survey_selavy_beam¶
Generate parsets and sbatch scripts to run selavy on RACS single beam images.
Output images are not written to conserve disk space.
The selavy job for each beam in the given field will be run in the same job allocation in serial. If the field is complex, you may need to increase the time limit. Experience suggests that the source finding for most RACS beams should complete within 10 minutes.
- Example usage:
survey_selavy_beam.py –submit selavy.in.template path/to/field_dir
The above will create a selavy parset and sbatch script for each beam image within path/to/field_dir. The beam image filenames are assumed to follow typical pipeline naming convention i.e. image.i.SBXXXX.cont.RACS_test4_1.05_XXXXXXXX.beamXX.taylor.X.restored.fits. The parset_template is a selavy parset which must contain the following string format placeholders:
{image} – the path to the single beam image. {image_base} – the basename of the single beam image. Useful for naming outputs. {sbid} – the observation SBID.
Outputs will be written to fields/<field_name> in the current working directory.
Module Contents¶
Functions¶
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