diff options
Diffstat (limited to 'updatewcs')
| -rw-r--r-- | updatewcs/__init__.py | 180 | ||||
| -rw-r--r-- | updatewcs/apply_corrections.py | 140 | ||||
| -rw-r--r-- | updatewcs/corrections.py | 149 | ||||
| -rw-r--r-- | updatewcs/dgeo.py | 252 | ||||
| -rw-r--r-- | updatewcs/makewcs.py | 245 |
5 files changed, 0 insertions, 966 deletions
diff --git a/updatewcs/__init__.py b/updatewcs/__init__.py deleted file mode 100644 index efa9287..0000000 --- a/updatewcs/__init__.py +++ /dev/null @@ -1,180 +0,0 @@ -import os -import pyfits -#from .. wcsutil import HSTWCS -from hstwcs.wcsutil import HSTWCS - -#from .. mappings import allowed_corrections -from hstwcs import utils -import corrections, makewcs -import dgeo -import time -from pytools import parseinput, fileutil -import apply_corrections - -#Note: The order of corrections is important - -__docformat__ = 'restructuredtext' - - -def updatewcs(input, vacorr=True, tddcorr=True, dgeocorr=True, checkfiles=True): - """ - Purpose - ======= - Applies corrections to the WCS keywords. - - Example - ======= - >>>from hstwcs import updatewcs - >>>updatewcs.updatewcs(filename) - - Dependencies - ============ - `pytools` - `pyfits` - `pywcs` - `numpy` - - :Parameters: - `input`: a python list of file names or a string (wild card characters allowed) - input files may be in fits, geis or waiver fits format - `vacorr`: boolean - If True, vecocity aberration correction will be applied - `tddcorr`: boolean - If True, time dependent distortion correction will be applied - `checkfiles`: boolean - If True, the format of the input files will be checked, - geis and waiver fits files will be converted to MEF format. - Default value is True for standalone mode. - """ - - files = parseinput.parseinput(input)[0] - if checkfiles: - files = checkFiles(files) - if not files: - print 'No valid input, quitting ...\n' - return - for f in files: - acorr = apply_corrections.setCorrections(f, vacorr=vacorr, tddcorr=tddcorr,dgeocorr=dgeocorr) - #restore the original WCS keywords - utils.restoreWCS(f) - makecorr(f, acorr) - return files - -def makecorr(fname, allowed_corr): - """ - Purpose - ======= - Applies corrections to the WCS of a single file - - :Parameters: - `fname`: string - file name - `acorr`: list - list of corrections to be applied - - """ - f = pyfits.open(fname, mode='update') - #Determine the reference chip and make a copy of its restored header. - nrefchip, nrefext = getNrefchip(f) - primhdr = f[0].header - ref_hdr = f[nrefext].header.copy() - utils.write_archive(ref_hdr) - - for extn in f: - # Perhaps all ext headers should be corrected (to be consistent) - if extn.header.has_key('extname') and extn.header['extname'].lower() == 'sci': - ref_wcs = HSTWCS(primhdr, ref_hdr, fobj=f) - ref_wcs.readModel(update=True, header=ref_hdr) - hdr = extn.header - ext_wcs = HSTWCS(primhdr, hdr, fobj=f) - utils.write_archive(hdr) - ext_wcs.readModel(update=True,header=hdr) - for c in allowed_corr: - if c != 'DGEOCorr': - corr_klass = corrections.__getattribute__(c) - kw2update = corr_klass.updateWCS(ext_wcs, ref_wcs) - for kw in kw2update: - hdr.update(kw, kw2update[kw]) - - if 'DGEOCorr' in allowed_corr: - kw2update = dgeo.DGEOCorr.updateWCS(f) - for kw in kw2update: - f[1].header.update(kw, kw2update[kw]) - - f.close() - -def getNrefchip(fobj): - """ - This handles the fact that WFPC2 subarray observations - may not include chip 3 which is the default reference chip for - full observations. Also for subarrays chip 3 may not be the third - extension in a MEF file. - """ - Nrefext = 1 - instrument = fobj[0].header['INSTRUME'] - if instrument == 'WFPC2': - detectors = [img.header['DETECTOR'] for img in fobj[1:]] - - if 3 not in detectors: - Nrefchip=detectors[0] - Nrefext = 1 - else: - Nrefchip = 3 - Nrefext = detectors.index(3) + 1 - elif instrument == 'ACS': - detector = fobj[0].header['DETECTOR'] - if