The VISIR 4.3.7 pipeline¶
These pages describe the python interface for the VISIR pipeline recipes.
Standard recipes¶
visir_img_dark
- Dark recipe
visir_img_ff
- Flat field recipe
visir_img_reduce
- Combines a stack of chopped, jittered and/or nodded exposures and can compute the sensitivity for standard star observations
visir_img_trans
- Instrument Transmission recipe
visir_old_spc_obs
- Old DRS detector: Spectroscopic Observation recipe
visir_old_spc_obs_ech
- Old DRS detector: Spectroscopic Observation recipe in Echelle mode
visir_old_spc_phot
- Old DRS detector: Sensitivity computation in spectroscopy
visir_old_spc_phot_ech
- Old DRS detector: Sensitivity computation in echelle spectroscopy
visir_old_spc_wcal
- Old DRS detector: Spectroscopic wavelength calibration recipe
visir_old_spc_wcal_ech
- Old DRS detector: Spectroscopic wavelength calibration recipe in Echelle
visir_spc_reduce
- Spectroscopic Observation recipe
visir_util_repack
- Conversion of raw CUBE2 or BURST images to on- and off-cubes
Additional recipes¶
visir_old_img_combine
- Old DRS detector: Images combination recipe
visir_old_img_phot
- Old DRS detector: Sensitivity computation
visir_old_util_destripe
- Old DRS detector: Attempt to remove stripes in spectral data
visir_util_apply_calib
- Attempt to remove stripes in spectral data
visir_util_clip
- Kappa-sigma clipping of outliers for each pixel
visir_util_convert_weight
- Conversion between different weight maps
visir_util_detect_shift
- 2012
visir_util_img_std_cat
- Convert ASCII-file(s) to a FITS standard star catalog
visir_util_join
- Extend the final product with extensions containing its error map, bad pixel map and weight or contribution map
visir_util_qc
- Prepares qc parameters from data where the beam has been deteteced and bad images have been removed
visir_util_run_swarp
- Run swarp program to coadd images.
visir_util_spc_std_cat
- Generate a FITS catalog of spectroscopic standard stars
visir_util_spc_txt2fits
- Generate spectrum calibration FITS tables
visir_util_undistort
- Correct the distortion in spectral data
See also
- The VISIR Pipeline User Manual in PDF format,
- an overview over the existing ESO pipelines,
- the python-cpl package.
Bug reports¶
If you experience an unexpected behavior of any component of the VISIR pipeline recipes package, please, first refer to the list of known problems and limitations in the pipeline manual of the current VISIR pipeline release.
For any other issues or requests, please, send a report to the ESO User Support Department, describing:
- the VISIR pipeline version,
- the version of your OS and C compiler,
- the exact sequence of actions that were performed before the problem occurred,
- what were precisely the symptoms and the possible error message(s),
- whether the problem is repeatable.