1 Work Plan/Summary I By 25 th May 2007… Class clean-up – biasing and scoring… What to remove? (for v9.0) –Biasing VScorer and associated classes (in transportation.

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Presentation transcript:

1 Work Plan/Summary I By 25 th May 2007… Class clean-up – biasing and scoring… What to remove? (for v9.0) –Biasing VScorer and associated classes (in transportation and geometry/biasing) - AH –Dedicated Importance biasing Parallel Navigation (in transportation) - AH –Independent treatment of parallel and mass worlds (in transportation and geometry/biasing) - AH –Examples/extended/B03 – AH –MARS – MA, TK What to add? –Migrate B01 and B02 (for v9.0) - AH –De-pythonize and migrate (for v9.0) Tiara - AH –Scoring 1-D, 2-D contour: accumulated hits in a scorer displayed at the end of the run – TA, MA, JT

2 Work Plan II Directory structures and dependencies –Create processes/biasing (MV and MA) Move Importance/weight window biasing here from scoring (AH) Biasing process wrapper for physics or generic should sit here (AH, JT, MA) Generic biasing process –access to list of physics (processes EM, hadronic interaction or model (e.g. neutron_hp)) and geometry of significance (G4GeometryCell) Wrap the function to get combined GPIL (all physics processes) Relevant to Importance Biasing and Physics Biasing (cross- section towards a point, interaction length biasing) –Work through an example to test feasibility (All)

3 Workplan III - general Review and update Importance Biasing documentation – ALL Create biasing documentation/“physics book” for all other biasing techniques - ALL Produce examples to validate/verify biasing – CPU performance, statistically consistent, test against experimental data - ALL

4 Work Plan IIIa – Geometrical Biasing Point tally/detector (SLAC expressed interest, PA, MA, TK) –Can only work for tabulated cross-section  neutron_tk (for now) (TK) DXTRAN (for the future, SLAC expressed an interest/realizes it is useful, MA) Image projection/pin-hole (for the future, SLAC expressed an interest/realizes it is useful, MA) Related would be cross-section towards a point or region – see physics biasing (JT) Produce a validation example – TIARA data? (AH)

5 Work Plan IIIb – Physics biasing General framework (slide 2) for accessing and modifying the required information, then associated algorithms produced for: –Bremsstrahlung Splitting - JT –Implicit capture - JT –Leading particle biasing - JT –Interaction forcing - JT –Path length biasing - JT –Cross-section biasing - JT SLAC expressed an interest/realizes the usefulness (MA)

6 Work Plan IIIc - Scoring Increase the modifiers (10 per day) – TA (SLAC expressed an interest/realizes the importance of this advertisement – see Slide 8 (6) of JA’s talk on Monday, MA) New scorers for residual nuclei with physics table – TA, MA, TK, HK 1-D, 2-D contour – TA, MA, JT, JAl New implementation of G4THitsMap –Currently each hit map has a map between copy number and physics quantity – unnecessary duplication – memory waste – TA, MA Reaction rate by process counter – TA “This implementation will (not) be faster than a train” – MKosssov, SLAC and CERN expressed an interest/realizes the importance of this, MA, JAp

7 TalliesMCNPXGEANT4FLUKAMARSPHITS Standard Flux Volume Surface Point/ring Current Charge Kinetic energy Particle density Reaction rates Energy dep. Rapidity DPA Momentum Pulse-height Termination Modifiers Yes No Some No Yes Partial 10 Yes Limited No Limited Yes No Yes ?? Yes User input ?? 3 Yes No Yes No Star (inelastic) Yes ?? 2 Yes Yes (neutrons) Yes No Yes Yes. ?? Yes No ?? 2 Yes No Yes No Yes No ?? No Yes 2 Special Mesh Coincidence Residuals Event logs rec, cyl, sph Yes rec, cyl No Yes rec, cyl Yes rec, cyl, sph Yes rec,cyl Yes Convergence Tests10Error Review of Monte Carlo All-Particle Transport Codes and.. G. W. McKinney (Los Alamos National Laboratory) et al, FNDA 2006, Cape Town, South Africa, April 3-6, 2006

8 TalliesMCNPXGEANT4FLUKAMARSPHITS ViewerBuilt-in: 1-D, 2-D Contour External: IDL Tecplot GNUplot PAW Built-in: No External: JAS PI Open Scientist Built-in: No External: PAW ROOT Built-in: Custom External: PAW Built-in: Angel External: Angel Variance Reduction Population control Region biasing Weight cutoff Weight window mesh Energy biasing Yes No Yes No Yes Modified sampling Source biasing Implicit capture Exp. transform Production biasing Yes RDM Yes No Yes No Yes No Yes DXTRANYesNo Viewer2-D contourNo