Pointing Offset Calibration

This chart runs the SKA SDP Pointing offset calibration pipeline - which contains python routines for fitting primary beams to cross-correlation visibilities for estimating pointing offsets.

For full details of this pipeline see its Gitlab repository at https://gitlab.com/ska-telescope/sdp/science-pipeline-workflows/ska-sdp-wflow-pointing-offset

The chart currently runs a Kubernetes Job - but this may change!

Values

The following sections detail the configuration values that can be given to this Chart.

Selecting Pointing Offset image

Name	Description	Default
`image`	Overrides the default Docker image of the pointing-offset pipeline to be used	`See Gitlab charts repo`
`version`	Overrides the default image version	`See Gitlab charts repo`
`script`	Overrides the default name of the script	`See Gitlab charts repo`
`imagePullPolicy`	Default Docker image Policy	`IfNotPresent`

Connecting to the data storage Persistent Volume Claim

The top level entry in values.yaml: dataProductStorage. Within this, set the following.

Name	Description	Default
`name`	Name of the PVC to connect to	`test-pvc`
`mountPath`	Path where to mount it within the container	`/mnt/data`

Running Pointing offset pipeline

Name	Description	Default
`command`	Command to run	`pointing-offset`
`args`	Command arguments	`See arguments of the pipeline`
`env`	Optional environemnt variables	`See arguments of the pointing script`

The command arguments should start with the Pipeline action command compute and include, as a minimum, the argument **–msdir=\ **. This is the directory containing the Measurement Sets to process.

Optional Pointing Offset Pipeline arguments

For a list of optional arguments of the pointing offset pipeline see: https://developer.skao.int/projects/ska-sdp-wflow-pointing-offset/en/latest/api/ska_sdp_wflow_pointing_offset/pointing_offset_cli.html