1. Center for Radiative Shock Hydrodynamics Introductory overview R. Paul Drake

2. Page 2 We will take you from overviews to specifics This first presentation –Motivation and introduction to the physical system –Overview of the experiments and of the project Overviews this morning –Powell on the simulation –Holloway on assessment of predictive capability Code and verification this afternoon –Toth on architecture and practices –Myra on tests Assessing predictive capability in the morning –Bingham on our first integrated study –Fryxell on 3D sensitivity runs Posters today –See the details and meet the people You will see how our priorities have been driven by becoming able to assess the capability of our code to predict our year 5 data.

3. Page 3 We find our motivation in astrophysical connections Radiative shocks have strong radiative energy transport that determines the shock structure Exist throughout astrophysics –Supernovae, accretion, stars, supernova remnants, collisions Our experiments –have behavior and dimensionless parameters relevant to shocks emerging from supernovae –We should see any important unanticipated physics –Good code test in any event Ensman & Burrows ApJ92 Reighard PoP07

4. Page 4 A brief primer on shock wave structure Behind the shock, the faster sound waves connect the entire plasma Denser, Hotter Initial plasma Shock velocity, u s Mach number M > 1 unshocked shocked Mach number M = u s / c sound

5. Page 5 Shock waves become radiative when … radiative energy flux would exceed incoming material energy flux where post-shock temperature is proportional to u s 2. Setting these fluxes equal gives a threshold velocity of 60 km/s for our system: Material xenon gas Density 6.5 mg/cc Initial shock velocity200 km/s shocked unshocked preheated  T s 4  o u s 3 /2 Initial ion temperature 2 keV Typ. radiation temp. 50 eV

6. Page 6 The CRASH project began with several elements An experimental system that is challenging to model and relevant to NNSA, motivated by astrophysics A 3D adaptive, well scaled, magnetohydrodynamic (MHD) code with a 15 year legacy and many users A 3D deterministic radiative transfer code developed for parallel platforms A strong V&V tradition with both codes Some ideas about how to approach “UQ” in general and specifically the Assessment of Predictive Capability Space weather simulation

7. Page 7 CRASH builds on a basic experiment Basic Experiment: Radiography is the primary diagnostic. Additional data from other diagnostics. A. Reighard et al. Phys. Plas. 2006, 2007 F. Doss, et al. HEDP, submitted 2009 Schematic of radiograph Grid

8. Page 8 We have identified key parameters for the code/experiment comparison Key measurements at data time –Basic (1D) Shock position Layer thickness –Multi-D Distance of kink in shock from tube wall Angle of xenon edge just downstream of shock

9. Page 9 Our experimental sequence will improve and test our assessment of predictive capability A conceptually simple experiment –Launch a Be plasma down a shock tube at ~ 200 km/s Year 5 experiment –Predict outcome and accuracy before doing year 5 experiment Goals –Improve predictive accuracy during project –Demonstrate a predictive uncertainty comparable to the observed experimental variability –A big challenge and achievement

10. Page 10 Last April we reported a CRASH 1.0 3D simulation of the year 5 experiment DensityTemperature Initialized by calibrated laser code, to be discussed by Ken Side view Top view 2008 IRT: The project will live or die based on whether a “reasonably good code” can be built This font color highlights responses to 2008 IRT recommendations

11. Page 11 The CRASH research process incorporates many UQ elements. Culture change is here.

12. Page 12 UQ considerations have driven the project to date Had to become able to Assess Predictive Capability –Develop a “reasonably good” code –Code tests and physics tests –“Drill-down” documentation system –Variability of base experiment (10/08) –Early data to calibrate inputs (12/09) –Learn enough to define the CRASH UQ methodology –Tests of UQ methods We are using the tools we have assembled –Going forward, UQ analysis must tell us what code to write, what experiments to do, and what UQ to do Working independently on additional diagnostics –X-ray and imaging Thomson Scattering

13. Page 13 We are organized to bring leadership and effort to all areas where they are needed Most of our team members participate in more than one area (details in supplementary material) We use our resource plan, our work plan, and UQ considerations to inform priority decisions

14. Page 14 We have expanded our theoretical work The IRT recommended more effort in analytic theory Paul Drake has invested more time –Enabled by contributions by Ken Powell and James Holloway Ryan McClarren has a paper on the structure of this type of radiative shock in draft form. –Rob Lowrie (LANL) has collaborated on this. Graduate student Forrest Doss continues to work on the analytic theory of the shocked layer instability Igor Sokolov has contributed considerably Emilio Minguez (U.P. Madrid) has visited for opacity collaborations We are working to engage Dmitri Ryutov (LLNL) and Sasha Velikovich (NRL), who are interested We have a CRASH primer which will evolve

