def get_photometry(ID=None,extra_fields=['_r','_RAJ2000','_DEJ2000'],**kwargs):
"""
Download all available photometry from a star to a record array.
For extra kwargs, see L{_get_URI} and L{mast2phot}
"""
to_units = kwargs.pop('to_units','erg/s/cm2/AA')
master_ = kwargs.get('master',None)
master = None
#-- retrieve all measurements
for source in cat_info.sections():
if source=='galex':
results,units,comms = galex(ID=ID,**kwargs)
else:
results,units,comms = search(source,ID=ID,**kwargs)
if results is not None:
master = mast2phot(source,results,units,master,extra_fields=extra_fields)
#-- convert the measurement to a common unit.
if to_units and master is not None:
#-- prepare columns to extend to basic master
dtypes = [('cwave','f8'),('cmeas','f8'),('e_cmeas','f8'),('cunit','a50')]
cols = [[],[],[],[]]
#-- forget about 'nan' errors for the moment
no_errors = np.isnan(master['e_meas'])
master['e_meas'][no_errors] = 0.
#-- extend basic master
zp = filters.get_info(master['photband'])
for i in range(len(master)):
try:
value,e_value = conversions.convert(master['unit'][i],to_units,master['meas'][i],master['e_meas'][i],photband=master['photband'][i])
except ValueError: # calibrations not available
value,e_value = np.nan,np.nan
except AssertionError: # postive flux and errors!
value,e_value = np.nan,np.nan
try:
eff_wave = filters.eff_wave(master['photband'][i])
except IOError:
eff_wave = np.nan
cols[0].append(eff_wave)
cols[1].append(value)
cols[2].append(e_value)
cols[3].append(to_units)
master = numpy_ext.recarr_addcols(master,cols,dtypes)
#-- reset errors
master['e_meas'][no_errors] = np.nan
master['e_cmeas'][no_errors] = np.nan
if master_ is not None and master is not None:
master = numpy_ext.recarr_addrows(master_,master.tolist())
elif master_ is not None:
master = master_
#-- and return the results
return master
def get_photometry(ID=None, extra_fields=['dist', 'ra', 'dec'], **kwargs):
"""
Download all available photometry from a star to a record array.
For extra kwargs, see L{_get_URI} and L{gator2phot}
Example usage:
>>> import pylab
>>> import vizier
>>> name = 'kr cam'
>>> master = vizier.get_photometry(name,to_units='erg/s/cm2/AA',extra_fields=[])
>>> master = get_photometry(name,to_units='erg/s/cm2/AA',extra_fields=[],master=master)
>>> p = pylab.figure()
>>> wise = np.array(['WISE' in photband and True or False for photband in master['photband']])
>>> p = pylab.errorbar(master['cwave'],master['cmeas'],yerr=master['e_cmeas'],fmt='ko')
>>> p = pylab.errorbar(master['cwave'][wise],master['cmeas'][wise],yerr=master['e_cmeas'][wise],fmt='ro',ms=8)
>>> p = pylab.gca().set_xscale('log')
>>> p = pylab.gca().set_yscale('log')
>>> p = pylab.show()
Other examples:
>>> master = get_photometry(ra=71.239527,dec=-70.589427,to_units='erg/s/cm2/AA',extra_fields=[],radius=1.)
>>> master = get_photometry(ID='J044458.39-703522.6',to_units='W/m2',extra_fields=[],radius=1.)
"""
kwargs['ID'] = ID
to_units = kwargs.pop('to_units', 'erg/s/cm2/AA')
master_ = kwargs.get('master', None)
master = None
#-- retrieve all measurements
for source in cat_info.sections():
results, units, comms = search(source, **kwargs)
if results is not None:
master = gator2phot(source,
results,
units,
master,
extra_fields=extra_fields)
#-- convert the measurement to a common unit.
if to_units and master is not None:
#-- prepare columns to extend to basic master
dtypes = [('cwave', 'f8'), ('cmeas', 'f8'), ('e_cmeas', 'f8'),
('cunit', 'a50')]
cols = [[], [], [], []]
#-- forget about 'nan' errors for the moment
no_errors = np.isnan(master['e_meas'])
master['e_meas'][no_errors] = 0.
#-- extend basic master
zp = filters.get_info(master['photband'])
for i in range(len(master)):
try:
value, e_value = conversions.convert(
master['unit'][i],
to_units,
master['meas'][i],
master['e_meas'][i],
photband=master['photband'][i])
except ValueError: # calibrations not available
value, e_value = np.nan, np.nan
except AssertionError: # the error or flux must be positive number
value, e_value = np.nan, np.nan
try:
eff_wave = filters.eff_wave(master['photband'][i])
except IOError:
eff_wave = np.nan
cols[0].append(eff_wave)
cols[1].append(value)
cols[2].append(e_value)
cols[3].append(to_units)
master = numpy_ext.recarr_addcols(master, cols, dtypes)
#-- reset errors
master['e_meas'][no_errors] = np.nan
master['e_cmeas'][no_errors] = np.nan
if master_ is not None and master is not None:
master = numpy_ext.recarr_addrows(master_, master.tolist())
elif master_ is not None:
master = master_
#-- and return the results
return master
def get_photometry(ID=None,
extra_fields=['_r', '_RAJ2000', '_DEJ2000'],
**kwargs):
"""
Download all available photometry from a star to a record array.
