Clustering%20of%20Luminous%20Red%20Galaxies%20and%20Applications%20to%20Cosmology - PowerPoint PPT Presentation

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Clustering%20of%20Luminous%20Red%20Galaxies%20and%20Applications%20to%20Cosmology

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The 2dF-SDSS LRG And QSO (2SLAQ) Survey. Clustering techniques ... `Bump' in the 2 Point Correlation Function at ~100 h-1 Mpc. Due to ``baryon acoustic oscillations' ... – PowerPoint PPT presentation

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Title: Clustering%20of%20Luminous%20Red%20Galaxies%20and%20Applications%20to%20Cosmology


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Clustering of Luminous Red Galaxies and
Applications to Cosmology
  • NicRoss (Penn State)
  • Research Progress Meeting
  • LBNL
  • 8th November 2007

Ross et al., 2007, MNRAS, 381, 573 Ross et al.,
2007, MNRAS submitted, astro-ph/0704.3739 Cannon
et al., 2006, MNRAS, 372, 425
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Outline of talk
  • Motivation
  • The 2dF-SDSS LRG And QSO (2SLAQ) Survey
  • Clustering techniques
  • 2SLAQ LRG Clustering results and z-space
    distortions
  • The AAOmega LRG Pilot Survey
  • Future BAO Surveys, The B.O.S.S.

5
Outline of talk
  • Motivation
  • The 2dF-SDSS LRG And QSO (2SLAQ) Survey
  • Clustering techniques
  • 2SLAQ LRG Clustering results and z-space
    distortions
  • The AAOmega LRG Pilot Survey
  • Future BAO Surveys, The B.O.S.S.

6
What is the Universe made of?
4
Baryonic matter
Dark Energy
26
Dark matter
70
Evidence from SNeIa, CMB, LSS, (Clusters)
7
Motivation
  • Luminous Red Galaxies (LRGs) provide a very good
    observational sample to test models of galaxy
    formation and evolution.
  • Excellent tracers of Large Scale Structure (LSS).

8
Motivation, observations vs. models
  • Semi-Analytic Model predictions - lines, LRG
    Observations - stars z0.24 (L), z0.50 (R)
  • Almedia et al. 2007 (astro-ph/0710.3557)

9
Motivation
  • Luminous Red Galaxies (LRGs) provide a very good
    observational sample to test models of galaxy
    formation and evolution.
  • Excellent tracers of Large Scale Structure (LSS).
  • 2 Point Correlation Function (2PCF) simple but
    powerful statistic.

10
Motivation
  • Bump in the 2 Point Correlation Function at
    100 h-1 Mpc
  • Due to baryon acoustic oscillations
  • Can be used as a Standard Ruler, determine
    geometry of the Universe
  • Eisenstein et al. 2005 (ApJ, 633, 560)

11
Motivation
  • Luminous Red Galaxies (LRGs) provide a very good
    observational sample to test models of galaxy
    formation and evolution.
  • Excellent tracers of Large Scale Structure.
  • 2 Point CF simple but powerful statistic.
  • Redshift-space distortions can provide
    cosmological parameter constraints via
    Alcock-Paczyncski and clustering evolution
    (explained in due course)
  • 2SLAQ extending SDSS LRGs to 0.4ltzlt0.8.
  • Extended redshift arm led to photo-z calibration
  • Proof of concept for future LRG studies e.g. BOSS

12
Outline of talk
  • Motivation
  • The 2dF-SDSS LRG And QSO (2SLAQ) Survey
  • Clustering techniques
  • 2SLAQ LRG Clustering results and z-space
    distortions
  • The AAOmega LRG Pilot Survey
  • Future BAO Surveys, The B.O.S.S.

13
  • SDSS DR6 8417 deg2, 1,271,680 spectra, 790,860
    gal

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LRG Photometric Selection, gri-bands
  • Method Use SDSS photometry, gri-bands, to select
    intrinsically luminous (L gt 3L) red galaxies
    from z?0.0 to 0.8.
  • Bruzual and Charlot (2003) evolutionary model
    tracks superimposed on the SDSS data.
  • Star/galaxy separation from SDSS images. Some red
    M-type stars remain.

