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Haloes going MAD

Haloes going MAD. Alexander Knebe Universidad Autonoma de Madrid. Haloes going MAD. Eyjafjallajökull brings Europe to a stand-still…. Outline. why? what? how?. Outline. why? what? how?. Why?. Millenium Simulation. Density Field. Why?. Millenium Simulation.

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Haloes going MAD

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  1. Haloes going MAD Alexander Knebe Universidad Autonoma de Madrid

  2. Haloes going MAD Eyjafjallajökull brings Europe to a stand-still…

  3. Outline • why? • what? • how?

  4. Outline • why? • what? • how?

  5. Why? Millenium Simulation Density Field

  6. Why? Millenium Simulation where are the haloes? Density Field

  7. Why? • our beloved CDM model induces hierarchical structure formation! “GHALO” (a multibillion particle CDM halo) Stadel et al. (2009)

  8. Why? • our beloved CDM model induces hierarchical structure formation! “GHALO” (a multibillion particle CDM halo) demanding task of identifying haloes within haloes within haloes within haloes within… Stadel et al. (2009)

  9. Why? • halo finders... ... map simulations (reliably!) onto observables ... need to acknowledge hierarchical structures

  10. Why? • halo finders... ... map simulations (reliably!) onto observables ... need to acknowledge hierarchical structures state-of-the-art cosmological simulations require state-of-the-art halo finder! …that’s Why!

  11. Outline • why? • what? • how?

  12. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) • mock haloes

  13. What? • the data • large-scale structure simulation MareNostrum Universe • LCDM cosmology • high-resolution simulation

  14. What? • the data • large-scale structure simulation MareNostrum Universe • LCDM cosmology FullBox_z0.0_0256 Np=2x 2563 FullBox_z1.0_0256 Np=2x 2563 FullBox_z0.0_0512 Np=2x 5123 FullBox_z0.0_1024 Np=2x 10243 • high-resolution simulation

  15. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) www.clues-project.org • WMAP3 cosmology • high-resolution zoom

  16. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) www.clues-project.org • WMAP3 cosmology LocalGroup_z0.0_2048 LocalGroup_z0.0_4096 LocalGroup_z1.5_4096 LocalGroup_z9.7_4096 [0] gas particles [1] hi-res DM particles [2] low-res DM particles [3] lower-res DM particles [4] star particles [5] lowest-res DM particles • high-resolution simulation

  17. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) ghalo www.clues-project.org • WMAP3 cosmology • GHALO3 Stadel et al. (2009)

  18. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) ghalo www.clues-project.org • WMAP3 cosmology • GHALO3 ghalo-3.00400.std TIPSY format Stadel et al. (2009)

  19. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) • mock haloes

  20. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) • mock haloes ghalo www.clues-project.org MareNostrum Universe

  21. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) • mock haloes enough data to poke a stick at… ghalo www.clues-project.org MareNostrum Universe

  22. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) • mock haloes • what “what”?

  23. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) • mock haloes • what “what”? ?

  24. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) • mock haloes • what “what”? ? ?

  25. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) • mock haloes • what “what”? ? and what about subhaloes? ?

  26. What? • the data • large-scale structure simulation • zoom simulation of individual object(s) • mock haloes • what “what”? ? monday afternoon discussion ?

  27. Outline • why? • what? • how?

  28. How? • halo finder representatives: Miguel Aragon Calvo “Delaunay finder” Daniel Ceverino BDM Stefan Gottloeber FOF Francesca Iannuzi SUBFIND Steffen Knollmann AHF ZarijaLukic “LANL halo finder” Michal Maciejewski HSF Mark Neyrinck VOBOZ Susana Planelles ASOHF Doug Potter SKID Greg Stinson ntrpy-FOF Paul Matthew Sutter pSO Dylan Tweed AdaptaHOP Marcel Zemp 6dFOF

  29. How? • halo finder representatives: Miguel Aragon Calvo “Delaunay finder” Daniel Ceverino BDM Stefan Gottloeber FOF Francesca Iannuzi SUBFIND Steffen Knollmann AHF ZarijaLukic “LANL halo finder” Michal Maciejewski HSF Mark Neyrinck VOBOZ Susana Planelles ASOHF Doug Potter SKID Greg Stinson ntrpy-FOF Paul Matthew Sutter pSO Dylan Tweed AdaptaHOP Marcel Zemp 6dFOF more halo finders than you could wish for…

  30. How? • halo finder representatives: Miguel Aragon Calvo “Delaunay finder” Daniel Ceverino BDM Stefan Gottloeber FOF Francesca Iannuzi SUBFIND Steffen Knollmann AHF ZarijaLukic “LANL halo finder” Michal Maciejewski HSF Mark Neyrinck VOBOZ Susana Planelles ASOHF Doug Potter SKID Greg Stinson ntrpy-FOF Paul Matthew Sutter pSO Dylan Tweed AdaptaHOP Marcel Zemp 6dFOF more halo finders than you could wish for… CODE COMPARISON PROJECT!

  31. How? • code comparison project: • unique definition for mass and size • mock haloes: • recovering mass and size under controlled conditions • cosmological volume: • mass • position statistically! • velocity • zoom simulations: • haloes within haloes within haloes…

  32. How? • code comparison project: • unique definition for mass and size • mock haloes: • recovering mass and size under controlled conditions • cosmological volume: • mass • position statistically! • velocity • zoom simulations: • haloes within haloes within haloes…

  33. How? • code comparison project: • unique definition for mass and size • mock haloes: • recovering mass and size under controlled conditions • cosmological volume: • mass • position statistically! • velocity • zoom simulations: • haloes within haloes within haloes…

  34. How? • code comparison project: • unique definition for mass and size • mock haloes: • recovering mass and size under controlled conditions • cosmological volume: • mass • position statistically! • velocity • zoom simulations: • haloes within haloes within haloes…

  35. How? • code comparison project: • unique definition for mass and size • mock haloes: • recovering mass and size under controlled conditions • cosmological volume: • mass • position statistically! • velocity • zoom simulations: • haloes within haloes within haloes…

  36. How? • code comparison project: • unique definition for mass and size • mock haloes: • recovering mass and size under controlled conditions • cosmological volume: • mass • position statistically! • velocity • zoom simulations: • haloes within haloes within haloes… first impressions…

  37. How? • first impressions -- FullBox mass

  38. How? • first impressions -- FullBox position using the 10000 most massive objects only…

  39. How? • first impressions -- FullBox velocity

  40. How? • first impressions -- FullBox concentration

  41. How? • first impressions -- FullBox spin parameter

  42. How? • first impressions -- FullBox a lot to talk about…

  43. How?

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