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2 2 SDSS LSS. P (s) (k) ο (s) (s) 2. P (s) (k) ο (s) (s) Ω P (s) (k) ο (s) (s)

3 3 2dF QSO Scientic aims of the 2dF QSO Redshift Survey The scientic goals of the survey relating to largescale structure are:. Determining the QSO clustering power spectrum, P(k), from 2 to h ; Mpc. 2. Measuring,, the cosmological constant from geometric distortions in clustering. 3. Tracing the evolution of QSO clustering from z=.3 to z=3. to get limits on and QSO bias. Other scientic aims: determining the QSO luminosity function, gravitational lensing studies, absorption line studies, spectral classication of QSOs... Figure : Proceedings of the Second Coral Sea Cosmology Conference, Redshift Surveys and Cosmology", Dunk Island, August 999, Editor: Matthew Colless, Scott Croom, The 2dF QSO Redshift Survey: Measurements of Large-Scale Structure" OHP

4 4 Comparison of Redshift Survey Volumes From the compliation of Hatton, (999). 2dF QSO Redshift Survey geometry: strips at =,{3 z=.3 to 2.9, complete at.3<z<2.2. z= ) 32h ; Mpc at z ( =, =) ) 4228h ; Mpc at z ( =.3, =.7). Figure 2: Scott Croom, The 2dF QSO Redshift Survey: Measurements of Large-Scale Structure" OHP

5 5 Figure 3: 2dF QSO (2 3 )

6 6 2dF QSO Redshift Survey (r) (=.7).3<z<2.2, =.3, = QSOs. Best t: r =4.79 +: ;:3 h; Mpc, =.46 +:26 ;:27 Figure 4: Scott Croom, The 2dF QSO Redshift Survey: Measurements of Large-Scale Structure" OHP

7 7 2dF QSO clustering evolution Clustering evolution compared to 3 simple models: Matarrese et al. 997, transient model, M min = 3 M (top). Stable clustering in comoving coordinates (middle). Stable clustering in proper coordinates (bottom). Clearly these simple models cannot adequately describe clustering evolution. Figure 5: Scott Croom, The 2dF QSO Redshift Survey: Measurements of Large-Scale Structure" OHP

8 8 Figure 6: 2dF QSO z- (999 ) Figure 7: 2dF (2 5 )

9 2 9 2 P S nl (k; μ) = P R nl (k; z)[ + fiμ2 ] 2 D vel [kμff P ] (μ fi(z) d ln D(z) b(z) d ln a ; f v (v 2 ) = p 2ffP exp D vel [kμff P ] = p 2jv2 j ff P + (kμff P ) 2 =2 : C A ; P S nl (k; z) Pnl R (k; z) = A(») fi(z)b(») + 5 fi2 (z)c(»)»(z) = kff P (z)=( p 2H ) A(») = arctan(») ; B(») = 3 2 6»» 2 C(») = » 2» + 3arctan(») 3 7 2» arctan(»)» ;

10 2 P (S;lin) 2 (k; z) P (S;lin) (k; z) = ο (S;lin) (x; z) 3 ο (S;lin) Z 2 (x; z) ο (S;lin) (xw; z)w 2 dw = 4 3 fi(z) +4 7 fi 2 (z) fi(z) + 5 fi 2 (z) = " 5 2 [B(») A(»)] + fi(z) 3C(») 5 # 3 B(») + fi 2 (z) A(») fi(z)b(») + 5 fi 2 (z)c(») " 3 2» 2 ( C(»)) 2 C(») # Figure 8: quadrupole monopole (Majira, Jing & Suto 2)

11 2 Figure 9: Durham/UKST Ω :6 =b Ratcliffe, Shanks, Parker & Fong (998, MN- RAS, 296, 9)

12 3 3 2 : x sk (z) = cffiz=h : x s? (z) = czffi =H + x k (z) = c k (z)x sk (z); x? (z) = c? (z)x s? (z); c k (z) = r Ω ( + z) 3 + ( Ω )( + z) 2 + c? (z) = H ( + z) D A (z;ω ; ) cz (Alcock & Paczyński 979; Ballinger, Peacock & Heavens 996; Matsubara & Suto 996) P (CRD) (k s? ;k sk ; z) = c? (z) 2 c k (z) P (S) k s? c? (z) ; k sk c k (z) ; z k sk (z) = c k (z)k k (z), k s? (z) = c? (z)k? (z), P (S) (k? ;k k ; z) = P (R) 2 6 mass (k; z) b2 (z) 4 + fi(z) B k C A k D» k k ff p (z) C A ;

13 3 3 Figure : 2 (Magira, Jing & Suto 2)

14 3 4 Figure : z = 2:2 5 ( ), 5 ( ), 5 ( ) (Magira, Jing & Suto 2)

