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Nonlinear matter power spectrum to 1% accuracy between dynamical dark energy models

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Title: Nonlinear matter power spectrum to 1% accuracy between dynamical dark energy models


1
Non-linear matter power spectrum to 1 accuracy
between dynamical dark energy models
  • Matt Francis
  • University of Sydney
  • Geraint Lewis (University of Sydney)
  • Eric Linder (Lawrence Berkeley National
    Laboratory)
  • MNRAS 380(3) 1079-1086

Image Virgo Consortium
2
Aims and motivation
  • How does dark energy affect the clustering of
    dark matter?
  • Forthcoming surveys will measure structure to
    unprecedented precision
  • Present theory cannot rapidly predict the effects
    of dark energy as accurately as they will be
    observed!

3
Matter Power Spectrum
  • Describes the clustering of matter on different
    scales
  • Measurable by weak lensing and galaxy redshift
    surveys

4
Matter Power Spectrum
  • Describes the clustering of matter on different
    scales
  • Measurable by weak lensing and galaxy redshift
    surveys

5
Fluctuations grow under gravitational attraction
Gravity
6
Fluctuations grow under gravitational attraction
Gravity
7
Fluctuations grow under gravitational attraction
  • Growth opposed by the expansion of the Universe

Expansion of the Universe
Gravity
8
Fluctuations grow under gravitational attraction
  • Growth opposed by the expansion of the Universe
  • Since w(a) affects a(t), we get a different
    growth history

Expansion of the Universe
Gravity
9
Dark energy and modified gravity
  • Concordance cosmology means that probes of
    structure and probes of distance imply the same
    physics
  • Assuming standard gravity we can reconstruct w(a)
    from structure data
  • If w(a) from distance (Supernovae) and that from
    structure formation differ this is a clear sign
    of modified gravity

10
Linear Growth Factor
11
Matter Power Spectrum Estimation
  • Most trusted current formula is known as Halofit
    (Smith et al 2003)
  • Semi-analytic, simulation calibrated
  • Valid only for w-1 (Cosmological Constant)

12
Constant w correction
  • McDonald et al (2006) computed corrections to
    Halofit for the power in w models relative to
    w-1
  • Uses a grid of simulations fit to a
    multipolynomial fitting function

13
A Simpler Way?
  • Linder White (2005) found a method to match the
    non-linear growth to within 1 without a complex
    fitting formula
  • Requires the matching of the linear growth today
    and at a high redshift point

14
Distance to the LSS
Models with different w(a), but otherwise
identical cosmology that have the same distance
to the LSS are (nearly) degenerate with CMB
measurements This seems a natural place to look
for matching growth
15
Distance to the LSS
Models with different w(a), but otherwise
identical cosmology that have the same distance
to the LSS are (nearly) degenerate with CMB
measurements This seems a natural place to look
for matching growth
16
Matching Distance with w(a)
  • w(a) w0 (1-a) wa

17
Matching Distance with w(a)
  • w(a) w0 (1-a) wa

18
Linear Growth
19
N-Body Simulations
  • Used GADGET-2 N-Body code
  • Main simulations used 2563 particles in a 256
    Mpc/h periodic box
  • Other box size and particle number combinations
    used to check convergence

20
A Very Good Match
21
Why does distance matching work?
  • By a simple numerical search involving a single
    differential equation we can match non-linear
    power to 1 relative accuracy
  • What physical conditions allow this simple scheme
    to succeed?

22
Crossovers
23
Crossovers
24
Crossovers
25
Crossovers
26
Crossovers
27
Non-Linear Power
28
Are these results real or numerical artifacts?
RMS errors roughly equal to difference between
models But can we reproduce this result with a
different realisation?
29
Sampling Errors
Difference in power for a single model (w-1) in
different realisations of the initial density
field Variations of 10, much more than the 1
variation due to different w(a) models
30
Ratio differences
31
Ratio differences
  • Despite the absolute power varying with
    realisation, the relative power between models
    does not vary

32
Evolution of the Power Spectrum
33
Evolution of the Power Spectrum
34
Evolution of the Power Spectrum
35
Evolution of the Power Spectrum
36
Future Work
  • Variations of other parameters to map w(a) model
    to any constant w
  • Fitting formula for w(a), parameter independent
    (based on energy density?)
  • Interacting models where dark energy and dark
    matter exchange energy
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