx, yy = np.meshgrid(beta_angle, lamda_angle) f = interpolate.interp2d(xx, yy, zodi, kind='linear') zodi_obj = f(beta, lamda) # 10^�? W m�? sr�? um�? # # read the zodical spectrum in the ecliptic # 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^�? # read the zodical spectrum in the ecliptic 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^�? # spec = spec0 * (zodi_obj / zodi_norm) * 1e-8 # W m^�? sr^�? μm^�? spec = spec0 * (zodi_obj / zodi_norm) * 1e-8 # W m^�? sr^�? μm^�? # # convert to the commonly used unit of MJy/sr, erg/s/cm^2/A/sr # wave_A = wave # A # #spec_mjy = spec * 0.1 * wave_A**2 / 3e18 * 1e23 * 1e-6 # MJy/sr # spec_erg = spec * 0.1 # erg/s/cm^2/A/sr # spec_erg2 = spec_erg / 4.25452e10 # erg/s/cm^2/A/arcsec^2 # convert to the commonly used unit of MJy/sr, erg/s/cm^2/A/sr wave_A = wave # A #spec_mjy = spec * 0.1 * wave_A**2 / 3e18 * 1e23 * 1e-6 # MJy/sr spec_erg = spec * 0.1 # erg/s/cm^2/A/sr spec_erg2 = spec_erg / 4.25452e10 # erg/s/cm^2/A/arcsec^2 # self.zodiacal_wave=wave_A # in A self.zodiacal_wave=wave_A # in A # self.zodiacal_flux=spec_erg2 self.zodiacal_flux=spec_erg2 # return wave_A, spec_erg2 ################################################################################### return wave_A, spec_erg2 ################################################################################## ########################################################################## def cal_Lensing_galaxy_img(self): Loading
