diff options
Diffstat (limited to 'lib')
| -rw-r--r-- | lib/stwcs/distortion/utils.py | 68 |
1 files changed, 66 insertions, 2 deletions
diff --git a/lib/stwcs/distortion/utils.py b/lib/stwcs/distortion/utils.py index 51df391..4228f62 100644 --- a/lib/stwcs/distortion/utils.py +++ b/lib/stwcs/distortion/utils.py @@ -1,9 +1,13 @@ from __future__ import division, print_function # confidence high import os + import numpy as np +from numpy import linalg from astropy import wcs as pywcs + from stwcs import wcsutil +from stwcs import updatewcs from numpy import sqrt, arctan2 from stsci.tools import fileutil @@ -36,7 +40,8 @@ def output_wcs(list_of_wcsobj, ref_wcs=None, owcs=None, undistort=True): if ref_wcs is None: ref_wcs = list_of_wcsobj[0].deepcopy() if undistort: - outwcs = undistortWCS(ref_wcs) + #outwcs = undistortWCS(ref_wcs) + outwcs = make_orthogonal_cd(ref_wcs) else: outwcs = ref_wcs.deepcopy() outwcs.wcs.crval = crval @@ -86,6 +91,66 @@ def computeFootprintCenter(edges): return crval1,crval2 +def make_orthogonal_cd(wcs): + """ Create a perfect (square, orthogonal, undistorted) CD matrix from the + input WCS. + """ + # get determinant of the CD matrix: + cd = wcs.celestial.pixel_scale_matrix + + + if hasattr(wcs, 'idcv2ref') and wcs.idcv2ref is not None: + # 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 = updatewcs.makewcs.troll(wcs.pav3,wcs.wcs.crval[1],wcs.idcv2ref,wcs.idcv3ref) + # Add the chip rotation angle + if wcs.idctheta: + pv += wcs.idctheta + cs = np.cos(np.deg2rad(pv)) + sn = np.sin(np.deg2rad(pv)) + pvmat = np.dot(np.array([[cs,sn],[-sn,cs]]),wcs.parity) + rot = np.arctan2(pvmat[0,1],pvmat[1,1]) + scale = wcs.idcscale/3600. + + det = linalg.det(wcs.parity) + + else: + + det = linalg.det(cd) + + # find pixel scale: + if hasattr(wcs, 'idcscale'): + scale = (wcs.idcscale) / 3600. # HST pixel scale provided + else: + scale = np.sqrt(np.abs(det)) # find as sqrt(pixel area) + + # find Y-axis orientation: + if hasattr(wcs, 'orientat') and not ignoreHST: + rot = np.deg2rad(wcs.orientat) # use HST ORIENTAT + else: + rot = np.arctan2(wcs.wcs.cd[0,1], wcs.wcs.cd[1,1]) # angle of the Y-axis + + par = -1 if det < 0.0 else 1 + + # create a perfectly square, orthogonal WCS + sn = np.sin(rot) + cs = np.cos(rot) + orthogonal_cd = scale * np.array([[par*cs, sn], [-par*sn, cs]]) + + lin_wcsobj = pywcs.WCS() + lin_wcsobj.wcs.cd = orthogonal_cd + lin_wcsobj.wcs.set() + lin_wcsobj.orientat = arctan2(lin_wcsobj.wcs.cd[0,1],lin_wcsobj.wcs.cd[1,1]) * 180./np.pi + lin_wcsobj.pscale = sqrt(lin_wcsobj.wcs.cd[0,0]**2 + lin_wcsobj.wcs.cd[1,0]**2)*3600. + lin_wcsobj.wcs.crval = np.array([0.,0.]) + lin_wcsobj.wcs.crpix = np.array([0.,0.]) + lin_wcsobj.wcs.ctype = ['RA---TAN', 'DEC--TAN'] + lin_wcsobj.wcs.set() + + return lin_wcsobj + def undistortWCS(wcsobj): """ Creates an undistorted linear WCS by applying the IDCTAB distortion model @@ -203,4 +268,3 @@ def foundIDCTAB(idctab): except KeyError: idctab_found = False return idctab_found - |