Rise and fall of the X-ray flash 080330: an off-axis jet?
C. Guidorzi, C. Clemens, S. Kobayashi, J. Granot, A. Melandri, P., D'Avanzo, N.P.M. Kuin, A. Klotz, J.P.U. Fynbo, S. Covino, J. Greiner, D., Malesani, J. Mao, C.G. Mundell, I.A. Steele, P. Jakobsson, R. Margutti, D., Bersier, S. Campana, G. Chincarini, V. D'Elia, D. Fugazza

TL;DR
This paper investigates X-ray flash 080330, demonstrating that an off-axis jet model explains its spectral softness and shallow decay phase, supported by extensive multi-wavelength observations and analysis.
Contribution
It provides evidence that an off-axis jet model can account for the properties of XRF 080330, advancing understanding of XRFs' nature and their relation to classical GRBs.
Findings
Off-axis jet model explains XRF 080330's properties
Achromatic afterglow evolution from 100s to 8x10^4s
Power-law spectral index of 0.79 with negligible dust extinction
Abstract
X-ray flashes (XRFs) are a class of gamma-ray bursts (GRBs) with the peak energy of the time-integrated spectrum, Ep, below 30 keV, whereas classical GRBs have Ep of a few hundreds keV. Apart from Ep and the lower luminosity, the properties of XRFs are typical of the classical GRBs. Yet, the nature of XRFs and the differences from that of GRBs are not understood. In addition, there is no consensus on the interpretation of the shallow decay phase observed in most X-ray afterglows of both XRFs and GRBs. We examine in detail the case of XRF 080330 discovered by Swift at the redshift of 1.51. This burst is representative of the XRF class and exhibits an X-ray shallow decay. The rich and broadband (from NIR to UV) photometric data set we collected across this phase makes it an ideal candidate to test the off-axis jet interpretation proposed to explain both the softness of XRFs and the…
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.
