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Cosmic Structures: Challenges for Astro- Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k) * Features in P(k) * Parameter estimation and model selection * Beyond the 2-point statistic * The big questions: dark matter, dark energy, galaxy formation

Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

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Page 1: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Cosmic Structures:Challenges for Astro-Statistics

Ofer Lahav Department of Physics and Astronomy University College London

* Data compression – e.g. P(k) * Features in P(k) * Parameter estimation and model selection* Beyond the 2-point statistic* The big questions: dark matter, dark energy, galaxy formation

Page 2: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)
Page 3: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

FF

2MASS Galactic chart 2MASS Galactic chart (Tom Jarrett)(Tom Jarrett)

Page 4: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Redshift Surveys

Page 5: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

The Cosmic Web

CfA Great Wall

SDSS

Great Attractor 2dFGRS

Page 6: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Is the universe a fractal?A short answer: NO

N(<R) / RD

D=1.2

Page 7: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

clumpiness

Small scales

Page 8: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Correlation Function per Type

Why a power law?

different slopes for blue and red explained by different halo Occupation numbers

dP / n [1+(r)] dV

r) = (r/r0)-

Madgwick et al. 03

Page 9: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Halo model for LSS

Picture credit: Cooray & Sheth (2002)

Page 10: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

The halo model – the ‘new biasing’

Collister & Lahav, astro-ph/0412516

Truncated NFW fit with C=2.4§ 0.2 using 2dF Groups

P(k) = Plin+Phalo

Page 11: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Neutrinos decoupled when they were still relativistic,hence they wiped out structure on small scales

112 neutrinos per cm3

WDMCDM+HDM

CDM

From 2dF < 0.04 ; M < 1.8 eV (Elgaroy & OL 2003)From Ly-a+SDSS +CMB M < 0.17 eV (Seljak et al. 2006)

Page 12: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Mock Universes:Models vs. Epoch

Page 13: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Same amplitudes, different phases

Chiang & Coles 2000

Page 14: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Non-Gaussianity in LSS

Guassian density contrast pdf will turn into (roughly) a log-normal pdf.

Gravity is an amplifier: the rich gets richer

the poor gets poorer

• Needed: non-G tests, shape finders

Page 15: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

CiC

2dF early type

Wild et al 2004

Page 16: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Minkowski functionals

Page 17: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

( )2

Page 18: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Martinez et al.

Wavelet MF V3 applied to 2dF

Page 19: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Are the 2dFGRS superclustersanomalous?

Baugh et al., Erdogdu et al., Murphy & OL

Abell Abell clustersclusters77 groups 77 groups (>8)(>8)

Abell Abell clustersclustersgroups groups (>8)(>8)

Page 20: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

MegaZ-LRG *Training on ~13,000 2SLAQ*Generating with ANNz Photo-z for ~1,000,000 LR over 5,000 sq deg

z = 0.046

Collister, Lahav, Blake et al.

Page 21: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

power spectra out to 1 Gpcvary 4 parameters

Non-linear P(k)

Linear P(k)

Minimum fitted

multipole

Blake et al., astro-ph/0605303

Page 22: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

Baryon Wiggles as Standard Ruler

Page 23: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

The Dark Energy Survey

• 4 complementary techniques:

* Cluster counts & clustering * Weak lensing * Galaxy angular clustering * SNe Ia distances

Build new 3 deg2 camera on the CTIO Blanco 4m Construction 2005-2009 Survey 2009-2014 (~525 nights)

5000 deg2 g, r, i, z 300, 000, 000 galaxies with photo-z

Science goal: w to ~5-10% on each technique

Page 24: Cosmic Structures: Challenges for Astro-Statistics Ofer Lahav Department of Physics and Astronomy University College London * Data compression – e.g. P(k)

LSS - The Steps Ahead

* Spetcroscopic and photometric Surveys

Of 106 – 108 galaxies

* Beyond the 2-point statistic:

higher meoments, MF, shape finders, phases…

* The interplay with galaxy formation

* Dark energy surveys (BAO, WL)

* The VO infra-structure