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20
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SDSS LRG vs. 2SLAQ LRG N(z)
  • SDSS LRG sky density is 12 deg-2
  • 2SLAQ LRG sky density is 53 deg-2
  • Same populations, different redshifts
  • 2SLAQ LRG Survey
  • 13,121 LRGs
  • 17.5 lt i lt 19.8
  • 80 fields giving total area 180 degs2
  • 92 spectroscopic completeness

18
2dFGRS
SDSS LRG
2SLAQ
(P. Weilbacher)
19
Outline of talk
  • Motivation
  • The 2dF-SDSS LRG And QSO (2SLAQ) Survey
  • Clustering techniques
  • 2SLAQ LRG Clustering results and z-space
    distortions
  • The AAOmega LRG Pilot Survey
  • Future BAO Surveys, The B.O.S.S.

20
The 2 Point Correlation Function
  • represents the excess probability of
    finding a PAIR of galaxies compared with a random
    distribution
  • Power Law behaviour
  • Measure the redshift-space CF which
    include peculiar velocities due to cluster infall
    and random motions leading to redshift-space
    distortions.
  • Can measure ? in two dimensions,
    with ?, perpendicular and ?, parallel, to
    line-of-sight where, and
    effects of z-space distortions seen

?, slope r0, correlation length
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The 2 Point Correlation Function
a0 kms-1 ?0
a0 kms-1 ? 0.4
? (along the l.o.s.)
a500 kms-1 ?0
a500 kms-1 ? 0.4
? (perpendicular to the l.o.s.)
  • Hawkins et al. (2003, MNRAS, 346, 78)

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The 2 Point Correlation Function
  • Redshift-space, ?(s), and Real-space, ?(r), CFs
    related by ? (Kaiser 1987)
  • Also, ? and ?M related (Peebles 1980 Lahav1991
    Peacock 2001 Hawkins 2003 Zehavi 2002)
  • where b is the linear bias parameter, which
    is the ratio of galaxy to (underlying) mass
    fluctuations ?g b2 ?m
  • This linear bias, b, important because it reduces
    the fractional error due to shot noise, i.e. b ?,
    no. of objects needed ? (e.g. BlakeGlazebrook,
    2003 Tegmark 2006)

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Outline of talk
  • Motivation
  • The 2dF-SDSS LRG And QSO (2SLAQ) Survey
  • Clustering techniques
  • 2SLAQ LRG Clustering results and z-space
    distortions
  • The AAOmega LRG Pilot Survey
  • Future BAO Surveys, The B.O.S.S.

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2SLAQ LRG Redshift-space 2PCF
  • 2SLAQ LRGs at redshift z 0.55, r07.45 /-
    0.35 h-1 Mpc
  • SDSS LRGs (Zehavi et al. 2005) at z0.28,
    r09.80/-0.20 h-1 Mpc
  • 2dFGRS Luminous Early-Type (Hawkins et al. 2003
    Norberg et al. 2002), at redshift z0.1, r06 h-1
    Mpc

25
2SLAQ 2-D Correlation Function, ?(?,?)
? (along the l.o.s.)
? (perpendicular to the l.o.s.)
26
Alcock-Paczynski Test
  • Ratio of observed radial size to
  • angular size, varies with cosmology
  • Have an intrinsically isotropic structure (e.g.
    the clustering of galaxies) and observe the
    radial/angular ratio (AP, 1979 Ballinger,
    Peacock, Heavens 96 Popowski98 Hoyle02 da
    Angela05 KimCroft07)
  • Pros Geometric test to determine ? no messy
    galaxy evolution v. complimentary to BAOs.
  • Cons Peculiar velocities also affect isotropic
    structure.

27
Cosmological Constraints
1.0
  • Compare data to range of test cosmologies
  • Degeneracy along ?M-?, recall
  • Additional info e.g. ?(z0), 2dFGRS (Hawkins
    2003)
  • ? 0.45
  • ?M 0.25

?M(0)
0
0
1.0
0.10
?(z)
- 0.15
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Outline of talk
  • Motivation
  • The 2dF-SDSS LRG And QSO (2SLAQ) Survey
  • Clustering techniques
  • 2SLAQ LRG Clustering results and z-space
    distortions
  • The AAOmega LRG Pilot Survey
  • Future BAO Surveys, The B.O.S.S.

