Investigating the dark matter signal in the cosmic ray antiproton flux with the machine learning method

Abstract

We investigate the implications on the dark matter (DM) signal from the AMS-02 cosmic antiproton flux. Global fits to the data are performed under different propagation and hadronic interaction models. The uncertainties from the injection spectrum, propagation effects and solar modulation of the cosmic rays are taken into account comprehensively. Since we need to investigate extended parameter regions with multiple free parameters in the fit, the machine learning method is adopted to maintain a realistic time cost. We find all the effects considered in the fitting process interplay with each other, among which the hadronic interaction model is the most important factor affecting the result. In most hadronic interaction and CR propagation models no DM signal is found with significance larger than $2\sigma$ except that the EPOS-LHC interaction model requires a more than $3\sigma$ DM signal with DM mass around $1\mathrm{TeV}$. For the diffusive reacceleration propagation model there is a highly significant DM signal with mass around $100\mathrm{GeV}$. However, the signal becomes less than $1\sigma$ if we take a charge dependent solar modulation potential in the analysis.

25 pages, 6 figures

References in corpus (19)

• PYTHIA 6.4 Physics and Manual
• Event generation with SHERPA 1.1
• Cosmic-Ray Proton and Helium Spectra from the First CREAM Flight
• Cosmic-ray propagation with DRAGON2: I. numerical solver and astrophysical ingredients
• A Robust Excess in the Cosmic-Ray Antiproton Spectrum: Implications for Annihilating Dark Matter
• Scrutinizing the evidence for dark matter in cosmic-ray antiprotons
• Indications for a high-rigidity break in the cosmic-ray diffusion coefficient
• Cosmic Ray Antiprotons at High Energies
• Production of Mesons and Baryons at High Rapidity and High Pt in Proton-Proton Collisions at sqrt(s) = 200 GeV
• What Does The PAMELA Antiproton Spectrum Tell Us About Dark Matter?
• New calculation of antiproton production by cosmic ray protons and nuclei
• Handling the Uncertainties in the Galactic Dark Matter Distribution for Particle Dark Matter Searches
• Low energy cosmic ray positron fraction explained by charge-sign dependent solar modulation
• Measurement of antiproton production in $\mathrm{pHe}$ collisions at $\sqrt{s_{NN}}=110$ GeV
• Implications of the Cosmic Ray Electron Spectrum and Anisotropy measured with Fermi-LAT
• Bayesian reconstruction of the Milky Way dark matter distribution
• Dark matter for excess of AMS-02 positrons and antiprotons
• Wino Dark Matter in light of the AMS-02 2015 Data
• A dark matter model that reconciles tensions between the cosmic-ray $e^{\pm }$ excess and the gamma-ray and CMB constraints

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