def load_templates(v="vmatrix.default.dat",
l="lambda.default.dat",
templates_dir='data/templates'):
vfile = os.path.join(os.environ['KCORRECT_DIR'], templates_dir, v)
if not os.path.isfile(vfile):
raise _kcorrect.error('file: %s not found'%vfile)
lfile = os.path.join(os.environ['KCORRECT_DIR'], templates_dir, l)
if not os.path.isfile(lfile):
raise _kcorrect.error('file: %s not found'%lfile)
_kcorrect.load_templates(vfile, lfile)
def load_templates(v="vmatrix.default.dat",
l="lambda.default.dat",
templates_dir='data/templates'):
vfile = os.path.join(os.environ['KCORRECT_DIR'], templates_dir, v)
if not os.path.isfile(vfile):
raise _kcorrect.error('file: %s not found' % vfile)
lfile = os.path.join(os.environ['KCORRECT_DIR'], templates_dir, l)
if not os.path.isfile(lfile):
raise _kcorrect.error('file: %s not found' % lfile)
_kcorrect.load_templates(vfile, lfile)
def read_basel(solarname, silent=False):
"""
Read a spectrum from a Basel spectrum file.
"""
filename = os.path.join(
os.getenv('KCORRECT_DIR'), 'data/basel', solarname)
if not os.path.isfile(filename):
raise _kcorrect.error('%s not found'%filename)
with open(filename,'r') as f:
returndata = {'flux':[], 'model':[], 'teff':[], 'logg':[], 'mh':[],
'vturb':[], 'xh':[]}
rawdata = f.read()
alldata = rawdata.replace("\n", '').split()
returndata['wavelength'] = numpy.array(alldata[0:1221], dtype=numpy.float32)
del alldata[0:1221]
nunits = int(len(alldata)/(1227))
if not silent:
print ("%d block(s) of spectra" % nunits)
for u in range(nunits):
returndata['model'].append(int(alldata[0]))
returndata['teff'].append(int(alldata[1]))
returndata['logg'].append(float(alldata[2]))
returndata['mh'].append(float(alldata[3]))
returndata['vturb'].append(float(alldata[4]))
returndata['xh'].append(float(alldata[5]))
returndata['flux'].append(numpy.array(alldata[6:1227], dtype=numpy.float32))
del alldata[0:1227]
return returndata
def fit_coeffs(c):
c = numpy.array(c, dtype='float32')
if len(c) == 11:
return _kcorrect.fit_coeffs(c)
else:
raise _kcorrect.error(
'for this deault sdss filters, number of argument should be 11')
def load_filters(f="sdss_filters.dat",
band_shift=0.,
filters_dir='data/templates'):
ffile = os.path.join(os.environ['KCORRECT_DIR'], filters_dir, f)
if not os.path.isfile(ffile):
raise _kcorrect.error('file: %s not found' % ffile)
_kcorrect.load_filters(ffile, band_shift)
def project_filters(wavelength, flux, band_shift=0.,
filterlist='sdss_filters.dat',
filterlist_dir='data/templates',
zmin=0., zmax=1.,nz=100):
filename = os.path.join(
os.getenv('KCORRECT_DIR'), filterlist_dir, filterlist)
if not os.path.isfile(filename):
raise _kcorrect.error('filter list %s not found.'%filename)
return _kcorrect.projection_table(wavelength, flux, \
band_shift, \
filename, \
zmin, zmax, nz)
def project_filters(wavelength,
flux,
band_shift=0.,
filterlist='sdss_filters.dat',
filterlist_dir='data/templates',
zmin=0.,
zmax=1.,
nz=100):
filename = os.path.join(os.getenv('KCORRECT_DIR'), filterlist_dir,
filterlist)
if not os.path.isfile(filename):
raise _kcorrect.error('filter list %s not found.' % filename)
return _kcorrect.projection_table(wavelength, flux, \
band_shift, \
filename, \
zmin, zmax, nz)
def read_basel(solarname, silent=False):
"""
Read a spectrum from a Basel spectrum file.
"""
filename = os.path.join(os.getenv('KCORRECT_DIR'), 'data/basel', solarname)
if not os.path.isfile(filename):
raise _kcorrect.error('%s not found' % filename)
with open(filename, 'r') as f:
returndata = {
'flux': [],
'model': [],
'teff': [],
'logg': [],
'mh': [],
'vturb': [],
'xh': []
}
rawdata = f.read()
alldata = rawdata.replace("\n", '').split()
returndata['wavelength'] = numpy.array(alldata[0:1221],
dtype=numpy.float32)
del alldata[0:1221]
nunits = int(len(alldata) / (1227))
if not silent:
print("%d block(s) of spectra" % nunits)
for u in range(nunits):
returndata['model'].append(int(alldata[0]))
returndata['teff'].append(int(alldata[1]))
returndata['logg'].append(float(alldata[2]))
returndata['mh'].append(float(alldata[3]))
returndata['vturb'].append(float(alldata[4]))
returndata['xh'].append(float(alldata[5]))
returndata['flux'].append(
numpy.array(alldata[6:1227], dtype=numpy.float32))
del alldata[0:1227]
return returndata
def template(t, templates_dir='data/templates'):
tfile = os.path.join(os.environ['KCORRECT_DIR'], templates_dir, t)
if not os.path.isfile(tfile):
raise _kcorrect.error('file: %s not found' % tfile)
return _kcorrect.template(tfile)
def template(t, templates_dir='data/templates'):
tfile = os.path.join(os.environ['KCORRECT_DIR'], templates_dir, t)
if not os.path.isfile(tfile):
raise _kcorrect.error('file: %s not found'%tfile)
return _kcorrect.template(tfile)
def fit_coeffs(c):
c = numpy.array(c, dtype='float32')
if len(c) == 11:
return _kcorrect.fit_coeffs(c)
else:
raise _kcorrect.error('for this deault sdss filters, number of argument should be 11')
def load_filters(f="sdss_filters.dat", band_shift=0.,
filters_dir='data/templates'):
ffile = os.path.join(os.environ['KCORRECT_DIR'], filters_dir, f)
if not os.path.isfile(ffile):
raise _kcorrect.error('file: %s not found'%ffile)
_kcorrect.load_filters(ffile, band_shift)
