def __init__(self, cat): anaData.__init__(self) self.datafilename = cat.outloc+'OutputData_'+cat.runtime+'.FITS' self.massfilename = cat.outloc+'IntegratedFlux_'+cat.runtime+'.csv' self.stackrms = None self.spec = None self.specuncert = 0. self.refspec = 0. self.spectralaxis = None self.nobj = 0 self.totalmass = 0. self.averms1 = 0 self.averms2 = 0 self.averagenoise = 0 self.fitparam = None self.massdata = None self.specunit = None self.stackunit = cat.stackunit self.spectralunit = cat.spectralunit.to_string() self.fittedfunctions = None self.paramtable = None self.noiseuncert = None self.optnum = cat.optnum self.funcnum = cat.funcnum self.rbnum = cat.rbnum self.mask = cat.mask self.maxgalw = cat.maxgalw self.mean = cat.mean self.avemass = (cat.avemass)
def __init__(self,
cat,
other,
axis=None,
allrefspec=[],
allspec=[],
allnoise=[],
allrms=[],
middle=[],
allintflux=np.array([[], [], [], [], [], [], [], []])):
anaData.__init__(self)
self.nobj = other.nobj
self.averms1 = other.averms1
self.averms2 = other.averms2
self.averagenoise = other.averagenoise
self.stackrms = None
self.weightsum = other.weightsum
self.allintflux = allintflux
self.specuncert = None
self.intflux = np.zeros((8, 2))
self.fitrms = np.zeros((8, 2))
self.fitparam = [None, None, None, None, None, None, None]
self.fitparamuncert = [None, None, None, None, None, None, None]
self.paramtable = None
self.originalspec = None
self.originalspectralaxis = None
self.tflux = other.tflux
self.noiseerrupp = None
self.noiseerrlow = None
self.noiseuncert = None
self.allspec = allspec
self.allrefspec = allrefspec
self.allnoise = allnoise
self.allrms = allrms
self.otherparamtable = None
self.middle = middle
self.maskstart = cat.maskstart
self.maskend = cat.maskend
self.originalspec = other.spec
self.originalspectralaxis = other.spectralaxis
self.spectralaxis = axis
self.originalrefspec = other.refspec
self.count = 0