https://github.com/adonath/snakemake-workflow-chandra
A Snakemake workflow for Chandra data reduction
Science Score: 46.0%
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✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
2 of 3 committers (66.7%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (12.8%) to scientific vocabulary
Keywords
Repository
A Snakemake workflow for Chandra data reduction
Basic Info
Statistics
- Stars: 1
- Watchers: 2
- Forks: 1
- Open Issues: 2
- Releases: 0
Topics
Metadata Files
README.md
Snakemake Workflow for Chandra Data Reduction
This is an example snakemake workflow for data reduction of Chandra data.
The workflow will run the standrad ciao tools for a given configuration
and produce as output FITS files. Thereby it will handle the reduction of
counts, exposure and point spread function (PSF).
Getting Started
Use as Snakemake Module (recommended)
If you would like use this as Snakmake module you should add e.g. the following to your Snakefile:
```python3 module chandradataworkflow: snakefile: # here, plain paths, URLs and the special markers for code hosting providers (see below) are possible. github("adonath/snakemake-workflow-chandra", path="workflow/Snakefile", branch="main") config: config["chandra-data"]
use rule * from chandradataworkflow as chandradata* ```
See also https://snakemake.readthedocs.io/en/stable/snakefiles/modularization.html#modularization
Setup Environment
Start by cloning this repository to your local machine:
bash
git clone https://github.com/adonath/snakemake-workflow-chandra.git
If you havn't done yet, please install conda or mamba.
Now change to the directory of the repository:
bash
cd snakemake-workflow-chandra/
And create the conda environment using:
bash
mamba env create -f environment.yaml
Once the process is done you can activate the environment:
bash
conda activate snakemake-workflow-chandra
Configure and Run the Workflow
Now you should adapt the configuration in config/config.yaml to match your data.
Then you are ready to run the workflow, like:
bash
snakemake --cores 8 --use-conda --configfile config/config.yaml
You can also create a report to see previews of the counts, exposure and PSF images:
bash
snakemake --report report.html
open report.html
You can also create a directed acyclic graph (DAG) visualization of the workflow:
bash
snakemake --dag | dot -Tpng > dag.png
Owner
- Name: Axel Donath
- Login: adonath
- Kind: user
- Location: Cambridge, MA
- Company: Center for Astrophysics | Havard & Smithonian
- Website: https://axeldonath.com
- Repositories: 68
- Profile: https://github.com/adonath
I'm a Postdoc researcher at Center for Astrophysics. I work on statistical methods for analysis of low counts astronomical data.
GitHub Events
Total
- Issues event: 2
- Watch event: 1
- Issue comment event: 1
- Push event: 8
- Fork event: 2
Last Year
- Issues event: 2
- Watch event: 1
- Issue comment event: 1
- Push event: 8
- Fork event: 2
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Axel Donath | a****h@c****u | 50 |
| Axel Donath | a****h | 11 |
| Axel Donath | a****h@m****e | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 3
- Total pull requests: 0
- Average time to close issues: 3 months
- Average time to close pull requests: N/A
- Total issue authors: 3
- Total pull request authors: 0
- Average comments per issue: 1.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 2
- Pull request authors: 0
- Average comments per issue: 0.5
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- adonath (1)
- zknutson (1)
- DougBurke (1)
Pull Request Authors
Top Labels
Issue Labels
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Dependencies
- actions/cache v2 composite
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2 composite