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Constraints on cosmological parameters from the 6dF Galaxy Survey

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The 6dF Galaxy Survey ... A NIR-selected redshift survey of the local universe. ... Optimal' survey minimizes the error in Av in given time ... – PowerPoint PPT presentation

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Title: Constraints on cosmological parameters from the 6dF Galaxy Survey


1
Constraints on cosmological parameters from the
6dF Galaxy Survey
  • Matthew Colless
  • 6dFGS Workshop
  • 11 July 2003

2
What can the 6dFGS tell us?
  • Strong constraints on cosmological parameters
    result from combining the wide range of existing
    datasets 2dFGRS/SDSS, WMAP, distant SNe, Lyman ?
    forest, weak lensing
  • Given this plethora of data, what can the 6dFGS
    add?
  • Specifically, what advantage does the combination
    of redshift and peculiar velocity information
    give?
  • The answers presented here are based on
  • Prospects for galaxy-mass relations from the
    6dF Galaxy Redshift Peculiar Velocity survey
    Dan Burkey Andy Taylor

3
z-surveys and v-surveys
  • Galaxy redshift surveys simple, quick and easy
    (ha!) so can be very large, but
  • unknown bias linking galaxies to the matter
    distribution
  • z-space distortion mixes Hubble expansion and
    peculiar velocities (both positive and negative
    consequences).
  • Peculiar velocity surveys are the best way to map
    the matter distribution, but
  • measuring vs is difficult and time-consuming
  • only works nearby, so surveys must cover large
    areas
  • hence v-surveys are generally small (1000
    objects), or eclectic compilations of different
    samples and methods.

4
The 6dF Galaxy Survey
  • The 6dFGS is designed to be the first of a new
    generation of combined zv-surveys, combining
  • A NIR-selected redshift survey of the local
    universe.
  • A peculiar velocity survey using Dn-?
    distances.
  • Survey strategy
  • survey whole southern sky with bgt10
  • primary z-survey sample 2MASS galaxies to
    Ktotlt12.75
  • (secondary samples Hlt13, Jlt13.75, rlt15.7, blt17)
  • (additional samples sources from radio, X-ray,
    IRAS)
  • v-survey sample 15,000 brightest early-type
    galaxies

5
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7
The Fisher information matrix
  • The information in a survey of a random field
    ?(r) parameterised by ? if the field is
    Gaussian, then
  • where the power spectrum P is defined by
  • and the effective volume of the survey is
  • The covariance of the discretely sampled field is
  • For P(k) the uncertainty is

(Fisher matrix)
8
Properties of the Fisher matrix
  • The Fisher matrix, F,
  • has the conditional error for a parameter on its
    diagonal
  • gives the marginalized error for the ith
    parameter as
  • gives the correlation between measured parameters
    as
  • the variance in maximum likelihood (minimum
    variance) parameter estimates is the marginalized
    error from F.
  • for multiple fields, the covariance matrices of
    each can be combined to give a joint Fisher
    matrix.

9
Application to surveys
  • Burkey Taylor use the Fisher matrix methods to
    estimate the uncertainties in estimating
    cosmological parameters from z- and v-surveys and
    zv-surveys.
  • The fields are the z-space density perturbations
    and the radial gradient of the radial peculiar
    velocities.
  • The auto- and cross-power spectra of these fields
    are specified by the matter power spectrum
    Pmm(k), the bias parameter b?Pgg/PmmbL2??2/Pmm,
    the linear redshift-space distortion parameter
    ???0.6/b, the Hubble constant H0.

10
Parameters of model
  • The cosmological parameters used to specify the
    cosmological model are
  • the amplitude of the galaxy power spectrum, Ag
    b Am
  • the power spectrum shape parameter, ? ?mh
  • the redshift-space distortion parameter, ? ?
    ?0.6/b
  • the mass density in baryons, ?b (or ?b ?bh2)
  • the correlation between luminous and dark matter,
    rg
  • Parameters not considered are
  • the index of the primordial mass spectrum, n (
    -1)
  • the small-scale pairwise velocity dispersion, ?v

11
Parameters of survey
  • The parameters of the survey itself enter through
    the noise terms
  • the level of shot noise is determined by the
    number density of galaxies, ng(r), in the z- and
    v-surveys
  • the fractional error in the Dn-s relation
    determines the precision of the peculiar
    velocities.
  • For the z-survey the operational parameters are
    sky coverage, fsky sampling fraction, a median
    depth rm
  • For the v-survey the operational parameters are
    the equivalent set plus s0

