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from __future__ import division # confidence high
import os.path
from pywcs import WCS
import pyfits
import instruments
from stwcs.distortion import models, coeff_converter
import altwcs
import numpy as np
from pytools import fileutil
from pytools.fileutil import DEGTORAD, RADTODEG
import mappings
from mappings import inst_mappings, ins_spec_kw
from mappings import basic_wcs
__docformat__ = 'restructuredtext'
__version__ = '0.4'
class HSTWCS(WCS):
"""
Purpose
=======
Create a WCS object based on the instrument.
It has all basic WCS kw as attributes (set by pywcs).
It also uses the primary and extension header to define
instrument specific attributes.
"""
def __init__(self, fobj='DEFAULT', ext=None, minerr=0.0, wcskey=" "):
"""
:Parameters:
`fobj`: string or PyFITS HDUList object or None
a file name, e.g j9irw4b1q_flt.fits
a fully qualified filename[EXTNAME,EXTNUM], e.g. j9irw4b1q_flt.fits[sci,1]
a pyfits file object, e.g pyfits.open('j9irw4b1q_flt.fits'), in which case the
user is responsible for closing the file object.
`ext`: int or None
extension number
if ext==None, it is assumed the data is in the primary hdu
`minerr`: float
minimum value a distortion correction must have in order to be applied.
If CPERRja, CQERRja are smaller than minerr, the corersponding
distortion is not applied.
"""
self.inst_kw = ins_spec_kw
self.minerr = minerr
self.wcskey = wcskey
if fobj != 'DEFAULT':
filename, hdr0, ehdr, phdu = self.parseInput(f=fobj, ext=ext)
self.filename = filename
self.instrument = hdr0['INSTRUME']
WCS.__init__(self, ehdr, fobj=phdu, minerr=self.minerr, key=self.wcskey)
# If input was a pyfits HDUList object, it's the user's
# responsibility to close it, otherwise, it's closed here.
if not isinstance(fobj, pyfits.HDUList):
phdu.close()
self.setInstrSpecKw(hdr0, ehdr)
self.readIDCCoeffs(ehdr)
extname = ehdr.get('EXTNAME', "")
extnum = ehdr.get('EXTVER', None)
self.extname = (extname, extnum)
else:
# create a default HSTWCS object
self.instrument = 'DEFAULT'
WCS.__init__(self, minerr=self.minerr, key=self.wcskey)
self.wcs.cd = np.array([[1.0, 0.0], [0.0, 1.0]], np.double)
self.wcs.crval = np.zeros((self.naxis,), np.double)
self.wcs.crpix = np.zeros((self.naxis,), np.double)
self.wcs.set()
self.setInstrSpecKw()
self.setPscale()
self.setOrient()
def parseInput(self, f=None, ext=None):
if isinstance(f, str):
# create an HSTWCS object from a filename
if ext != None:
filename = f
if isinstance(ext,tuple):
if ext[0] == '':
extnum = ext[1] # handle ext=('',1)
else:
extnum = ext
else:
extnum = int(ext)
elif ext == None:
filename, ext = fileutil.parseFilename(f)
ext = fileutil.parseExtn(ext)
if ext[0] == '':
extnum = int(ext[1]) #handle ext=('',extnum)
else:
extnum = ext
phdu = pyfits.open(filename)
hdr0 = pyfits.getheader(filename)
try:
ehdr = pyfits.getheader(filename, ext=extnum)
except (IndexError,KeyError):
print 'Unable to get extension.', extnum
raise
elif isinstance(f, pyfits.HDUList):
phdu = f
if ext == None:
extnum = 0
else:
extnum = ext
ehdr = f[extnum].header
hdr0 = f[0].header
filename = hdr0.get('FILENAME', "")
return filename, hdr0, ehdr, phdu
def readIDCCoeffs(self, header):
"""
Reads in first order IDCTAB coefficients if present in the header
"""
coeffs = ['ocx10', 'ocx11', 'ocy10', 'ocy11', 'idcscale']
for c in coeffs:
self.__setattr__(c, header.get(c, None))
def setInstrSpecKw(self, prim_hdr=None, ext_hdr=None):
# Based on the instrument kw creates an instalnce of an instrument WCS class
# and sets attributes from instrument specific kw
if self.instrument in inst_mappings.keys():
inst_kl = inst_mappings[self.instrument]
inst_kl = instruments.__dict__[inst_kl]
insobj = inst_kl(prim_hdr, ext_hdr)
for key in self.inst_kw:
try:
self.__setattr__(key, insobj.__getattribute__(key))
except AttributeError:
