I'm a radio astronomer and spend much of my working life manipulating datasets with AIPS and ParselTongue. Here you will find the current version of the e-MERLIN data reduction pipeline along with some other associated utilities and documentation, as well as some scripts which I've written which others may find useful.
e-MERLIN utilities
Below are some useful scripts I wrote to speed up loading and processing of data taken with the e-MERLIN system. I spent the summer of 2011 working at Jodrell Bank Centre for Astrophysics, helping with e-MERLIN commissioning and early science observations (here's an old article about the upgrade). I got fed up of loading the data by hand, so I decided to script it*. By the end of the summer I also had a working data reduction pipeline. While the pipeline is still in active development, the latest working version can be found here.
To use these scripts with your data, you will need a working version of AIPS (tested with 31DEC11), as well as full installations of both Python (tested with version 2.7) and ParselTongue (tested with version 2.0).
- User guide - full-blown user guide to the pipeline and associated scripts
- readme - brief description of the files and what they do
- eMERLIN_load.py - script to load eMERLIN data from a local disk
- eMERLIN_loadlocal.py - script to load eMERLIN data direct from the archive at JBCA
- eMERLIN_dbcon.py - script to average and DBCON your files post-editing
- readme.calib - detailed description and instructions for running the pipeline
- eMERLIN_pipeline.py - current version of the pipeline
- eMERLIN_tasks.py - task definitions required by the pipeline
- calib.inputs - example inputs file for the pipeline
I now work at ASTRON; comments/corrections/cake to argo@the appropriate domain. Scripts last updated: 20120106.
Other potentially useful things
Looking for the AIPS helpsheet? You poor fool. Note that it is only a memory aid (and it is now somewhat out of date), if you don't know what you're doing then you're probably best off reading the cookbook or the MUG instead, or I'd highly recommend Hans-Rainer Klockner's AIPS tutorial.
Generic AIPS catalogue backup script: AIPSbackup.py - really small script to backup any AIPS catalogue to the current working directory. Change the AIPS disk number if needed.
WSRT loading script: WSRTload.py - specific to one of my current projects, but easily adaptable.
Last updated: Wednesday, 11-Jan-2012 13:56:03 GMT