The SINFO 2.7.0 pipeline

These pages describe the python interface for the SINFO pipeline recipes.

Standard recipes

sinfo_rec_distortion
Finds optical distortions and slitlets distances
sinfo_rec_detlin
Detector’s linearity & non linear bad pixels determination.
sinfo_rec_mdark
Master dark and hot pixels mask generation.
sinfo_rec_mflat
Master flat determination
sinfo_rec_wavecal
Wavelength calibration and slitpos determination
sinfo_rec_jitter
Object or STD star or PSF star data reduction
sinfo_rec_pupil
Pupil data reduction

Additional recipes

sinfo_utl_bp_mask_add
Add bad pixels masks
sinfo_utl_cube2ima
Cube to image conversion
sinfo_utl_cube2spectrum
Collapse a cube to an image over an aperture
sinfo_utl_cube_arith
Cube arithmetics
sinfo_utl_cube_combine
Coadd cubes in an output cube according to user defined offsets
sinfo_utl_cube_create
Generate a cube
sinfo_utl_ima_arith
Computes result of ima1 op ima2
sinfo_utl_ima_line_corr
Computes result of ima1 op ima2
sinfo_utl_line_oh_select
OH line table creation
sinfo_utl_skycor
Sky lines residuals correction
sinfo_utl_skymap
Flags sky lines as bad pixels, with map generation
sinfo_utl_spectrum_divide_by_blackbody
Spectrum normalization by a blackbody
sinfo_utl_spectrum_wavelength_shift
Spectrum wavelength shift

See also

Bug reports

If you experience an unexpected behavior of any component of the SINFO pipeline recipes package, please, first refer to the list of known problems and limitations in the pipeline manual of the current SINFO pipeline release.

For any other issues or requests, please, send a report to the ESO User Support Department, describing:

  • the SINFO 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.