[Paleopsych] Science: Mapping the large-scale structure of the universe
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Mapping the large-scale structure of the universe
http://www.sciencemag.org/cgi/content/full/309/5734/564
Science, Vol 309, Issue 5734, 564-565 , 22 July 2005
[DOI: 10.1126/science.1115128]
[Thanks to Eugen for this.]
Mapping the Large-Scale Structure of the Universe
David H. Weinberg*
In a large-scale view of the universe, galaxies are the basic unit of
structure. A typical bright galaxy may contain 100 billion stars and span tens
of thousands of light-years, but the empty expanses between the galaxies are
much larger still. Galaxies are not randomly distributed in space, but instead
reside in groups and clusters, which are themselves arranged in an intricate
lattice of filaments and walls, threaded by tunnels and pocked with bubbles.
Two ambitious new surveys, the Two-Degree Field Galaxy Redshift Survey (2dFGRS)
and the Sloan Digital Sky Survey (SDSS), have mapped the three-dimensional
distribution of galaxies over an unprecedented range of scales (1, 2).
Astronomers are using these maps to learn about conditions in the early
universe, the matter and energy contents of the cosmos, and the physics of
galaxy formation.
Galaxies and large-scale structure form as a result of the gravitational
amplification of tiny primordial fluctuations in the density of matter. The
inflation hypothesis ascribes the origin of these fluctuations to quantum
processes during a period of exponential expansion that occupied the first
millionth-of-a-billionth-of-a-trillionth of a second of cosmic history.
Experiments over the last decade have revealed the imprint of these
fluctuations as part-in-100,000 intensity modulations of the cosmic microwave
background (CMB), which records the small inhomogeneities present in the
universe half a million years after the big bang. Although the visible
components of galaxies are made of "normal" baryonic matter (mostly hydrogen
and helium), the gravitational forces that drive the growth of structure come
mainly from dark matter, which is immune to electromagnetic interactions.
By combining precise, quantitative measurements of present-day galaxy
clustering with CMB data and other cosmological observations, astronomers hope
to test the inflation hypothesis, to pin down the physical mechanisms of
inflation, to measure the amounts of baryonic and dark matter in the cosmos,
and to probe the nature of the mysterious "dark energy" that has caused the
expansion of the universe to accelerate over the last 5 billion years. The
2dFGRS, completed in 2003, measured distances to 220,000 galaxies, and the SDSS
is now 80% of the way to its goal of 800,000 galaxies (see the figure). The key
challenge in interpreting the observed clustering is the uncertain relation
between the distribution of galaxies and the underlying distribution of dark
matter. If the galaxy maps are smoothed over tens of millions of lightyears,
this relation is expected to be fairly simple: Variations in galaxy density are
constant multiples of the variations in dark matter density. Quantitative
analysis in this regime has focused on the spatial power spectrum, which
characterizes the strength of clustering on different size scales (3, 4). The
power spectrum describes the way that large, intermediate, and small
structures--like the mountain ranges, isolated peaks, and rolling hills of a
landscape--combine to produce the observed galaxy distribution. The shape of
the dark matter power spectrum is a diagnostic of the inflation model, which
predicts the input spectrum from the early universe, and of the average dark
matter density, which controls the subsequent gravitational growth. Recent
analyses have also detected subtle modulations of the power spectrum caused by
baryonic matter, which undergoes acoustic oscillations in the early universe
because of its interaction with photons (4, 5).
To go further, one would like to know the precise amplitude of dark matter
clustering, not just the variation of clustering with scale. Unfortunately, the
factor relating galaxy and dark matter densities depends on aspects of galaxy
formation that are difficult to model theoretically. One observational approach
to isolating dark matter clustering uses weak gravitational lensing, in which
the dark matter surrounding nearby galaxies subtly distorts the apparent shapes
of the distant galaxies behind them. Another approach uses the relative
probabilities of different triangular configurations of galaxy triples, picking
out the characteristic filamentary geometry produced by anisotropic
gravitational collapse. Applications of these two methods to the SDSS and the
2dFGRS, respectively, imply that the clustering strength of bright, Milky
Way-type galaxies is similar to that of the underlying dark matter (6, 7).
Figure 1 The big picture. Large-scale structure in the SDSS. The SDSS uses
a mosaic charge-coupled device camera to image regions of the sky and a
fiber-fed spectrograph to measure distances of galaxies selected from these
images. The main panel shows the SDSS map of 67,000 galaxies that lie within 5°
of the equatorial plane; the region of sky obscured by the Milky Way is not
mapped. Each wedge is 2 billion light-years in extent. Galaxies are color-coded
by luminosity, and more luminous galaxies can be seen to greater distances.
