Uncertainties of Cosmic Ray Spectra and Detectability of Antiproton mSUGRA Contributions With PAMELA
A. M. Lionetto, A. Morselli, V. Zdravkovic
TL;DR
This work quantifies uncertainties in cosmic-ray secondary spectra arising from Milky Way propagation and cross sections using Galprop constrained by B/C data, and then evaluates PAMELA's ability to detect a neutralino annihilation–driven antiproton component within the mSUGRA framework. It combines ISASUGRA for SUSY spectra, DarkSUSY for annihilation physics, Pythia for yields, and a clumpy-halo model to boost the SUSY signal, all propagated with a DC model consistent with Galactic convection. The authors find that PAMELA could disentangle a supersymmetric antiproton component for modest clumpiness factors (roughly $fd$ of order 1–10) in many parameter regions, with more stringent requirements in some backgrounds, and highlight the importance of DM halo structure and cross-section uncertainties. Overall, the study underscores PAMELA's potential to constrain or reveal supersymmetric DM signals while emphasizing the need for accurate propagation, cross sections, and halo modeling to interpret the data.
Abstract
We studied the variation of $e^+$ and $\bar p$ top of the atmosphere spectra due to the parameters uncertainties of the Milky Way geometry, propagation models and cross sections. We used the B/C data and Galprop code for the propagation analysis. We also derived the uncertainty bands for subFe/Fe ratio, H and He. Finally, we considered a neutralino induced component in the antiproton flux in the mSUGRA framework. PAMELA expectations for positrons and antiprotons are calculated. We studied in details the possibility of disentanglement of an eventual signal component in the antiproton spectra in a clumpy halo scenario: minimal values of clumpiness factors necessary to disentangle the signal from the background without violating the quality of the antiproton data fit are found. There are also given examples of total spectra in comparison with existing experimental data and an example of PAMELA prediction for the total spectra. The main result of this work is that for the diffusion and convection background model PAMELA will be able to disentangle an eventual supersymmetric signal even for small clumpiness factors.
