def test_elem_calib_outsiderange_dwarfs():
#Test that the elem calibration does not extend outside of the calibration
#temperature range
from apogee.tools import _ELEM_SYMBOL
elems = [e.capitalize() for e in _ELEM_SYMBOL if e != 'ci' and e != 'tiii']
TeffMin = 3800.
TeffMax = 7500.
dwarfs= (_DATA['FPARAM'][:,paramIndx('logg')] >= (2./1300.\
*(_DATA['FPARAM'][:,paramIndx('teff')]-3500.)+2.))\
+(_DATA['FPARAM'][:,paramIndx('logg')] >= 4.)\
+(_DATA['FPARAM'][:,paramIndx('teff')] >= 7000.)
for elem in elems:
calibDiff= _DATA['FELEM'][:,elemIndx(elem)]\
-_DATA['ELEM'][:,elemIndx(elem)]
#Only consider good stars for this element
indx= ((_DATA['ASPCAPFLAG'] & 2**23) == 0)\
*(_DATA['FPARAM'][:,paramIndx('teff')] > -1000.)\
*dwarfs\
*(_DATA['FELEM'][:,elemIndx(elem)] > -1000.)\
*(_DATA['ELEM'][:,elemIndx(elem)] > -1000.)
try:
loTIndx = numpy.argmin(
numpy.fabs(_DATA['FPARAM'][indx, paramIndx('teff')] - TeffMin))
except ValueError:
pass
else:
assert numpy.all(
numpy.fabs(calibDiff[indx][
_DATA['FPARAM'][indx, paramIndx('teff')] < TeffMin] -
calibDiff[indx][loTIndx]) < 10.**-3.
), 'Calibration offset does not saturate below the minimum calibration temperature of %i for element %s' % (
TeffMin, elem)
try:
hiTIndx = numpy.argmin(
numpy.fabs(_DATA['FPARAM'][indx, paramIndx('teff')] - TeffMax))
except ValueError:
pass
else:
assert numpy.all(
numpy.fabs(calibDiff[indx][
_DATA['FPARAM'][indx, paramIndx('teff')] > TeffMax] -
calibDiff[indx][hiTIndx]) < 10.**-2.
), 'Calibration offset does not saturate above the maximum calibration temperature of %i for element %s' % (
TeffMax, elem)
return None
def test_elem_err_named():
#Test that the named tags for the elements correspond to the correct values in elem according to ELEM_SYMBOL
elems= ['C','N','O','Mg','Si','S','Ca','Ti',
'Ni','Fe','Al','K','Na','V','Mn']
for ii,elem in enumerate(elems):
errDiff= _DATA['ELEM_ERR'][:,elemIndx(elem)]\
-_DATA[elem.upper()+'_H_ERR']
assert numpy.all(numpy.fabs(errDiff) < 10.**-10.), 'ELEM_ERR value for %s_H_ERR does not agree with named tag' % elem
return None
def test_elem_err_named():
#Test that the named tags for the elements correspond to the correct values in elem according to ELEM_SYMBOL
elems= ['C','N','O','Mg','Si','S','Ca','Ti',
'Ni','Fe','Al','K','Na','V','Mn']
for ii,elem in enumerate(elems):
errDiff= _DATA['ELEM_ERR'][:,elemIndx(elem)]\
-_DATA[elem.upper()+'_H_ERR']
assert numpy.all(numpy.fabs(errDiff) < 10.**-10.), 'ELEM_ERR value for %s_H_ERR does not agree with named tag' % elem
return None
def test_elem_err_named():
#Test that the named tags for the elements correspond to the correct values in elem according to ELEM_SYMBOL
from apogee.tools import _ELEM_SYMBOL
elems= [e.capitalize() for e in _ELEM_SYMBOL if e != 'ci' and e != 'tiii']
for ii,elem in enumerate(elems):
errDiff= _DATA['ELEM_ERR'][:,elemIndx(elem)]\
-_DATA[elem.upper()+'_H_ERR']
assert numpy.all(numpy.fabs(errDiff) < 10.**-10.), 'ELEM_ERR value for %s_H_ERR does not agree with named tag' % elem
return None
def test_elem_err_named():
#Test that the named tags for the elements correspond to the correct values in elem according to ELEM_SYMBOL
from apogee.tools import _ELEM_SYMBOL
elems= [e.capitalize() for e in _ELEM_SYMBOL if e != 'ci' and e != 'tiii']
for ii,elem in enumerate(elems):
errDiff= _DATA['ELEM_ERR'][:,elemIndx(elem)]\
-_DATA[elem.upper()+'_H_ERR']
assert numpy.all(numpy.fabs(errDiff) < 10.**-10.), 'ELEM_ERR value for %s_H_ERR does not agree with named tag' % elem
return None
def test_elem_named():
#Test that the named tags for the elements correspond to the correct values in elem according to ELEM_SYMBOL
elems= ['C','N','O','Mg','Si','S','Ca','Ti',
'Ni','Fe','Al','K','Na','V','Mn']
ferreOverM= ['C','N','O','Mg','Si','S','Ca','Ti']
for ii,elem in enumerate(elems):
elemval= copy.copy(_DATA['ELEM'][:,elemIndx(elem)])
if elem in ferreOverM: elemval+= _DATA['FPARAM'][:,paramIndx('metals')]
#BOVY: What about the following?
