def __init__(self, Conf_Folder, LinesLogHeader_Name):
#Import the library with the fitting algorithms with gaussians
Fitting_Gaussians.__init__(self)
LineMesurer_Log.__init__(self, Conf_Folder, LinesLogHeader_Name)
#Line definition
self.Current_Label = None
self.Current_Ion = None
self.Current_TheoLoc = None
#Textfile where we store our data
self.Current_LinesLog = None
#Vector we use to store the 6 wavelengths which define the emision line location and the two continuums
self.Selections = []
#Indexes for the "Selections vector" wavelengths
self.ind1 = None #Wave1
self.ind2 = None #Wave2
self.ind3 = None #Wave3
self.ind4 = None #Wave4
self.ind5 = None #Wave5
self.ind6 = None #Wave6
#New design
self.BoxSize = 70
#Dictionary to store the data
self.Parameter_dict = OrderedDict.fromkeys(self.ColumnHeaderVector)
#Extra mechanisms for testing the wide component on Halpha
self.force_WD = True
def __init__(self, Conf_Folder, LinesLogHeader_Name):
#Import the library with the fitting algorithms with gaussians
Fitting_Gaussians.__init__(self)
LineMesurer_Log.__init__(self, Conf_Folder, LinesLogHeader_Name)
#Line definition
self.Current_Label = None
self.Current_Ion = None
self.Current_TheoLoc = None
#Textfile where we store our data
self.Current_LinesLog = None
#Without a graphical interface we need a dataframe with the possible blended lines
self.blendedLines_Table()
#New design
self.BoxSize = 70
#Dictionary to store the data
self.Parameter_dict = OrderedDict.fromkeys(self.ColumnHeaderVector)
#Extra mechanisms for testing the wide component on Halpha
self.force_WD = True
#Parameters to save in log #WARNING: Missing emission line type
self.saving_parameters_list = ['Ion',
'lambda_theo',
'lambda_obs',
'flux_intg',
'flux_intg_er',
'flux_gauss',
'flux_gauss_er',
'eqw',
'eqw_er',
'A',
'A_er',
'mu',
'mu_er',
'sigma',
'sigma_er',
'zerolev_mean', #continuum linear value at line region center
'zerolev_std',
'zerolev_width',
'm_zerolev',
'n_zerolev',
'Wave1',
'Wave2',
'Wave3',
'Wave4',
'Wave5',
'Wave6',
'blended_check',
'line_number',
'group_label',
'add_wide_component',
'fit_routine']
