LiSA

LIghtweight Source finding Algorithms for analysis of HI spectral data. This code was developed for the SKA Science Data Challenge #2.

Installation

This pipeline requires python 3. The required python libraries can be installed the setup.sh script:

source setup.sh

Structure

Several different modules are available for data analysis in the modules directory. All algorithms interface through the data via the domain_reader.py classes, which keeps track of the domain decomposition. The pipeline developed for SDC2 is given in pipelines/pipeline.py, and uses all of the modules in this library. The structure of the pipeline is shown in the Figure below:

Running

To run the modules, adjust the config file to point to the location of your data and launch the pipeline as follows:

python pipelnes/pipeline.py path-to-config-file total-number-of-domains domain-number

We also provide example batch scripts in the pipelines directory which run all domains using sarray.