def aodm(self, **kwargs):
""" AODM calculation
Parameters
----------
spec : Spectrum1D (None)
1D spectrum. Required but often read in through the Class (self.spec)
conti : np.array (None)
Continuum array
Returns:
N, sigN : Column and error in linear space
"""
# Grab Spectrum
spec = self.set_spec(**kwargs)
# Velocity array
spec.velo = spec.relative_vel(self.wrest*(1+self.analy['z']))
# Pixels for evaluation
pix = spec.pix_minmax(self.analy['z'], self.wrest,
self.analy['VLIM'].to('km/s'))[0]
#self.analy['VLIM'].to('km/s').value)[0]
# For convenience + normalize
velo = spec.velo[pix]
fx, sig = parse_spec(spec, **kwargs)
# dv
delv = velo - np.roll(velo,1)
delv[0] = delv[1]
# Atomic data
cst = (10.**14.5761)/(self.atomic['fval']*self.wrest) / (u.km/u.s) / u.cm * (u.AA/u.cm)
# Mask
mask = (pix == pix) # True = good
nndt = Quantity(np.zeros(len(pix)), unit='s/(km cm cm)')
# Saturated?
satp = np.where( (fx <= sig/5.) | (fx < 0.05) )[0]
if len(satp) > 0:
mask[satp] = False
lim = np.where(sig[satp] > 0.)[0]
if len(lim) > 0:
sub = np.maximum(0.05, sig[satp[lim]]/5.)
nndt[satp[lim]] = np.log(1./sub)*cst
flg_sat = len(lim)
# AODM
nndt[mask] = np.log(1./fx[mask])*cst
# Sum it
ntot = np.sum( nndt*delv )
tvar = np.sum( (delv*cst*sig/fx)**2 )
# Fill
self.attrib['N'] = ntot
self.attrib['sigN'] = np.sqrt(tvar)
logN, sig_logN = xsb.lin_to_log(self.attrib['N'].value, self.attrib['sigN'].value)
self.attrib['logN'] = logN
self.attrib['sig_logN'] = sig_logN
# Return
return ntot, np.sqrt(tvar)
# Test AODM
if (flg_test % 2**2) >= 2**1:
print('------------ AODM -------------')
# Spectrum
fil = '~/PROGETTI/LLSZ3/data/normalize/UM669_nF.fits'
aline = AbsLine(1302.1685*u.AA)
aline.spec = lsio.readspec(fil)
# Line info
aline.analy['z'] = 2.92652
aline.analy['VLIM'] = const.c.to('km/s') * (
( np.array([5110.668, 5116.305])*u.AA/(
1+aline.analy['z']) - aline.wrest) / aline.wrest )
# Evaluate
N,sigN = aline.aodm(conti=np.ones(len(aline.spec.flux)))
logN, sig_logN = xsb.lin_to_log(N,sigN)
print('logN = {:g}, sig_logN = {:g}'.format(logN, sig_logN))
# Test EW
if (flg_test % 2**3) >= 2**2:
print('------------ EW -------------')
# Spectrum
fil = '~/PROGETTI/LLSZ3/data/normalize/UM669_nF.fits'
aline = AbsLine(1302.1685)
aline.spec = lsio.readspec(fil)
# Line info
aline.analy['z'] = 2.92652
aline.analy['WVMNX'] = [5110.668, 5116.305]
# Evaluate
EW,sigEW = aline.restew()
