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On spectral evolution and temporal binning in gamma-ray bursts
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics.ORCID iD: 0000-0003-3345-9515
2014 (English)In: Monthly notices of the Royal Astronomical Society, ISSN 0035-8711, E-ISSN 1365-2966, Vol. 445, no 3, 2589-2598 p.Article in journal (Refereed) Published
Abstract [en]

The understanding of the prompt gamma-ray spectra of gamma-ray bursts (GRBs) is of great importance to correctly interpret the physical mechanisms that produce the underlying event as well as the structure of the relativistic jet from which the emission emanates. Time-resolved analysis of these spectra is the main method of extracting information from the data. In this work, several techniques for temporal binning of GRB spectra are examined to understand the systematics associated with each with the goal of finding the best method(s) to bin light curves for analysis. The following binning methods are examined: constant cadence (CC), Bayesian blocks (BBs), signal-to-noise (S/N) and Knuth bins (KB). I find that both the KB and BB methods reconstruct the intrinsic spectral evolution accurately while the S/N method fails in most cases. The CC method is accurate when the cadence is not too coarse but does not necessarily bin the data based on the true source variability. Additionally, the integrated pulse properties are investigated and compared to the time-resolved properties. If intrinsic spectral evolution is present, then the integrated properties are not useful in identifying physical and cosmological properties of GRBs without knowing the physical emission mechanism and its evolution.

Place, publisher, year, edition, pages
2014. Vol. 445, no 3, 2589-2598 p.
Keyword [en]
methods: data analysis, gamma-ray burst: general
National Category
Astronomy, Astrophysics and Cosmology
URN: urn:nbn:se:kth:diva-160073DOI: 10.1093/mnras/stu1925ISI: 000346962900036ScopusID: 2-s2.0-84924584987OAI: diva2:791096

QC 20150225

Available from: 2015-02-26 Created: 2015-02-13 Last updated: 2015-02-26Bibliographically approved

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Burgess, J. Michael
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