Haloes going MAD

Haloes going MADAlexander KnebeUniversidad Autonoma de MadridHaloes going MAD

Haloes going MADEyjafjallajkull brings Europe to a stand-stillHaloes going MADOutline why?

what?

how?Haloes going MADOutline why?

what?

how?Haloes going MADWhy?

Millenium SimulationDensity FieldHaloes going MADWhy?

Millenium SimulationDensity Fieldwhere are the haloes?Haloes going MAD our beloved CDM model induces hierarchical structure formation!Why?

GHALO(a multibillion particle CDM halo)Stadel et al. (2009)Haloes going MAD our beloved CDM model induces hierarchical structure formation!Why?

GHALO(a multibillion particle CDM halo) demanding task of identifyinghaloes within haloes within haloes within haloes withinStadel et al. (2009)Haloes going MAD

halo finders...

... map simulations (reliably!) onto observables ... need to acknowledge hierarchical structuresWhy?Haloes going MAD

halo finders...

... map simulations (reliably!) onto observables ... need to acknowledge hierarchical structuresWhy?state-of-the-art cosmological simulationsrequirestate-of-the-art halo finder!thats Why!Haloes going MADOutline why?

what?

how?Haloes going MAD the dataWhat? large-scale structure simulation

zoom simulation of individual object(s)

mock haloesHaloes going MAD the dataWhat? large-scale structure simulation

MareNostrum Universe LCDM cosmology high-resolution simulation

Haloes going MAD the dataWhat? large-scale structure simulation

MareNostrum Universe LCDM cosmology high-resolution simulation

FullBox_z0.0_0256Np=2x 2563FullBox_z1.0_0256Np=2x 2563

FullBox_z0.0_0512Np=2x 5123

FullBox_z0.0_1024Np=2x 10243

Haloes going MAD

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

Haloes going MAD

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

LocalGroup_z0.0_2048

LocalGroup_z0.0_4096LocalGroup_z1.5_4096LocalGroup_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

Haloes going MAD the dataWhat? large-scale structure simulation zoom simulation of individual object(s)www.clues-project.org WMAP3 cosmology GHALO3Stadel et al. (2009)

ghaloHaloes going MAD the dataWhat? large-scale structure simulation zoom simulation of individual object(s)www.clues-project.org WMAP3 cosmology GHALO3Stadel et al. (2009)

ghalo-3.00400.std TIPSY format

ghaloHaloes going MAD the dataWhat? large-scale structure simulation zoom simulation of individual object(s) mock haloes

Haloes going MAD the dataWhat? large-scale structure simulation zoom simulation of individual object(s) mock haloes

ghalo

www.clues-project.org

MareNostrum UniverseHaloes going MAD the dataWhat? large-scale structure simulation zoom simulation of individual object(s) mock haloes

ghalo

www.clues-project.org

MareNostrum Universeenough data to poke a stick atHaloes going MAD the dataWhat? large-scale structure simulation zoom simulation of individual object(s) mock haloes

what what?Haloes going MAD the dataWhat? large-scale structure simulation zoom simulation of individual object(s) mock haloes

what what?

?Haloes going MAD the dataWhat? large-scale structure simulation zoom simulation of individual object(s) mock haloes

what what?

?

?Haloes going MAD the dataWhat? large-scale structure simulation zoom simulation of individual object(s) mock haloes

what what?

?

?and what about subhaloes?Haloes going MAD the dataWhat? large-scale structure simulation zoom simulation of individual object(s) mock haloes

what what?

?

?monday afternoon discussionHaloes going MADOutline why?

what?

how?Haloes going MAD halo finder representatives:How?Miguel Aragon CalvoDelaunay finderDaniel CeverinoBDMStefan GottloeberFOFFrancesca IannuziSUBFINDSteffen KnollmannAHFZarija LukicLANL halo finderMichal MaciejewskiHSFMark NeyrinckVOBOZSusana PlanellesASOHFDoug PotterSKIDGreg Stinsonntrpy-FOFPaul Matthew SutterpSODylan TweedAdaptaHOPMarcel Zemp6dFOFHaloes going MAD halo finder representatives:How?Miguel Aragon CalvoDelaunay finderDaniel CeverinoBDMStefan GottloeberFOFFrancesca IannuziSUBFINDSteffen KnollmannAHFZarija LukicLANL halo finderMichal MaciejewskiHSFMark NeyrinckVOBOZSusana PlanellesASOHFDoug PotterSKIDGreg Stinsonntrpy-FOFPaul Matthew SutterpSODylan TweedAdaptaHOPMarcel Zemp6dFOFmore halo finders than you could wish forHaloes going MAD halo finder representatives:How?Miguel Aragon CalvoDelaunay finderDaniel CeverinoBDMStefan GottloeberFOFFrancesca IannuziSUBFINDSteffen KnollmannAHFZarija LukicLANL halo finderMichal MaciejewskiHSFMark NeyrinckVOBOZSusana PlanellesASOHFDoug PotterSKIDGreg Stinsonntrpy-FOFPaul Matthew SutterpSODylan TweedAdaptaHOPMarcel Zemp6dFOFmore halo finders than you could wish forCODE COMPARISON PROJECT!Haloes going MAD code comparison project:How? unique definition for mass and size

