Using interstellar clouds to search for Galactic PeVatrons: gamma-ray signatures from supernova remnants

Author:

Mitchell A M W12ORCID,Rowell G P3,Celli S45ORCID,Einecke S3

Affiliation:

1. Department of Physics, University of Zurich, CH-8057 Zurich, Switzerland

2. Department of Physics, ETH Zurich, CH-8093 Zurich, Switzerland

3. School of Physical Sciences, University of Adelaide, Adelaide, SA 5005, Australia

4. Dipartimento di Fisica dell’Università La Sapienza, P. le Aldo Moro 2, I-00185 Rome, Italy

5. Istituto Nazionale di Fisica Nucleare, Sezione di Roma, P. le Aldo Moro 2, I-00185 Rome, Italy

Abstract

ABSTRACT Interstellar clouds can act as target material for hadronic cosmic rays; gamma rays subsequently produced through inelastic proton–proton collisions and spatially associated with such clouds can provide a key indicator of efficient particle acceleration. However, even in the case that particle acceleration proceeds up to PeV energies, the system of accelerator and nearby target material must fulfil a specific set of conditions in order to produce a detectable gamma-ray flux. In this study, we rigorously characterize the necessary properties of both cloud and accelerator. By using available supernova remnant (SNR) and interstellar cloud catalogues, we produce a ranked shortlist of the most promising target systems, those for which a detectable gamma-ray flux is predicted, in the case that particles are accelerated to PeV energies in a nearby SNR. We discuss detection prospects for future facilities including CTA, LHAASO and SWGO; and compare our predictions with known gamma-ray sources. The four interstellar clouds with the brightest predicted fluxes >100 TeV identified by this model are located at (l,b)  = (330.05, 0.13), (15.82, −0.46), (271.09, −1.26), and (21.97, −0.29). These clouds are consistently bright under a range of model scenarios, including variation in the diffusion coefficient and particle spectrum. On average, a detectable gamma-ray flux is more likely for more massive clouds; systems with lower separation distance between the SNR and cloud; and for slightly older SNRs.

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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