def test_read_lya_seed(self):
flux1a, wave1a, meta1a, objmeta1a = lya_spectra.get_spectra(
self.infile, wave=self.wave, nqso=3, seed=1)
flux1b, wave1b, meta1b, objmeta1b = lya_spectra.get_spectra(
self.infile, wave=self.wave, nqso=3, seed=1)
flux2, wave2, meta2, objmeta2 = lya_spectra.get_spectra(self.infile,
wave=self.wave,
nqso=3,
seed=2)
self.assertTrue(np.all(flux1a == flux1b))
self.assertTrue(np.any(flux1a != flux2))
def test_read_lya(self):
flux, wave, meta, objmeta = lya_spectra.get_spectra(self.infile, wave=self.wave, seed=self.seed)
self.assertEqual(flux.shape[0], self.nspec)
self.assertEqual(wave.shape[0], flux.shape[1])
self.assertEqual(len(meta), self.nspec)
self.assertEqual(len(objmeta), self.nspec)
templateid = [0,1,2]
nqso = len(templateid)
flux, wave, meta, objmeta = lya_spectra.get_spectra(self.infile, templateid=templateid,
wave=self.wave, seed=self.seed)
self.assertEqual(flux.shape[0], nqso)
self.assertEqual(wave.shape[0], flux.shape[1])
self.assertEqual(len(meta), nqso)
self.assertEqual(len(objmeta), nqso)
def test_read_lya(self):
flux, wave, meta, objmeta = lya_spectra.get_spectra(self.infile,
wave=self.wave,
seed=self.seed)
self.assertEqual(flux.shape[0], self.nspec)
self.assertEqual(wave.shape[0], flux.shape[1])
self.assertEqual(len(meta), self.nspec)
self.assertEqual(len(objmeta), self.nspec)
templateid = [0, 1, 2]
nqso = len(templateid)
flux, wave, meta, objmeta = lya_spectra.get_spectra(
self.infile, templateid=templateid, wave=self.wave, seed=self.seed)
self.assertEqual(flux.shape[0], nqso)
self.assertEqual(wave.shape[0], flux.shape[1])
self.assertEqual(len(meta), nqso)
self.assertEqual(len(objmeta), nqso)
def test_insert_dla(self):
flux, wave, meta, objmeta, dla_meta = lya_spectra.get_spectra(
self.infile, wave=self.wave, seed=self.seed, add_dlas=True)
self.assertEqual(flux.shape[0], self.nspec)
self.assertEqual(wave.shape[0], flux.shape[1])
self.assertEqual(len(meta), self.nspec)
self.assertEqual(len(objmeta), self.nspec)
self.assertGreater(len(dla_meta), 0)
self.assertIn('NHI', dla_meta.keys())
templateid = [0, 1, 2]
nqso = len(templateid)
flux, wave, meta, objmeta = lya_spectra.get_spectra(
self.infile, templateid=templateid, wave=self.wave, seed=self.seed)
self.assertEqual(flux.shape[0], nqso)
self.assertEqual(wave.shape[0], flux.shape[1])
self.assertEqual(len(meta), nqso)
self.assertEqual(len(objmeta), nqso)
def test_insert_dla(self):
flux, wave, meta, objmeta, dla_meta = lya_spectra.get_spectra(
self.infile, wave=self.wave, seed=self.seed, add_dlas=True)
self.assertEqual(flux.shape[0], self.nspec)
self.assertEqual(wave.shape[0], flux.shape[1])
self.assertEqual(len(meta), self.nspec)
self.assertEqual(len(objmeta), self.nspec)
self.assertGreater(len(dla_meta), 0)
self.assertIn('NHI', dla_meta.keys())
templateid = [0,1,2]
nqso = len(templateid)
flux, wave, meta, objmeta = lya_spectra.get_spectra(self.infile, templateid=templateid,
wave=self.wave, seed=self.seed)
self.assertEqual(flux.shape[0], nqso)
self.assertEqual(wave.shape[0], flux.shape[1])
self.assertEqual(len(meta), nqso)
self.assertEqual(len(objmeta), nqso)
def qso(self, data, index=None, mockformat='gaussianfield'):
"""Generate spectra for the QSO or QSO/LYA samples.
Note: We need to make sure NORMFILTER matches!
