Academia.eduAcademia.edu

Cosmic Vorticity and the Origin Halo Spins

2013, The Astrophysical Journal

In the standard model of cosmology, structure emerges out of a non-rotational flow and the angular momentum of collapsing halos is induced by tidal torques. The growth of angular momentum in the linear and quasi-linear phases is associated with a shear, curl-free, flow and it is well described within the linear framework of tidal torque theory (TTT). However, TTT ceases to be applicable as halos approach turnaround when their ambient flow field becomes rotational. Subsequently, halos become embedded in a vortical flow field and the growth of their angular momentum is affected by the vorticity of their ambient velocity field. Using a cosmological simulation, we have examined the importance of the curl of the velocity field in determining halo spin, finding a significant alignment between the two: the vorticity tends to be perpendicular to the axis of the fastest collapse of the velocity shear tensor (e 1). This is independent of halo masses and cosmic web environment. Our results agree with previous findings on the tendency of halo spin to be perpendicular to e 1 , and of the spin of (simulated) halos and (observed) galaxies to be aligned with the large-scale structure. It follows that angular momentum growth proceeds in two distinct phases. First, the angular momentum emerges out of a shear, curl-free, potential flow, as described by TTT. In the second phase, in which halos approach virialization, the angular momentum emerges out of a vortical flow and halo spin becomes partially aligned with the vorticity of the ambient flow field.

The Astrophysical Journal Letters, 766:L15 (5pp), 2013 April 1  C 2013. doi:10.1088/2041-8205/766/2/L15 The American Astronomical Society. All rights reserved. Printed in the U.S.A. COSMIC VORTICITY AND THE ORIGIN HALO SPINS Noam I. Libeskind1 , Yehuda Hoffman2 , Matthias Steinmetz1 , Stefan Gottlöber1 , Alexander Knebe3 , and Steffen Hess1 1 Leibniz-Institut für Astrophysik, Potsdam, An der Sternwarte 16, D-14482 Potsdam, Germany 2 Racah Institute of Physics, The Hebrew University of Jerusalem, 91904 Jerusalem, Israel 3 Grupo de Astrofisica, Departamento de Fisica Teorica, Universidad Autonoma de Madrid, Cantoblanco E-280049, Spain Received 2012 December 5; accepted 2013 February 18; published 2013 March 12 ABSTRACT In the standard model of cosmology, structure emerges out of a non-rotational flow and the angular momentum of collapsing halos is induced by tidal torques. The growth of angular momentum in the linear and quasi-linear phases is associated with a shear, curl-free, flow and it is well described within the linear framework of tidal torque theory (TTT). However, TTT ceases to be applicable as halos approach turnaround when their ambient flow field becomes rotational. Subsequently, halos become embedded in a vortical flow field and the growth of their angular momentum is affected by the vorticity of their ambient velocity field. Using a cosmological simulation, we have examined the importance of the curl of the velocity field in determining halo spin, finding a significant alignment between the two: the vorticity tends to be perpendicular to the axis of the fastest collapse of the velocity shear tensor (e1 ). This is independent of halo masses and cosmic web environment. Our results agree with previous findings on the tendency of halo spin to be perpendicular to e1 , and of the spin of (simulated) halos and (observed) galaxies to be aligned with the large-scale structure. It follows that angular momentum growth proceeds in two distinct phases. First, the angular momentum emerges out of a shear, curl-free, potential flow, as described by TTT. In the second phase, in which halos approach virialization, the angular momentum emerges out of a vortical flow and halo spin becomes partially aligned with the vorticity of the ambient flow field. Key words: cosmology: theory – dark matter – galaxies: halos – large-scale structure of universe Online-only material: color figures the standard lore of the origin of angular momentum in modern cosmology. TTT provides a framework for calculating the dynamics and statistics of the growth of the angular momentum (e.g., Hoffman 1986; Heavens & Peacock 1988; Steinmetz & Bartelmann 1995). In fact, it is the only framework that enables an analytical analysis of the growth of the angular momentum of dark matter (DM) halos. It does so by considering the growth of the Lagrangian mass of DM halos within the linear theory of gravitational instability. Yet, TTT is of limited validity