GRB 060206 and the quandary of achromatic breaks in afterglow light curves
P.A. Curran, A.J. van der Horst, R.A.M.J. Wijers, R.L.C. Starling,, A.J. Castro-Tirado, J.P.U. Fynbo, J. Gorosabel, A.S. Jarvinen, D. Malesani,, E. Rol, N.R. Tanvir, K. Wiersema, M.R. Burleigh, S.L. Casewell, P.D. Dobbie,, S. Guziy, P. Jakobsson, M. Jelinek, P. Laursen

TL;DR
This paper examines the challenges in identifying achromatic jet breaks in gamma-ray burst afterglows, highlighting differences between optical and X-ray observations and their implications for standard blast wave models.
Contribution
It demonstrates that apparent discrepancies in jet break detection between optical and X-ray data can be reconciled within the standard model, emphasizing cautious interpretation of multi-wavelength afterglow data.
Findings
Achromatic breaks are consistent with standard blast wave models.
Optical and X-ray data may suggest different break signatures.
Swift-era X-ray observations require careful analysis to confirm jet breaks.
Abstract
Gamma-ray burst afterglow observations in the Swift era have a perceived lack of achromatic jet breaks compared to the BeppoSAX era. We present our multi-wavelength analysis of GRB 060206 as an illustrative example of how inferences of jet breaks from optical and X-ray data might differ. The results of temporal and spectral analyses are compared, and attempts are made to fit the data within the context of the standard blast wave model. We find that while the break appears more pronounced in the optical and evidence for it from the X-ray alone is weak, the data are actually consistent with an achromatic break at about 16 hours. This break and the light curves fit standard blast wave models, either as a jet break or as an injection break. As the pre-Swift sample of afterglows are dominated by optical observations, and in the Swift era most well sampled light curves are in the X-ray,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