"""
from desisim.lya_spectra import get_spectra
objtype = 'QSO'
if index is None:
index = np.arange(len(data['Z']))
nobj = len(index)
if mockformat.lower() == 'gaussianfield':
input_meta = empty_metatable(nmodel=nobj, objtype=objtype)
for inkey, datakey in zip(('SEED', 'MAG', 'REDSHIFT'),
('SEED', 'MAG', 'Z')):
input_meta[inkey] = data[datakey][index]
# Build the tracer and Lya forest QSO spectra separately.
meta = empty_metatable(nmodel=nobj, objtype=objtype)
flux = np.zeros([nobj, len(self.wave)], dtype='f4')
lya = np.where( data['TEMPLATESUBTYPE'][index] == 'LYA' )[0]
tracer = np.where( data['TEMPLATESUBTYPE'][index] == '' )[0]
if len(tracer) > 0:
flux1, _, meta1 = self.qso_templates.make_templates(input_meta=input_meta[tracer],
lyaforest=False,
nocolorcuts=True,
verbose=self.verbose)
meta[tracer] = meta1
flux[tracer, :] = flux1
if len(lya) > 0:
alllyafile = data['LYAFILES'][index][lya]
alllyahdu = data['LYAHDU'][index][lya]
for lyafile in sorted(set(alllyafile)):
these = np.where( lyafile == alllyafile )[0]
templateid = alllyahdu[these] - 1 # templateid is 0-indexed
flux1, _, meta1 = get_spectra(lyafile, templateid=templateid, normfilter=data['FILTERNAME'],
rand=self.rand, qso=self.lya_templates, nocolorcuts=True)
meta1['SUBTYPE'] = 'LYA'
meta[lya[these]] = meta1
flux[lya[these], :] = flux1
elif mockformat.lower() == 'lya':
# Build spectra for Lyman-alpha QSOs. Deprecated!
from desisim.lya_spectra import get_spectra
from desitarget.mock.io import decode_rownum_filenum
meta = empty_metatable(nmodel=nobj, objtype=objtype)
flux = np.zeros([nobj, len(self.wave)], dtype='f4')
rowindx, fileindx = decode_rownum_filenum(data['MOCKID'][index])
for indx1 in set(fileindx):
lyafile = data['FILES'][indx1]
these = np.where(indx1 == fileindx)[0]
templateid = rowindx[these].astype('int')
flux1, _, meta1 = get_spectra(lyafile, templateid=templateid,
normfilter=data['FILTERNAME'],
rand=self.rand, qso=self.lya_templates)
meta[these] = meta1
flux[these, :] = flux1
else:
raise ValueError('Unrecognized mockformat {}!'.format(mockformat))
return flux, meta
def test_read_lya_seed(self):
flux1a, wave1a, meta1a, objmeta1a = lya_spectra.get_spectra(self.infile, wave=self.wave, nqso=3, seed=1)
flux1b, wave1b, meta1b, objmeta1b = lya_spectra.get_spectra(self.infile, wave=self.wave, nqso=3, seed=1)
flux2, wave2, meta2, objmeta2 = lya_spectra.get_spectra(self.infile, wave=self.wave, nqso=3, seed=2)
self.assertTrue(np.all(flux1a == flux1b))
self.assertTrue(np.any(flux1a != flux2))
def qso(self, data, index=None, mockformat='gaussianfield'):
"""Generate spectra for the QSO or QSO/LYA samples.
Note: We need to make sure NORMFILTER matches!
"""
from desisim.lya_spectra import get_spectra
from desisim.lya_spectra import read_lya_skewers,apply_lya_transmission
import fitsio
log = get_logger()
objtype = 'QSO'
if index is None:
index = np.arange(len(data['Z']))
nobj = len(index)
if mockformat.lower() == 'gaussianfield':
input_meta = empty_metatable(nmodel=nobj, objtype=objtype)
for inkey, datakey in zip(('SEED', 'MAG', 'REDSHIFT'),
('SEED', 'MAG', 'Z')):
input_meta[inkey] = data[datakey][index]
# Build the tracer and Lya forest QSO spectra separately.
meta = empty_metatable(nmodel=nobj, objtype=objtype)
flux = np.zeros([nobj, len(self.wave)], dtype='f4')
lya = np.where( data['TEMPLATESUBTYPE'][index] == 'LYA' )[0]
tracer = np.where( data['TEMPLATESUBTYPE'][index] == '' )[0]
if len(tracer) > 0:
flux1, _, meta1 = self.qso_templates.make_templates(input_meta=input_meta[tracer],
lyaforest=False,
nocolorcuts=True,
verbose=self.verbose)
meta[tracer] = meta1
flux[tracer, :] = flux1
if len(lya) > 0:
ilya=index[lya].astype(int)
nqso=ilya.size
log.info("Generating spectra of %d lya QSOs"%nqso)
if 'LYAHDU' in data :
# this is the old format with one HDU per spectrum
alllyafile = data['LYAFILES'][ilya]
alllyahdu = data['LYAHDU'][ilya]
for lyafile in sorted(set(alllyafile)):
these = np.where( lyafile == alllyafile )[0]
templateid = alllyahdu[these] - 1 # templateid is 0-indexed
flux1, _, meta1 = get_spectra(lyafile, templateid=templateid, normfilter=data['FILTERNAME'],
rand=self.rand, qso=self.lya_templates, nocolorcuts=True)
meta1['SUBTYPE'] = 'LYA'
meta[lya[these]] = meta1
flux[lya[these], :] = flux1
else : # new format
# read skewers
skewer_wave=None
skewer_trans=None
skewer_meta=None
# all the files that contain at least one QSO skewer
alllyafile = data['LYAFILES'][ilya]
uniquelyafiles = sorted(set(alllyafile))
for lyafile in uniquelyafiles :
these = np.where( alllyafile == lyafile )[0]
objid_in_data=data['OBJID'][ilya][these]
objid_in_mock=(fitsio.read(lyafile, columns=['MOCKID'],upper=True,ext=1).astype(float)).astype(int)
o2i=dict()
for i,o in enumerate(objid_in_mock) :
o2i[o]=i
indices_in_mock_healpix=np.zeros(objid_in_data.size).astype(int)
for i,o in enumerate(objid_in_data) :
if not o in o2i :
log.error("No MOCKID={} in {}. It's a bug, should never happen".format(o,lyafile))
raise(KeyError("No MOCKID={} in {}. It's a bug, should never happen".format(o,lyafile)))
indices_in_mock_healpix[i]=o2i[o]
tmp_wave,tmp_trans,tmp_meta = read_lya_skewers(lyafile,indices=indices_in_mock_healpix)
if skewer_wave is None :
skewer_wave=tmp_wave
dw=skewer_wave[1]-skewer_wave[0] # this is just to check same wavelength
skewer_trans=np.zeros((nqso,skewer_wave.size)) # allocate skewer_array
skewer_meta=dict()
for k in tmp_meta.dtype.names :
skewer_meta[k]=np.zeros(nqso).astype(tmp_meta[k].dtype)
else :
# check wavelength is the same for all skewers
assert(np.max(np.abs(wave-tmp_wave))<0.001*dw)
skewer_trans[these] = tmp_trans
for k in skewer_meta.keys() :
skewer_meta[k][these]=tmp_meta[k]
# check we matched things correctly
assert(np.max(np.abs(skewer_meta["Z"]-data['Z'][ilya]))<0.000001)
assert(np.max(np.abs(skewer_meta["RA"]-data['RA'][ilya]))<0.000001)
assert(np.max(np.abs(skewer_meta["DEC"]-data['DEC'][ilya]))<0.000001)
# now we create a series of QSO spectra all at once
# this is faster than calling each one at a time
# we use the provided QSO template class
seed = self.rand.randint(2**32)
qso = self.lya_templates
qso_flux, qso_wave, qso_meta = qso.make_templates(nmodel=nqso,
redshift=data['Z'][ilya],
mag=data['MAG'][ilya],
seed=seed,
lyaforest=False,
nocolorcuts=True)
# apply transmission to QSOs
qso_flux = apply_lya_transmission(qso_wave,qso_flux,skewer_wave,skewer_trans)
# save this
qso_meta['SUBTYPE'] = 'LYA'
meta[lya] = qso_meta
flux[lya, :] = qso_flux
else:
raise ValueError('Unrecognized mockformat {}!'.format(mockformat))
return flux, meta
