ALMA FITS Keywords

The ALMA Keywords Filler (AKF) is a Python-based script that exploits existing CASA tasks and toolkit (https://casa.nrao.edu/docs/CasaRef/CasaRef.html)
It consists of two codes (that could eventually be called in sequence): 1. AKF_v1.0_ms.py: it generates the following keywords: It requires that (only) the ms from which the input FITS image was produced is in the same folder as the image. Since the program browses the ms tables, it can take some minutes to run (and up to ~30 min for the biggest datasets as large as 100 Gb). However, it is possible to request the production of only specific keywords. 2. AKF_v1.0_fits.py: it generates the keywords listed in Sect. 3.2. It calculates the values from the image itself and it is usually faster than the ms code. Also in this case it is possible to produce all or a selection of the keywords.

Detailed information on the keywords definition are presented here .
The result of the codes is a Python dictionary.

In the following, the instructions to launch the codes are described:

• enter the folder (yourDir) where your fits files and ms are stored
• launch CASA (any version > 5.0)
• define the image to process
• imageName = 'yourDir/yourImage.fits'
• define the list of keywords you want calculate
• kwdlist =['KWDi', 'KWDj',......, 'KWDk'] where KWDi,j,k are one or more keywords belong to the same category, either data acquisition or image description keywords
• launch the correct code according to the requested category of keywords with

  execfile('AKF_v1.0_ms.py') and/or execfile('AKF_v1.0_fits.py') 

Below the codes: AKF_v1.0_fits.py
AKF_v1.0_ms.py