Daniela Huppenkothen, Brendon J. Brewer, David W. Hogg, Iain Murray, Marcus Frean, Chris Elenbaas, Anna L. Watts, Yuri Levin, Alexander J. Van Der Horst, Chryssa Kouveliotou

    Research output: Contribution to journalArticlepeer-review


    Neutron stars are a prime laboratory for testing physical processes under conditions of strong gravity, high density, and extreme magnetic fields. Among the zoo of neutron star phenomena, magnetars stand out for their bursting behavior, ranging from extremely bright, rare giant flares to numerous, less energetic recurrent bursts. The exact trigger and emission mechanisms for these bursts are not known; favored models involve either a crust fracture and subsequent energy release into the magnetosphere, or explosive reconnection of magnetic field lines. In the absence of a predictive model, understanding the physical processes responsible for magnetar burst variability is difficult. Here, we develop an empirical model that 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. The cascades of spikes that we model might be formed by avalanches of reconnection, or crust rupture aftershocks. Using Markov Chain Monte Carlo sampling augmented with reversible jumps between models with different numbers of parameters, we characterize the posterior distributions of the model parameters and the number of components per burst. We relate these model parameters to physical quantities in the system, and show for the first time that the variability within a burst does not conform to predictions from ideas of self-organized criticality. We also examine how well the properties of the spikes fit the predictions of simplified cascade models for the different trigger mechanisms.

    Original languageEnglish (US)
    Article number66
    JournalAstrophysical Journal
    Issue number1
    StatePublished - Sep 1 2015


    • X-rays: bursts
    • methods: data analysis
    • methods: statistical
    • pulsars: individual (SGR J1550-5418)
    • stars: magnetars
    • stars: magnetic field

    ASJC Scopus subject areas

    • Astronomy and Astrophysics
    • Space and Planetary Science


    Dive into the research topics of 'DISSECTING MAGNETAR VARIABILITY WITH BAYESIAN HIERARCHICAL MODELS'. Together they form a unique fingerprint.

    Cite this