detector == 'WCS': - Nrefchip =2 - else: - Nrefchip = 1 - elif instrument == 'NICMOS': - Nrefchip = fobj[0].header['CAMERA'] - return Nrefchip, Nrefext - -def checkFiles(input): - """ - Purpose - ======= - Checks that input files are in the correct format. - Converts geis and waiver fits files to multietension fits. - """ - from pytools.check_files import geis2mef, waiver2mef - removed_files = [] - newfiles = [] - for file in input: - try: - imgfits,imgtype = fileutil.isFits(file) - except IOError: - print "Warning: File %s could not be found\n" %file - print "Removing file %s from input list" %file - removed_files.append(file) - continue - # Check for existence of waiver FITS input, and quit if found. - # Or should we print a warning and continue but not use that file - if imgfits: - if imgtype == 'waiver': - newfilename = waiver2mef(file, convert_dq=True) - if newfilename == None: - print "Removing file %s from input list - could not convert waiver to mef" %file - removed_files.append(file) - else: - newfiles.append(newfilename) - else: - newfiles.append(file) - - # If a GEIS image is provided as input, create a new MEF file with - # a name generated using 'buildFITSName()' - # Convert the corresponding data quality file if present - if not imgfits: - newfilename = geis2mef(file, convert_dq=True) - if newfilename == None: - print "Removing file %s from input list - could not convert geis to mef" %file - removed_files.append(file) - else: - newfiles.append(newfilename) - if removed_files: - print 'The following files will be removed from the list of files to be processed :\n' - for f in removed_files: - print f - return newfiles - diff --git a/updatewcs/apply_corrections.py b/updatewcs/apply_corrections.py deleted file mode 100644 index 9c7f22a..0000000 --- a/updatewcs/apply_corrections.py +++ /dev/null @@ -1,140 +0,0 @@ -import os -import pyfits -#import allowed_corrections -import time -from pytools import fileutil -import os.path -#Note: The order of corrections is important - -__docformat__ = 'restructuredtext' - -# A dictionary which lists the allowed corrections for each instrument. -# These are the default corrections applied also in the pipeline. - -allowed_corrections={'WFPC2': ['MakeWCS','CompSIP', 'VACorr', 'DGEOCorr'], - 'ACS': ['TDDCorr', 'MakeWCS', 'CompSIP','VACorr', 'DGEOCorr'] - } - -def setCorrections(fname, vacorr=True, tddcorr=True, dgeocorr=True): - """ - Purpose - ======= - Creates a list of corrections to be applied to a file. - based on user input paramters and allowed corrections - for the instrument, which are defined in mappings.py. - """ - instrument = pyfits.getval(fname, 'INSTRUME') - tddcorr = applyTDDCorr(fname, tddcorr) - dgeocorr = applyDgeoCorr(fname, dgeocorr) - # make a copy of this list ! - acorr = allowed_corrections[instrument][:] - if 'VACorr' in acorr and vacorr==False: acorr.remove('VACorr') - if 'TDDCorr' in acorr and tddcorr==False: acorr.remove('TDDCorr') - if 'DGEOCorr' in acorr and dgeocorr==False: acorr.remove('DGEOCorr') - return acorr - -def applyTDDCorr(fname, utddcorr): - """ - The default value of tddcorr for all ACS images is True. - This correction will be performed if all conditions below are True: - - the user did not turn it off on the command line - - the detector is WFC - - the idc table specified in the primary header is available. - """ - - instrument = pyfits.getval(fname, 'INSTRUME') - try: - detector = pyfits.getval(fname, 'DETECTOR') - except KeyError: - detector = None - try: - tddcorr = pyfits.getval(fname, 'TDDCORR') - if tddcorr == 'PERFORM': - tddcorr = True - else: - tddcorr = False - except KeyError: - tddcorr = None - - if instrument == 'ACS' and detector == 'WFC' and tddcorr== True and utddcorr == True: - tddcorr = True - try: - idctab = pyfits.getval(fname, 'IDCTAB') - except KeyError: - tddcorr = False - #print "***IDCTAB