Voyager 1 Data Reveals Signatures of the Local Gas and Cosmic-Ray Source Distributions
Troy A. Porter, Igor V. Moskalenko, Alan C. Cummings, Guðlaugur Jóhannesson
TL;DR
This work addresses how the local interstellar medium (VLISM), particularly the Local Bubble’s gas structure and a deficit of nearby cosmic-ray sources, biases the interpretation of low-energy CR spectra. It employs the GALPROP framework with data-driven 3D gas distributions (GP2D and S25) and a local source deficit to fit Voyager 1 measurements, assessing how local structure affects inferred propagation. The study finds that reproducing the Voyager low-energy spectra requires both an underdense interior and a nearby source deficit, with the nearest contributing sources around 150–200 pc away, and it supports the presence of a primary Boron component alongside Be/O as a secondary constraint. The results underscore the necessity of incorporating realistic VLISM structure when deriving Galactic propagation parameters from local CR data, with implications for interpreting low-energy CRs and global propagation models.
Abstract
We investigate the effects of the nearby interstellar medium (ISM) on the locally measured cosmic-ray (CR) spectra. Using the GALPROP code we explore how variations in the local gas and source distributions affect spectral features at low energies. Comparing with recent Voyager 1 data taken in the local ISM, we show that for a realistic interstellar gas distribution, the nearest source of the low energy CR particles observed nearby the Solar system is constrained to be within the range ~150-200 pc distant. We find that the modelling supports the conclusion of Cummings et al. (2025) that there is a significant fraction of primary Boron in its observed spectrum at low energies. Our study shows that detailed modelling of the immediate Galactic environment is required to robustly infer Galactic CR propagation parameters from local measurements, and that accounting for nearby ISM structure can alleviate tensions between direct CR data and global propagation models.
