def photdump(files, output):
'''dump photometric information in the given list of
photometry files into output
output can be either a file-like object open for writing, or a string,
if it is a string it is the path to a file, which is then opened in 'w'
mode.
photdump returns the (still open) file object when done.
it dumpst the following fields in the given order:
id
ifilter
otime (observation time)
magnitude
airmass
'''
irafmod.check_init("can't dump")
iraf = irafmod.iraf
if isinstance(output, str):
output = open(output, 'w')
for pfile in files:
iraf.pdump(pfile, FIELD_STR, iraf.yes, Stdout=output)
return output
def sortphotfiles(folder, suffix=".nst.1"):
'''sort all of the phot files in \p folder
by id. They must end in \p suffix, which defaults to
.nst.1'''
irafmod.check_init("can't sort")
irafmod.iraf.psort(os.path.join(folder, "*" + suffix), 'id')
return
def phot(imageName,
output_dir,
coordFile,
target_coords=None,
sample_size=100,
params=None,
observat=observatories.default,
**kwargs):
'''perform daophot on imageName with the supplied
coordinate file, and optionally the target coordinates, which
defaults to the first coordinates in coordFile
sample_size is the size of the sample box used for background measurement
kwargs are additional args to pass to constructor for params (or update params)'''
#first ensure that irafmod has been initialized
irafmod.check_init("unable to phot")
daophot = irafmod.iraf.daophot
#first get the paramaters we need
if not params:
params = getDAOParams(observat,
imageName,
coordFile,
target_coords,
size=sample_size)
params.update(kwargs)
params.applyParams()
with workingDirectory(output_dir):
#temporarily change working directory
logger.debug("in working directory: " + os.getcwd())
logger.debug("Setting HJD")
irafmod.iraf.setjd(imageName)
logger.debug("starting phot")
daophot.phot(imageName, coordFile, "default")
logger.debug("starting pstselect")
#params: image, photfile, pstfile, maxnpsf
daophot.pstselect(imageName, "default", "default", 25)
#params: imagename photfile pstfile psfimage opstfile groupfile
daophot.psf(imageName,
"default",
"default",
"default",
"default",
"default",
interactive=irafmod.no)
#TODO should we be more sophisticated and do multiple runs of psf
#along with using nstar and substar to try and get best fit?
#use nstar for now, but we will make it a seperate function
#so it is easy to switch out with peak or allstar
#if we desire later
do_nstar(imageName)
def photdump_all(globber, output):
'''similar to photdump, except that instead
of a list of files, it takes a string, which is a
glob expression for the files to use,
ex. *.nst.1'''
irafmod.check_init("can't dump")
iraf = irafmod.iraf
if isinstance(output, str):
output = open(output, 'w')
iraf.pdump(globber, FIELD_STR, iraf.yes, Stdout=output)
return output
def applyParams(self):
'''apply paramaters for daophot'''
irafmod.check_init("DAO_params.applyParams")
iraf = irafmod.iraf
#photpars
iraf.photpars.aperture = self.aperture
iraf.photpars.zmag = self['zmag']
#set world coordinates as input for phot
iraf.phot.wcsin = "world"
#datapars
iraf.datapars.fwhmpsf = self['fwhm']
iraf.datapars.sigma = self.get('sigma', 0)
iraf.datapars.datamax = self.datamax
iraf.datapars.datamin = self.datamin
iraf.datapars.obstime = self['otime']
iraf.datapars.exposure = self['exposure']
iraf.datapars.airmass = self['airmass']
iraf.datapars.filter = self['filter']
#centerpars
iraf.centerpars.cbox = self.cbox
iraf.centerpars.calgorithm = self.get('calgorithm', 'centroid')
#fitskypars
iraf.fitskypars.annulus = self.annulus
iraf.fitskypars.dannulus = self.dannulus
iraf.fitskypars.salgorithm = self.get('salgorithm', 'mode')
#daopars
