ddf-pipeline
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mhardcastle
LOFAR pipeline using killms/ddfacet
Hi, the mosaic image from mosaic.py contains a small number of pixels outside of the beam factor used for blanking which are not set to NaN. While this is not...
The data that goes into dynspecms is before astrometric correction so there will be larger errors in the positions and the dynspecms probably wont be taken on the optimal pixel...
A potential issue with the DR2 dd calibration is that in some cases I think it is creating fake polarised sources throughout a field where it happens that one of...
MakeMask.py has the ds9mask and it might be handy to add this as an option in the pipeline to e.g. help situations where masking goes wrong or to force it...
Working on a galactic field. One of the identified issue for me is that the noise is higher is the galactic fields, and there are "less" sources to calibrate against...
It would be interesting to see whether we could run the pipeline at a factor 2 to 3 higher resolution using the short end of the international baselines. If successful,...
Test dataset
Seems important to have a test full bandwidth and duration dataset that we can fairly rapidly run through ddf-pipeline to test different parameters etc. Thoughts on what we could get...
Ken suggests using masks derived from the 2MASS LGA: http://irsa.ipac.caltech.edu/applications/2MASS/LGA/atlas.html http://irsa.ipac.caltech.edu/applications/2MASS/LGA/2MASS_LGA_photometry.tbl This might solve the poor astrometric accuracy around some bright objects.
Maybe helpful to add (and define) some diagnostic plots that are produced during the pipeline run to e.g. solutions
I'm taking a look at the pipeline.py script. And I'm wondering if it wouldn't be better to use and invoque `DDF.py TemplateLOFAR.parset --MSName = ...` Instead of DDF.py plus a...