15. Page 15 CRASH will have other applications and users Solar group is already doing rad- MHD evolving from CRASH Our experiment team (students funded variously) needs CRASH Already one other university is eager to use our code (FSU) The labs will be users of our trained people more than codes CRASH simulation of NIF Radiative Hydrodynamic Instability experiment at 7.0 ns: 2D, 600 x 80 Our NIF team may become a key user –Experimental program is making first university use of NIF –Excellent opportunity to apply CRASH and see what breaks

16. Page 16 We intend to accomplish an important result Our unique intended contribution –Be the first academic team to use statistical Assessment of Predictive Capability to guide improvements in simulations and field experiments that lead to predictions of extrapolated field experiments known to have improved accuracy, and to demonstrate this by field measurements. This is a sensible goal because –Our codes are almost entirely first-principles calculations –Our approach will be to add physics not tuning

17. Page 17 Supplemental material follows More details

18. Page 18 People p. 1

19. Page 19 People p. 2

20. Page 20 Conservation of energy forces the shock wave to develop complex structure Shocked xenon layer Compressed 40x Traps thermal photons Preheated region Thermal photons escape upstream Other fun complications: Instabilities Wall shocks

21. Page 21 Our experiments are at the Omega laser Omega 60 beams 30 kJ in 1 ns 0.35 µm wavelength One of our shots at the Omega laser Related experiments LULI & PALS & RAL, LIL (soon?) NIF & LMJ maybe someday

22. Page 22 How to produce radiative shocks Gas filled tubes Laser beams launch Be piston into Xe or Ar gas at > 100 km/s Piston drives shock Diagnostics measure plasma properties Gold grids provide spatial reference Parameters 10 15 W/cm 2 0.35 µm light 1 ns pulse 600 µm tube dia. Targets: Korbie Killebrew, Mike Grosskopf, Trisha Donajkowski, Donna Marion Experiments: Amy Reighard, Tony Visco, Forrest Doss

23. Page 23 The laser first creates structure at the target surface The laser is absorbed at less than 1% of solid density Ablation pressure from momentum balance: Typical pressures of tens of Mbars From Drake, High-Energy-Density Physics, Springer (2006) p ~ 8.6 I 14 2/3 / µm 2/3 Mbars Radiative shocks need thinner targets than the one shown here

24. Page 24 For radiative shocks, target acceleration produces the high required velocities Profiles at 1.3 ns shown Laser produced pressure accelerates Be plasma Expanding Be drives shock into Xe gas Acceleration pushes velocity into radiative shock regime

25. Page 25 Researchers are studying these shocks with a range of diagnostics and simulations Radiographs Emission Xray Thomson scattering Interferometry Data credits: L. Boireau S. Bouquet, F. Doss M. Koenig, C. Michaut, A. Reighard, T. Visco, T. Vinci

26. Page 26 Radiography is our workhorse; we also use other diagnostic methods Radiographs (1 or 2 views) Data by grad students Amy Reighard (Cooper), Tony Visco, Forrest Doss, Channing Huntington Christine Krauland Transverse Streaked Optical Pyrometer (SOP) Transverse VISAR UV Thomson Scattering X-ray Thomson Scattering

27. Page 27 Preliminary analysis of XRTS obtained reasonable temperatures but a better model of Z is needed No drive beams, Null shot Z free =.2 15ns delay Scattered from radiative pre-heated region Fit gives T e = 10 eV & Z free = 12 19ns delay Scattered from dense cooling region Fit gives T e = 55 eV & Z free = 14 Null Shot PrecursorCooling Layer Data and fits by Tony Visco

28. Page 28 Lateral structure within the shocked layer is expected from a Vishniac-like mechanism. See E. Vishinac, ApJ 1983

29. Page 29 U VsVs Perturbed system Unperturbed system Be Z = H Z = 0 Vorticity features Shocked Xe Unshocked Xe Theoretical analysis shows structure internal to shocked layer for the experimental case Wavelength and growth rate of instability in reasonable agreement with observations Stereoscopic experiments will seek further evidence Forrest Doss, et al. in preparation -V s.

30. Page 30 Simulating these shocks is challenging but not impossible Optically thin, large upstream Electron heating by ions Optically thin cooling layer Optically thick downstream This problem has A large range of scales Non-isotropic radiation Complex hydro 20

31. Page 31 The CRASH project has evolved over its first 18 months Spring 2008 Funds arrive Code planning Recruiting Summer 2008 CRASH 1.0 tasks First sensitivity Winter 2009 CRASH 1.0 frozen 3D Yr5 simulation UQ methods exploration Fall 2008 CRASH 1.0 beta Expand UQ team Variability Expt Hire 2 FTE + Spr/Sum 2009 CRASH 2.0 Tasks UQ on UQ First end to end UQ 3rd hire (expts) Fall 2009 expectation CRASH 2.0 beta 3D CRASH sensitivity Define 2D UQ study Calibration experiment Project status at day zero: To do UQ, needed “reasonably good code” and experimental data on variability and for calibration