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Galactic cosmic rays (GCRs) are affected by solar modulation while theypropagate through the heliosphere. The study of the time variation of GCRspectra observed at Earth can shed light on the underlying physical processes,specifically diffusion and particle drifts. We combine a state-of-the art 3Dnumerical model of GCR transport in the heliosphere with aneural-network-accelerated Markov chain Monte Carlo to constrain the rigidityand time dependence of the global transport coefficients, using precise GCRdata from the PAMELA and AMS-02 experiments between 2006 and 2019.

Constraining the global heliospheric transport of galactic cosmic rays in solar cycles 23 and 24