when considering highly nonlinear virialized halos. Using numerical simulations, Porciani et al. (2002) examined the growth of the angular momentum of the Lagrangian mass associated with z = 0 halos and found that TTT provides a useful description until around ≈60% of the effective turnaround time. At z = 0 the relative error in the predictions for the magnitude of the spin is of the order of unity and the mean scatter in the misalignment between the simulated and the TTT predicted direction of the spin is ≈50◦ . It is clear that nonlinear effects weaken the applicability of TTT on the scale of virial halos. A close examination of TTT reveals that one of the model’s most important tenets is the fact that the primordial flow field is curl-free and therefore that angular momentum emerges out of a shear flow. This principle clearly does not hold deep in the nonlinear regime, where the cosmic flow field becomes vortical (Pichon & Bernardeau 1999; Knebe et al. 2006; Pueblas & Scoccimarro 2009; Kitaura et al. 2012). This has prompted us to study the role the nonlinear vorticity plays in shaping the spin of DM halos. This is in line with recent efforts to understand the emergence of the cosmic web and the properties of DM halos in terms of the local differential properties of the cosmic flow field (Hoffman et al. 2012; Libeskind et al. 2012, 2013). 1. INTRODUCTION Most galaxies, especially late type spirals, are observed to be rotating. Any robust theory of structure and galaxy formation thus needs to account for the origin of angular momentum. In physics in general and hydrodynamics in particular, rotation is often associated with vorticity. Not surprisingly, the early ideas of Heisenberg & von Weizsäcker (1948) attempted to attribute the rotation of spiral nebulae to a primeval vorticity. The so-called theory of cosmic turbulence suggested that density perturbations, out of which structure evolves, emerged out of primordial turbulence and that galaxy rotation originated from a primordial vortical flow (e.g., Ozernoi & Chernin 1968, cf. the excellent review of Jones 1976). These ideas were superseded by an alternative theory which has survived and emerged as the current standard model of cosmology: structure grows by the evolution of small primordial density perturbations via gravitational instability in an expanding universe (e.g., Press & Schechter 1974; White & Rees 1978). By construction the primordial flow field is a potential flow (thus curl-free) and therefore an alternative model for the origin of the galactic spin needs to be invoked. The first such ideas were developed by Strömberg (1934) and Hoyle (1951) and then independently by Peebles (1969), who suggested that tidal interaction between collapsing halos may be responsible for galaxy spins. Accordingly, the induced internal velocity field in the torquing objects, is a curl-free shear flow (Binney 1974). It follows that the resulting angular momentum of cosmological objects is associated with a shear and not a vortical flow. The classical picture of the origin of angular momentum was expanded by tidal torque theory (TTT; White 1984; see also Catelan & Thuens 1996). This seminal paper forms the base for 1 The Astrophysical Journal Letters, 766:L15 (5pp), 2013 April 1 Libeskind et al. Table 1 Simulation Parameters: Box Side Length, Number of Particles, Particle Mass, Softening Scale universe conservation of angular momentum implies that any vortical flow decays linearly (Bouchet et al. 1995). Halos are divided into three mass bins: low (1010 –1011 h−1 M⊙ ), intermediate (1011 –1012 h−1 M⊙ ), and high (1012 –1013 h−1 M⊙ ) mass. The median virial radius (and standard deviation) of each mass bin are 54 ± 13 h−1 kpc, 115±30 h−1 kpc, and 252±64 h−1 kpc, respectively. The alignment between spin and the vorticity is examined on scales 4rvir using the smallest (250 h−1 kpc), intermediate (500 h−1 kpc), and largest (1000 h−1 kpc) Gaussian smoothing kernel for the smallest, intermediate, and largest mass bins, respectively. Lbox Nparticles Mdm ǫ 64 h−1 Mpc 10243 ∼1.897 h−1 M⊙ 1 h−1 kpc Connecting galaxy or halo properties to their environments has its roots in the seminal density-morphology relation of Dressler (1980). A number of papers (Hahn et al. 2007; AragónCalvo et al. 2007; Brunino et al. 2007; Sousbie et al. 2008; Hoffman et al. 2012; Libeskind et al. 2012, 2013, among others) have investigated the relation between halo spin and shape with the large-scale structure (LSS) in numerical simulations using a variety of different techniques to define the cosmic web. Libeskind et al. (2012, 