keyword not found - not applying TDD correction***\n" - if os.path.exists(fileutil.osfn(idctab)): - tddcorr = True - else: - tddcorr = False - #print "***IDCTAB file not found - not applying TDD correction***\n" - else: - tddcorr = False - - return tddcorr - -def applyDgeoCorr(fname, udgeocorr): - """ - Purpose - ======= - Adds dgeo extensions to files based on the DGEOFILE keyword in the primary - header. This is a default correction and will always run in the pipeline. - The file used to generate the extensions is - recorded in the DGEOFILE keyword in each science extension. - If 'DGEOFILE' in the primary header is different from 'DGEOFILE' in the - extension header and the file exists on disk and is a 'new type' dgeofile, - then the dgeo extensions will be updated. - """ - applyDGEOCorr = True - try: - # get DGEOFILE kw from primary header - fdgeo0 = pyfits.getval(fname, 'DGEOFILE') - if fdgeo0 == 'N/A': - return False - fdgeo0 = fileutil.osfn(fdgeo0) - if not fileutil.findFile(fdgeo0): - print 'Kw DGEOFILE exists in primary header but file %s not found\n' % fdgeo0 - print 'DGEO correction will not be applied\n' - applyDGEOCorr = False - return applyDGEOCorr - try: - # get DGEOFILE kw from first extension header - fdgeo1 = pyfits.getval(fname, 'DGEOFILE', ext=1) - fdgeo1 = fileutil.osfn(fdgeo1) - if fdgeo1 and fileutil.findFile(fdgeo1): - if fdgeo0 != fdgeo1: - applyDGEOCorr = True - else: - applyDGEOCorr = False - else: - # dgeo file defined in first extension may not be found - # but if a valid kw exists in the primary header, dgeo should be applied. - applyDGEOCorr = True - except KeyError: - # the case of DGEOFILE kw present in primary header but missing - # in first extension header - applyDGEOCorr = True - except KeyError: - - print 'DGEOFILE keyword not found in primary header' - applyDGEOCorr = False - - if isOldStyleDGEO(fname, fdgeo0): - applyDGEOCorr = False - return (applyDGEOCorr and udgeocorr) - -def isOldStyleDGEO(fname, dgname): - # checks if the file defined in a DGEOFILE kw is a full size - # (old style) image - - sci_naxis1 = pyfits.getval(fname, 'NAXIS1', ext=1) - sci_naxis2 = pyfits.getval(fname, 'NAXIS2', ext=1) - dg_naxis1 = pyfits.getval(dgname, 'NAXIS1', ext=1) - dg_naxis2 = pyfits.getval(dgname, 'NAXIS2', ext=1) - if sci_naxis1 <= dg_naxis1 or sci_naxis2 <= dg_naxis2: - print 'Only full size (old style) XY file was found.' - print 'DGEO correction will not be applied.\n' - return True - else: - return False - diff --git a/updatewcs/corrections.py b/updatewcs/corrections.py deleted file mode 100644 index 645e98d..0000000 --- a/updatewcs/corrections.py +++ /dev/null @@ -1,149 +0,0 @@ -import datetime -import numpy -from numpy import linalg -from pytools import fileutil -from hstwcs.utils import diff_angles -import makewcs, dgeo - -MakeWCS = makewcs.MakeWCS -DGEOCorr = dgeo.DGEOCorr - -class TDDCorr(object): - """ - Purpose - ======= - Apply time dependent distortion correction to SIP coefficients and basic - WCS keywords. It is applicable only to ACS/WFC data. - - Ref: Jay Anderson, ACS ISR 2007-08, Variation of the Distortion - Solution of the WFC - - :Parameters: - `ext_wcs`: HSTWCS object - An extension HSTWCS object to be modified - `ref_wcs`: HSTWCS object - A reference HSTWCS object - """ - - def updateWCS(cls, ext_wcs, ref_wcs): - """ - - Calculates alpha and beta for ACS/WFC data. - - Writes 2 new kw to the extension header: TDDALPHA and TDDBETA - """ - - alpha, beta = cls.compute_alpha_beta(ext_wcs) - cls.apply_tdd2idc(ref_wcs, alpha, beta) - cls.apply_tdd2idc(ext_wcs, alpha, beta) - ext_wcs.idcmodel.refpix['TDDALPHA'] = alpha - ext_wcs.idcmodel.refpix['TDDBETA'] = beta - ref_wcs.idcmodel.refpix['TDDALPHA'] = alpha - ref_wcs.idcmodel.refpix['TDDBETA'] = beta - - newkw = {'TDDALPHA': alpha, 'TDDBETA':beta, 'OCX10':ext_wcs.idcmodel.cx[1,0], - 'OCX11':ext_wcs.idcmodel.cx[1,1],'OCY10':ext_wcs.idcmodel.cy[1,0], - 