# Some of the instrument's attributes are recorded in the primary header and
# were already set, (e.g. 'DETECTOR'), the code below is a check for that case.
if not self.__getattribute__(key):
raise
else:
pass
else:
raise KeyError, "Unsupported instrument - %s" %self.instrument
def setPscale(self):
# Calculates the plate scale from the cd matrix
cd11 = self.wcs.cd[0][0]
cd21 = self.wcs.cd[1][0]
self.pscale = np.sqrt(np.power(cd11,2)+np.power(cd21,2)) * 3600.
def setOrient(self):
# Recompute ORIENTAT
cd12 = self.wcs.cd[0][1]
cd22 = self.wcs.cd[1][1]
self.orientat = RADTODEG(np.arctan2(cd12,cd22))
def updatePscale(self, pscale):
"""Given a plate scale, update the CD matrix"""
old_pscale = self.pscale
self.pscale = pscale
self.wcs.cd = self.wcs.cd * pscale/old_pscale
self.naxis1 = self.naxis1 * old_pscale/ pscale
self.naxis2 = self.naxis2 * old_pscale/ pscale
self.wcs.crpix = self.wcs.crpix *old_pscale/pscale
def updateOrient(self, orient):
"""Given n angle update the CD matrix"""
if self.orientat == orient:
return
old_orient = self.orientat
self.orientat = orient
angle = fileutil.DEGTORAD(orient)
cd11 = -np.cos(angle)
cd12 = np.sin(angle)
cd21 = cd12
cd22 = -cd11
cdmat = np.array([[cd11, cd12],[cd21,cd22]])
self.wcs.cd = cdmat * self.pscale/3600
self.wcs.set()
def readModel(self, update=False, header=None):
"""
Reads distortion model from IDCTAB.
If IDCTAB is not found ('N/A', "", or not found on disk), then
if SIP coefficients and first order IDCTAb coefficients are present
in the header, restore the idcmodel from the header.
If not - assign None to self.idcmodel.
"""
if self.idctab == None or self.idctab == ' ':
#Keyword idctab is not present in header - check for sip coefficients
if header.has_key('IDCSCALE'):
self._readModelFromHeader(header)
else:
print "Distortion model is not available: IDCTAB=None\n"
self.idcmodel = None
elif not os.path.exists(fileutil.osfn(self.idctab)):
if header.has_key('IDCSCALE'):
self._readModelFromHeader(header)
else:
print 'Distortion model is not available: IDCTAB file %s not found\n' % self.idctab
self.idcmodel = None
else:
self._readModelFromIDCTAB(header=header, update=update)
def _readModelFromHeader(self, header):
# Recreate idc model from SIP coefficients and header kw
print 'Restoring IDC model from SIP coefficients\n'
model = models.GeometryModel()
cx, cy = coeff_converter.sip2idc(self)
model.cx = cx
model.cy = cy
model.name = "sip"
model.norder = header['A_ORDER']
refpix = {}
refpix['XREF'] = header['IDCXREF']
refpix['YREF'] = header['IDCYREF']
refpix['PSCALE'] = header['IDCSCALE']
refpix['V2REF'] = header['IDCV2REF']
refpix['V3REF'] = header['IDCV3REF']
refpix['THETA'] = header['IDCTHETA']
model.refpix = refpix
self.idcmodel = model
def _readModelFromIDCTAB(self, header=None, update=False):
"""
Purpose
=======
Read distortion model from idc table.
