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Luminosity Bias. II. The Cosmic Web of the First Stars

Published online by Cambridge University Press:  12 May 2013

R. Barkana*
Affiliation:
Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
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Abstract

Understanding the formation and evolution of the first stars and galaxies represents one of the most exciting frontiers in astronomy. Since the universe was filled with neutral hydrogen at early times, the most promising method for observing the epoch of the first stars is using the prominent 21-cm spectral line of the hydrogen atom. Current observational efforts are focused on the reionisation era (cosmic age t ~ 500 Myr), with earlier times considered much more challenging. However, the next frontier of even earlier galaxy formation (t ~ 200 Myr) is emerging as a promising observational target. This is made possible by a recently noticed effect of a significant relative velocity between the baryons and dark matter at early times. The velocity difference suppresses star formation, causing a unique form of early luminosity bias. The spatial variation of this suppression enhances large-scale clustering and produces a prominent cosmic web on 100 comoving Mpc scales in the 21-cm intensity distribution. This structure makes it much more feasible for radio astronomers to detect these early stars, and should drive a new focus on this era, which is rich with little-explored astrophysics.

Information

Type
Research Article
Copyright
Copyright © Astronomical Society of Australia 2013 
Figure 0

Figure 1. Overview of cosmic history, with the age of the universe shown on the top axis and the corresponding redshift on the bottom axis. Yellow represents ionised hydrogen and grey is neutral. Observers probe the cosmic gas using the absorption of background light (dotted lines) by atomic hydrogen. Stars formed in haloes whose typical size continually grew with time, going from the first generation that formed through molecular-hydrogen cooling (red dots), to the larger galaxies that formed through atomic cooling and likely dominated cosmic reionisation (blue dots), all the way to galaxies as massive as the Milky Way, some of which host bright quasars (green dots). From Barkana (2006b).

Figure 1

Figure 2. During reionisation, the ionised bubbles created by clustered groups of galaxies (Barkana & Loeb 2004) imprinted a signature in the power spectrum of 21-cm fluctuations (Furlanetto et al. 2004a). The illustration (top panel, from Barkana 2006b) shows how regions with large-scale overdensities form large concentrations of galaxies (dots) whose ionising photons produce large ionised bubbles. At the same time, other large regions have a low density of galaxies and are still mostly neutral. A similar pattern has been confirmed in large-scale numerical simulations of reionisation (e.g. bottom panel, showing a two-dimensional slice from a 150-Mpc simulation box; Mellema et al. 2006).

Figure 2

Figure 3. The contribution of various scales to the mean squared velocity difference between the baryons and dark matter (at the same position) at recombination. The contribution per log k of fluctuations at wavenumber k is shown vs k. From Tseliakhovich & Hirata (2010).

Figure 3

Figure 4. Effect of relative velocity on individual haloes, from numerical simulations (including gravity and hydrodynamics). The colours indicate the gas density, which ranges from 10−26 (blue) to 10−23 g cm−3 (red). Two haloes are shown at z = 20, with a total halo mass of 2 × 106 M (top) or 8 × 105 M (bottom). Panels show the result for gas initially moving to the right with a relative velocity of 0 (left), 1 (middle), or 2 (right) in units of the root-mean-square value of the relative velocity at z = 20. $\mathcal {M}$ indicates the corresponding Mach number at z = 20. From O’Leary & McQuinn (2012).

Figure 4

Figure 5. The large-scale density and velocity fields in an example of a slice from a simulated volume 384 Mpc on a side (based on Visbal et al. 2012, but taken from a different box from the one shown in the figures in Visbal et al. 2012, i.e. for a different set of random initial conditions). The thickness of the slice is 3 Mpc (which is also the pixel size of our grid). For the density field (top panel), we show the fractional perturbation relative to the mean, at z = 20; for the velocity field (bottom), we show the magnitude of the relative motion in units of the root-mean-square value (the map is independent of redshift in these relative units).

Figure 5

Figure 6. Effect of relative velocity on the number density of stars at redshift 20. For the same slice as in Figure 5, we compare the previous expectation (top panel), including the effect of density only, to the new prediction (bottom), including the effect of the same density field plus that of the relative velocity. The colours correspond to the logarithm of the gas fraction in units of its cosmic mean value in each case.

Figure 6

Figure 7. Effect of relative velocity on the number density of stars at redshift 40. For the same slice as in Figure 5, we compare the previous expectation (top panel), including the effect of density only, to the new prediction (bottom), including the effect of the same density field plus that of the relative velocity. The colours correspond to the logarithm of the gas fraction in units of its cosmic mean value in each case. The colour scale spans the same range as in Figure 6 for easy comparison.

Figure 7

Figure 8. Effect of relative velocity on the gas temperature Tk at redshift 20. For the same slice as in Figure 5, we compare the previous expectation (top panel), including the effect of density only, to the new prediction (bottom), including the effect of density and relative velocity. The colours correspond to the logarithm of the gas (kinetic) temperature in units of the CMB temperature at z = 20.

Figure 8

Figure 9. Effect of relative velocity on the redshift 20 21-cm brightness temperature Tb (which measures the observed intensity of radio waves emitted by intergalactic hydrogen atoms at 21 cm). For the same slice as in Figure 5, we compare the previous expectation (top panel), including the effect of density only, to the new prediction (bottom), including the effect of density and relative velocity. The colours correspond to the 21-cm brightness temperature in millikelvin units.

Figure 9

Figure 10. Signature of the relative velocity in the 21-cm power spectrum, at the peak of the X-ray heating transition at z = 20. We consider the prediction including the relative velocity effect (blue solid curve) or with the effect of densities only (red dotted curve), both for the case of a late LW transition for which the LW feedback is still negligible at z = 20. These predictions are compared to the projected 1σ telescope sensitivity (green dashed curve) based on 1000-h observations with an instrument such as the Murchison Wide-field Array or the Low Frequency Array but designed to operate at 50–100 MHz (McQuinn et al. 2006), where we include an estimated degradation factor due to foreground removal (Liu 2012); this sensitivity is defined as the signal that would yield a measurement with a signal-to-noise ratio of unity in each k bin of size Δk = 0.5k averaged over an 8-MHz frequency band. Future experiments such as the Square Kilometre Array should reach a better sensitivity by more than an order of magnitude (McQuinn et al. 2006). To allow for the possibility of feedback, we also show the prediction for the opposite limit of maximum feedback, i.e., an early LW transition that has already saturated (purple solid curve). In this plot, we have fixed the heating transition at z = 20 for easy comparison among the various cases. From Visbal et al. (2012).