pbjam 1.0.3

A package for peakbagging solar-like oscillators

Peakbagging made easy

PBjam is toolbox for modeling the oscillation spectra of solar-like oscillators. This involves two main parts: identifying a set of modes of interest, and accurately modeling those modes to measure their frequencies.

Currently, the mode identification is based on fitting the asymptotic relation to the l=2,0 pairs, relying on the cumulative sum of prior knowledge gained from NASA’s Kepler mission to inform the fitting process.

Modeling the modes, or ‘peakbagging’, is done using the HMC sampler from pymc3, which fits a Lorentzian to each of the identified modes, with much fewer priors than during he mode ID process. This allows for a more accurate model of the spectrum of frequencies, than the heavily parameterized models like the asymptotic relation.

Read the docs at pbjam.readthedocs.io.

Contributing

If you want to raise and issue or contribute code to PBjam, see the guidelines on contributing.

Authors

There are different ways to contribute to PBjam, the Scientific Influencers help guide the scientific aspects of PBjam, the Chaos Engineers try to break the code or simply report bugs, while the Main Contributors submit Pull Requests with somewhat bigger additions to the code or documentation.

Main Contributors	Chaos Engineers	Scientific Influencers
Lindsey Carboneau	Warrick Ball	Othman Benomar
Guy Davies	Rafa Garcia	Bill Chaplin
Oliver Hall	Tanda Li	Enrico Corsaro
Alex Lyttle	Joel Ong	Patrick Gaulme
Martin Nielsen		Mikkel Lund
		Benoit Mosser
		Andy Moya
		Ian Roxburgh

Acknowledgements

If you use PBjam in your work please cite the PBjam paper (forthcoming), and if possible provide links to the GitHub repository.

We encourage PBjam users to also cite the packages and publications that PBjam makes use of. PBjam will automatically keep track of the publications that were used during a run, and can list them for you in bibtex format (see the Referencing Notebook).