Swift observations of the very intense flaring activity of Mrk 421 during 2006: I. Phenomenological picture of electron acceleration and predictions for the MeV/GeV emission
A. Tramacere (1, 2) P. Giommi (3), M. Perri (3), F. Verrecchia (3),, and G. Tosti (4, 5) ((1) CIFS - Torino, Italy, (2) SLAC- CA, USA, (3) ASI, Science Data Center - Italy (4) Dipartimento di Fisica - Perugia, Italy (5), INFN Perugia - Perugia, Italy)

TL;DR
This study analyzes Swift X-ray observations of Mrk 421 during a major flare in 2006, linking spectral features to electron acceleration mechanisms and predicting gamma-ray emission characteristics.
Contribution
It provides a detailed phenomenological model connecting X-ray spectral properties with electron acceleration processes and gamma-ray emission predictions for Mrk 421.
Findings
X-ray spectrum well described by a log-parabolic distribution.
Peak flux correlates with peak energy, which is anti-correlated with spectral curvature.
Electron distribution during flares suggests a curved population with a low-energy tail.
Abstract
We present results from a deep spectral analysis of all the Swift observations of Mrk 421 from April 2006 to July 2006, when it reached its largest X-ray flux recorded until 2006. The peak flux was about 85 milli-Crab in the 2.0-10.0 keV band, with the peak energy (Ep) of the spectral energy distribution (SED) laying often at energies larger than 10 keV. We performed spectral analysis of the Swift observations investigating the trends of the spectral parameters in terms of acceleration and energetic features phenomenologically linked to the SSC model parameters, predicting their effects in the gamma-ray band, in particular the spectral shape expected in the Fermi Gamma-ray Space Telescope-LAT band. We confirm that the X-ray spectrum is well described by a log-parabolic distribution close to Ep, with the peak flux of the SED (Sp) being correlated with Ep, and Ep anti-correlated with 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.