'OCY11':ext_wcs.idcmodel.cy[1,1],} - - return newkw - updateWCS = classmethod(updateWCS) - - def apply_tdd2idc(cls, hwcs, alpha, beta): - """ - Applies TDD to the idctab coefficients of a ACS/WFC observation. - This should be always the first correction. - """ - theta_v2v3 = 2.234529 - mrotp = fileutil.buildRotMatrix(theta_v2v3) - mrotn = fileutil.buildRotMatrix(-theta_v2v3) - tdd_mat = numpy.array([[1+(beta/2048.), alpha/2048.],[alpha/2048.,1-(beta/2048.)]],numpy.float64) - abmat1 = numpy.dot(tdd_mat, mrotn) - abmat2 = numpy.dot(mrotp,abmat1) - xshape, yshape = hwcs.idcmodel.cx.shape, hwcs.idcmodel.cy.shape - icxy = numpy.dot(abmat2,[hwcs.idcmodel.cx.ravel(), hwcs.idcmodel.cy.ravel()]) - hwcs.idcmodel.cx = icxy[0] - hwcs.idcmodel.cy = icxy[1] - hwcs.idcmodel.cx.shape = xshape - hwcs.idcmodel.cy.shape = yshape - - apply_tdd2idc = classmethod(apply_tdd2idc) - - def compute_alpha_beta(cls, ext_wcs): - """ - Compute the time dependent distortion skew terms - default date of 2004.5 = 2004-7-1 - """ - dday = 2004.5 - year,month,day = ext_wcs.date_obs.split('-') - rdate = datetime.datetime(int(year),int(month),int(day)) - rday = float(rdate.strftime("%j"))/365.25 + rdate.year - alpha = 0.095 + 0.090*(rday-dday)/2.5 - beta = -0.029 - 0.030*(rday-dday)/2.5 - - return alpha, beta - - compute_alpha_beta = classmethod(compute_alpha_beta) - - -class VACorr(object): - """ - Purpose - ======= - Apply velocity aberation correction to WCS keywords. - Modifies the CD matrix and CRVAL1/2 - - """ - - def updateWCS(cls, ext_wcs, ref_wcs): - if ext_wcs.vafactor != 1: - ext_wcs.wcs.cd = ext_wcs.wcs.cd * ext_wcs.vafactor - ext_wcs.wcs.crval[0] = ref_wcs.wcs.crval[0] + ext_wcs.vafactor*diff_angles(ext_wcs.wcs.crval[0], ref_wcs.wcs.crval[0]) - ext_wcs.wcs.crval[1] = ref_wcs.wcs.crval[1] + ext_wcs.vafactor*diff_angles(ext_wcs.wcs.crval[1], ref_wcs.wcs.crval[1]) - ext_wcs.wcs.set() - else: - pass - kw2update={'CD1_1': ext_wcs.wcs.cd[0,0], 'CD1_2':ext_wcs.wcs.cd[0,1], - 'CD2_1':ext_wcs.wcs.cd[1,0], 'CD2_2':ext_wcs.wcs.cd[1,1], - 'CRVAL1':ext_wcs.wcs.crval[0], 'CRVAL2':ext_wcs.wcs.crval[1]} - return kw2update - - updateWCS = classmethod(updateWCS) - - -class CompSIP(object): - """ - Purpose - ======= - Compute SIP coefficients from idc table coefficients. - """ - - def updateWCS(cls, ext_wcs, ref_wcs): - kw2update = {} - order = ext_wcs.idcmodel.norder - kw2update['A_ORDER'] = order - kw2update['B_ORDER'] = order - pscale = ext_wcs.idcmodel.refpix['PSCALE'] - - cx = ext_wcs.idcmodel.cx - cy = ext_wcs.idcmodel.cy - - matr = numpy.array([[cx[1,1],cx[1,0]], [cy[1,1],cy[1,0]]], dtype=numpy.float) - imatr = linalg.inv(matr) - akeys1 = numpy.zeros((order+1,order+1), dtype=numpy.float) - bkeys1 = numpy.zeros((order+1,order+1), dtype=numpy.float) - for n in range(order+1): - for m in range(order+1): - if n >= m and n>=2: - idcval = numpy.array([[cx[n,m]],[cy[n,m]]]) - sipval = numpy.dot(imatr, idcval) - akeys1[m,n-m] = sipval[0] - bkeys1[m,n-m] = sipval[1] - Akey="A_%d_%d" % (m,n-m) - Bkey="B_%d_%d" % (m,n-m) - kw2update[Akey] = sipval[0,0] - kw2update[Bkey] = sipval[1,0] - kw2update['CTYPE1'] = 'RA---TAN-SIP' - kw2update['CTYPE2'] = 'DEC--TAN-SIP' - return kw2update - - updateWCS = classmethod(updateWCS) - - diff --git a/updatewcs/dgeo.py b/updatewcs/dgeo.py deleted file mode 100644 index 70e6a98..0000000 --- a/updatewcs/dgeo.py +++ /dev/null @@ -1,252 +0,0 @@ -import pyfits -from pytools import fileutil -#from hstwcs.mappings import dgeo_vals -import numpy - -class DGEOCorr(object): - """ - Purpose - ======= - Defines a Lookup table prior distortion correction as per WCS paper IV. - It uses a reference file defined by the DGEOFILE keyword in the primary header. - - Algorithm - ========= - - Using extensions in the reference file create a WCSDVARR extension - and add it to the file object. - - Add record-valued