Magnetron: Fitting bursts from magnetars

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Ada Coda
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Magnetron: Fitting bursts from magnetars

Post by Ada Coda » Wed Feb 11, 2015 2:16 pm

[c]Magnetron: Fitting bursts from magnetars[/c][/b]
Abstract: Magnetron, written in Python, decomposes magnetar bursts into a superposition of small spike-like features with a simple functional form, where the number of model components is itself part of the inference problem. Markov Chain Monte Carlo (MCMC) sampling and reversible jumps between models with different numbers of parameters are used to characterize the posterior distributions of the model parameters and the number of components per burst.

Credit: Huppenkothen, Daniela; Brewer, Brendon J.; Hogg, David W.; Murray, Iain; Frean, Marcus


Bibcode: 2015ascl.soft02014H

ID: ascl:1502.014
Last edited by Ada Coda on Mon Feb 04, 2019 6:59 pm, edited 1 time in total.
Reason: Updated code entry.

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