Robbie automates the process of cataloguing sources, finding variables, and identifying transients.
The workflow is described in Hancock et al. 2018 and carries out the following steps:
- Preprocessing:
- Find sources in images
- Compare these catalogues to a reference catalogue
- Use the offsets to model image based distortions
- Make warped/corrected images
- Persistent source catalogue creation:
- Stack the warped images into a cube and form a mean image
- Source find on the mean image to make a master catalogue
- Priorized fit this catalogue into each of the individual images
- Join the catalogues into a single table and calculate variability stats
- Transient candidate identification:
- Use the persistent source to mask known sources from the individual images
- Source find on the masked images to look for transients
- Combine transients tables into a single catalogue, identifying the epoch of each detection
Robbie relies on the following software:
All dependencies except for Nextflow will be installed in the docker image.
The best way to use Robbie is via a docker container that has all the software dependencies installed. Ensure docker is running, then build the container using:
docker build -t paulhancock/robbie-next -f docker/Dockerfile .
or by pulling the latest build from DockerHub via
docker pull paulhancock/robbie-next
Then, install Nextflow with a package management system such as Conda:
conda install -c bioconda nextflow
Once Nextflow is installed, add robbie.nf to your path with
python setup.py install
Robbie now uses Nextflow to manage the workflow and can be run on a local system or a supercomputing cluster. You can use a container via singularity, docker, or the host's software. The current development cycle tests Robbie using singularity on an HPC with the Slurm executor - other setups should work but haven't been extensively tested.
Before running Robbie, you will need to create a text file that contains the paths to each image to be processed. For example, if within the "Robbie" parent directory there exists a folder named "images" containing the .fits files:
ls images/* > images.txt
will populate images.txt with the image paths relative to the parent directory.
This file describes the workflow and can be inspected but shouldn't be edited directly. To describe the command line arguments, use
robbie.nf --help
This file is the configuration setup and contains all the command line arguments' default values. You can change these defaults by copying the nextflow.config and editing the relevant params.<argument>. You can then use your custom config via:
nextflow -C my.config run robbie.nf
The -C my.config directs Nextflow to use only the configuration described in my.config. If you use -c, then it will also read the nextflow.config file.
If you're running Robbie on your local machine, you should use the -profile local option to use the Robbie docker image. For example:
nextflow -C my.config run robbie.nf -profile local
If you're running Robbie on a supercomputing cluster (HPC), you should use the relevant cluster profile (-profile zeus or -profile magnus) to assure you're using the cluster's job queue (such as Slurm). If there isn't a profile for your cluster (check in nextflow.config), you may have to make your own.
Additional configuration files are stored in the ./config directory and may be useful templates for your work.
Firstly, build the Docker image located in the robbie_viewer_server directory:
./build_docker.sh
once this is complete, run the viewer in the main Nextflow directory via:
./run_robbie_viewer.sh
This will run the viewer using the images within the default results directory. If your directory is different to the default, you can add either the relative or absolute path as an optional argument:
./run_robbie_viewer.sh -p path_to_dir
When plotting large images, it is recommended to also specify an RA and DEC position, as well as a size in coordinate units, to cutout a portion of the image for plotting. For example, if we want to plot an image with centre position of RA 335°, DEC -15° and size of 5°:
./run_robbie_viewer.sh path_to_dir 335 -15 5
If you use Robbie as part of your work, please cite Hancock et al. 2018, and link to this repository.
This project relies in part on software development provided by the ADACS merit allocation program for 2022A.
You can obtain a docker image with the Robbie dependencies installed at DockerHub