keywords which describe the lookup tables to the - science extension header - - Add a keyword 'DGEOFILE' to the science extension header, whose - value is the reference file used to create the WCSVARR extension - - If WCSDVARR extensions exist, subsequent updates will overwrite them. - If not, they will be added to the file object. - - It is assumed that the DGEO reference files were created to work with IDC tables - but will be applied with SIP coefficients. A transformation is applied to correct - for the fact that the lookup tables will be applied before the first order coefficients - which are in the CD matrix when the SIP convention is used. - """ - - def updateWCS(cls, fobj): - """ - :Parameters: - `fobj`: pyfits object - Science file, for which a distortion correction in a DGEOFILE is available - - """ - assert isinstance(fobj, pyfits.NP_pyfits.HDUList) - cls.applyDgeoCorr(fobj) - dgfile = fobj[0].header['DGEOFILE'] - - new_kw = {'DGEOFILE': dgfile} - return new_kw - - updateWCS = classmethod(updateWCS) - - def applyDgeoCorr(cls, fobj): - """ - For each science extension in a pyfits file object: - - create a WCSDVARR extension - - update science header - - add/update DGEOFILE keyword - """ - dgfile = fileutil.osfn(fobj[0].header['DGEOFILE']) - instrument = fobj[0].header.get('INSTRUME', None) - # Map WCSDVARR EXTVER numbers to extension numbers - wcsdvarr_ind = cls.getWCSIndex(fobj) - for ext in fobj: - try: - extname = ext.header['EXTNAME'].lower() - except KeyError: - continue - if extname == 'sci': - extversion = ext.header['EXTVER'] - header = ext.header - # get the data arrays from the reference file and transform them for use with SIP - dx,dy = cls.getData(dgfile, extversion) - ndx, ndy = cls.transformData(header, dx,dy) - # determine EXTVER for the WCSDVARR extension from the DGEO file (EXTNAME, EXTVER) kw - wcsdvarr_x_version = 2 * extversion -1 - wcsdvarr_y_version = 2 * extversion - - for ename in zip(['DX', 'DY'], [wcsdvarr_x_version,wcsdvarr_y_version],[ndx, ndy]): - cls.addSciExtKw(header, wdvarr_ver=ename[1], dgeo_name=ename[0]) - hdu = cls.createDgeoHDU(header, dgeofile=dgfile, wdvarr_ver=ename[1],dgeo_name=ename[0], data=ename[2],extver=extversion) - if wcsdvarr_ind: - fobj[wcsdvarr_ind[ename[1]]] = hdu - else: - fobj.append(hdu) - - - applyDgeoCorr = classmethod(applyDgeoCorr) - - def getWCSIndex(cls, fobj): - """ - If fobj has WCSDVARR extensions: - returns a mapping of their EXTVER kw are mapped to extension numbers - if fobj does not have WCSDVARR extensions: - an empty dictionary is returned. - """ - wcsd = {} - for e in range(len(fobj)): - try: - ename = fobj[e].header['EXTNAME'] - except KeyError: - continue - if ename == 'WCSDVARR': - wcsd[fobj[e].header['EXTVER']] = e - - return wcsd - - getWCSIndex = classmethod(getWCSIndex) - - def addSciExtKw(cls, hdr, wdvarr_ver=None, dgeo_name=None): - """ - Adds kw to sci extension to define WCSDVARR lookup table extensions - - """ - if dgeo_name =='DX': - j=1 - else: - j=2 - - cperror = 'CPERROR%s' %j - cpdis = 'CPDIS%s' %j - dpext = 'DP%s.' %j + 'EXTVER' - dpnaxes = 'DP%s.' %j +'NAXES' - dpaxis1 = 'DP%s.' %j+'AXIS.1' - dpaxis2 = 'DP%s.' %j+'AXIS.2' - keys = [cperror, cpdis, dpext, dpnaxes, dpaxis1, dpaxis2] - values = {cperror: 0.0, cpdis: 'Lookup', dpext: wdvarr_ver, dpnaxes: 2, - dpaxis1: 1, dpaxis2: 2} - - comments = {cperror: 'Maximum error of dgeo correction for axis %s' % (wdvarr_ver/2), - cpdis: 'Prior distortion funcion type', - dpext: 'Version number of WCSDVARR extension containing lookup distortion table', - dpnaxes: 'Number of independent variables in distortion function', - dpaxis1: 'Axis number of the jth independent variable in a distortion function', - dpaxis2: 'Axis number of the jth independent variable in a distortion function' - } - - for key in keys: - hdr.update(key=key, value=values[key], comment=comments[key], before='HISTORY') - - addSciExtKw = classmethod(addSciExtKw) - - def getData(cls,dgfile, extver): - """ - Get the data arrays from the reference DGEO files - """ - xdata = pyfits.getdata(dgfile, ext=('DX',extver)) - ydata = pyfits.getdata(dgfile, ext=('DY',extver)) - return xdata, ydata - getData = classmethod(getData) - - def transformData(cls, header, dx, dy): - """ - Transform the DGEO data arrays for use with SIP - """ - coeffs = cls.getCoeffs(header) - idcscale = header['IDCSCALE'] - sclcoeffs = numpy.linalg.inv(coeffs)/idcscale - ndx, ndy = numpy.dot(sclcoeffs, [dx.ravel(), dy.ravel()]) - ndx.shape = dx.shape - ndy.shape=dy.shape - return ndx, ndy - transformData = classmethod(transformData) - - def getCoeffs(cls, header): - """ - Return a matrix of the first order IDC coefficients. - """ - try: - ocx10 = header['OCX10'] - ocx11 = header['OCX11'] - ocy10 = header['OCY10'] - ocy11 = header['OCY11'] - except AttributeError: - print 'First order IDCTAB coefficients are not available.\n' - print 'Cannot convert SIP to IDC coefficients.\n' - return None - return numpy.array([[ocx11, ocx10], [ocy11,ocy10]], dtype=numpy.float32) - - getCoeffs = classmethod(getCoeffs) - - def createDgeoHDU(cls, sciheader, dgeofile=None, wdvarr_ver=1, dgeo_name=None,data = None, extver=1): - """ - Creates an HDU to be added to the file object. - """ - hdr = cls.createDgeoHdr(sciheader, dgeofile=dgeofile, wdvarr_ver=wdvarr_ver, dgeoname=dgeo_name, extver=extver) - hdu=pyfits.ImageHDU(header=hdr, data=data) - return hdu - - createDgeoHDU = classmethod(createDgeoHDU) - - def createDgeoHdr(cls, sciheader, dgeofile, wdvarr_ver, dgeoname, extver): - """ - Creates a header for the WCSDVARR extension based on the DGEO reference file - and sci extension header. - """ - dgeo_header = pyfits.getheader(dgeofile, ext=(dgeoname,extver)) - sci_naxis1 = sciheader['NAXIS1'] - sci_naxis2 = sciheader['NAXIS2'] - sci_crpix1 = sciheader['CRPIX1'] - sci_crpix2 = sciheader['CRPIX2'] - - naxis1 = dgeo_header['naxis1'] - naxis2 = dgeo_header['naxis2'] - extver = dgeo_header['extver'] - crpix1 = naxis1/2. - crpix2 = naxis2/2. - cdelt1 = sci_naxis1/naxis1 - cdelt2 = sci_naxis2/naxis2 - crval1 = sci_crpix1 - crval2 = sci_crpix2 - keys = ['XTENSION','BITPIX','NAXIS','NAXIS1','NAXIS2', - 'EXTNAME','EXTVER','PCOUNT','GCOUNT','CRPIX1', - 'CDELT1','CRVAL1','CRPIX2','CDELT2','CRVAL2'] - - comments = {'XTENSION': 'Image extension', - 'BITPIX': 'IEEE floating point', - 'NAXIS': 'Number of image columns', - 'NAXIS1': 'Number of image columns', - 'NAXIS2': 'Number of image rows', - 'EXTNAME': 'WCS distortion array', - 'EXTVER': 'Distortion array version number', - 'PCOUNT': 'Special data area of size 0', - 'GCOUNT': 'One data group', - 'CRPIX1': 'Distortion array reference pixel', - 'CDELT1': 'Grid step size in first coordinate', - 'CRVAL1': 'Image array pixel coordinate', - 'CRPIX2': 'Distortion array reference pixel', - 'CDELT2': 'Grid step size in second coordinate', - 'CRVAL2': 'Image array pixel coordinate'} - - values = {'XTENSION': 'IMAGE', - 'BITPIX': -32, - 'NAXIS': 2, - 'NAXIS1': naxis1, - 'NAXIS2': naxis2, - 'EXTNAME': 'WCSDVARR', - 'EXTVER': wdvarr_ver, - 'PCOUNT': 0, - 'GCOUNT': 1, - 'CRPIX1': crpix1, - 'CDELT1': cdelt1, - 'CRVAL1': crval1, - 'CRPIX2': crpix1, - 'CDELT2': cdelt2, - 'CRVAL2': crval2 - } - - - cdl = pyfits.CardList() - for c in keys: - cdl.append(pyfits.Card(key=c, value=values[c], comment=comments[c])) - - hdr = pyfits.Header(cards=cdl) - return hdr - - createDgeoHdr = classmethod(createDgeoHdr) - diff --git a/updatewcs/makewcs.py b/updatewcs/makewcs.py deleted file mode 100644 index 40be750..0000000 --- a/updatewcs/makewcs.py +++ /dev/null @@ -1,245 +0,0 @@ -#from .. mappings import DEGTORAD, RADTODEG -from hstwcs import DEGTORAD, RADTODEG -import numpy -from math import sin, sqrt, pow, cos, asin, atan2,pi -from hstwcs import utils -from pytools