Understanding Martian Subsurface Geochemistry using the Dynamic Albedo of Neutrons Instrument on the Mars Science Laboratory Curiosity Rover Jack Lightholder.

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Presentation transcript:

Understanding Martian Subsurface Geochemistry using the Dynamic Albedo of Neutrons Instrument on the Mars Science Laboratory Curiosity Rover Jack Lightholder Mentor: Dr. Craig Hardgrove

Dynamic Albedo of Neutrons (DAN) Instrument Monitor backscatter time of neutrons to inform subsurface Martian geochemistry. Pulse Neutron Generator (PNG) Output will decay over mission duration He 3 Detector tubes Cadmium coated (thermal neutron detection) Lead coated (epithermal neutron detection)

Experimental Results Thermal and Epithermal neutron counts over time. Snapshot of a local geochemistry. Requires adjustment with respect to PNG decay. Neutrons from the PNG arriving at the detector after backscattering off local environment. Rover structure Soil target

MCNPX Monte Carlo Simulations Monte Carlo sampling to determine statistical convergence simulations for neutron convergence Inputs attempt to match Martian conditions Vary similarity between theoretical subsurface material layer layers Vary depth of each layer Vary composition of each layer APXS data Drill site data Develop modeling grids for running bulk simulations, testing varied permutations of potential inputs

Characterising PNG Decay Impact Impacts statistical correlation to simulation data. Important for future experiment decisions. Locations Experiment duration Provides insight into remaining instrument life. Non-linear decay

Data Correlation Two sample 2 statistical correlation. Adjust DAN data for PNG decay Adjust Monte Carlo simulation for geochemistry Determine goodness of fit between a single DAN data set and all simulations in the modeling grid. Utilize multiple DAN experiment locations to reduce free variables and accurately correlate cause and effect relationships.

Analysis Pipeline Development Develop automated processes for correlating DAN experiments with APXS drill site information. Develop automated processes for parsing Planetary Data System (PDS) data and generating usable DAN experiment data. Develop statistical tests for correlating DAN data with Monte Carlo simulation results. Develop analysis tools for visualizing and representing DAN data for individual experiments and cumulative statistics over mission lifetime.

Conclusions Rover structure backscatter has a notable impact on neutron detector curves. PNG decay is significantly contributing to experimental results and must be considered on a measurement-by-measurement basis Detector decay may be occurring, unevenly, contributing to additional statistical uncertainty.

Questions?