analyzing bao in galaxy surveys · •bao in ps and cf – power spectrum theoretically simple,...

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Analyzing BAO in Galaxy Surveys Taka Matsubara (Nagoya Univ.) “Probing the Dark Universe with Subaru and Gemini” (Waikoloa, Hawaii) 11/6/2005

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Page 1: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Analyzing BAO in Galaxy Surveys

Taka Matsubara (Nagoya Univ.)

“Probing the Dark Universe with Subaru and Gemini”

(Waikoloa, Hawaii) 11/6/2005

Page 2: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Historical Remark (1)

• Alcock & Paczynski (1979)

– AP test: assume spherical objects, use only ratio:

   comoving space  redshift space (z-space)

observer

)(zH∝

)(zDz A∝

Q0

Q3QM

2M

3

0 13exp)1()1()1()1(

)( Ω˜ˆ

ÁÁËÊ

+++Ω−Ω−++Ω+= ∫

z

z

dzwzzz

H

zH

˜ˆ

ÁÁËÊ

′′

Ω−Ω−Ω−Ω−

= ∫z

A zH

zdH

HzD

0QM0

QM0 )(1sinh

1

1)(

)(:)( zDzzH A

Page 3: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Histrical Remark (2)• Ryden (1995)

– Voids as spherical objects in AP test: need too many voids

• TM & Suto (1996), Ballinger et al. (1996)– z-space distortions of correlation function (or power spectrum)

can be useful in determining lambda

– Velocity distortion + cosmological distortion

– Extension of the Kaiser’s formula (1987) in low-z universe tothe formula in high-z universe

TM & Suto (1996)

Page 4: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Spatial Correlation Function

• Totsuji & Kihara (1969)– Spatial correlation function of galaxies

Clustering pattern of galaxies, as a function of scales

dV1

r

dV2

( )[ ]rdVdVndP ξ+= 1212

Probability of havinggalaxies in both cells

Spatial correlationfunction

Page 5: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Power spectrum and Correlation function

• Power spectrum and Correlation function– Fourier transforms to each other

• Power spectrum– Direct prediction from theory– Need homogeneous, contiguous survey volume– Theory-friendly statistic

• Correlation function– Directly measured from galaxy distribution– Can handle patchy survey volume– Observation-friendly statistic

•• PS and CF are complementary statisticsPS and CF are complementary statistics

( )∫ ‡−= || )( 3 rrk ξierdkP

)(kP )(rξ

Page 6: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Power spectrum and Correlation function

• Baryon Acoustic Oscillation in PS and CF

Power spectrum:

Many baryon wiggles

Correlation function:

Single baryon peak

TM (2004)

Page 7: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

2D Power spectrum, 2D correlation function

• 2D PS– Theoretical formula is simple (under distant-observer approx.)

Non-trivial to incorporate wide-angle effect

• 2D CF– Theoretical formula is tedious (but straightforward)

Wide-angle effects and selection effects are incorporated

Page 8: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

2D power spectrum and 2D correlation function

• BAO features in 2D PS and 2D CF

Hu & Haiman (2003) TM (2004)

2D Power spectrum:

“Baryonic Rings”2D Correlation function:

“Baryonic Ridge”

Page 9: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Error forecasts from CF analysis

• Fisher Matrix, assuming WFMOS-like survey

Page 10: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Analysis of SDSS LRG survey

• BAO in 2DCF of SDSS LRG: in progress (Okumura etal.)– Z ~ 0.3, ~ 1Gpc3

very p

relim

inary

very p

relim

inary

Page 11: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Karhunen-Loeve Eigenmode analysis

• KL modes– Fourier modes are not

statistically independent infinite survey geometries

– Statistically independentmodes in a given surveygeometry: KL modes

Vogeley & Szalay 1996

– Optimal analysis w.r.t. S/N

– KL analysis with BAO

Formulated by TM, Szalay &Pope (2004)

Page 12: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Summary

• BAO in PS and CF– Power spectrum

theoretically simple,

baryonic features spread into many rings

– Correlation function

Theoretical formula is tedious (but already implemented)

Baryonic features accumulated as a single ridge

• SDSS LRG constraining dark energy by BAO– in progress (same analysis applicable to WFMOS)

• KL Eigenmode analysis : an optimal method– BAO analysis by Karhunen-Loeve method will also be useful

Page 13: Analyzing BAO in Galaxy Surveys · •BAO in PS and CF – Power spectrum theoretically simple, baryonic features spread into many rings –Correlation function Theoretical formula

Cosmological Distortion Effect

• Cosmological distortion effect and dark energy

M0Ω 0w 1wK0Ω

1.0=z

3.0=z

1=z

3=z

( )zwwzw 10)( +=

Line of sight