Loading csst_mci_sim/mci_data/mci_all_9K.configdeleted 100755 → 0 +0 −305 Original line number Diff line number Diff line [TEST] dir_path=mci_sim/MCI_inputData/ result_path=mci_sim/mci_sim_result/ ver=C10 #size of the output image array, xsize is column, ysize is row, xsize = 9216,ysize = 9232 xsize =9216 ysize =9232 ##overscanx = column, overscany =row prescan = 27 overscan = 320 #charge trap information file parallelTrapfile=MCI_inputData/data/cdm_euclid_parallel.dat serialTrapfile=MCI_inputData/data/cdm_euclid_serial.dat #cosmetic defects input file cosmeticsFile_g =MCI_inputData/data/Cosmetics_g.txt cosmeticsFile_r =MCI_inputData/data/Cosmetics_r.txt cosmeticsFile_i =MCI_inputData/data/Cosmetics_i.txt ###comicray information file cosmicraylengths=MCI_inputData/data/cdf_cr_length.dat cosmicraydistance=MCI_inputData/data/cdf_cr_total.dat ################################################## #### #### ####Control flags (can be yes/no, true/false) #### ################################################## cosmicRays = yes darknoise = yes cosmetics = yes radiationDamage= yes bleeding = yes overscans = yes nonlinearity = yes readoutNoise = yes skyback = yes TianceEffect = yes intscale = yes ghosts = yes shutterEffect = yes flatfieldM = yes PRNUeffect = yes appFatt = no sky_shift_rot = yes distortion = yes sim_star = no sim_galaxy = yes save_starpsf = no save_cosmicrays = no lensing = yes ############################################## ############################################## #CCD properties fullwellcapacity = 90000 #dark noise in electrons per second dark = 0.001 #exposure to simulate, exposure time exptime = 300.0 ###PNRU matrix sigma flatsigma=0.001 ### cosmicray coveringFraction coveringFraction=0.1 #offset from the object, note that at the moment this is fixed, but in reality a focal plane position dependent. ghostOffsetX = 100 ghostOffsetY = 100 ghostRatio = 1e-04 ####treering effect,bright fatter effect and difusion effect treering=0.1 fatter=1.0 difusion=0.1 ### the choosen Filters in three CCDs filter_g=u filter_r=F555W filter_i=F814W ##['G_filters']=["F275W", "F280N","NUV", "WU", "CBU", "F343N", "u", "F373N", "F395N"," F336W"] ##['R_filters']=["F487N", "F502N", "CBV", "r", "F656N", "F658N", "F467M", "F555W", "F606W", "F673N"] ##['I_filters']=["z", "y", "F815N", "CBI", "F925N", "F960M", "F968N", "F845M" ,"F850LP" ,"F814W"] #################### g_gain1=1.53 g_gain2=1.54 g_gain3=1.55 g_gain4=1.53 g_gain5=1.51 g_gain6=1.56 g_gain7=1.58 g_gain8=1.53 g_gain9=1.54 g_gain10=1.57 g_gain11=1.51 g_gain12=1.53 g_gain13=1.55 g_gain14=1.57 g_gain15=1.53 g_gain16=1.52 ####################### g_rdnois1=4.53 g_rdnois2=4.54 g_rdnois3=4.55 g_rdnois4=4.53 g_rdnois5=4.51 g_rdnois6=4.56 g_rdnois7=4.58 g_rdnois8=4.53 g_rdnois9=4.54 g_rdnois10=4.57 g_rdnois11=4.51 g_rdnois12=4.53 g_rdnois13=4.55 g_rdnois14=4.57 g_rdnois15=4.53 g_rdnois16=4.52 ############################ g_detbia1=500 g_detbia2=510 g_detbia3=514 g_detbia4=520 g_detbia5=524 g_detbia6=540 g_detbia7=530 g_detbia8=532 g_detbia9=534 g_detbia10=526 g_detbia11=532 g_detbia12=516 g_detbia13=540 g_detbia14=560 g_detbia15=536 g_detbia16=528 ############################ r_gain1=1.52 r_gain2=1.54 r_gain3=1.52 r_gain4=1.55 r_gain5=1.56 r_gain6=1.52 r_gain7=1.54 r_gain8=1.6 r_gain9=1.54 r_gain10=1.52 r_gain11=1.54 r_gain12=1.57 r_gain13=1.52 r_gain14=1.55 r_gain15=1.52 r_gain16=1.55 ################################ r_rdnois1=4.23 r_rdnois2=4.24 r_rdnois3=4.25 r_rdnois4=4.23 r_rdnois5=4.21 r_rdnois6=4.26 r_rdnois7=4.28 r_rdnois8=4.23 r_rdnois9=4.24 r_rdnois10=4.27 r_rdnois11=4.21 r_rdnois12=4.23 r_rdnois13=4.25 r_rdnois14=4.27 r_rdnois15=4.23 r_rdnois16=4.22 ################################### r_detbia1=600 r_detbia2=610 r_detbia3=614 r_detbia4=620 r_detbia5=624 r_detbia6=640 r_detbia7=630 r_detbia8=632 r_detbia9=634 r_detbia10=626 r_detbia11=632 r_detbia12=616 r_detbia13=640 r_detbia14=660 r_detbia15=636 r_detbia16=628 ################################### i_gain1=1.62 i_gain2=1.64 i_gain3=1.62 i_gain4=1.65 i_gain5=1.66 i_gain6=1.62 i_gain7=1.64 i_gain8=1.6 i_gain9=1.64 i_gain10=1.62 i_gain11=1.64 i_gain12=1.67 i_gain13=1.62 i_gain14=1.65 i_gain15=1.62 i_gain16=1.65 ################################### i_rdnois1=4.63 i_rdnois2=4.64 i_rdnois3=4.65 i_rdnois4=4.63 i_rdnois5=4.61 i_rdnois6=4.66 i_rdnois7=4.68 i_rdnois8=4.63 i_rdnois9=4.64 i_rdnois10=4.67 i_rdnois11=4.61 i_rdnois12=4.63 i_rdnois13=4.65 i_rdnois14=4.67 i_rdnois15=4.63 i_rdnois16=4.62 ####################################### i_detbia1=400 i_detbia2=410 i_detbia3=414 i_detbia4=420 i_detbia5=424 i_detbia6=440 i_detbia7=430 i_detbia8=432 i_detbia9=434 i_detbia10=426 i_detbia11=432 i_detbia12=416 i_detbia13=440 i_detbia14=460 i_detbia15=436 i_detbia16=428 ####### end ####################### csst_mci_sim/support/sed.py +88 −88 Original line number Diff line number Diff line Loading @@ -121,103 +121,103 @@ def calibrate(wave, flux, mag, path, band='GAIA_bp'): # SED Template class Gal_Temp(): """ Template of Galaxy SED """ def __init__(self, log, path): # # parent = os.path.dirname(os.path.realpath(__file__)) self.path = path hdulist = fits.open( self.path+'MCI_inputData/SED_Code/seddata/galaxy_temp.fits') if len(hdulist) < 4: log.error( 'Data error in galaxy_temp.fits file, please check!!!') raise ValueError( 'Data error in galaxy_temp.fits file, please check!!!') self.wave = hdulist[1].data['wave'] self.flux = hdulist[2].data self.age_grid = hdulist[3].data['logAge'] self.feh_grid = hdulist[3].data['FeH'] def toMag(self, redshift=0): """Calculating magnitude Args: redshift (float, optional): redshift of spectra. Defaults to 0. """ wave = self.wave * (1 + redshift) self.umag = flux_to_mag(wave, self.flux, self.path, band='SDSS_u') self.gmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_g') self.rmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_r') self.imag = flux_to_mag(wave, self.flux, self.path, band='SDSS_i') self.zmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_z') class Star_Temp(): """ Template of Stellar SED """ def __init__(self, path): # self.path = path # parent = os.path.dirname(os.path.realpath(__file__)) # print("获取其父目录——" + parent) # 从当前文件路径中获取目录 hdulist = fits.open( os.path.join(path, 'MCI_inputData/SED_Code/seddata/stellar_temp_wrong.fits')) if len(hdulist) < 4: self.log.error( 'Data error in galaxy_temp.fits file, please check!!!') raise ValueError( 'Data error in galaxy_temp.fits file, please check!!!') self.wave = hdulist[1].data['wave'] self.flux = hdulist[2].data self.Teff_grid = hdulist[3].data['Teff'] self.FeH_grid = hdulist[3].data['FeH'] self.bpmag = flux_to_mag(self.wave, self.flux, path, band='GAIA_bp') self.rpmag = flux_to_mag(self.wave, self.flux, path, band='GAIA_rp') def toMag(self): wave = self.wave self.bpmag = flux_to_mag(wave, self.flux, self.path, band='GAIA_bp') self.rpmag = flux_to_mag(wave, self.flux, self.path, band='GAIA_rp') # class Gal_Temp(): # """ # Template of Galaxy SED # """ # def __init__(self, log, path): # # # # parent = os.path.dirname(os.path.realpath(__file__)) # self.path = path # hdulist = fits.open( # self.path+'MCI_inputData/SED_Code/seddata/galaxy_temp.fits') # if len(hdulist) < 4: # log.error( # 'Data error in galaxy_temp.fits file, please check!!!') # raise ValueError( # 'Data error in galaxy_temp.fits file, please check!!!') # self.wave = hdulist[1].data['wave'] # self.flux = hdulist[2].data # self.age_grid = hdulist[3].data['logAge'] # self.feh_grid = hdulist[3].data['FeH'] # def toMag(self, redshift=0): # """Calculating magnitude # Args: # redshift (float, optional): redshift of spectra. Defaults to 0. # """ # wave = self.wave * (1 + redshift) # self.umag = flux_to_mag(wave, self.flux, self.path, band='SDSS_u') # self.gmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_g') # self.rmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_r') # self.imag = flux_to_mag(wave, self.flux, self.path, band='SDSS_i') # self.zmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_z') # class Star_Temp(): # """ # Template of Stellar SED # """ # def __init__(self, path): # # # self.path = path # # parent = os.path.dirname(os.path.realpath(__file__)) # # print("获取其父目录——" + parent) # 从当前文件路径中获取目录 # hdulist = fits.open( # os.path.join(path, 'MCI_inputData/SED_Code/seddata/stellar_temp_wrong.fits')) # if len(hdulist) < 4: # self.log.error( # 'Data error in galaxy_temp.fits file, please check!!!') # raise ValueError( # 'Data error in galaxy_temp.fits file, please check!!!') # self.wave = hdulist[1].data['wave'] # self.flux = hdulist[2].data # self.Teff_grid = hdulist[3].data['Teff'] # self.FeH_grid = hdulist[3].data['FeH'] # self.bpmag = flux_to_mag(self.wave, self.flux, path, band='GAIA_bp') # self.rpmag = flux_to_mag(self.wave, self.flux, path, band='GAIA_rp') # def toMag(self): # wave = self.wave # self.bpmag = flux_to_mag(wave, self.flux, self.path, band='GAIA_bp') # self.rpmag = flux_to_mag(wave, self.flux, self.path, band='GAIA_rp') # ------------- # SED Modelling def Model_Stellar_SED(wave, bp, rp, temp): """Modelling stellar SED based on bp, rp magnitude # def Model_Stellar_SED(wave, bp, rp, temp): # """Modelling stellar SED based on bp, rp magnitude Args: wave (float): Wavelength bp (float): Magnitude of GAIA BP band rp (float): Magnitude of GAIA RP band temp (class): Class of stellar template # Args: # wave (float): Wavelength # bp (float): Magnitude of GAIA BP band # rp (float): Magnitude of GAIA RP band # temp (class): Class of stellar template Returns: float array: Spectral energy distribution of stellar SED, which have the same length to the input wave """ # Returns: # float array: Spectral energy distribution of stellar SED, # which have the same length to the input wave # """ color0 = bp - rp colors = temp.bpmag - temp.rpmag # color0 = bp - rp # colors = temp.bpmag - temp.rpmag idx = np.argmin(np.abs(colors - color0)) flux0 = temp.flux[idx] flux1 = np.interp(wave, temp.wave, flux0) flux = calibrate(wave, flux1, rp, band='GAIA_rp') return flux # idx = np.argmin(np.abs(colors - color0)) # flux0 = temp.flux[idx] # flux1 = np.interp(wave, temp.wave, flux0) # flux = calibrate(wave, flux1, rp, band='GAIA_rp') # return flux def Model_Galaxy_SED(wave, ugriz, z, temp, path): Loading Loading
