def set_defaults(**kwargs):
"""
Set defaults of this module
If you give no keyword arguments, the default values will be reset.
"""
clear_memoization(keys=['ivs.sed.ld'])
if not kwargs:
kwargs = dict(
grid='kurucz',
odfnew=True,
z=+0.0,
vturb=2,
alpha=False,
nover=False, # KURUCZ
He=97, # WD
t=1.0,
a=0.0,
c=0.5,
m=1.0,
co=1.05) # MARCS and COMARCS
for key in kwargs:
if key in defaults:
defaults[key] = kwargs[key]
logger.info('Set %s to %s' % (key, kwargs[key]))
def set_defaults(**kwargs):
"""
Set defaults of this module
If you give no keyword arguments, the default values will be reset.
"""
clear_memoization(keys=["ivs.sed.ld"])
if not kwargs:
kwargs = dict(
grid="kurucz",
odfnew=True,
z=+0.0,
vturb=2,
alpha=False,
nover=False, # KURUCZ
He=97, # WD
t=1.0,
a=0.0,
c=0.5,
m=1.0,
co=1.05,
) # MARCS and COMARCS
for key in kwargs:
if key in defaults:
defaults[key] = kwargs[key]
logger.info("Set %s to %s" % (key, kwargs[key]))
def _get_itable_markers(photband,
gridfile,
teffrange=(-np.inf, np.inf),
loggrange=(-np.inf, np.inf)):
"""
Get a list of markers to more easily retrieve integrated fluxes.
"""
clear_memoization()
ff = pf.open(gridfile)
ext = ff[photband]
columns = ext.columns.names
names = ['teff', 'logg']
grid = [ext.data.field('teff'), ext.data.field('logg')]
if 'ebv' in columns:
names.append('ebv')
grid.append(ext.data.field('ebv'))
if 'vrad' in columns:
names.append('vrad')
grid.append(ext.data.field('vrad'))
grid_axes = [np.sort(list(set(i))) for i in grid]
# -- we construct an array representing the teff-logg-ebv content, but
# in one number: 50000400 means:
# T=50000,logg=4.0
N = len(grid[0])
markers = np.zeros(N, float)
gridpnts = np.zeros((N, len(grid)))
pars = np.zeros((N, 5))
for i, entries in enumerate(zip(*grid)):
markers[i] = encode(
**{key: entry
for key, entry in zip(names, entries)})
gridpnts[i] = entries
pars[i] = list(ext.data[i][-5:])
ff.close()
sa = np.argsort(markers)
print('read in gridfile', gridfile)
pars[:, -1] = np.log10(pars[:, -1])
return markers[sa], grid_axes, gridpnts[sa], pars[sa]
def _get_itable_markers(photband,gridfile,
teffrange=(-np.inf,np.inf),loggrange=(-np.inf,np.inf)):
"""
Get a list of markers to more easily retrieve integrated fluxes.
"""
clear_memoization()
ff = pf.open(gridfile)
ext = ff[photband]
columns = ext.columns.names
names = ['teff','logg']
grid = [ext.data.field('teff'),
ext.data.field('logg')]
if 'ebv' in columns:
names.append('ebv')
grid.append(ext.data.field('ebv'))
if 'vrad' in columns:
names.append('vrad')
grid.append(ext.data.field('vrad'))
grid_axes = [np.sort(list(set(i))) for i in grid]
#-- we construct an array representing the teff-logg-ebv content, but
# in one number: 50000400 means:
# T=50000,logg=4.0
N = len(grid[0])
markers = np.zeros(N,float)
gridpnts = np.zeros((N,len(grid)))
pars = np.zeros((N,5))
for i,entries in enumerate(zip(*grid)):
markers[i] = encode(**{key:entry for key,entry in zip(names,entries)})
gridpnts[i]= entries
pars[i] = list(ext.data[i][-5:])
ff.close()
sa = np.argsort(markers)
print 'read in gridfile',gridfile
pars[:,-1] = np.log10(pars[:,-1])
return markers[sa],grid_axes,gridpnts[sa],pars[sa]