The KMOS 2.1.0 pipeline

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

Standard recipes

kmos_dark
Create master dark frame & bad pixel mask
kmos_flat
Create master flatfield frame and badpixel map
kmos_illumination
Create a frame to correct spatial non-uniformity of flatfield
kmos_sci_red
Reconstruct obj/sky-pairs individually and combine them afterwards
kmos_std_star
Create the telluric correction frame.
kmos_wave_cal
Create a wavelength calibration frame

Additional recipes

kmo_arithmetic
Perform basic arithmetic on cubes
kmo_copy
Copy a section of a cube to another cube, image or spectrum
kmo_fit_profile
Fit spectral line profiles as well as spatial profiles with a simple function - for example to measure resolution or find the centre of a source
kmo_fits_strip
Strip noise, rotator and/or empty extensions from a processed KMOS fits frame
kmo_make_image
Collapse a cube to create a spatial image
kmo_noise_map
Generate a noise map from a raw frame
kmo_rotate
Rotate a cube spatially
kmo_shift
Shift a cube spatially
kmo_sky_mask
Create a mask of spatial pixels that indicates which pixels can be considered as sky.
kmo_stats
Perform basic statistics on a KMOS-conform fits-file
kmos_combine
Combine reconstructed cubes
kmos_extract_spec
Extract a spectrum from a cube
kmos_gen_reflines
Create REFLINES calibration file
kmos_gen_telluric
Generate a TELLURIC frame
kmos_reconstruct
Performs the cube reconstruction
kmos_sky_tweak
Removal of OH sky lines
kmos_test
Testing

See also

Bug reports

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

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

  • the KMOS 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.