import fileutil - -class MakeWCS(object): - """ - Purpose - ======= - Recompute basic WCS keywords based on PA_V3 and distortion model. - - Algorithm - ========= - - update reference chip wcs - - -- CRVAL: reference chip model zero point (XREF/YREF) on the sky - -- PA_V3 is calculated at the target position and adjusted - for each chip orientation - -- CD: PA_V3 and the model scale are used to cnstruct a CD matrix - - - update extension wcs - - -- CRVAL: - the distance between the zero points of the two - chip models on the sky - -- CD matrix: first order coefficients are added to the components - of this distance and transfered on the sky. The difference - between CRVAL and these vectors is the new CD matrix for each chip. - -- CRPIX: chip's model zero point in pixel space (XREF/YREF) - - """ - tdd_xyref = {1: [2048, 3072], 2:[2048, 1024]} - def updateWCS(cls, ext_wcs, ref_wcs): - """ - recomputes the basic WCS kw - """ - ltvoff, offshift = cls.getOffsets(ext_wcs) - - v23_corr = cls.zero_point_corr(ext_wcs) - rv23_corr = cls.zero_point_corr(ref_wcs) - - cls.uprefwcs(ext_wcs, ref_wcs, rv23_corr, ltvoff, offshift) - cls.upextwcs(ext_wcs, ref_wcs, v23_corr, rv23_corr, ltvoff, offshift) - - - kw2update = {'CD1_1': ext_wcs.wcs.cd[0,0], - 'CD1_2': ext_wcs.wcs.cd[0,1], - 'CD2_1': ext_wcs.wcs.cd[1,0], - 'CD2_2': ext_wcs.wcs.cd[1,1], - 'CRVAL1': ext_wcs.wcs.crval[0], - 'CRVAL2': ext_wcs.wcs.crval[1], - 'CRPIX1': ext_wcs.wcs.crpix[0], - 'CRPIX2': ext_wcs.wcs.crpix[1], - } - return kw2update - - updateWCS = classmethod(updateWCS) - - def upextwcs(cls, ext_wcs, ref_wcs, v23_corr, rv23_corr, loff, offsh): - """ - updates an extension wcs - """ - ltvoffx, ltvoffy = loff[0], loff[1] - offshiftx, offshifty = offsh[0], offsh[1] - ltv1 = ext_wcs.ltv1 - ltv2 = ext_wcs.ltv2 - - if ltv1 != 0. or ltv2 != 0.: - offsetx = backup_wcs['CRPIX1'] - ltv1 - ext_wcs.idcmodel.refpix['XREF'] - offsety = backup_wcs['CRPIX2'] - ltv2 - ext_wcs.idcmodel.refpix['YREF'] - fx,fy = ext_wcs.idcmodel.shift(ext_wcs.idcmodel.cx,ext_wcs.idcmodel.cy,offsetx,offsety) - else: - fx, fy = ext_wcs.idcmodel.cx, ext_wcs.idcmodel.cy - - tddscale = (ref_wcs.pscale/fx[1,1]) - v2 = ext_wcs.idcmodel.refpix['V2REF'] + v23_corr[0,0] * tddscale - v3 = ext_wcs.idcmodel.refpix['V3REF'] - v23_corr[1,0] * tddscale - v2ref = ref_wcs.idcmodel.refpix['V2REF'] + rv23_corr[0,0] * tddscale - v3ref = ref_wcs.idcmodel.refpix['V3REF'] - rv23_corr[1,0] * tddscale - - R_scale = ref_wcs.idcmodel.refpix['PSCALE']/3600.0 - off = sqrt((v2-v2ref)**2 + (v3-v3ref)**2)/(R_scale*3600.0) - - if v3 == v3ref: - theta=0.0 - else: - theta = atan2(ext_wcs.parity[0][0]*(v2-v2ref), ext_wcs.parity[1][1]*(v3-v3ref)) - - if ref_wcs.idcmodel.refpix['THETA']: theta += ref_wcs.idcmodel.refpix['THETA']*pi/180.0 - - dX=(off*sin(theta)) + offshiftx - dY=(off*cos(theta)) + offshifty - - px = numpy.array([[dX,dY]]) - newcrval = ref_wcs.wcs.p2s_fits(px)['world'][0] - newcrpix = numpy.array([ext_wcs.idcmodel.refpix['XREF'] + ltvoffx, - ext_wcs.idcmodel.refpix['YREF'] + ltvoffy]) - ext_wcs.wcs.crval = newcrval - ext_wcs.wcs.crpix = newcrpix - ext_wcs.wcs.set() - - # Create a small vector, in reference image pixel scale - delmat = numpy.array([[fx[1,1], fy[1,1]], \ - [fx[1,0], fy[1,0]]]) / R_scale/3600. - - # Account for subarray offset - # Angle of chip relative to chip - if ext_wcs.idcmodel.refpix['THETA']: - dtheta = ext_wcs.idcmodel.refpix['THETA'] - ref_wcs.idcmodel.refpix['THETA'] - else: - dtheta = 0.0 - # Convert to radians - rr=dtheta*pi/180.0 - rrmat = fileutil.buildRotMatrix(rr) - - # Rotate the vectors - dxy = numpy.dot(rrmat, delmat) - wc = ref_wcs.wcs.p2s_fits(px + dxy)['world'] - - # Calculate the new CDs and convert to degrees - cd11 = utils.diff_angles(wc[0,0],newcrval[0])*cos(newcrval[1]*pi/180.0) - cd12 = utils.diff_angles(wc[1,0],newcrval[0])*cos(newcrval[1]*pi/180.0) - cd21 = utils.diff_angles(wc[0,1],newcrval[1]) - cd22 = utils.diff_angles(wc[1,1],newcrval[1]) - cd = numpy.array([[cd11, cd12], [cd21, cd22]]) - ext_wcs.wcs.cd = cd - ext_wcs.wcs.set() - - upextwcs = classmethod(upextwcs) - - def uprefwcs(cls, ext_wcs, ref_wcs, rv23_corr_tdd, loff, offsh): - """ - Updates the reference chip - """ - ltvoffx, ltvoffy = loff[0], loff[1] - offshift = offsh - dec = ref_wcs.wcs.crval[1] - tddscale = (ref_wcs.pscale/ext_wcs.idcmodel.cx[1,1]) - rv23 = [ref_wcs.idcmodel.refpix['V2REF'] + (rv23_corr_tdd[0,0] *tddscale), - ref_wcs.idcmodel.refpix['V3REF'] - (rv23_corr_tdd[1,0] * tddscale)] - # Get an approximate reference position on the sky - rref = numpy.array([[ref_wcs.idcmodel.refpix['XREF']+ltvoffx , - ref_wcs.idcmodel.refpix['YREF']+ltvoffy]]) - - crval = ref_wcs.wcs.p2s_fits(rref)['world'][0] - # Convert the PA_V3 orientation to the orientation at the aperture - # This is for the reference chip only - we use this for the - # reference tangent plane definition - # It has the same orientation as the reference chip - pv = troll(ext_wcs.pav3,dec,rv23[0], rv23[1]) - # Add the chip rotation angle - if ref_wcs.idcmodel.refpix['THETA']: - pv += ref_wcs.idcmodel.refpix['THETA'] - - - # Set values for the rest of the reference WCS - ref_wcs.wcs.crval = crval - ref_wcs.wcs.crpix = numpy.array([0.0,0.0])+offsh - parity = ref_wcs.parity - R_scale = ref_wcs.idcmodel.refpix['PSCALE']/3600.0 - cd11 = parity[0][0] * cos(pv*pi/180.0)*R_scale - cd12 = parity[0][0] * -sin(pv*pi/180.0)*R_scale - cd21 = parity[1][1] * sin(pv*pi/180.0)*R_scale - cd22 = parity[1][1] * cos(pv*pi/180.0)*R_scale - - rcd = numpy.array([[cd11, cd12], [cd21, cd22]]) - ref_wcs.wcs.cd = rcd - ref_wcs.wcs.set() - - uprefwcs = classmethod(uprefwcs) - - def zero_point_corr(cls,hwcs): - try: - alpha = hwcs.idcmodel.refpix['TDDALPHA'] - beta = hwcs.idcmodel.refpix['TDDBETA'] - except KeyError: - return numpy.array([[0., 0.],[0.,0.]]) - - tdd = numpy.array([[beta, alpha], [alpha, -beta]]) - mrotp = fileutil.buildRotMatrix(2.234529)/2048. - xy0 = numpy.array([[cls.tdd_xyref[hwcs.chip][0]-2048.], [cls.tdd_xyref[hwcs.chip][1]-2048.]]) - v23_corr = numpy.dot(mrotp,numpy.dot(tdd,xy0)) * 0.05 - - return v23_corr - - zero_point_corr = classmethod(zero_point_corr) - - def getOffsets(cls, ext_wcs): - ltv1 = ext_wcs.ltv1 - ltv2 = ext_wcs.ltv2 - - offsetx = ext_wcs.wcs.crpix[0] - ltv1 - ext_wcs.idcmodel.refpix['XREF'] - offsety = ext_wcs.wcs.crpix[1] - ltv2 - ext_wcs.idcmodel.refpix['YREF'] - - shiftx = ext_wcs.idcmodel.refpix['XREF'] + ltv1 - shifty = ext_wcs.idcmodel.refpix['YREF'] + ltv2 - if ltv1 != 0. or ltv2 != 0.: - ltvoffx = ltv1 + offsetx - ltvoffy = ltv2 + offsety - offshiftx = offsetx + shiftx - offshifty = offsety + shifty - else: - ltvoffx = 0. - ltvoffy = 0. - offshiftx = 0. - offshifty = 0. - - ltvoff = numpy.array([ltvoffx, ltvoffy]) - offshift = numpy.array([offshiftx, offshifty]) - return ltvoff, offshift - - getOffsets = classmethod(getOffsets) - - -def troll(roll, dec, v2, v3): - """ Computes the roll angle at the target position based on: - the roll angle at the V1 axis(roll), - the dec of the target(dec), and - the V2/V3 position of the aperture (v2,v3) in arcseconds. - - Based on the algorithm provided by Colin Cox that is used in - Generic Conversion at STScI. - """ - # Convert all angles to radians - _roll = DEGTORAD(roll) - _dec = DEGTORAD(dec) - _v2 = DEGTORAD(v2 / 3600.) - _v3 = DEGTORAD(v3 / 3600.) - - # compute components - sin_rho = sqrt((pow(sin(_v2),2)+pow(sin(_v3),2)) - (pow(sin(_v2),2)*pow(sin(_v3),2))) - rho = asin(sin_rho) - beta = asin(sin(_v3)/sin_rho) - if _v2 < 0: beta = pi - beta - gamma = asin(sin(_v2)/sin_rho) - if _v3 < 0: gamma = pi - gamma - A = pi/2. + _roll - beta - B = atan2( sin(A)*cos(_dec), (sin(_dec)*sin_rho - cos(_dec)*cos(rho)*cos(A))) - - # compute final value - troll = RADTODEG(pi - (gamma+B)) - - return troll - |