satellite-forming impact simulations (past, present, and funded future)
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Brian Enke Southwest Research Institute [email protected]. Satellite-Forming Impact Simulations (Past, Present, and Funded Future) . Directed Learning (AI) Support Vector Machines (SVMs) Simulation efficiency Increase science ROI. In the beginning. - PowerPoint PPT PresentationTRANSCRIPT
Satellite-FormingImpact Simulations
(Past, Present, andFunded Future)
Brian Enke
Southwest Research Institute
In the beginning...
Directed Learning (AI) Support Vector Machines (SVMs) Simulation efficiency Increase science ROI
Continuous parameter landscape Non-chaotic behaviour Specific, quantifiable objectives High dimensionality is OK Normalized, graded output
2001: NASA Intelligent Systems project
WANTED: A Few Good Sims...
Magnetosphere
Asteroid impact simulations (binaries) Magnetosphere inversions Asteroid impact simulations (SFDs) Titan Radiative Transfer Model Dust-lifting on Mars Mars crater detection
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
Early Candidate Sims:
Tools, Collaborators:
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)
Non-catastrophic (>50% mass in LR) Diameter of combined SMATS / LR No EEBs! Threshold of 0.03
Input Parameters:
Early Satellite Results (first grading formula):
207 Run Grid
Simulates a 17x17x21 grid (6069 pts)
High res: 3-4, 30-45, 1.8-2.2
Trolling for patterns
137 Active Learning runs
Not bad!
Resolution
Impact Angles
Noise
Preserving volume
Grading (no EEBs)
Completion and other AI details....
FUNDING
Some Concerns:
Emma
Karin
Baptistina
Size-Frequency Distributions(no AI)
In the present... Rigid N-body aggregates!
Spins!
More impacts!
… leading to….
Evolution of irregularly shaped binaries(SMATS or EEBs)
Plus... Colors!
Thermal evolution
Source (depth) of binaries
… And Rubble Piles!
Solid or rubble impactors
Limited to spheres/blobs if automated (anything is possible by hand)
… And other materials!
Basalt
Dirty Ice
Iron
Dirty Ice
SMATS
2.5 km imp.
1 km/sec
Target diam (km)
… And other materials!
Basalt
Dirty Ice
Iron
Dirty Ice
EEBs
2.5 km imp.
1 km/sec
Target diam (km)
… And other materials!
Basalt
Dirty Ice
Iron
Dirty Ice
SMATS
2.5 km imp.
2 km/sec
Target diam (km)
… And other materials!
Basalt
Dirty Ice
Iron
Dirty Ice
EEBs
2.5 km imp.
2 km/sec
Target diam (km)
In the future,All these thingsplus...
Back to AI… 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 ???
Directed Exploration
of Complex Systems