iraf.daopars.psfrad = 4.0 * self['fwhm'] + 1.0
iraf.daopars.fitrad = self.aperture
#psfpars
iraf.psf.function = self['fitfunction']
#make sure we are using default logical coordinate system
#for everything except the phot command
iraf.daophot.wcsin = "logical"
iraf.daophot.wcsout = "logical"
iraf.daophot.verify = iraf.no
# setjd paramaters
iraf.observatory.observatory = self['observat']
iraf.setjd.date = self['obsdate']
iraf.setjd.time = self['obstime']
iraf.setjd.observatory = self['observat']
iraf.setjd.exposur = self['exposure']
iraf.setjd.epoch = self['epoch']
iraf.setjd.ra = self['ra_key']
iraf.setjd.dec = self['dec_key']
def applyParams(self):
"""apply paramaters for daophot"""
irafmod.check_init("DAO_params.applyParams")
iraf = irafmod.iraf
# photpars
iraf.photpars.aperture = self.aperture
iraf.photpars.zmag = self["zmag"]
# set world coordinates as input for phot
iraf.phot.wcsin = "world"
# datapars
iraf.datapars.fwhmpsf = self["fwhm"]
iraf.datapars.sigma = self.get("sigma", 0)
iraf.datapars.datamax = self.datamax
iraf.datapars.datamin = self.datamin
iraf.datapars.obstime = self["otime"]
iraf.datapars.exposure = self["exposure"]
iraf.datapars.airmass = self["airmass"]
iraf.datapars.filter = self["filter"]
# centerpars
iraf.centerpars.cbox = self.cbox
iraf.centerpars.calgorithm = self.get("calgorithm", "centroid")
# fitskypars
iraf.fitskypars.annulus = self.annulus
iraf.fitskypars.dannulus = self.dannulus
iraf.fitskypars.salgorithm = self.get("salgorithm", "mode")
# daopars
iraf.daopars.psfrad = 4.0 * self["fwhm"] + 1.0
iraf.daopars.fitrad = self.aperture
# psfpars
iraf.psf.function = self["fitfunction"]
# make sure we are using default logical coordinate system
# for everything except the phot command
iraf.daophot.wcsin = "logical"
iraf.daophot.wcsout = "logical"
iraf.daophot.verify = iraf.no
# setjd paramaters
iraf.observatory.observatory = self["observat"]
iraf.setjd.date = self["obsdate"]
iraf.setjd.time = self["obstime"]
iraf.setjd.observatory = self["observat"]
iraf.setjd.exposur = self["exposure"]
iraf.setjd.epoch = self["epoch"]
iraf.setjd.ra = self["ra_key"]
iraf.setjd.dec = self["dec_key"]
def phot(imageName, output_dir,coordFile, target_coords=None,
sample_size=100,params=None,observat=observatories.default,**kwargs):
'''perform daophot on imageName with the supplied
coordinate file, and optionally the target coordinates, which
defaults to the first coordinates in coordFile
sample_size is the size of the sample box used for background measurement
kwargs are additional args to pass to constructor for params (or update params)'''
#first ensure that irafmod has been initialized
irafmod.check_init("unable to phot")
daophot = irafmod.iraf.daophot
#first get the paramaters we need
if not params:
params = getDAOParams(observat,imageName, coordFile,
target_coords, size=sample_size)
params.update(kwargs)
params.applyParams()
with workingDirectory(output_dir):
#temporarily change working directory
logger.debug("in working directory: "+os.getcwd())
logger.debug("Setting HJD")
irafmod.iraf.setjd(imageName)
logger.debug("starting phot")
daophot.phot(imageName,coordFile,"default")
logger.debug("starting pstselect")
#params: image, photfile, pstfile, maxnpsf
daophot.pstselect(imageName,"default","default",25)
#params: imagename photfile pstfile psfimage opstfile groupfile
daophot.psf(imageName,"default","default","default","default","default",
interactive=irafmod.no)
#TODO should we be more sophisticated and do multiple runs of psf
#along with using nstar and substar to try and get best fit?
#use nstar for now, but we will make it a seperate function
#so it is easy to switch out with peak or allstar
#if we desire later
do_nstar(imageName)
