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Astrophysics > High Energy Astrophysical Phenomena

arXiv:1307.6334 (astro-ph)
[Submitted on 24 Jul 2013]

Title:Fitting Afterglows With Multi-Dimensional Simulations

Authors:Geoffrey Ryan, Hendrik van Eerten, Andrew MacFadyen
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Abstract:We present preliminary data fit results of synthetic light curves computed from numerical afterglow blast wave simulations. Our technique uses Markov chain Monte Carlo (MCMC) in a new data analysis tool, ScaleFit. Scaling relations in both the hydrodynamics and radiation equations allow light curves to be parameterized by a small set of scale-invariant characteristic quantities. These quantities have been calculated and tabulated from high resolution two-dimensional hydrodynamic simulations. Producing a light curve from the characteristics takes only a millisecond, allowing for the use of MCMC data fitting techniques which can require millions of iterations. ScaleFit is a portable, lightweight, python package which performs this analysis on afterglow light curves. Using the set of Swift-XRT light curves from 2011 & 2012 with known redshifts, we find ScaleFit can measure the jet opening angle, observer angle, and spectral index of most afterglows. Globally we find gamma-ray burst afterglows tend to be observed off axis, at a significant fraction of the jet opening angle.
Comments: 8 pages, 3 figures. 7th Huntsville Gamma-Ray Burst Symposium, GRB 2013: paper #30 in eConf Proceedings C1304143
Subjects: High Energy Astrophysical Phenomena (astro-ph.HE)
Cite as: arXiv:1307.6334 [astro-ph.HE]
  (or arXiv:1307.6334v1 [astro-ph.HE] for this version)
  https://doi.org/10.48550/arXiv.1307.6334

Submission history

From: Geoffrey Ryan [view email]
[v1] Wed, 24 Jul 2013 08:47:52 UTC (807 KB)
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