For extra kwargs, see L{_get_URI} and L{mast2phot}
"""
to_units = kwargs.pop('to_units', 'erg/s/cm2/AA')
master_ = kwargs.get('master', None)
master = None
#-- retrieve all measurements
for source in cat_info.sections():
if source == 'galex':
results, units, comms = galex(ID=ID, **kwargs)
else:
results, units, comms = search(source, ID=ID, **kwargs)
if results is not None:
master = mast2phot(source,
results,
units,
master,
extra_fields=extra_fields)
#-- convert the measurement to a common unit.
if to_units and master is not None:
#-- prepare columns to extend to basic master
dtypes = [('cwave', 'f8'), ('cmeas', 'f8'), ('e_cmeas', 'f8'),
('cunit', 'a50')]
cols = [[], [], [], []]
#-- forget about 'nan' errors for the moment
no_errors = np.isnan(master['e_meas'])
master['e_meas'][no_errors] = 0.
#-- extend basic master
zp = filters.get_info(master['photband'])
for i in range(len(master)):
try:
value, e_value = conversions.convert(
master['unit'][i],
to_units,
master['meas'][i],
master['e_meas'][i],
photband=master['photband'][i])
except ValueError: # calibrations not available
value, e_value = np.nan, np.nan
except AssertionError: # postive flux and errors!
value, e_value = np.nan, np.nan
try:
eff_wave = filters.eff_wave(master['photband'][i])
except IOError:
eff_wave = np.nan
cols[0].append(eff_wave)
cols[1].append(value)
cols[2].append(e_value)
cols[3].append(to_units)
master = numpy_ext.recarr_addcols(master, cols, dtypes)
#-- reset errors
master['e_meas'][no_errors] = np.nan
master['e_cmeas'][no_errors] = np.nan
if master_ is not None and master is not None:
master = numpy_ext.recarr_addrows(master_, master.tolist())
elif master_ is not None:
master = master_
#-- and return the results
return master
def get_photometry(ID=None,extra_fields=[],**kwargs):
"""
Download all available photometry from a star to a record array.
Extra fields will not be useful probably.
For extra kwargs, see L{_get_URI} and L{gcpd2phot}
"""
to_units = kwargs.pop('to_units','erg/s/cm2/AA')
master_ = kwargs.get('master',None)
master = None
#-- retrieve all measurements
for source in cat_info.sections():
results,units,comms = search(source,ID=ID,**kwargs)
if results is not None:
master = gcpd2phot(source,results,units,master,extra_fields=extra_fields)
#-- convert the measurement to a common unit.
if to_units and master is not None:
#-- prepare columns to extend to basic master
dtypes = [('cwave','f8'),('cmeas','f8'),('e_cmeas','f8'),('cunit','a50')]
cols = [[],[],[],[]]
#-- forget about 'nan' errors for the moment
no_errors = np.isnan(master['e_meas'])
master['e_meas'][no_errors] = 0.
#-- extend basic master
try:
zp = filters.get_info(master['photband'])
except:
print master['photband']
raise
for i in range(len(master)):
to_units_ = to_units+''
try:
value,e_value = conversions.convert(master['unit'][i],to_units,master['meas'][i],master['e_meas'][i],photband=master['photband'][i])
except ValueError: # calibrations not available
# if it is a magnitude color, try converting it to a flux ratio
if 'mag' in master['unit'][i]:
try:
value,e_value = conversions.convert('mag_color','flux_ratio',master['meas'][i],master['e_meas'][i],photband=master['photband'][i])
to_units_ = 'flux_ratio'
except ValueError:
value,e_value = np.nan,np.nan
# else, we are powerless...
else:
value,e_value = np.nan,np.nan
try:
eff_wave = filters.eff_wave(master['photband'][i])
except IOError:
eff_wave = np.nan
cols[0].append(eff_wave)
cols[1].append(value)
cols[2].append(e_value)
cols[3].append(to_units_)
master = numpy_ext.recarr_addcols(master,cols,dtypes)
#-- reset errors
master['e_meas'][no_errors] = np.nan
master['e_cmeas'][no_errors] = np.nan
#-- if a master is given as a keyword, and data is found in this module,
# append the two
if master_ is not None and master is not None:
master = numpy_ext.recarr_addrows(master_,master.tolist())
elif master is None:
master = master_
#-- and return the results
return master
def get_photometry(ID=None,extra_fields=['dist','ra','dec'],**kwargs):
"""
Download all available photometry from a star to a record array.
For extra kwargs, see L{_get_URI} and L{gator2phot}
Example usage:
>>> import pylab
>>> import vizier
>>> name = 'kr cam'
>>> master = vizier.get_photometry(name,to_units='erg/s/cm2/AA',extra_fields=[])
>>> master = get_photometry(name,to_units='erg/s/cm2/AA',extra_fields=[],master=master)
>>> p = pylab.figure()
>>> wise = np.array(['WISE' in photband and True or False for photband in master['photband']])
>>> p = pylab.errorbar(master['cwave'],master['cmeas'],yerr=master['e_cmeas'],fmt='ko')
>>> p = pylab.errorbar(master['cwave'][wise],master['cmeas'][wise],yerr=master['e_cmeas'][wise],fmt='ro',ms=8)
>>> p = pylab.gca().set_xscale('log')
>>> p = pylab.gca().set_yscale('log')
>>> p = pylab.show()
Other examples:
>>> master = get_photometry(ra=71.239527,dec=-70.589427,to_units='erg/s/cm2/AA',extra_fields=[],radius=1.)
>>> master = get_photometry(ID='J044458.39-703522.6',to_units='W/m2',extra_fields=[],radius=1.)
"""
kwargs['ID'] = ID
to_units = kwargs.pop('to_units','erg/s/cm2/AA')
master_ = kwargs.get('master',None)
master = None
#-- retrieve all measurements
for source in cat_info.sections():
results,units,comms = search(source,**kwargs)
if results is not None:
master = gator2phot(source,results,units,master,extra_fields=extra_fields)
#-- convert the measurement to a common unit.
if to_units and master is not None:
#-- prepare columns to extend to basic master
dtypes = [('cwave','f8'),('cmeas','f8'),('e_cmeas','f8'),('cunit','a50')]
cols = [[],[],[],[]]
#-- forget about 'nan' errors for the moment
no_errors = np.isnan(master['e_meas'])
master['e_meas'][no_errors] = 0.
#-- extend basic master
zp = filters.get_info(master['photband'])
for i in range(len(master)):
try:
value,e_value = conversions.convert(master['unit'][i],to_units,master['meas'][i],master['e_meas'][i],photband=master['photband'][i])
except ValueError: # calibrations not available
value,e_value = np.nan,np.nan
except AssertionError: # the error or flux must be positive number
value,e_value = np.nan,np.nan
try:
eff_wave = filters.eff_wave(master['photband'][i])
except IOError:
eff_wave = np.nan
cols[0].append(eff_wave)
cols[1].append(value)
cols[2].append(e_value)
cols[3].append(to_units)
master = numpy_ext.recarr_addcols(master,cols,dtypes)
#-- reset errors
master['e_meas'][no_errors] = np.nan
master['e_cmeas'][no_errors] = np.nan
if master_ is not None and master is not None:
master = numpy_ext.recarr_addrows(master_,master.tolist())
elif master_ is not None:
master = master_
#-- and return the results
return master
def get_photometry(ID=None, extra_fields=[], **kwargs):
"""
Download all available photometry from a star to a record array.
Extra fields will not be useful probably.
For extra kwargs, see L{_get_URI} and L{gcpd2phot}
"""
to_units = kwargs.pop('to_units', 'erg/s/cm2/AA')
master_ = kwargs.get('master', None)
master = None
#-- retrieve all measurements
for source in cat_info.sections():
results, units, comms = search(source, ID=ID, **kwargs)
if results is not None:
master = gcpd2phot(source,
results,
units,
master,
extra_fields=extra_fields)
#-- convert the measurement to a common unit.
if to_units and master is not None:
#-- prepare columns to extend to basic master
dtypes = [('cwave', 'f8'), ('cmeas', 'f8'), ('e_cmeas', 'f8'),
('cunit', 'a50')]
cols = [[], [], [], []]
#-- forget about 'nan' errors for the moment
no_errors = np.isnan(master['e_meas'])
master['e_meas'][no_errors] = 0.
#-- extend basic master
try:
zp = filters.get_info(master['photband'])
except:
print master['photband']
raise
for i in range(len(master)):
to_units_ = to_units + ''
try:
value, e_value = conversions.convert(
master['unit'][i],
to_units,
master['meas'][i],
master['e_meas'][i],
photband=master['photband'][i])
except ValueError: # calibrations not available
# if it is a magnitude color, try converting it to a flux ratio
if 'mag' in master['unit'][i]:
try:
value, e_value = conversions.convert(
'mag_color',
'flux_ratio',
master['meas'][i],
master['e_meas'][i],
photband=master['photband'][i])
to_units_ = 'flux_ratio'
except ValueError:
value, e_value = np.nan, np.nan
# else, we are powerless...
else:
value, e_value = np.nan, np.nan
try:
eff_wave = filters.eff_wave(master['photband'][i])
except IOError:
eff_wave = np.nan
cols[0].append(eff_wave)
cols[1].append(value)
cols[2].append(e_value)
cols[3].append(to_units_)
master = numpy_ext.recarr_addcols(master, cols, dtypes)
#-- reset errors
master['e_meas'][no_errors] = np.nan
master['e_cmeas'][no_errors] = np.nan
#-- if a master is given as a keyword, and data is found in this module,
# append the two
if master_ is not None and master is not None:
master = numpy_ext.recarr_addrows(master_, master.tolist())
elif master is None:
master = master_
#-- and return the results
return master