12
Optimal z-survey design
  • BT first employ this machinery to determine the
    depth of a redshift survey that minimizes the
    error in Ag in fixed time.
  • Other things being equal, want largest possible
    fsky
  • If Klim? 5 log rm - 0.255 optimum hemisphere
    survey has Klim11.8, a0.7, rm 255 Mpc/h
  • Compare with 6dFGS, which has Klim12.75, alt0.9,
    rm150 Mpc/h

13
Recovered power spectrum
Effective volume
Linear PS for optimal survey, ?lnk0.5 bands
shot noise/mode
14
Parameter degeneracies
  • Degeneracies can be seen by comparing derivatives
    of the PS w.r.t. the various parameters.
  • Similar curves mean almost degenerate parameters.
  • Ag, ?, and rg are all constant and so
    degenerate.
  • ? and ?b are also similar (both relate to damping
    of the PS) the effective shape is ?eff
    ?exp(-2?bh)

15
Density field parameters - 1
  • Models with Ag, ?, ?
  • At kmax0.2 h/Mpc (limit set by non-linear
    clustering) the uncertainties are 2-3 on all
    three parameters.
  • Correlations are
  • very strong between ? and ? (a change in
    amplitude can be mimicked by a change in scale)
  • moderate between Ag and ?, with Ag?Am?m0.6.

Fractional marginalized uncertainties
Correlations
Maximum wavenumber (k/h Mpc-1)
16
Density field parameters - 2
  • Models with Ag, ?, ?, rg
  • Ag, ? are unaffected (errors of 2-3), but
    uncertainties on ?, rg are much larger (35)
  • This is due to the strong correlation between ?
    and rg, which results because both parameters
    affect the normalization of the galaxy PS

Fractional marginalized uncertainties
Correlations
17
Peculiar velocity power spectrum
  • Expected 6dFGS 3D velocity PS, ?lnk0.5 bands
    (effective volume)
  • Larger errors reflect smaller size of survey and
    1D peculiar velocities
  • Effective volume for each mode is also shown

18
Optimal v-survey design
  • Optimal survey minimizes the error in Av in
    given time
  • For various fixed fsky, the figure shows the
    error in Av in terms of the single free
    parameter, the degenerate variable ?0/?1/2.

fsky 0.25 0.50 0.75 1.00
20 distances from Dn-?
  • Distance errors dominate, and need to be
    minimized.
  • Sampling should be as complete as possible.
  • Large sky fractions help, but dont gain
    linearly.
  • The 6dFGS v-survey should give Av to about 25.

19
Velocity field parameters
  • Models with Av, ?.
  • At kmax0.2 h/Mpc (limit set by non-linear
    clustering) the uncertainties are 25 on both
    parameters.
  • Av and ? are strongly anti-correlated
    (change in normalization can be mimicked by a
    shift in scale).

Fractional marginalized uncertainties
Correlation
20
Joint zv-survey constraints - 1
  • Combine z- and v-survey data and estimate joint
    constraints from overall Fisher matrix.
  • For models with Ag, ?, ? the errors are still
    2-3 in all three.
  • This is very similar to z-survey, as v-survey
    does not break the main Ag-? degeneracy.

z-only zv
1? contours on pairs of parameters
21
Joint zv-survey constraints - 2
  • For models with Ag, ?, ?, rg the errors are still
    2-3 in the first three, but lt2 in rg.
  • Ag, ? are unchanged by v-survey and ? has
    degraded slightly (due to residual correlation
    with rg).
  • The v-survey greatly improves the joint
    constraint on ? and rg, which are now only
    relatively weakly correlated.

z-only zv
1? contours on pairs of parameters
22
Scale constraints on rg and b
  • Do the bias or the galaxy/mass correlation vary
    with scale?
  • Figure shows errors on band estimates of rg and b
    (each assuming the other is fixed).

Errors in bands (bands shown by dots)
  • If b is fixed, variations in rg can be measured
    at 5-10 level.
  • If rg is fixed, variations in b can be measured
    at the few level over a wide range of scales.

23
Conclusions
  • In terms of constraining cosmological parameters,
    the major advantage of the 6dFGS is combining the
    redshift and peculiar velocity surveys to
  • Break the degeneracy between the redshift-space
    distortion parameter ??0.6/b and the galaxy-mass
    correlation parameter rg.
  • Measure the four parameters Ag, ?, ? and rg with
    precisions of between 1 and 3.
  • Measure the variation of rg and b with scale to
    within a few over a wide range of scales.
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