Probing the low-energy particle content of blazar jets through MeV observations
F. Tavecchio, L. Nava, A. Sciaccaluga, P. Coppi

TL;DR
This paper investigates how MeV observations can reveal the low-energy particle populations in blazar jets, especially the thermal-like electron component, which impacts the emitted radiation spectrum.
Contribution
It introduces the potential for MeV spectral observations to detect thermal electron populations in blazar jets, highlighting their influence on emission spectra and the capabilities of upcoming MeV missions.
Findings
Spectral signatures of thermal electron populations are expected around 1 MeV in FSRQs.
Upcoming MeV missions like COSI can constrain the presence of these thermal components.
Thermal electron populations can produce observable excesses over power-law extrapolations in blazar spectra.
Abstract
Many of the blazars observed by Fermi actually have the peak of their time-averaged gamma-ray emission outside the GeV Fermi energy range, at MeV energies. The detailed shape of the emission spectrum around the MeV peak places important constraints on acceleration and radiation mechanisms in the blazar jet and may not be the simple broken power law obtained by extrapolating from the observed X-ray and GeV gamma-ray spectra. In particular, state-of-the-art simulations of particle acceleration by shocks show that a significant fraction (possibly up to ) of the available energy may go into bulk, quasi-thermal heating of the plasma crossing the shock rather than producing a non-thermal power law tail. Other ``gentler" but possibly more pervasive acceleration mechanisms such as shear acceleration at the jet boundary may result in a further build-up of 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.
Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Particle physics theoretical and experimental studies · Computational Physics and Python Applications