29
Baryon Acoustic Oscillations
  • In the tightly coupled baryon-photon fluid prior
    to Recombination, acoustic waves create a
    characteristic scale the sound horizon, RS.
  • At Recombination, vs ? 0, wave stalls and the
    imprint of RS, (BAO), is frozen (but still
    evolves gravitationally) in the matter, and
    later, galaxy correlation functions.
  • Rs(z1089) can be determined accurately with CMB
    (148 Mpc), so BAO become a very promising
    standard ruler, DA(z) and H(z).
  • Wayne Hu, http//background.uchicago.edu/whu/
  • Martin White, http//cdm.berkeley.edu/doku.php?id
    baopages

30
Future LSS BAO LRG Projects
  • What you need (minimum)
  • Large volume of Universe (gt1 Gpc3)
  • Large number of objects (105 - 106)
  • Our Idea
  • 300,000 LRG redshift surveyover
  • 3,500 sq. degs. (95 deg-2)
  • with redshift 0.5 lt z lt 1.0
  • Requirements
  • Imaging from SDSS and VST-ATLAS
  • LRGs down to i lt 20.5 in 1 hour
  • 4m-class telescope, reasonable site
  • Multi-object spectrograph
  • (Australian)

31
AAOmega
  • AAOmega, 392 fibre MOS, on 4m AAT
  • Blue and Red arms
  • 5600-8800Å ? 4000 Å _at_ z 0.4 - 1.2 (0.9).
  • Large 200 night proposal
  • Use LRGs to measure BAO at ltzgt0.7
  • Pilot Program 03 Mar 2006 07 Mar 2006

32
LRG riz-selection
  • Again, use SDSS imaging
  • Select in riz-bands, down to ilt20.5 (cf.
    2SLAQ ilt19.8)
  • High stellar contamination, can do better
  • Panels show selection areas and model tracks

33
AAOmega LRG Pilot Run
  • Mean redshift, ltzgt0.68
  • Exposure times to get absorption line redshifts
    varied from 1 to 3 hours, (typically 1.67hrs)

34
AAOmega LRG Correlation function
  • wp(?) projection of 3-D ?(s)
  • AAOmega LRG
  • r0 9.03/-0.93
  • AAOmega LRGs sample now comparable to SDSS LRGs
    for LSS studies
  • However

35
Outline of talk
  • Motivation
  • The 2dF-SDSS LRG And QSO (2SLAQ) Survey
  • Clustering techniques
  • 2SLAQ LRG Clustering results and z-space
    distortions
  • The AAOmega LRG Pilot Survey
  • Future BAO Surveys, The B.O.S.S.

36
Baryon Oscillation Spectroscopic Survey
  • PI David Schlegel, part of SDSS-III
  • Use existing 2.5m telescope, upgrade optics and
    spectrographs
  • 1.5x106 LRGs, 0.2ltzlt0.8 over 10,000 deg2
  • 160,000 Ly? Forests from QSO sightlines,
    2.3ltzlt2.8, 8,000 deg2
  • dA to 1, 1.1 and 1.5 at z0.35, 0.6, 2.5
  • Due to start imaging in latter half 2008,
    spectroscopy 2009

37
Conclusions
  • 2SLAQ LRG Survey complete, gt13,000 LRG
    spectroscopic redshifts, 0.4 lt z lt 0.8.
  • 2SLAQ LRGs have r07.45/-0.35 h-1 Mpc.
  • Using dynamical (peculiar velocity) and geometric
    (Alcock-Paczynski) information find
    ?M0.250.10-0.15 and ?(z0.55)
    0.450.05-0.03
  • Alcock-Paczynski test, v. complimentary to BAOs
  • SDSS riz-band selection pushes ltzLRGgt0.7
  • Future Projects, e.g. BOSS (LRG Ly?) Survey

38
Credits
  • Tom Shanks, Jose da Angela, Phil Outram, Alastair
    Edge, David Wake (Durham)
  • Bob Nichol (Portsmouth)
  • Russell Cannon, Scott Croom, Rob Sharp (AAO)
  • Michael Drinkwater, Isaac Roseboom, Kevin
    Pimbblet (UQ)
  • Daniel Eisenstein (Arizona)
  • John Peacock (Edinburgh)
  • And Nikhil P. and Martin W. for inviting me.

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