mock haloes: recovering mass and size under controlled conditions

cosmological volume: mass positionstatistically! velocity

zoom simulations: haloes within haloes within haloesHaloes going MAD code comparison project:How? unique definition for mass and size

mock haloes: recovering mass and size under controlled conditions

cosmological volume: mass positionstatistically! velocity

zoom simulations: haloes within haloes within haloesHaloes going MAD code comparison project:How? unique definition for mass and size

mock haloes: recovering mass and size under controlled conditions

cosmological volume: mass positionstatistically! velocity

zoom simulations: haloes within haloes within haloesHaloes going MAD code comparison project:How? unique definition for mass and size

mock haloes: recovering mass and size under controlled conditions

cosmological volume: mass positionstatistically! velocity

zoom simulations: haloes within haloes within haloesHaloes going MAD code comparison project:How? unique definition for mass and size

mock haloes: recovering mass and size under controlled conditions

cosmological volume: mass positionstatistically! velocity

zoom simulations: haloes within haloes within haloesHaloes going MAD code comparison project:How? unique definition for mass and size

mock haloes: recovering mass and size under controlled conditions

cosmological volume: mass positionstatistically! velocity

zoom simulations: haloes within haloes within haloesfirst impressionsHaloes going MAD first impressions -- FullBoxHow?massHaloes going MADHow?position first impressions -- FullBoxusing the 10000 most massive objects onlyHaloes going MADHow?velocity first impressions -- FullBoxHaloes going MADHow?concentration first impressions -- FullBoxHaloes going MADHow?spin parameter first impressions -- FullBoxHaloes going MADHow? first impressions -- FullBoxa lot to talk aboutHaloes going MADHow?Haloes going MAD

Home Venue Rationale Program The Data Registration Practical Info

Program

Monday(codes)

09:30-10:00 welcome

10:00-11:30:

AHF (Knollmann)

ASOHF (Planelles)

pSO (Sutter)

BDM (Ceverino)

11:30-12:00 coffee

12:00-13:30:

LANL finder (Lukic)

AdaptaHOP (Tweed)

SKID (Potter)

14:00-16:00 lunch

briefing:- how were the mockhaloes generated? (Muldrew)

discussion:- how to define a halo? (chaired by Pearce)

Confirmed Halo Finder RepresentativesMiguel Aragon Calvo:Daniel Ceverino:Stefan Gottlber:Francesca Iannuzzi:Steffen Knollmann:Zarija Lukic:Michal Maciejewski:Mark Neyrinck:Susana Planelles:Doug Potter:Greg Stinson:Paul Matthew Sutter:Dylan Tweed:Marcel Zemp:

fracHOPBDMFOFSUBFINDAHFLANL halo finderHSFVOBOZASOHFSKIDntropy-FOFpSOAdaptaHOP6dFOF

Tuesday

(codes)

Wednesday

(discussions)

Thursday

(tools)Friday

(discussions)

(Mon, 24/05/2010 - Fri, 28/05/2010)

10:00-11:30

FOF (Gottloeber)

SUBFIND (Iannuzzi)

ntropy-FOF (Stinson)

HSF (Maciejewski)

11:30-12:00 coffee

12:00-13:30

6dFOF (Zemp)

VOBOZ (Neyrinck)

new (Aragon-Calvo)

14:00-16:00 lunch

10:00-11:30

- discussion of

results so far...

(chaired by Knollmann)

11:30-12:00 coffee

12:00-13:30

- addressing outstanding

questions and problems

(chaired by ? )

14:00-16:00 lunch

10:00-11:30

- merger trees

(with contributions from

Behroozi, Sinha, Coles, ...)

11:30-12:00 coffee

12:00-13:30

- how to deal with baryons?

- visualisation tools

14:00-16:00 lunch

10:00-11:30

- summary of data

analysis

- how to write a paper

out of it?

11:30-12:00 coffee

12:00

trip back to Madrid

data analysis,

comparison of results&

training sessions

data analysis,

comparison of results&

training sessions

discussion:

- what to compare? (chaired by Knebe)

Haloes going MAD