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Roger Blandford

Roger Blandford. Computational Astrophysics at the Kavli Institute for Particle Astrophysics and Cosmology at Stanford. High Performance Computing @ KIPAC. Truism that steadily increasing computational power has transformed science in general and astrophysics in particular

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Roger Blandford

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  1. Roger Blandford Computational Astrophysicsat the Kavli Institute for Particle Astrophysics and Cosmologyat Stanford Kavli IPMU

  2. High Performance Computing @ KIPAC • Truism that steadily increasing computational power has transformed science in general and astrophysics in particular • High performance computing contributes to: • Simulation of complex physics under current paradigm • Optimization of telescope design • Exploration of model space • Data management, analysis, archiving and mining • Explanation of discoveries • Public dissemination of results • Recent example of each type of computing Kavli IPMU

  3. Simulation of Complex Physics under Current Paradigm • Dark matter clumping in expanding universe • Crucial for understanding: • Missing dwarfs problem • Direct detection of WIMPs • Indirect detection of g-rays • Abel, Hahn, Kaehler have implemented a new approach to dark matter simulations following trajectories in 6D phase space • Testing and comparison with 3D results Kavli IPMU

  4. Warm Dark Matter Simulation Kavli IPMU

  5. Optimizing Telescope Design • Telescopes are typically designed for both specific goals and discoveries • e.g. LSST (2014 start?; 2020 operate?) • Dark energy through weak lensing • Light from distant star • Deflected by intervening gravitational field • Distorted by atmosphere • Reflected by moving mirrors, refracted by thick lenses • Detected and counted by noisy CCD • Analyzed using new algorithms • Peterson, Chang, Bard… are building simulator =>w(a) Kavli IPMU

  6. LSST Simulation Kavli IPMU

  7. Exploration of Model Space • Complex physical processes have to be modeled phenomenologically to tease out empirical rules • e.g. how do we associate luminous galaxies with dark matter and gas distribution • Busha,Wechsler, Kaehler adapt Bolshoi simulation and compare with Sloan survey • Visually indistinguishable • Compare measurable correlation functions • Understand rules in terms of basic physics Kavli IPMU

  8. Bolshoi-SDSS Comparison Kavli IPMU

  9. Data Management, Analysis, Archiving and Mining • Telescopes produce data challenges • e.g. Dubois manages Fermi data pipeline • Event processing in 15 min • Alerts, triggers • 1600 CPUs, 4PB disk, tapes • Back up on campus; 1200 CPU system in Lyon • LSST • 20 TB per night=>60 PB raw data, 15 PB for catalog • =>300PB data volume; >150 Tflops Kavli IPMU

  10. Fermi MISSION ELEMENTS Large Area Telescope & GBM m • sec GPS • - • Telemetry 1 kbps Fermi Spacecraft • TDRSS SN S & Ku DELTA 7920H • • S - - • GN • LAT Instrument Science Operations Center (SLAC) White Sands Schedules Mission Operations Center (MOC) Fermi Science Support Center HEASARC Schedules GRB Coordinates Network GBM Instrument Operations Center Alerts Data, Command Loads Kavli IPMU

  11. Explanation of Discoveries • Unexpected is expected in astronomy • Many astrophysical phenomena have no credible (or many incredible) explanations • e.g. X-ray quasi-periodic oscillations in stellar black hole systems ~ 300 Hz, 3:2? • McKinney, Tchekhovskoy, RB simulated accretion onto black hole with strong field • 3D RMHD, >106m, geometries initial conditions • Efficient, quasi-stable jets, extract spin energy • Outflows, winds, Jet-Disk Oscillation • Relativistic radiative transfer underway Kavli IPMU

  12. Kavli IPMU

  13. Public Dissemination of Results • Education and Public Outreach is important part of KIPAC mission • Staff, postdocs and students regularly present shows, lead tours, visit schools… • Pierre Schwob Computing and Information Center hosts 3D theater and Hyperwall • Analysis AND outreach • New graphics, rendering tools, hardware • GPUs, suitcase system Kavli IPMU

  14. Third Grade in 3D Kavli IPMU

  15. Summary • Truism that steadily increasing computational power has transformed science in general and astrophysics in particular • High performance computing contributes to: • Simulation of complex physics under current paradigm • Optimization of telescope design • Exploration of model space • Data management, analysis, archiving and mining • Explanation of discoveries • Public dissemination of results • Increasingly, these functions are combined in strongly coupled activities Kavli IPMU

  16. Congratulations Kavli IPMU

  17. Reionization (Alvarez et al) Kavli IPMU

  18. Dark matter streams (Hahn et al) Kavli IPMU

  19. Large scale structure (Abel et al) Kavli IPMU

  20. Clusters (Wu et al) Kavli IPMU

  21. Hyperwall (Adesanya…) Kavli IPMU

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