imager_finalize

Master Side of the recipe

class lofarpipe.recipes.master.imager_finalize.imager_finalize

The Imager_finalizer performs a number of steps needed for integrating the msss_imager_pipeline in the LOFAR framework: It places the image on the output location in the correcy image type (hdf5). It also adds some meta data collected from the individual measurement sets and the found data.

This recipe does not have positional commandline arguments

Recipe inputs

Parameters:

• awimager_output_map – (FileField) Mapfile containing (host, path) pairs of created sky images (FileField)
• fillrootimagegroup_exec – (ExecField) Full path to the fillRootImageGroup executable (ExecField)
• maxbaseline – (FloatField) Maximum length of the baseline used for the images (FloatField)
• minbaseline – (FloatField) Minimum length of the baseline used for the images (FloatField)
• output_image_mapfile – (FileField) mapfile containing (host, path) pairs with the final output image (hdf5) location (FileField)
• placed_image_mapfile – (FileField) location of mapfile with proced and correctly placed, hdf5 images (FileField)
• processed_ms_dir – (StringField) Path to directory for processed measurment sets (StringField)
• raw_ms_per_image_map – (FileField) Mapfile containing (host, path) pairs of mapfiles used to create image on that node (FileField)
• sourcelist_map – (FileField) mapfile containing (host, path) pairs to a list of sources found in the image (FileField)
• target_mapfile – (FileField) Mapfile containing (host, path) pairs to the concatenated andcombined measurement set, the source for the actual sky image (FileField)

Recipe outputs (job.results[parameter])

Parameters:placed_image_mapfile – (StringField) (StringField)

go()

Steps:

1. Load and validate the input datamaps
2. Run the node parts of the recipe
3. Validate node output and format the recipe output

Node Side of the recipe

class lofarpipe.recipes.nodes.imager_finalize.imager_finalize(job_id, host, port)

This script performs the folowing functions:

1. Add the image info to the casa image: addimg.addImagingInfo (imageName, msNames, sourcedbName, minbl, maxbl)
2. Convert the image to hdf5 image format:
3. Filling of the HDF5 root group
4. Return the outputs

run(awimager_output, raw_ms_per_image, sourcelist, target, output_image, minbaseline, maxbaseline, processed_ms_dir, fillrootimagegroup_exec)

Parameters:

• awimager_output – Path to the casa image produced by awimager
• raw_ms_per_image – The X (90) measurements set scheduled to create the image
• sourcelist – list of sources found in the image
• target – <unused>
• minbaseline – Minimum baseline used for the image
• maxbaseline – largest/maximum baseline used for the image
• processed_ms_dir – The X (90) measurements set actually used to create the image
• fillrootimagegroup_exec – Executable used to add image data to the hdf5 image

Return type:

self.outputs[‘hdf5’] set to “succes” to signal node succes

Return type:

self.outputs[‘image’] path to the produced hdf5 image