Quasi-Periodic Oscillations and broadband variability in short magnetar bursts
Daniela Huppenkothen, Anna L. Watts, Phil Uttley, Alexander J. van der, Horst, Michiel van der Klis, Chryssa Kouveliotou, Ersin Gogus, Jonathan, Granot, Simon Vaughan, Mark H. Finger

TL;DR
This paper develops a Bayesian statistical method to search for quasi-periodic oscillations in short magnetar bursts, improving reliability over previous techniques and applying it to data from SGR J0501+4516.
Contribution
It introduces a conservative Bayesian approach for detecting QPOs in short, transient magnetar bursts, addressing data limitations and noise modeling challenges.
Findings
No QPOs detected in unbinned spectra.
A candidate QPO detected in binned spectrum of one burst.
Method proves more reliable in ruling out false positives.
Abstract
The discovery of quasi-periodic oscillations (QPOs) in magnetar giant flares has opened up prospects for neutron star asteroseismology. However, with only three giant flares ever recorded, and only two with data of sufficient quality to search for QPOs, such analysis is seriously data limited. We set out a procedure for doing QPO searches in the far more numerous, short, less energetic magnetar bursts. The short, transient nature of these bursts requires the implementation of sophisticated statistical techniques to make reliable inferences. Using Bayesian statistics, we model the periodogram as a combination of red noise at low frequencies and white noise at high frequencies, which we show is a conservative approach to the problem. We use empirical models to make inferences about the potential signature of periodic and quasi-periodic oscillations at these frequencies. We compare our…
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