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Steep Cosmic Ray Spectra with Revised Diffusive Shock Acceleration

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arxiv 2107.08520 v2 pith:7A7TTFVQ submitted 2021-07-18 astro-ph.HE

Steep Cosmic Ray Spectra with Revised Diffusive Shock Acceleration

classification astro-ph.HE
keywords spectrasteepaccelerationdistributionsenergyshockcosmicdiffusive
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Galactic cosmic rays (CRs) are accelerated at the forward shocks of supernova remnants (SNRs) via diffusive shock acceleration (DSA), an efficient acceleration mechanism that predicts power-law energy distributions of CRs. However, observations of nonthermal SNR emission imply CR energy distributions that are generally steeper than $E^{-2}$, the standard DSA prediction. Recent results from kinetic hybrid simulations suggest that such steep spectra may arise from the drift of magnetic structures with respect to the thermal plasma downstream of the shock. Using a semi-analytic model of non-linear DSA, we investigate the implications that these results have on the phenomenology of a wide range of SNRs. By accounting for the motion of magnetic structures in the downstream, we produce CR energy distributions that are substantially steeper than $E^{-2}$ and consistent with observations. Our formalism reproduces both modestly steep spectra of Galactic supernova remnants ($\propto E^{-2.2}$) and the very steep spectra of young radio supernovae ($\propto E^{-3}$).

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Deep Learning Analysis of Ions Accelerated at Shocks

    astro-ph.HE 2025-11 conditional novelty 6.0

    A convolutional neural network can predict with >90% accuracy whether an ion at a collisionless shock is injected into acceleration, using only the local magnetic field time series from its first few gyrations.

  2. CRESCENDO II: Spectral cosmic rays with improved energy losses and realistic supernova seeding

    astro-ph.HE 2026-07 conditional novelty 5.0

    CRESCENDO's spectral cosmic-ray solver now includes improved energy-loss processes, non-ultra-relativistic energy/pressure integrals, and supernova-remnant template injection.