Redback: A Bayesian inference software package for electromagnetic transients - Example data
<p>Data associated with plots in the publication <em><strong>Redback: A Bayesian inference software package for electromagnetic transients</strong></em> [<a href="https://arxiv.org/abs/2308.12806">arXiv:2308.12806</a>]. To reproduce the publication plots, you can use the notebook linked <a href="https://github.com/nikhil-sarin/redback/blob/master/examples/RedbackPaperPlots.ipynb">here</a>.</p> <p>Redback is an open-source, end-to-end Bayesian Inference software package for simulating and fitting electromagnetic transients. It provides an object-orientated Python interface to multiple sampling algorithms, models for several different electromagnetic transients, an interface to download and process the data for multiple transients from various catalogues, simulate transients for real surveys (e.g. ZTF, LSST) and fit the observations through Bayesian inference [<a href="https://github.com/nikhil-sarin/redback/tree/master">github.com/nikhil-sarin/redback</a>]</p> <p> </p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
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