Skip to content
GitLab
Commit a816099d authored by Yan Zhaojun's avatar Yan Zhaojun
Browse files

debug

parent bc7cdc7a
Pipeline #4370 failed with stage
in 0 seconds
Hide whitespace changes
Inline Side-by-side
csst_mci_sim/csst_mci_sim.py
View file @ a816099d
...@@ -2234,124 +2234,124 @@ class MCIsimulator(): ...@@ -2234,124 +2234,124 @@ class MCIsimulator():
################################################################################ ################################################################################
################################################################################# #################################################################################
######################################################################## ########################################################################
def earthshine(self, theta): # def earthshine(self, theta):
""" # """
For given theta angle, return the earth-shine spectrum. # For given theta angle, return the earth-shine spectrum.
:param theta: angle (in degree) from the target to earth limb. # :param theta: angle (in degree) from the target to earth limb.
:return: the scaled solar spectrum # :return: the scaled solar spectrum
template_wave: unit in A # template_wave: unit in A
template_flux: unit in erg/s/cm^2/A/arcsec^2 # template_flux: unit in erg/s/cm^2/A/arcsec^2
""" # """
# read solar template # # read solar template
solar_template = pd.read_csv(self.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(self.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(self.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
# interplate to the target wavelength in V-band # # interplate to the target wavelength in V-band
ind_filter = (template_wave >= np.min(filter_wave)) & (template_wave <= np.max(filter_wave)) # ind_filter = (template_wave >= np.min(filter_wave)) & (template_wave <= np.max(filter_wave))
filter_wave_interp = template_wave[ind_filter] # filter_wave_interp = template_wave[ind_filter]
filter_response_interp = np.interp(filter_wave_interp, filter_wave, filter_response) # filter_response_interp = np.interp(filter_wave_interp, filter_wave, filter_response)
filter_constant = simps(filter_response_interp * filter_wave_interp, filter_wave_interp) # filter_constant = simps(filter_response_interp * filter_wave_interp, filter_wave_interp)
template_constant = simps(filter_response_interp * template_wave[ind_filter] * template_flux[ind_filter], # template_constant = simps(filter_response_interp * template_wave[ind_filter] * template_flux[ind_filter],
template_wave[ind_filter]) # template_wave[ind_filter])
dwave = filter_wave_interp[1:] - filter_wave_interp[:-1] # dwave = filter_wave_interp[1:] - filter_wave_interp[:-1]
wave_eff = np.nansum(dwave * filter_wave_interp[1:] * filter_response_interp[1:]) / \ # wave_eff = np.nansum(dwave * filter_wave_interp[1:] * filter_response_interp[1:]) / \
np.nansum(dwave * filter_response_interp[1:]) # np.nansum(dwave * filter_response_interp[1:])
# get the normalized value at theta. # # get the normalized value at theta.
u0 = np.interp(theta, angle, surface_brightness) # mag/arcsec^2 # u0 = np.interp(theta, angle, surface_brightness) # mag/arcsec^2
u0 = 10**((u0 + 48.6)/(-2.5)) # target flux in erg/s/cm^2/Hz unit # u0 = 10**((u0 + 48.6)/(-2.5)) # target flux in erg/s/cm^2/Hz unit
u0 = u0 * 3e18 / wave_eff**2 # erg/s/cm^2/A/arcsec^2 # u0 = u0 * 3e18 / wave_eff**2 # erg/s/cm^2/A/arcsec^2
factor = u0 * filter_constant / template_constant # factor = u0 * filter_constant / template_constant
norm_flux = template_flux * factor # erg/s/cm^2/A/arcsec^2 # norm_flux = template_flux * factor # erg/s/cm^2/A/arcsec^2
self.earthshine_wave=template_wave # A # self.earthshine_wave=template_wave # A
self.earthshine_flux=norm_flux # self.earthshine_flux=norm_flux
return # return
######################################################################################################################################################################################################################################################## # ########################################################################################################################################################################################################################################################
def zodiacal(self, ra, dec, time): # def zodiacal(self, ra, dec, time):
""" # """
For given RA, DEC and TIME, return the interpolated zodical spectrum in Leinert-1998. # For given RA, DEC and TIME, return the interpolated zodical spectrum in Leinert-1998.
:param ra: RA in unit of degree, ICRS frame # :param ra: RA in unit of degree, ICRS frame
:param dec: DEC 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. # :param time: the specified string that in ISO format i.e., yyyy-mm-dd.
:return: # :return:
wave_A: wavelength of the zodical spectrum # wave_A: wavelength of the zodical spectrum
spec_mjy: flux of the zodical spectrum, in unit of MJy/sr # 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 # spec_erg: flux of the zodical spectrum, in unit of erg/s/cm^2/A/sr
""" # """
# get solar position # # get solar position
dt = datetime.fromisoformat(time) # dt = datetime.fromisoformat(time)
###jd = julian.to_jd(dt, fmt='jd') # ###jd = julian.to_jd(dt, fmt='jd')
jd = time2jd(dt) # jd = time2jd(dt)
t = Time(jd, format='jd', scale='utc') # t = Time(jd, format='jd', scale='utc')
astro_sun = get_sun(t) # astro_sun = get_sun(t)
ra_sun, dec_sun = astro_sun.gcrs.ra.deg, astro_sun.gcrs.dec.deg # 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') # radec_sun = SkyCoord(ra=ra_sun*u.degree, dec=dec_sun*u.degree, frame='gcrs')
lb_sun = radec_sun.transform_to('geocentrictrueecliptic') # lb_sun = radec_sun.transform_to('geocentrictrueecliptic')
# get offsets between the target and sun. # # get offsets between the target and sun.
radec_obj = SkyCoord(ra=ra*u.degree, dec=dec*u.degree, frame='icrs') # radec_obj = SkyCoord(ra=ra*u.degree, dec=dec*u.degree, frame='icrs')
lb_obj = radec_obj.transform_to('geocentrictrueecliptic') # lb_obj = radec_obj.transform_to('geocentrictrueecliptic')
beta = abs(lb_obj.lat.degree) # beta = abs(lb_obj.lat.degree)
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(self.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])
xx, yy = np.meshgrid(beta_angle, lamda_angle) # xx, yy = np.meshgrid(beta_angle, lamda_angle)
f = interpolate.interp2d(xx, yy, zodi, kind='linear') # f = interpolate.interp2d(xx, yy, zodi, kind='linear')
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(self.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^�?
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 # # convert to the commonly used unit of MJy/sr, erg/s/cm^2/A/sr
wave_A = wave # A # wave_A = wave # A
#spec_mjy = spec * 0.1 * wave_A**2 / 3e18 * 1e23 * 1e-6 # MJy/sr # #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_erg = spec * 0.1 # erg/s/cm^2/A/sr
spec_erg2 = spec_erg / 4.25452e10 # erg/s/cm^2/A/arcsec^2 # 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
################################################################################### ###################################################################################
########################################################################## ##########################################################################
......
Supports Markdown
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment