def apogeerc(dr=14, verbose=True, spider=False):
filePath = path.apogeercPath(dr=dr)
if os.path.exists(filePath): return None
_download_file(\
'https://data.sdss.org/sas/dr%i/apogee/vac/apogee-rc/cat/apogee-rc-DR%i.fits' % (dr,dr),
filePath,verbose=verbose,spider=spider)
return None
def apogeerc(**kwargs):
"""
NAME:
apogeerc
PURPOSE:
read the APOGEE RC data
INPUT:
IF the apogee package is not installed:
dr= (13) SDSS data release
ELSE you can use the same keywords as apogee.tools.read.rcsample:
main= (default: False) if True, only select stars in the main survey
dr= data reduction to load the catalog for (automatically set based on APOGEE_REDUX if not given explicitly)
OUTPUT:
APOGEE RC sample data
HISTORY:
2013-10-08 - Written - Bovy (IAS)
"""
if not _APOGEE_LOADED:
warnings.warn(
"Falling back on simple APOGEE interface; for more functionality, install the jobovy/apogee package"
)
dr = kwargs.get('dr', 13)
filePath = path.apogeercPath(dr=dr)
if not os.path.exists(filePath):
download.apogeerc(dr=dr)
return fitsio.read(filePath, 1)
else:
return apread.rcsample(**kwargs)
def apogeerc(xmatch=None, **kwargs):
"""
NAME:
apogeerc
PURPOSE:
read the APOGEE RC data
INPUT:
IF the apogee package is not installed:
dr= (14) SDSS data release
ELSE you can use the same keywords as apogee.tools.read.rcsample:
main= (default: False) if True, only select stars in the main survey
dr= data reduction to load the catalog for (automatically set based on APOGEE_REDUX if not given explicitly)
ALWAYS ALSO
xmatch= (None) if set, cross-match against a Vizier catalog (e.g., vizier:I/345/gaia2 for Gaia DR2) using gaia_tools.xmatch.cds and return the overlap
+gaia_tools.xmatch.cds keywords
OUTPUT:
APOGEE RC sample data[,xmatched table]
HISTORY:
2013-10-08 - Written - Bovy (IAS)
2018-05-09 - Add xmatch - Bovy (UofT)
"""
if not _APOGEE_LOADED:
warnings.warn(
"Falling back on simple APOGEE interface; for more functionality, install the jobovy/apogee package"
)
dr = kwargs.get('dr', 14)
filePath = path.apogeercPath(dr=dr)
if not os.path.exists(filePath):
download.apogeerc(dr=dr)
data = fitsread(filePath, 1)
if not xmatch is None:
ma, mai = _xmatch_cds(data, xmatch, filePath, **kwargs)
return (data[mai], ma)
else:
return data
else:
kwargs['xmatch'] = xmatch
return apread.rcsample(**kwargs)