Save some of the information as kw needed for interpreting the distortion
If header is provided and update is True, some IDC model kw
will be recorded in the header.
"""
if self.date_obs == None:
print 'date_obs not available\n'
self.idcmodel = None
return
if self.filter1 == None and self.filter2 == None:
'No filter information available\n'
self.idcmodel = None
return
self.idcmodel = models.IDCModel(self.idctab,
chip=self.chip, direction='forward', date=self.date_obs,
filter1=self.filter1, filter2=self.filter2,
offtab=self.offtab, binned=self.binned)
if update:
if header==None:
print 'Update header with IDC model kw requested but header was not provided\n.'
else:
self._updatehdr(header)
def wcs2header(self, sip2hdr=False):
"""
Create a pyfits.Header object from all WCS keywords,
including the SIP coefficients.
"""
h = self.to_header()
if self.wcs.has_cd():
h = pc2cd(h)
if sip2hdr:
hwcs = h.ascardlist()
cards = self._sip2hdr('a')
hwcs.extend(cards)
cards = self._sip2hdr('b')
hwcs.extend(cards)
try:
ap = self.sip.ap
except AssertionError:
ap = None
try:
bp = self.sip.bp
except AssertionError:
bp = None
if ap:
cards = self._sip2hdr('ap')
hwcs.extend(cards)
if bp:
cards = self._sip2hdr('bp')
hwcs.extend(cards)
h = pyfits.Header(hwcs)
return h
def _sip2hdr(self, k):
"""
Get a set of SIP coefficients in the form of an array
and turn them into a pyfits.Cardlist.
k - one of 'a', 'b', 'ap', 'bp'
"""
cards = pyfits.CardList()
korder = self.sip.__getattribute__(k+'_order')
cards.append(pyfits.Card(key=k.upper()+'_ORDER', value=korder))
coeffs = self.sip.__getattribute__(k)
ind = coeffs.nonzero()
for i in range(len(ind[0])):
card = pyfits.Card(key=k.upper()+'_'+str(ind[0][i])+'_'+str(ind[1][i]),
value=coeffs[ind[0][i], ind[1][i]])
cards.append(card)
return cards
def _updatehdr(self, ext_hdr):
#kw2add : OCX10, OCX11, OCY10, OCY11
# record the model in the header for use by pydrizzle
ext_hdr.update('OCX10', self.idcmodel.cx[1,0])
ext_hdr.update('OCX11', self.idcmodel.cx[1,1])
ext_hdr.update('OCY10', self.idcmodel.cy[1,0])
ext_hdr.update('OCY11', self.idcmodel.cy[1,1])
ext_hdr.update('IDCSCALE', self.idcmodel.refpix['PSCALE'])
ext_hdr.update('IDCTHETA', self.idcmodel.refpix['THETA'])
ext_hdr.update('IDCXREF', self.idcmodel.refpix['XREF'])
ext_hdr.update('IDCYREF', self.idcmodel.refpix['YREF'])
ext_hdr.update('IDCV2REF', self.idcmodel.refpix['V2REF'])
ext_hdr.update('IDCV3REF', self.idcmodel.refpix['V3REF'])
def printwcs(self):
print 'WCS Keywords\n'
print 'CD_11 CD_12: %r %r' % (self.wcs.cd[0,0], self.wcs.cd[0,1])
print 'CD_21 CD_22: %r %r' % (self.wcs.cd[1,0], self.wcs.cd[1,1])
print 'CRVAL : %r %r' % (self.wcs.crval[0], self.wcs.crval[1])
print 'CRPIX : %r %r' % (self.wcs.crpix[0], self.wcs.crpix[1])
print 'NAXIS : %d %d' % (self.naxis1, self.naxis2)
print 'Plate Scale : %r' % self.pscale
print 'ORIENTAT : %r' % self.orientat
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