500,000 statistically-random dots

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500,000 statistically-random dots

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500,000 statistically-random dots. Brightest ~500,000 Galaxies in the Northern Hemisphere (1977; RA & DEC only). 2-D “ lacework ” pattern. CfA “ Slice of the Universe ” (1987; first 3-D view of the galaxy distribution). Two Degree Field Galaxy Redshift Survey (2dFGRS); ~250,000 galaxies. - PowerPoint PPT Presentation

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Page 1: 500,000 statistically-random dots

500,000 statistically-random dots

Page 2: 500,000 statistically-random dots

Brightest ~500,000 Galaxies in the Northern Hemisphere (1977; RA & DEC only)

2-D “lacework” pattern

Page 3: 500,000 statistically-random dots

CfA “Slice of the Universe” (1987; first 3-D view of the galaxy distribution)

Page 4: 500,000 statistically-random dots

Two Degree Field Galaxy Redshift Survey (2dFGRS); ~250,000 galaxies

Page 5: 500,000 statistically-random dots

Blow-up of a region of the 2dF pie slice

Page 6: 500,000 statistically-random dots

The Local Network of “Superclusters” and Voids(organization of the universe on the largest scale)

Galaxies cluster together to form “groups” or “clusters” of galaxies

Clusters of galaxies cluster together to form “superclusters”

of galaxies

Superclusters are still in the process of forming (not virialized)

We belong to the Virgo Supercluster

Voids are regions of space where, for some reason, galaxies

had a hard time formingEach white dot in the picture represents a galaxy.

Page 7: 500,000 statistically-random dots

CDM Simulation (red = galaxy cluster location)

Page 8: 500,000 statistically-random dots

Luminosity Segregation

Page 9: 500,000 statistically-random dots

Cold, Warm & Hot Dark Matter Universes

CDM

WDM

HDM

Dark matter only simulations by Ben Moore (University of Zurich)

Page 10: 500,000 statistically-random dots

2dFGRS zcones vs. CDM

Page 11: 500,000 statistically-random dots

P(k) from SDSS

From Tegmark et al. (2004)

Galaxy Power Spectrum from SDSS (data points) compared to Lambda-CDM prediction (red line)