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Satellite-Forming Impact Simulations (Past, Present, and Funded Future) ‏

Brian Enke Southwest Research Institute benke@boulder.swri.edu. Satellite-Forming Impact Simulations (Past, Present, and Funded Future) ‏. Directed Learning (AI)‏ Support Vector Machines (SVMs)‏ Simulation efficiency Increase science ROI. In the beginning.

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Satellite-Forming Impact Simulations (Past, Present, and Funded Future) ‏

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  1. Brian Enke Southwest Research Institute benke@boulder.swri.edu Satellite-FormingImpact Simulations(Past, Present, andFunded Future)‏

  2. Directed Learning (AI)‏ Support Vector Machines (SVMs)‏ Simulation efficiency Increase science ROI In the beginning... 2001: NASA Intelligent Systems project Magnetosphere WANTED: A Few Good Sims... • Continuous parameter landscape • Non-chaotic behaviour • Specific, quantifiable objectives • High dimensionality is OK • Normalized, graded output

  3. Asteroid impact simulations (binaries)‏ Magnetosphere inversions Asteroid impact simulations (SFDs)‏ Titan Radiative Transfer Model Dust-lifting on Mars Mars crater detection Early Candidate Sims: Tools, Collaborators: • SPH: Erik Asphaug • N-body: Derek Richardson • Companion: Zoe Leinhardt • AI: Mike Burl, Dennis DeCoste, Dominic Mazzoni, Lucas Scharenbroich • Grading, scheduling, integration: Brian Enke • Science: Bill Merline, Dan Durda, Bill Bottke

  4. Materials: Basalt (constant)‏ Target Diameter: 100 km (constant)‏ Impactor Velocity (3 -> 7 km/sec)‏ Impact Angle (15 -> 75 degrees)‏ Impactor Diameter ratio (1.0->3.0)‏ (46, 34, 25, 18, 14, 10 km’s) Input Parameters: Early Satellite Results (first grading formula): • Non-catastrophic (>50% mass in LR) • Diameter of combined SMATS / LR • No EEBs! • Threshold of 0.03

  5. 207 Run Grid Simulates a 17x17x21 grid (6069 pts) High res: 3-4, 30-45, 1.8-2.2 Trolling for patterns

  6. 137 Active Learning runs Not bad!

  7. Some Concerns: • Resolution • Impact Angles • Noise • Preserving volume • Grading (no EEBs) • Completion and other AI details.... • FUNDING

  8. Size-Frequency Distributions (no AI) • Emma • Karin • Baptistina

  9. In the present... • Rigid N-body aggregates! • Spins! • More impacts! • … leading to….

  10. Evolution of irregularly shaped binaries (SMATS or EEBs)

  11. Plus... Colors! • Thermal evolution • Source (depth) of binaries

  12. … And Rubble Piles! • Solid or rubble impactors • Limited to spheres/blobs if automated (anything is possible by hand)

  13. … And other materials! • Basalt • Dirty Ice • Iron • Dirty Ice • SMATS • 2.5 km imp. • 1 km/sec Target diam (km)

  14. … And other materials! • Basalt • Dirty Ice • Iron • Dirty Ice • EEBs • 2.5 km imp. • 1 km/sec Target diam (km)

  15. … And other materials! • Basalt • Dirty Ice • Iron • Dirty Ice • SMATS • 2.5 km imp. • 2 km/sec Target diam (km)

  16. … And other materials! • Basalt • Dirty Ice • Iron • Dirty Ice • EEBs • 2.5 km imp. • 2 km/sec Target diam (km)

  17. In the future, All these things plus...

  18. Directed Exploration of Complex Systems • 2 years of funding: NASA AIS • From thresholds to peak values, continuous-valued landscapes • Resource optimization, completion, early termination • Better, variable balance of exploration vs exploitation • Better visualization of results • Higher dimensions, MCMC sampling, sim_explore… • SMATS and EEBs ??? Back to AI…

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