Loading csst_mci_sim/csst_mci_sim.py +51 −60 Original line number Diff line number Diff line Loading @@ -243,71 +243,71 @@ def ill2flux(E,path): ############################################################## ########################################################## def zodiacal(ra, dec, time): """ For given RA, DEC and TIME, return the interpolated zodical spectrum in Leinert-1998. # def zodiacal(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') jd = time2jd(dt) t = Time(jd, format='jd', scale='utc') # # get solar position # dt = datetime.fromisoformat(time) # #jd = julian.to_jd(dt, fmt='jd') # 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) #xx, yy = np.meshgrid(beta_angle, lamda_angle,indexing='ij', sparse=True) # # 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) # #xx, yy = np.meshgrid(beta_angle, lamda_angle,indexing='ij', sparse=True) f = interpolate.interp2d(xx, yy, zodi, kind='linear') #f = interpolate.RegularGridInterpolator((xx, yy), zodi, method='linear') # f = interpolate.interp2d(xx, yy, zodi, kind='linear') # #f = interpolate.RegularGridInterpolator((xx, yy), zodi, method='linear') zodi_obj = f(beta, lamda) # # zodi_obj = f(beta, lamda) # # 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 # zodi_norm = 252 # # # 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 # # zodi_norm = 252 # spec = spec0 * (zodi_obj / zodi_norm) * 1e-8 # # spec = spec0 * (zodi_obj / zodi_norm) * 1e-8 # # 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 ################################################################################### Loading Loading @@ -1980,15 +1980,6 @@ class MCIsimulator(): nlayccd = 0 ############################################ #### calculate sky noise , old code ##### # self.earthshine(self.earthshine_theta) # self.zodiacal(self.information['ra_obj'], self.information['dec_obj'], self.dt.strftime("%Y-%m-%d")) ############### calculate the earthshine and zodiacal noise ,new code 2023.11.1 ############ ############### # self.earthshine(self.earthshine_theta) # self.zodiacal(self.information['ra_obj'], self.information['dec_obj'], self.zodiacal_time) ra = self.information['ra_pnt0'] dec = self.information['dec_pnt0'] Loading @@ -1999,7 +1990,7 @@ class MCIsimulator(): y_sat=float(self.orbit_pars[self.orbit_exp_num,2]) z_sat=float(self.orbit_pars[self.orbit_exp_num,3]) wave0, zodi0 = zodiacal(ra, dec, self.TianCe_day) # erg/s/cm^2/A/arcsec^2 wave0, zodi0 = self.zodiacal(ra, dec, self.TianCe_day) # erg/s/cm^2/A/arcsec^2 # EarthShine from straylight sl = StrayLight(jtime=time_jd, sat=np.array([x_sat, y_sat, z_sat]), Loading Loading @@ -2572,7 +2563,7 @@ class MCIsimulator(): y_sat=float(self.orbit_pars[self.orbit_exp_num,2]) z_sat=float(self.orbit_pars[self.orbit_exp_num,3]) wave0, zodi0 = zodiacal(ra, dec, self.TianCe_day) # erg/s/cm^2/A/arcsec^2 wave0, zodi0 = self.zodiacal(ra, dec, self.TianCe_day) # erg/s/cm^2/A/arcsec^2 # EarthShine from straylight sl = StrayLight(jtime=time_jd, sat=np.array([x_sat, y_sat, z_sat]), Loading Loading
csst_mci_sim/csst_mci_sim.py +51 −60 Original line number Diff line number Diff line Loading @@ -243,71 +243,71 @@ def ill2flux(E,path): ############################################################## ########################################################## def zodiacal(ra, dec, time): """ For given RA, DEC and TIME, return the interpolated zodical spectrum in Leinert-1998. # def zodiacal(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') jd = time2jd(dt) t = Time(jd, format='jd', scale='utc') # # get solar position # dt = datetime.fromisoformat(time) # #jd = julian.to_jd(dt, fmt='jd') # 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) #xx, yy = np.meshgrid(beta_angle, lamda_angle,indexing='ij', sparse=True) # # 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) # #xx, yy = np.meshgrid(beta_angle, lamda_angle,indexing='ij', sparse=True) f = interpolate.interp2d(xx, yy, zodi, kind='linear') #f = interpolate.RegularGridInterpolator((xx, yy), zodi, method='linear') # f = interpolate.interp2d(xx, yy, zodi, kind='linear') # #f = interpolate.RegularGridInterpolator((xx, yy), zodi, method='linear') zodi_obj = f(beta, lamda) # # zodi_obj = f(beta, lamda) # # 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 # zodi_norm = 252 # # # 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 # # zodi_norm = 252 # spec = spec0 * (zodi_obj / zodi_norm) * 1e-8 # # spec = spec0 * (zodi_obj / zodi_norm) * 1e-8 # # 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 ################################################################################### Loading Loading @@ -1980,15 +1980,6 @@ class MCIsimulator(): nlayccd = 0 ############################################ #### calculate sky noise , old code ##### # self.earthshine(self.earthshine_theta) # self.zodiacal(self.information['ra_obj'], self.information['dec_obj'], self.dt.strftime("%Y-%m-%d")) ############### calculate the earthshine and zodiacal noise ,new code 2023.11.1 ############ ############### # self.earthshine(self.earthshine_theta) # self.zodiacal(self.information['ra_obj'], self.information['dec_obj'], self.zodiacal_time) ra = self.information['ra_pnt0'] dec = self.information['dec_pnt0'] Loading @@ -1999,7 +1990,7 @@ class MCIsimulator(): y_sat=float(self.orbit_pars[self.orbit_exp_num,2]) z_sat=float(self.orbit_pars[self.orbit_exp_num,3]) wave0, zodi0 = zodiacal(ra, dec, self.TianCe_day) # erg/s/cm^2/A/arcsec^2 wave0, zodi0 = self.zodiacal(ra, dec, self.TianCe_day) # erg/s/cm^2/A/arcsec^2 # EarthShine from straylight sl = StrayLight(jtime=time_jd, sat=np.array([x_sat, y_sat, z_sat]), Loading Loading @@ -2572,7 +2563,7 @@ class MCIsimulator(): y_sat=float(self.orbit_pars[self.orbit_exp_num,2]) z_sat=float(self.orbit_pars[self.orbit_exp_num,3]) wave0, zodi0 = zodiacal(ra, dec, self.TianCe_day) # erg/s/cm^2/A/arcsec^2 wave0, zodi0 = self.zodiacal(ra, dec, self.TianCe_day) # erg/s/cm^2/A/arcsec^2 # EarthShine from straylight sl = StrayLight(jtime=time_jd, sat=np.array([x_sat, y_sat, z_sat]), Loading