goodIndx= _DATA['FPARAM'][:,paramIndx('metals')] != -9999.
assert numpy.all(numpy.fabs(elemval[goodIndx]-_DATA[elem.upper()+'_H'][goodIndx]) < 10.**-10.), 'ELEM value for %s_H does not agree with named tag' % elem
return None
def test_elem_named():
#Test that the named tags for the elements correspond to the correct values in elem according to ELEM_SYMBOL
from apogee.tools import _ELEM_SYMBOL
elems= [e.capitalize() for e in _ELEM_SYMBOL if e != 'ci' and e != 'tiii']
ferreOverM= ['C','N','O','Mg','Si','S','Ca','Ti']
for ii,elem in enumerate(elems):
if elem == 'C' or elem == 'N' or elem == 'O': continue
elemval= copy.copy(_DATA['ELEM'][:,elemIndx(elem)])
if elem in ferreOverM: elemval+= _DATA['FPARAM'][:,paramIndx('metals')]
#BOVY: What about the following?
goodIndx= (_DATA['FPARAM'][:,paramIndx('metals')] != -9999.)\
*(_DATA[elem.upper()+'_H'] != -9999.)
assert numpy.all(numpy.fabs(elemval[goodIndx]-_DATA[elem.upper()+'_H'][goodIndx]) < 10.**-10.), 'ELEM value for %s_H does not agree with named tag' % elem
return None
def test_elem_named():
#Test that the named tags for the elements correspond to the correct values in elem according to ELEM_SYMBOL
from apogee.tools import _ELEM_SYMBOL
elems= [e.capitalize() for e in _ELEM_SYMBOL if e != 'ci' and e != 'tiii']
ferreOverM= ['C','N','O','Mg','Si','S','Ca','Ti']
for ii,elem in enumerate(elems):
if elem == 'C' or elem == 'N' or elem == 'O': continue
elemval= copy.copy(_DATA['ELEM'][:,elemIndx(elem)])
if elem in ferreOverM: elemval+= _DATA['FPARAM'][:,paramIndx('metals')]
#BOVY: What about the following?
goodIndx= (_DATA['FPARAM'][:,paramIndx('metals')] != -9999.)\
*(_DATA[elem.upper()+'_H'] != -9999.)
assert numpy.all(numpy.fabs(elemval[goodIndx]-_DATA[elem.upper()+'_H'][goodIndx]) < 10.**-10.), 'ELEM value for %s_H does not agree with named tag' % elem
return None
def test_elem_calib_outsiderange_dwarfs():
#Test that the elem calibration does not extend outside of the calibration
#temperature range
from apogee.tools import _ELEM_SYMBOL
elems= [e.capitalize() for e in _ELEM_SYMBOL if e != 'ci' and e != 'tiii']
TeffMin= 3800.
TeffMax= 7500.
dwarfs= (_DATA['FPARAM'][:,paramIndx('logg')] >= (2./1300.\
*(_DATA['FPARAM'][:,paramIndx('teff')]-3500.)+2.))\
+(_DATA['FPARAM'][:,paramIndx('logg')] >= 4.)\
+(_DATA['FPARAM'][:,paramIndx('teff')] >= 7000.)
for elem in elems:
calibDiff= _DATA['FELEM'][:,elemIndx(elem)]\
-_DATA['ELEM'][:,elemIndx(elem)]
#Only consider good stars for this element
indx= ((_DATA['ASPCAPFLAG'] & 2**23) == 0)\
*(_DATA['FPARAM'][:,paramIndx('teff')] > -1000.)\
*dwarfs\
*(_DATA['FELEM'][:,elemIndx(elem)] > -1000.)\
*(_DATA['ELEM'][:,elemIndx(elem)] > -1000.)
