https://github.com/cloe-org/darkflipper
Dark Energy Figure of Merit and Figure of Bias calculations for Likelihood pipelines
https://github.com/cloe-org/darkflipper
cosmology cosmology-inference statistics
Last synced: 5 months ago
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Dark Energy Figure of Merit and Figure of Bias calculations for Likelihood pipelines
- Host: GitHub
- URL: https://github.com/cloe-org/darkflipper
- Owner: cloe-org
- License: gpl-3.0
- Created: 2025-01-06T20:32:37.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-03T14:34:12.000Z (over 1 year ago)
- Last Synced: 2025-06-25T06:29:47.586Z (12 months ago)
- Topics: cosmology, cosmology-inference, statistics
- Language: Jupyter Notebook
- Homepage:
- Size: 64.5 KB
- Stars: 0
- Watchers: 5
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
**Flip the dark side of statistics in cosmology.**
Figures of Merit, Bias, and statistical diagnostics such as p-values and much more.
---
## 🐬 What is _darkflipper_?
`darkflipper` is a lightweight Python package delivering **essential statistical tools for cosmology** at ease:
It’s designed for scientists who:
- are investigating systematics in cosmological data
- care about **Figures of Merit** _and_ **Figures of Bias** in cosmological inference
- want results that are robust, transparent, and publication-ready without worrying about definitions
---
## 📦 Installation
One command.
```sh
pip install darkflipper
```
---
## 🧩 Requirements
`darkflipper` plays nicely with the standard packages:
- Python ≥ 3.8
- `numpy`
- `scipy`
- `matplotlib`
- `getdist`
- `shapely`
---
## 🤝 Contributing
Want to help shape the dark side? We’d love to have you.
1. **Open an issue** to discuss your idea — new feature, new statistics, or all-dreamy thought
2. **Create a feature branch**
```sh
git checkout -b feature/your-feature-name
```
3. **Commit your work**
```sh
git commit -m "Add awesome feature"
```
4. **Push it**
```sh
git push origin feature/your-feature-name
```
5. **Open a pull request** and let’s flip it together ✨