def fit_one_cube(plt,
ifu,
drpall_file=None,
directory_path=None,
analysis_path=None):
# Grab the required input parameters
config_file = '{0}-{1}.cfg'.format(plt, ifu)
get_config(plt, ifu, config_file, drpall_file=drpall_file)
# Read the datacube
cube = MaNGADataCube.from_config(config_file,
directory_path=directory_path)
# Define how you want to analyze the data
plan = AnalysisPlanSet([
AnalysisPlan(
drpqa_key='SNRG',
bin_key='VOR10', #'HYB10',
continuum_key='MILESHCMPL10',
elmom_key='EMOMMPL10',
elfit_key='EFITMPL10', #'EFITMPL9DB',
spindex_key='INDXEN')
])
# Run it!
return manga_dap(cube,
plan,
verbose=2,
directory_path=directory_path,
analysis_path=analysis_path)
def test_from_config():
cube = MaNGADataCube.from_config(data_test_file('datacube.ini'))
assert cube.meta['z'] == 0.0293823, 'Bad config file read'
assert cube.meta['ell'] == 0.110844, 'Bad config file read'
