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| author | hack <hack@stsci.edu> | 2015-05-04 13:25:41 -0400 |
|---|---|---|
| committer | hack <hack@stsci.edu> | 2015-05-04 13:25:41 -0400 |
| commit | a750294506fb6270c44b791928ab8d5630a22ca2 (patch) | |
| tree | fbb7e5fff0bb4783f4abe5776f0b7b93f01b4c35 /lib/stwcs/distortion/mutil.py | |
| parent | 34a65378c98e1a2c017cce36f06e88d7052e454d (diff) | |
| download | stwcs_hcf-a750294506fb6270c44b791928ab8d5630a22ca2.tar.gz | |
Update STWCS with the latest code necessary to support the 'final' velocity-aberration-corrected TDD calibrations for ACS. This continues to address Ticket #1108.
git-svn-id: http://svn.stsci.edu/svn/ssb/stsci_python/stwcs/trunk@39773 fe389314-cf27-0410-b35b-8c050e845b92
Diffstat (limited to 'lib/stwcs/distortion/mutil.py')
| -rw-r--r-- | lib/stwcs/distortion/mutil.py | 27 |
1 files changed, 22 insertions, 5 deletions
diff --git a/lib/stwcs/distortion/mutil.py b/lib/stwcs/distortion/mutil.py index 80fd6bf..d116bbf 100644 --- a/lib/stwcs/distortion/mutil.py +++ b/lib/stwcs/distortion/mutil.py @@ -256,6 +256,9 @@ def readIDCtab (tabname, chip=1, date=None, direction='forward', def read_tdd_coeffs(phdr, chip=1): ''' Read in the TDD related keywords from the PRIMARY header of the IDCTAB ''' + # Insure we have an integer form of chip + ic = int(chip) + skew_coeffs = {} skew_coeffs['TDDORDER'] = 0 skew_coeffs['TDD_DATE'] = "" @@ -266,9 +269,23 @@ def read_tdd_coeffs(phdr, chip=1): skew_coeffs['TDD_CX_BETA'] = None skew_coeffs['TDD_CX_ALPHA'] = None - if "TDD_CYB1" in phdr: + # Skew-based TDD coefficients + skew_terms = ['TDD_CTB','TDD_CTA','TDD_CYA','TDD_CYB','TDD_CXA','TDD_CXB'] + for s in skew_terms: + skew_coeffs[s] = None + + if "TDD_CTB1" in phdr: + # We have the 2015-calibrated TDD correction to apply + # This correction is based on correcting the skew in the linear terms + # not just set polynomial terms + print("Using 2015-calibrated VAFACTOR-corrected TDD correction...") + skew_coeffs['TDD_DATE'] = phdr['TDD_DATE'] + for s in skew_terms: + skew_coeffs[s] = phdr.get('{0}{1}'.format(s,ic),None) + + elif "TDD_CYB1" in phdr: # We have 2014-calibrated TDD correction to apply, not J.A.-derived values - print "Using 2014-calibrated TDD correction..." + print("Using 2014-calibrated TDD correction...") skew_coeffs['TDD_DATE'] = phdr['TDD_DATE'] # Read coefficients for TDD Y coefficient cyb_kw = 'TDD_CYB{0}'.format(int(chip)) @@ -290,7 +307,7 @@ def read_tdd_coeffs(phdr, chip=1): if "TDDORDER" in phdr: n = int(phdr["TDDORDER"]) else: - print 'TDDORDER kw not present, using default TDD correction' + print ('TDDORDER kw not present, using default TDD correction') return None a = np.zeros((n+1,), np.float64) @@ -299,8 +316,8 @@ def read_tdd_coeffs(phdr, chip=1): a[i] = phdr.get(("TDD_A%d" % i), 0.0) b[i] = phdr.get(("TDD_B%d" % i), 0.0) if (a==0).all() and (b==0).all(): - print 'Warning: TDD_A and TDD_B coeffiecients have values of 0, \n \ - but TDDORDER is %d.' % TDDORDER + print ('Warning: TDD_A and TDD_B coeffiecients have values of 0, \n \ + but TDDORDER is %d.' % TDDORDER) skew_coeffs['TDDORDER'] = n skew_coeffs['TDD_DATE'] = phdr['TDD_DATE'] |