FAST Pipeline for data reduction

INSTRUCTIONS

Prepare data

Be sure your data is put in the test_data folder, with the format downloaded from remote server.

Download the code and install

In your terminal, type git clone https://github.com/PennyQ/FAST-scripts.git to download the code;

Go to the downloaded code directory and install with python setup.py install, this should grab all dependencies and automatically install them.

Run the pipeline - Interactive mode

In the current pipeline directory, type cd pipeline;

Start the pipeline with typing the command in terminal fastpipeline;

Select local mode, follow the instructions on terminal to set object directory

If select remote mode, edit the config_properties.py properly

Output

The plot of results should pop up during the interaction, also, figures are saved in the pipeline/output folder.

Status

Support for remote access is still under development, currently the frequency information can be extracted from remote file set in the config_properties.py.