the indra suite of simulations and origami evolution of ... · the indra suite of simulations and...
TRANSCRIPT
The Indra Suite of Simulations and
ORIGAMI Evolution of Structures
Bridget Falck (ICG Portsmouth)
with Tamás Budavári (JHU), Shaun Cole (Durham), Daniel Crankshaw (JHU), László Dobos (Eötvös), Adrian
Jenkins (Durham), Gerard Lemson (MPA), Nuala McCullagh (JHU), Mark Neyrinck (JHU), Alex Szalay
(JHU), Jie Wang (NAOC)
and Kazuya Koyama (ICG), Baojiu Li (Durham), Lucas Lombriser (ICG), and Gong-bo Zhao (ICG)
The Indra Simulations
Suite of dark matter N-body simulations
512 different random instances, WMAP7 cosmology
each 1 Gpc/h-sided box
10243 particles per simulation
About 1 PB of data!
Dynamically loaded into a SQL database
Available to the public
Particle data:
All particle positions and velocities for all 64 snapshots of each simulation run
Halo catalogs:
Standard Friends-Of-Friends (and others), linked to particles
Fourier modes:
Density grid for 500 time steps of each run
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Indra-enabled Science
Covariance of the matter power spectrum
Baryon Acoustic Oscillations in real and redshift space
Cluster and void statistics
Large-scale structure morphology/topology
Galaxy formation and evolution with halo catalogs/merger trees
Mock galaxy catalogs, and calibration of faster methods
Logarithmic/Gaussianized density variable correlations
Detailed studies of the velocity fields (vorticity, multi-streams)
…
… and anything to do with computing ensemble averages, estimating uncertainties over large scales…
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Mock Catalogs with Indra
Mock galaxy surveys required to test and calibrate observations
Indra’s large volume and 512 simulations will provide many mocks, and 64 snapshots (with particles) allow merger trees
Spatial indexing in the database
enables very fast on-the-fly light cones
Standard FOF catalog (like Millennium DB), but new halo catalogs can be created from particle positions and velocities
Halo catalogs linked to particle tables
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The ORIGAMI method
• ORIGAMI finds shell-crossing by looking for particles out of order with respect to their original configuration
• Halo particles have undergone shell-crossing along 3 orthogonal axes, filaments along 2, walls 1, and voids 0
In this 1D example,
particles flow toward an
initial overdensity at the
origin, eventually creating
a fold in phase-space
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ORIGAMI Voids
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• Connect only low-
density cores first to
avoid percolation
• Void boundaries are
local density peaks, but
not well defined by
shell-crossing
• Voids occupy ~80% of
the volume of the
universe but only
~20% of the mass
ORIGAMI Current/Future Directions
• ORIGAMI Voids: – Investigate the percolation of single-stream regions
– Include density-based criteria for void catalog
• Application to Modified Gravity simulations – Morphological dependence of screening mechanism
• Both chameleon (f(R)) and Vainshtein (DGP)
– Predictions for future surveys?
• ORIGAMI morphology can easily be added to Indra
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Current Status of Indra
Initial Conditions generated and first 100 runs completed – Will be able to re-simulate a few boxes with higher resolution
(Jenkins, 1306.5968; Jenkins & Booth, 1306.5771)
Database design being optimized – Efficient storage with SQL Arrays, and fast searches with
spatial indexing and partitioning the data on the disk
Developing common queries, analysis functions, on-the-fly visualization and loading, and data-handling tools (1PB is a lot!)
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Summary
The Indra ensemble of Gpc/h simulations will produce ~ 1 PB of N-body data for precision cosmology
Prototype for future data-intensive simulations/suites
ORIGAMI identifies structures by detecting folds in phase-space (Falck, Neyrinck, & Szalay 2012; 1201.2353)
Applications to modified gravity simulations, halo environments, voids, …
Indra will eventually be made available to the public – stay tuned!
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