(Inset) SDSS image of a cluster of galaxies, showing a region roughly 1 million
light-years on a side.
CREDIT: IMAGES COURTESY OF THE SLOAN DIGITAL SKY SURVEY COLLABORATION
On smaller scales, the relation between galaxies and dark matter becomes more
complex, and it is different for different types of galaxies. Redder galaxies
composed of older stars reside primarily in clusters, the dense urban cores of
the galaxy distribution. Younger, bluer galaxies populate the sprawling,
filamentary suburbs. Current efforts to model galaxy clustering in this regime
focus on the "halo occupation distribution," a statistical description of the
galaxy populations of gravitationally bound "halos" of dark matter. Depending
on its mass, an individual dark halo may play host to a single bright galaxy, a
small group of galaxies, or a rich cluster.
By combining theoretical predictions for the masses and clustering of halos
with precise measurements of the clustering of galaxies, one can infer the halo
occupation distribution for different classes of galaxies empirically.
Theoretical models of galaxy formation predict a strong dependence of halo
occupation on galaxy luminosity and color, and the initial results from the
2dFGRS and the SDSS show good qualitative agreement with these predictions (8,
9). Increased precision and measurements for more galaxy classes will test the
predictions in much greater detail, and they will sharpen our understanding of
the physical processes that produce visible galaxies in the first place and
determine their observable properties. By deriving the relation between
galaxies and dark matter from the clustering data themselves, halo occupation
methods also allow new cosmological model tests that take advantage of precise
measurements on small and intermediate scales.
The large-scale clustering results from the 2dFGRS and the SDSS, in combination
with CMB measurements and other cosmological data, support the predictions of a
simple inflation model in a universe that contains 5% normal matter, 25% dark
matter, and 70% dark energy (10). However, several analyses that incorporate
smaller scale clustering suggest that either the matter density or the matter
clustering amplitude is lower than this "concordance" model predicts, by 30 to
50% (11-13). This tension could reflect systematic errors in the measurements
or the modeling, but it could also signal some departure from the simplest
models of primordial fluctuations or dark energy. For example, if inflation
produces gravity waves that contribute to observed CMB fluctuations, then naïve
extrapolation of these fluctuations would overpredict the level of matter
clustering today. Alternatively, evolution of the dark energy component can
affect the amount of growth since the CMB epoch. As the SDSS moves toward
completion, improved clustering measurements and analyses may restore the
consensus on a "vanilla" cosmological model, or they may provide sharper
evidence that our theoretical recipe for the universe is still missing a key
ingredient.
References and Notes
1. M. Colless et al., Mon. Not. R. Astron. Soc. 328, 1039 (2001). [ADS]
2. D. G. York et al., Astron. J.120, 1579 (2000). [ADS]
3. M. Tegmark et al., Astrophys. J. 606, 702 (2004). [ADS]
4. S. Cole et al., http://arxiv.org/abs/astro-ph/0501174.
5. D. J. Eisenstein et al., http://arxiv.org/abs/astro-ph/ 0501171.
6. E. Sheldon et al., Astron. J.127, 2544 (2004). [ADS]
7. L. Verde et al., Mon. Not. R. Astron. Soc. 335, 432 (2002). [ADS]
8. F. C. van den Bosch, X. Yang, H. J. Mo, Mon. Not. R. Astron. Soc. 340,
771 (2003). [ADS]
9. I. Zehavi et al., http://arxiv.org/abs/astro-ph/0408569.
10. Convergence on this model from several independent lines of evidence was
the 2003 Science "Breakthrough of the Year," C. Seife, Science 302, 2038
(2003).
11. F. C. van den Bosch, H. J. Mo, X. Yang, Mon. Not. R. Astron. Soc. 345,
923 (2003). [ADS]
12. N. A. Bahcall et al., Astrophys. J. 585, 182 (2003). [ADS]
13. J. L. Tinker, D. H. Weinberg, Z. Zheng, I. Zehavi, Astrophys. J., in
press; preprint available at http://arxiv.org/abs/astro-ph/0411777.
14. I thank the National Science Foundation for support.
The author is in the Department of Astronomy, Ohio State University, 140 West
18th Avenue, Columbus, OH 43210, USA E-mail: dhw at astronomy.ohio-state.edu
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