Пример #1
0
root_folder = 'E:\\Dropbox\\Astrophysics\\Data\\WHT_observations\\bayesianModel\\'
whtSpreadSheet = 'E:\\Dropbox\\Astrophysics\\Data\\WHT_observations\\WHT_Galaxies_properties.xlsx'

# Import data
catalogue_dict = dz.import_catalogue()
catalogue_df = dz.load_excel_DF(whtSpreadSheet)

default_lines = [
    'H1_4341A', 'H1_6563A', 'He1_4471A', 'He1_5876A', 'He1_6678A', 'He2_4686A',
    'O2_7319A', 'O2_7319A_b', 'O2_7330A', 'O3_4363A', 'O3_4959A', 'O3_5007A',
    'N2_6548A', 'N2_6584A', 'S2_6716A', 'S2_6731A', 'S3_6312A', 'S3_9069A',
    'S3_9531A', 'Ar3_7136A', 'Ar4_4740A'
]

# Quick indexing
dz.quick_indexing(catalogue_df)

# Sample objects
excludeObjects = [
    'SHOC579', 'SHOC575_n2', '11', 'SHOC588', 'SDSS3', 'SDSS1', 'SHOC36'
]
sampleObjects = catalogue_df.loc[
    dz.idx_include & ~catalogue_df.index.isin(excludeObjects)].index.values

# Generate spectra synthesizer object
specS = SpectraSynthesizer()

# Loop through the objects
for i in range(sampleObjects.size):

    # Object references