15 4 5 4 z ο(x s ; z) 2ß 2 Z P S nl (k; z)sin kx s kx s k 2 dk : ο LC (x s ) = Z zmax z min dz dv c dz [ffi(z)n (z)] 2 ο(x s ; z) Z zmax z min dz dv c dz [ffi(z)n (z)] 2 (Yamamoto & Suto 998; Suto, Magira, & Yamamoto 2; Hamana, Colombi, & Suto 2) ffi(z) selection function n (z) z dv c =dz dv c dz = S2 K (χ)dχ dz = 2 S (χ) K H r Ω ( + z) 3 + ( Ω )( + z) 2 + SK(χ) = 8 >< >: sin ( p Ω + H χ)=(h p Ω + ) (Ω + > ) χ (Ω + = ) sinh ( p Ω H χ)=(h p Ω ) (Ω + < ) χ(z) = Z t t dt a(t) = Z z dz H(z )

16 4 6 SCDM SCDM h=.5 h=.5 SCDM SCDM h=.5 h=.5.. Figure 2: N < z < :4 < z < 2: (Hamana, Colombi & Suto 2)

17 5 7 5 hierarchical clustering ansatz ο N (r ;:::;r N ) = X j Q N;j X (ab) N Y ο(rab ) 3 4 : 23 = Q Z 23 ; Q = :29 ± :2 234 = R a A R b B 234 ; R a = 2:5 ± :6; R b = 4:3 ± :2 (:5h Mpc < ο r < ο 4h Mpc); (:h Mpc < ο r < ο h Mpc); (Groth & Peeble 977; Fry & Peebles 978) Z 23 ο 2 ο 23 + ο 2 ο 3 + ο 23 ο 3 ; A 234 ο 2 ο 23 ο 34 + ο 23 ο 34 ο 4 + ο 24 ο 4 ο 2 + ο 3 ο 32 ο 24 + ο 32 ο 24 ο 4 + ο 24 ο 4 ο 3 + ο 2 ο 24 ο 43 + ο 24 ο 43 ο 3 + ο 3 ο 2 ο 24 + ο 3 ο 34 ο 42 + ο 34 ο 42 ο 2 + ο 42 ο 2 ο 3 ; B 234 ο 2 ο 3 ο 4 + ο 2 ο 23 ο 24 + ο 3 ο 32 ο 34 + ο 4 ο 42 ο 43 : Q, R a, R b? (Suto 993, Matsubara & Suto 994, Suto & Matsubara 994)

18 6 8 6 cosmic virial Ω h Mpc 34 ± 4 km=s : CfA (Davis & Peebles 983) 276 ± 7 km=s : CfA (Mo, Jing, and Börner 993) km=s : IRAS (Fisher et al. 994) 367 ± 38 km=s : CfA2 South (Marzke et al. 995) 647 ± 52 km=s : CfA2 North (Marzke et al. 995) 439 ± 2 km=s : SSRS (Mo, Jing, and Börner 993) 57 ± 8 km=s : LCRS (Jing, and Börner 998) cosmic virial ff D;CVT (r) = 46 r 5:4h Mpc vu u t C A fl 2 Ω Q ρ :3b 2 g vu u t I(r c=r;r s =r; fl) r h Mpc C A 33:2 2 fl 2 km=s 5:4 fl :8 2 ο ρ = b 2 g (r + r c=r ) fl Q ρ 3 I(r c =r;r s =r; fl) (r s ) (Peebles 976; Suto & Jing 997)

19 7 9 7 V all x ffi(x) rms ff ffi(x; V f ) ff(v f ) ν V all V all ν = ffi(x; V f )=ff(v f ) A i (i = ο I) : G(ν) V all IX i= g i = 4ßV all IX i= Z A i» da : G(ν) = hk 2 i 3=2 hk 2 i B 4ß C A e ν2 =2 ( ν 2 ) 3 Z k2 P (k) W ~ 2 (kr)d 3 k Z P (k) ~ W 2 (kr)d 3 k (Bardeen et al. 996) ffi k

20 7 2 Figure 3: LCDM (h Mpc) 3 (ν = :, :, :, :7) (Matsubara & Suto 996)

21 7 2 : G(ν) = hk 2 i 4ß H 2 (ν) + ff C A B 3=2 e ν2 S 6 H 5(ν) + 3T 2 H 3(ν) + 3UH (ν) (Matsubara 994).H n (ν) : H = ν, H 2 = ν 2, H 3 = ν 3 3ν, H 4 = ν 4 6ν 2 + 3, H 5 = ν 5 ν 3 + 5ν, ::: S, T, U S = i; T = r 2 ffii; ff 4hffi3 2hk 2 iff 4hffi2 U = 3 4hk 2 i 2 ff 4hrffi rffir2 ffii ffi ( ; Matsubara 994) (Matsubara & Suto 996) 3 C A 7 5 :

22 7 22 Figure 4: Mock Colley, Gott, Weinberg, Park & Berlind (2, ApJ 529, 795) (S; T; U) = (3:468; 2:32; :227) (3:468; 2:96; :292) ApJ published version Matsubara & Suto (996) ffi gal = bffi+=2b 2 (ffi 2 ff 2 )+ S gal = S=b+3b 2 =b 2 T gal = T=b + 2b 2 =b 2 U gal = U=b + b 2 =b 2 b = :3, b 2 = :5 S gal = :78, T gal = :9, U gal = :64

23 highest-redshift universe hierarchical clustering ansatz cosmic virial theorem fi = Ω :6 =b

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