William M. Farrell

MARSIS radar sounder evidence of buried basins in the northern lowlands of Mars.

A hemispheric dichotomy on Mars is marked by the sharp contrast between the sparsely cratered northern lowland plains and the heavily cratered southern highlands. Mechanisms proposed to remove ancient crust or form younger lowland crust include one or more giant impacts, subcrustal transport by mantle convection, the generation of thinner crust by plate tectonics, and mantle overturn following solidification of an early magma ocean. The age of the northern lowland crust is a significant constraint on these models. The Mars Advanced Radar for Subsurface and Ionospheric Sounding (MARSIS) instrument on the European Space Agency’s Mars Express spacecraft is providing new constraints on the martian subsurface. Here we show evidence of buried impact basins ranging in diameter from about 130 km to 470 km found over ∼14 per cent of the northern lowlands. The number of detected buried basins >200 km in diameter indicates that the lowland crust is ancient, dating back to the Early Noachian epoch. This crater density is a lower limit because of the likelihood that not all buried basins in the area surveyed by MARSIS have been detected. An Early Noachian age for the lowland crust has been previously suggested on the basis of a large number of quasi-circular topographic depressions interpreted to be evidence of buried basins. Only a few of these depressions in the area surveyed by MARSIS, however, correlate with the detected subsurface echoes. On the basis of the MARSIS data, we conclude that the northern lowland crust is at least as old as the oldest exposed highland crust. This suggests that the crustal dichotomy formed early in the geologic evolution of Mars.

Lunar and Martian Dust: Evaluation and Mitigation

Dust is a ubiquitous phenomenon which must be explicitly addressed during upcoming robotic and human planetary exploration missions. The near term plans to revisit the moon as a stepping stone to further exploration of Mars and beyond brings places a primary emphasis on evaluation and mitigation of lunar dust. Comprised of regolith particles ranging in size from tens of nanometers to microns, lunar dust is a manifestation of the complex interaction of the lunar soil with multiple mechanical, electrical, and gravitational effects. Charged dust particles could levitate in the solar wind plasma environment, and may mediate significant differential charging effects with potential harmful consequences, as well as pose toxicological health problems when inhaled. This work outlines the scientific basis for lunar dust behavior, it’s characteristics and potential effects, and surveys several potential strategies for its control and mitigation both for surface operations and inside the habitable working volumes of a lunar outpost. This paper presents a preliminary analysis of dust as a component of the lunar environment, an assessment of it’s potential impacts on lunar exploration, as well as a perspective on lessons learned and information still to be gained from prior exploration. Also presented are the current perspective and planning for dust management activities within NASA’s Exploration Technology Development Program.

AMITIS: A 3D GPU-Based Hybrid-PIC Model for Space and Plasma Physics

We have developed, for the first time, an advanced modeling infrastructure in space simulations (AMITIS) with an embedded three-dimensional self-consistent grid-based hybrid model of plasma (kinetic ions and fluid electrons) that runs entirely on graphics processing units (GPUs). The model uses NVIDIA GPUs and their associated parallel computing platform, CUDA, developed for general purpose processing on GPUs. The model uses a single CPU-GPU pair, where the CPU transfers data between the system and GPU memory, executes CUDA kernels, and writes simulation outputs on the disk. All computations, including moving particles, calculating macroscopic properties of particles on a grid, and solving hybrid model equations are processed on a single GPU. We explain various computing kernels within AMITIS and compare their performance with an already existing well-tested hybrid model of plasma that runs in parallel using multi-CPU platforms. We show that AMITIS runs ~10 times faster than the parallel CPU-based hybrid model. We also introduce an implicit solver for computation of Faradays Equation, resulting in an explicit-implicit scheme for the hybrid model equation. We show that the proposed scheme is stable and accurate. We examine the AMITIS energy conservation and show that the energy is conserved with an error < 0.2% after 500,000 timesteps, even when a very low number of particles per cell is used.