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

Understand

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.