try:
loTIndx= numpy.argmin(numpy.fabs(_DATA['FPARAM'][indx,
paramIndx('teff')]
-TeffMin))
except ValueError:
pass
else:
assert numpy.all(numpy.fabs(calibDiff[indx][_DATA['FPARAM'][indx,paramIndx('teff')] < TeffMin]-calibDiff[indx][loTIndx]) < 10.**-3.), 'Calibration offset does not saturate below the minimum calibration temperature of %i for element %s' % (TeffMin,elem)
try:
hiTIndx= numpy.argmin(numpy.fabs(_DATA['FPARAM'][indx,
paramIndx('teff')]
-TeffMax))
except ValueError:
pass
else:
assert numpy.all(numpy.fabs(calibDiff[indx][_DATA['FPARAM'][indx,paramIndx('teff')] > TeffMax]-calibDiff[indx][hiTIndx]) < 10.**-2.), 'Calibration offset does not saturate above the maximum calibration temperature of %i for element %s' % (TeffMax,elem)
return None
def test_elem_calib_outsiderange():
#Test that the elem calibration does not extend outside of the calibration
#temperature range
elems= ['C','N','O','Mg','Si','S','Ca','Ti',
'Ni','Fe','Al','K','Na','V','Mn']
TeffMin= 3800.
TeffMax= 5250.
for elem in elems:
calibDiff= _DATA['FELEM'][:,elemIndx(elem)]\
-_DATA['ELEM'][:,elemIndx(elem)]
#Only consider good stars for this element
indx= ((_DATA['ASPCAPFLAG'] & 2**23) == 0)\
*(_DATA['FPARAM'][:,paramIndx('teff')] > -1000.)\
*(_DATA['FELEM'][:,elemIndx(elem)] > -1000.)\
*(_DATA['ELEM'][:,elemIndx(elem)] > -1000.)
loTIndx= numpy.argmin(numpy.fabs(_DATA['FPARAM'][indx,
paramIndx('teff')]
-TeffMin))
hiTIndx= numpy.argmin(numpy.fabs(_DATA['FPARAM'][indx,
paramIndx('teff')]
-TeffMax))
assert numpy.all(numpy.fabs(calibDiff[indx][_DATA['FPARAM'][indx,paramIndx('teff')] < TeffMin]-calibDiff[indx][loTIndx]) < 10.**-3.), 'Calibration offset does not saturate below the minimum calibration temperature of %i for element %s' % (TeffMin,elem)
assert numpy.all(numpy.fabs(calibDiff[indx][_DATA['FPARAM'][indx,paramIndx('teff')] > TeffMax]-calibDiff[indx][hiTIndx]) < 10.**-2.), 'Calibration offset does not saturate above the maximum calibration temperature of %i for element %s' % (TeffMax,elem)
return None
def test_elem_calib_outsiderange():
#Test that the elem calibration does not extend outside of the calibration
#temperature range
elems= ['C','N','O','Mg','Si','S','Ca','Ti',
'Ni','Fe','Al','K','Na','V','Mn']
TeffMin= 3800.
TeffMax= 5250.
for elem in elems:
calibDiff= _DATA['FELEM'][:,elemIndx(elem)]\
-_DATA['ELEM'][:,elemIndx(elem)]
#Only consider good stars for this element
indx= ((_DATA['ASPCAPFLAG'] & 2**23) == 0)\
*(_DATA['FPARAM'][:,paramIndx('teff')] > -1000.)\
*(_DATA['FELEM'][:,elemIndx(elem)] > -1000.)\
*(_DATA['ELEM'][:,elemIndx(elem)] > -1000.)
loTIndx= numpy.argmin(numpy.fabs(_DATA['FPARAM'][indx,
paramIndx('teff')]
-TeffMin))
hiTIndx= numpy.argmin(numpy.fabs(_DATA['FPARAM'][indx,
paramIndx('teff')]
-TeffMax))
assert numpy.all(numpy.fabs(calibDiff[indx][_DATA['FPARAM'][indx,paramIndx('teff')] < TeffMin]-calibDiff[indx][loTIndx]) < 10.**-3.), 'Calibration offset does not saturate below the minimum calibration temperature of %i for element %s' % (TeffMin,elem)
assert numpy.all(numpy.fabs(calibDiff[indx][_DATA['FPARAM'][indx,paramIndx('teff')] > TeffMax]-calibDiff[indx][hiTIndx]) < 10.**-2.), 'Calibration offset does not saturate above the maximum calibration temperature of %i for element %s' % (TeffMax,elem)
return None