csst_mci_sim/mci_data/mci_all_9K.configdeleted 100755 → 0 +0 −305 Original line number Diff line number Diff line [TEST] dir_path=mci_sim/MCI_inputData/ result_path=mci_sim/mci_sim_result/ ver=C10 #size of the output image array, xsize is column, ysize is row, xsize = 9216,ysize = 9232 xsize =9216 ysize =9232 ##overscanx = column, overscany =row prescan = 27 overscan = 320 #charge trap information file parallelTrapfile=MCI_inputData/data/cdm_euclid_parallel.dat serialTrapfile=MCI_inputData/data/cdm_euclid_serial.dat #cosmetic defects input file cosmeticsFile_g =MCI_inputData/data/Cosmetics_g.txt cosmeticsFile_r =MCI_inputData/data/Cosmetics_r.txt cosmeticsFile_i =MCI_inputData/data/Cosmetics_i.txt ###comicray information file cosmicraylengths=MCI_inputData/data/cdf_cr_length.dat cosmicraydistance=MCI_inputData/data/cdf_cr_total.dat ################################################## #### #### ####Control flags (can be yes/no, true/false) #### ################################################## cosmicRays = yes darknoise = yes cosmetics = yes radiationDamage= yes bleeding = yes overscans = yes nonlinearity = yes readoutNoise = yes skyback = yes TianceEffect = yes intscale = yes ghosts = yes shutterEffect = yes flatfieldM = yes PRNUeffect = yes appFatt = no sky_shift_rot = yes distortion = yes sim_star = no sim_galaxy = yes save_starpsf = no save_cosmicrays = no lensing = yes ############################################## ############################################## #CCD properties fullwellcapacity = 90000 #dark noise in electrons per second dark = 0.001 #exposure to simulate, exposure time exptime = 300.0 ###PNRU matrix sigma flatsigma=0.001 ### cosmicray coveringFraction coveringFraction=0.1 #offset from the object, note that at the moment this is fixed, but in reality a focal plane position dependent. ghostOffsetX = 100 ghostOffsetY = 100 ghostRatio = 1e-04 ####treering effect,bright fatter effect and difusion effect treering=0.1 fatter=1.0 difusion=0.1 ### the choosen Filters in three CCDs filter_g=u filter_r=F555W filter_i=F814W ##['G_filters']=["F275W", "F280N","NUV", "WU", "CBU", "F343N", "u", "F373N", "F395N"," F336W"] ##['R_filters']=["F487N", "F502N", "CBV", "r", "F656N", "F658N", "F467M", "F555W", "F606W", "F673N"] ##['I_filters']=["z", "y", "F815N", "CBI", "F925N", "F960M", "F968N", "F845M" ,"F850LP" ,"F814W"] #################### g_gain1=1.53 g_gain2=1.54 g_gain3=1.55 g_gain4=1.53 g_gain5=1.51 g_gain6=1.56 g_gain7=1.58 g_gain8=1.53 g_gain9=1.54 g_gain10=1.57 g_gain11=1.51 g_gain12=1.53 g_gain13=1.55 g_gain14=1.57 g_gain15=1.53 g_gain16=1.52 ####################### g_rdnois1=4.53 g_rdnois2=4.54 g_rdnois3=4.55 g_rdnois4=4.53 g_rdnois5=4.51 g_rdnois6=4.56 g_rdnois7=4.58 g_rdnois8=4.53 g_rdnois9=4.54 g_rdnois10=4.57 g_rdnois11=4.51 g_rdnois12=4.53 g_rdnois13=4.55 g_rdnois14=4.57 g_rdnois15=4.53 g_rdnois16=4.52 ############################ g_detbia1=500 g_detbia2=510 g_detbia3=514 g_detbia4=520 g_detbia5=524 g_detbia6=540 g_detbia7=530 g_detbia8=532 g_detbia9=534 g_detbia10=526 g_detbia11=532 g_detbia12=516 g_detbia13=540 g_detbia14=560 g_detbia15=536 g_detbia16=528 ############################ r_gain1=1.52 r_gain2=1.54 r_gain3=1.52 r_gain4=1.55 r_gain5=1.56 r_gain6=1.52 r_gain7=1.54 r_gain8=1.6 r_gain9=1.54 r_gain10=1.52 r_gain11=1.54 r_gain12=1.57 r_gain13=1.52 r_gain14=1.55 r_gain15=1.52 r_gain16=1.55 ################################ r_rdnois1=4.23 r_rdnois2=4.24 r_rdnois3=4.25 r_rdnois4=4.23 r_rdnois5=4.21 r_rdnois6=4.26 r_rdnois7=4.28 r_rdnois8=4.23 r_rdnois9=4.24 r_rdnois10=4.27 r_rdnois11=4.21 r_rdnois12=4.23 r_rdnois13=4.25 r_rdnois14=4.27 r_rdnois15=4.23 r_rdnois16=4.22 ################################### r_detbia1=600 r_detbia2=610 r_detbia3=614 r_detbia4=620 r_detbia5=624 r_detbia6=640 r_detbia7=630 r_detbia8=632 r_detbia9=634 r_detbia10=626 r_detbia11=632 r_detbia12=616 r_detbia13=640 r_detbia14=660 r_detbia15=636 r_detbia16=628 ################################### i_gain1=1.62 i_gain2=1.64 i_gain3=1.62 i_gain4=1.65 i_gain5=1.66 i_gain6=1.62 i_gain7=1.64 i_gain8=1.6 i_gain9=1.64 i_gain10=1.62 i_gain11=1.64 i_gain12=1.67 i_gain13=1.62 i_gain14=1.65 i_gain15=1.62 i_gain16=1.65 ################################### i_rdnois1=4.63 i_rdnois2=4.64 i_rdnois3=4.65 i_rdnois4=4.63 i_rdnois5=4.61 i_rdnois6=4.66 i_rdnois7=4.68 i_rdnois8=4.63 i_rdnois9=4.64 i_rdnois10=4.67 i_rdnois11=4.61 i_rdnois12=4.63 i_rdnois13=4.65 i_rdnois14=4.67 i_rdnois15=4.63 i_rdnois16=4.62 ####################################### i_detbia1=400 i_detbia2=410 i_detbia3=414 i_detbia4=420 i_detbia5=424 i_detbia6=440 i_detbia7=430 i_detbia8=432 i_detbia9=434 i_detbia10=426 i_detbia11=432 i_detbia12=416 i_detbia13=440 i_detbia14=460 i_detbia15=436 i_detbia16=428 ####### end #######################
csst_mci_sim/support/sed.py +88 −88 Original line number Diff line number Diff line Loading @@ -121,103 +121,103 @@ def calibrate(wave, flux, mag, path, band='GAIA_bp'): # SED Template class Gal_Temp(): """ Template of Galaxy SED """ def __init__(self, log, path): # # parent = os.path.dirname(os.path.realpath(__file__)) self.path = path hdulist = fits.open( self.path+'MCI_inputData/SED_Code/seddata/galaxy_temp.fits') if len(hdulist) < 4: log.error( 'Data error in galaxy_temp.fits file, please check!!!') raise ValueError( 'Data error in galaxy_temp.fits file, please check!!!') self.wave = hdulist[1].data['wave'] self.flux = hdulist[2].data self.age_grid = hdulist[3].data['logAge'] self.feh_grid = hdulist[3].data['FeH'] def toMag(self, redshift=0): """Calculating magnitude Args: redshift (float, optional): redshift of spectra. Defaults to 0. """ wave = self.wave * (1 + redshift) self.umag = flux_to_mag(wave, self.flux, self.path, band='SDSS_u') self.gmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_g') self.rmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_r') self.imag = flux_to_mag(wave, self.flux, self.path, band='SDSS_i') self.zmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_z') class Star_Temp(): """ Template of Stellar SED """ def __init__(self, path): # self.path = path # parent = os.path.dirname(os.path.realpath(__file__)) # print("获取其父目录——" + parent) # 从当前文件路径中获取目录 hdulist = fits.open( os.path.join(path, 'MCI_inputData/SED_Code/seddata/stellar_temp_wrong.fits')) if len(hdulist) < 4: self.log.error( 'Data error in galaxy_temp.fits file, please check!!!') raise ValueError( 'Data error in galaxy_temp.fits file, please check!!!') self.wave = hdulist[1].data['wave'] self.flux = hdulist[2].data self.Teff_grid = hdulist[3].data['Teff'] self.FeH_grid = hdulist[3].data['FeH'] self.bpmag = flux_to_mag(self.wave, self.flux, path, band='GAIA_bp') self.rpmag = flux_to_mag(self.wave, self.flux, path, band='GAIA_rp') def toMag(self): wave = self.wave self.bpmag = flux_to_mag(wave, self.flux, self.path, band='GAIA_bp') self.rpmag = flux_to_mag(wave, self.flux, self.path, band='GAIA_rp') # class Gal_Temp(): # """ # Template of Galaxy SED # """ # def __init__(self, log, path): # # # # parent = os.path.dirname(os.path.realpath(__file__)) # self.path = path # hdulist = fits.open( # self.path+'MCI_inputData/SED_Code/seddata/galaxy_temp.fits') # if len(hdulist) < 4: # log.error( # 'Data error in galaxy_temp.fits file, please check!!!') # raise ValueError( # 'Data error in galaxy_temp.fits file, please check!!!') # self.wave = hdulist[1].data['wave'] # self.flux = hdulist[2].data # self.age_grid = hdulist[3].data['logAge'] # self.feh_grid = hdulist[3].data['FeH'] # def toMag(self, redshift=0): # """Calculating magnitude # Args: # redshift (float, optional): redshift of spectra. Defaults to 0. # """ # wave = self.wave * (1 + redshift) # self.umag = flux_to_mag(wave, self.flux, self.path, band='SDSS_u') # self.gmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_g') # self.rmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_r') # self.imag = flux_to_mag(wave, self.flux, self.path, band='SDSS_i') # self.zmag = flux_to_mag(wave, self.flux, self.path, band='SDSS_z') # class Star_Temp(): # """ # Template of Stellar SED # """ # def __init__(self, path): # # # self.path = path # # parent = os.path.dirname(os.path.realpath(__file__)) # # print("获取其父目录——" + parent) # 从当前文件路径中获取目录 # hdulist = fits.open( # os.path.join(path, 'MCI_inputData/SED_Code/seddata/stellar_temp_wrong.fits')) # if len(hdulist) < 4: # self.log.error( # 'Data error in galaxy_temp.fits file, please check!!!') # raise ValueError( # 'Data error in galaxy_temp.fits file, please check!!!') # self.wave = hdulist[1].data['wave'] # self.flux = hdulist[2].data # self.Teff_grid = hdulist[3].data['Teff'] # self.FeH_grid = hdulist[3].data['FeH'] # self.bpmag = flux_to_mag(self.wave, self.flux, path, band='GAIA_bp') # self.rpmag = flux_to_mag(self.wave, self.flux, path, band='GAIA_rp') # def toMag(self): # wave = self.wave # self.bpmag = flux_to_mag(wave, self.flux, self.path, band='GAIA_bp') # self.rpmag = flux_to_mag(wave, self.flux, self.path, band='GAIA_rp') # ------------- # SED Modelling def Model_Stellar_SED(wave, bp, rp, temp): """Modelling stellar SED based on bp, rp magnitude # def Model_Stellar_SED(wave, bp, rp, temp): # """Modelling stellar SED based on bp, rp magnitude Args: wave (float): Wavelength bp (float): Magnitude of GAIA BP band rp (float): Magnitude of GAIA RP band temp (class): Class of stellar template # Args: # wave (float): Wavelength # bp (float): Magnitude of GAIA BP band # rp (float): Magnitude of GAIA RP band # temp (class): Class of stellar template Returns: float array: Spectral energy distribution of stellar SED, which have the same length to the input wave """ # Returns: # float array: Spectral energy distribution of stellar SED, # which have the same length to the input wave # """ color0 = bp - rp colors = temp.bpmag - temp.rpmag # color0 = bp - rp # colors = temp.bpmag - temp.rpmag idx = np.argmin(np.abs(colors - color0)) flux0 = temp.flux[idx] flux1 = np.interp(wave, temp.wave, flux0) flux = calibrate(wave, flux1, rp, band='GAIA_rp') return flux # idx = np.argmin(np.abs(colors - color0)) # flux0 = temp.flux[idx] # flux1 = np.interp(wave, temp.wave, flux0) # flux = calibrate(wave, flux1, rp, band='GAIA_rp') # return flux def Model_Galaxy_SED(wave, ugriz, z, temp, path): Loading
