Later, the code was generalized to model dusty gas, dust, and plasma and simulate solar energetic particles' transportation and galactic cosmic rays in planetary magnetospheres. Such an approach allows one to included kinetic effects in a numerical model that go beyond physics described with fluid methods.Īdaptive Mesh Particle Simulator (AMPS) was developed as a general-purpose code for solving the Boltzmann equation in conditions typical for planetary and planetary satellite exospheres. The essence of the approach is that the dusty gas or plasma are represented by many model particles affected by the same physics laws as real ions, dust particles, or gas molecules. In this research, we have used the Monte Carlo code Adaptive Mesh Particle Simulator (AMPS). In particular, the submitted are the results from research related to investigating 1) the structure of hot oxygen corona of Mars, 2) propagation of the energetic particles of solar and galactic origin in the Earth's magnetosphere, and 3) calculation of the variability of the cutoff rigidity of energetic parties at the top of the Earth's atmosphere. The presented figures are illustrations of the prior application of the code. The goal of documenting the code is to make it usable by the community. The submitted is the data used to plot figures 7 and 8 of the paper 'Application of the Monte Carlo method in modeling dusty gas, dust in plasma, and energetic ions in planetary, magnetospheric, and heliospheric environments.' The paper's main focus is documenting Monte Carlo code Adaptive Mesh Particle Simulator (AMPS) developed at the University of Michigan. Journal of Geophysical Research: Space Physics, 126(2), e2020JA028242. Application of the Monte Carlo Method in Modeling Dusty Gas, Dust in Plasma, and Energetic Ions in Planetary, Magnetospheric, and Heliospheric Environments. Tenishev, V., Shou, Y., Borovikov, D., Lee, Y., Fougere, N., Michael, A., & Combi, M.National Aeronautics and Space Administration (NASA).This data represents examples of some applications of AMPS and illustrates the potential of the code for modeling various physical phenomena.Among various numerical methods, the Monte Carlo approach is one of the mostly used methods for numerically solving the kinetic equations, because of the relative simplicity of implementing the method, and a high degree of flexibility in terms of including new physical processes specific to a particular simulated environment.

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