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Cosmological N-Body Simulation of Cosmic Structure Formation. 한국계산과학공학회 창립학술대회 2009. 9. 12. 박창범 ( 고등과학원 ) & 김주한 ( 경희대학교 ), J. R. Gott (Princeton, USA), J. Dubinski (CITA, Canada). Simulation of Cosmic Structure Formation 1. Purpose of cosmological simulations 2. Structure - PowerPoint PPT Presentation
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박창범 ( 고등과학원 )
& 김주한 ( 경희대학교 ), J. R. Gott (Princeton, USA), J. Dubinski (CITA, Canada)
한국계산과학공학회 창립학술대회 2009. 9. 12
Cosmological N-Body Simulation of Cosmic Structure Formation
Simulation of Cosmic Structure Formation
1. Purpose of cosmological simulations
2. Structure
3. Requirements
4. Recent achievement
History of the Universe
우주 조망도
관측 가능한 시공간
대폭발 특이면빛 분리면
암흑시대
재이온화시기
현재
high-z시대
Comparison between simulated universes with the real universe
Cosmological model
Initial linear density fluctuation
Non-linear gravitational evolutionGalaxy biasing
Redshift space distortionPast light cone effectsSurvey characteristics
Simulated sample of 'galaxies'
The real universe
Observed sample of galaxies
Statistical test of adopted models
Calibration of systematic effects
Prediction of new phenomena
Simulation of Cosmic Structure Formation
1. Purpose
2. Structure of cosmological simulations
3. Requirements
4. Recent achievements
Execution of Cosmological Simulations
0-1. Simulation code
N-body gravity code: PM, P3M, Tree, PM-Tree codes
Hydro code: 1. particle - SPH
2. mesh (AMR) - ENZO, FLASH
0-2. Dynamic ranges
Mass range: simulation particle, collapsed object, total # of particles
Spatial range: simulation box size, force resolution
Structure of Cosmological Simulations
1. Initial conditions
Cosmological model: power spectrum, high-order correlations
Generation of initial conditions on a simulation mesh
2. Evolution & Intermediate analyses
Snapshot, past-light cone, collapsed object data at predetermined epochs
3. Post analyses
Merger tree construction
Assignment of physical values to collapsed objects
Comparison with observations
Growth of Structures from initial Density Fluctuations
13.7b
11.8b
7.7b tb=0
Simulation of Cosmic Structure Formation
1. Purpose
2. Structure
3. Requirements of cosmological simulations
4. Recent achievements
Dream Reality 1 Realty 2 Reality 3
cosmic structures to simulate
stars ~ horizon stars ~ galaxy* subgalactic objects ~ large-scale structure
galaxy ~ cosmological scale
Spatial scales to resolve
0.1pc~104Mpc
1017~1028 cm
0.1pc~100kpc
1017~1023cm
few kpc ~ few 100Mpc
1022~1027cm
few 10kpc~3000Mpc
1023~1028cm
Spatial dynamic range : initial conditions / force resolution**
1011 106 / 105 105 / 104 105 / 104
Dynamic range in mass (# of simulation particles)
1033 1015 1012 1012
(memory~40TB)
* Galaxy, a city of stars, is the building block of the universe
** Force resolution 10 times higher than the mean particle separation assumed
Requirements for cosmological simulations
Simulation of Cosmic Structure Formation
1. Purpose
2. Structure
3. Requirements
4. Recent achievements
Date particles scales machine
2004. 8 20483 0.05~1024 Mpc
0.275~5632 Mpc
IBM SP3 at KISTI, 128 CPUs, 0.9 TB memory
2008. 8* 41203 0.16~6592 Mpc Sun Blade at KISTI, 1648 CPUs, 2.4TB memory
planned** 100003 0.13~14000 Mpc 40TB memory
Major simulations of the KIAS astrophysical simulation group
: LCDM model, PMTree N-body code, galaxy ~ cosmological scale
* Horizon Run
** Horizon Run-II, a trillion particle simulation
( 김주한 & 박창범 2004)
Simulation of bright galaxies and large-scale structure --> SDSS Main galaxy
survey
T H E H O R I Z O N R U N
Kim, Park, Gott & Dubinski (2009)
http://astro.kias.re.kr/Horizon_Run
Here
Now
Universe seen along the past light cone
Deco
uplin
g
Ep
och
Dark
A
ges
The First
Obje
cts
HI +
+
He
p +
e- + +
He
Reionization Epoch
Structure Formation & Evolution
Acceleration (Dark Energy
Dominated)
Deceleration (Matter
Dominated)
Inflatio
n
SDSS Main
( 김주한 , 박창범 , Gott & Dubinski 2009)
Simulation of very bright galaxies and large-scale structure; the 1st simulation out to the horizon --> SDSS-III Luminous Red Galaxy survey
Evolution of the
number of simulatio
n particles
Horizon Run
Millennium Run
Horizon Run-II
Millennium Run
Horizon Run
Horizon Run-II
Evolution of the spatial
dynamic range
box size
resolution scale
Comparison between simulated universes with the real universe
Cosmological model
Initial linear density fluctuation
Non-linear gravitational evolutionGalaxy biasing
Redshift space distortionPast light cone effectsSurvey characteristics
Simulated sample of 'galaxies'
The real universe
Observed sample of galaxies
Statistical test of adopted models
Calibration of systematic effects
Prediction of new phenomena
KSG-VAGC DR7 sample
A tour of the real universe : SDSS galaxies
Final SDSS DR7 Main Galaxy Sample (2008)
[Choi et al. 2009]
The Sloan Great Wall (Gott et al. 2005)
The CfA Great Wall (Geller and Huchra 1989)
The Cosmic Runner (Park et al. 2005)
SDSS2006
CfA1986
Voids (blue - 7% low), filaments/clusters (red - 7% high) => Sponge !! (Gott et al. 2008)
SDSS2006
A mock survey of massive halos out to z=0.6 simulating the SDSS-III Luminosity Red Galaxy Survey
that will finish in 2014.
[the Horizon Run (Kim et al. 2009)]
Summary
1. The cosmological N-body gravity simulation is limited by memory, and hydrodynamics simulation is limited by both memory and speed.
2. In the near future a trillion particle N-body gravity simulation will be made for the first time.
3. The low-resolution cosmological simulation is now reaching the horizon scale.
4. The high-R cosmological simulations are increasing the box size, and the low-R simulations are increasing the force resolution toward smaller scales.
5. Cosmological simulations are indispensable for understanding the observed universe, guiding new surveys, and predicting new scientific findings.