ALMA FITS Keywords
The ALMA Keywords Filler (AKF) CASA task is build to generate and eventually ingest in the headers the new FITS keywords that we suggest could be useful for a generic ALMA archive miner. The AKF is a Python-based script that exploits existing CASA tasks and toolkit (https://casa.nrao.edu/docs/CasaRef/CasaRef.html) .
Detailed information on the definition of the keywords provided by the AKF is presented in the AKF_v2.0_manual (version under revision after referee report).
In the following, the instructions to install the task are described:
- check that astropy, numpy and pyfits are installed
- untar the AKF.tar file into a directory of your choice (e.g., YourHomeDir/ITALIAN_TOOLS)
- enter in that directory (i.e. cd YourHomeDir/ITALIAN_TOOLS)
- launch CASA and run "buildmytasks" in that directory (i.e. os.system(‘buildmytasks’))
- rename mytasks.py in ITtask_AKF.py (i.e. mv mytasks.py ITtask_AKF.py)
- run the ITtask_AKF.py file (i.e. execfile(‘YourHomeDir/ITALIAN_TOOLS/ITtask_AKF.py'))
- you should be able to run the new task in CASA just doing:
inp AKF or tget AKF
The inputs of the task are:
- imName: it is the input image to process and it is a mandatory parameter to provide;
- kwdlist: it consists in the list of keywords to be calculated. The allowed keywords are those of Sect. 3. If the list is not given (kwdlist=[]), all the implemented keywords will be calculated.
- outfile: the name of disk file to write the output could be given. If no outfile name is given, the results will be written only to the terminal;
- include: it allows to ingest the calculated keywords in the FITS headers. The default is false which means that no keywords will be added to the headers.
Below the AKF CASA task
AKF.tar
The scientific application of the AKF task is wide.
lc_J0635-7516.jpg: Here an example of light curves derived using the AKF task for the blazar source J0635-7516 (Bonato et al. 2018).
code_J0635-7516.py: Here the Python code to produce the above light curves.
