Skip to main content
zenodoopen

Redback: A Bayesian inference software package for electromagnetic transients - Example data

<p>Data associated with plots&nbsp;in the publication <em><strong>Redback: A Bayesian inference software package for electromagnetic transients</strong></em>&nbsp;[<a href="https://arxiv.org/abs/2308.12806">arXiv:2308.12806</a>].&nbsp;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&nbsp;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>&nbsp;</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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.