2013) used the velocity shear tensor to show that halo spin tends to be perpendicular to the eigenvector corresponding to the largest eigenvalue of the shear—the direction of greatest collapse (or, in voids, of weakest expansion). It is therefore natural to extend these ideas to the anti-symmetric part and examine how the direction of the curl of the velocity field is distributed relative to the eigenvectors of the shear tensor and halo spin. 3. RESULTS 3.1. Alignment of Cosmic Vorticity with the Velocity Shear In this section the alignment of vorticity with the shear tensor eigenvectors is examined. The probability distribution of the angle formed between the vorticity vector and each of the three eigenvectors of the shear tensor at each grid point in the simulation is shown in Figure 1(a). Since the eigenvectors of the shear denote axes (not directions), the interval is confined to | cos μ| ∈ [0, 1]. Figure 1(a) clearly shows that the vorticity tends to align perpendicular to e1 and in the e2 –e3 plane, evidenced by the highly non uniform distributions. The apparent parallel alignment with e2 and e3 is driven by the perpendicularity with respect to e1 . Note that there is a slight tendency for the vorticity to be more closely aligned with e3 , than e2 , indicating a non-uniform azimuthal distribution. The significance of the alignment is quantified by calculating the average offset between the measured distribution and a uniform one, in units of the Poisson error σ per bin of a uniform distribution. If less than unity, the measured distribution is consistent with random. All three alignments in Figure 1(a) show a ∼6.5σ statistical significance indicating they are fully inconsistent with a random distribution. The median angles between the vorticity and e1 , e2 , and e3 are 0.29, 0.60 and 0.54, respectively. The vorticity of the velocity field tends to be perpendicular to the main axis of the shear and lie in the plane of the intermediate and minor axis. The alignment between the vorticity and the eigenvectors of the shear tensor is also shown for each cosmic web environment as the thin lines in Figure 1(a). The perpendicular alignment between ω and e1 decreases in strength from sheets, to filaments, to knots. This is likely due to the increased erratic behavior of these vectors deep in nonlinear regimes. Regardless of which web element is examined, ω tends to cluster more toward e3 than e2 and always away from eˆ1 . Given the dominance of the shear tensor in shaping the local dynamics, it is only natural to study the orientation of the vorticity with respect to its three eigenvectors. Since the eigenvectors are non-directional lines (axes) the coordinate system they define does not span the full three-dimensional volume, but just the positive octant of the Cartesian grid. Each vorticity vector can thus be normalized to unity, and its direction projected onto a unit sphere defined by the eigenvectors. The distributions of ω on (one-eighth of) the unit sphere can be seen in an equal area projection in Figure 2. The perpendicularity with respect to e1 is clearly visible as the vorticity tends to inhabit regions close to the e2 –e3 plane (the “equator”). As exemplified by the stronger parallel alignment between ω and e3 in Figure 1(a), at low latitude (i.e., for ω’s that are far from e1 ), the vorticity is closer to e3 than to e2 . As latitude increases, 2. METHODS The same WMAP5, ΛCDM cosmological DM simulation as Hoffman et al. (2012; see Table 1) is used here. The halo finder AHF (Knollmann & Knebe 2009) is run on the z = 0 snapshot, identifying halos whose mean interior overdensity is greater than 390ρback . Around ∼106 halos more massive than 1010 h−1 M⊙ are considered. 2.1. Vorticity and Shear Calculation The velocity field is evaluated using the clouds-in-cell (CIC) approach calculated on a 2563 grid giving a spatial resolution of 250 h−1 kpc. Differentiation of the velocity field is performed in Fourier space, using a fast Fourier transform. The CIC velocity field is Gaussian smoothed with kernel lengths of rg = 250 h−1 kpc, 500 h−1 kpc and 1000 h−1 kpc. A given smoothing length is then matched to the appropriate halo mass bin, such that rg roughly equals four virial radii. The velocity field v at each point in space may by expanded as the sum of symmetric and anti-symmetric components. The symmetric component is the shear tensor:   1 ∂vα ∂vβ Σαβ = − , (1) + 2H0 ∂rβ ∂rα where α, β = x, y, and z and H0 is the Hubble constant. The trace of Σαβ is the divergence of the velocity, which is proportional to the overdensity in the linear regime. The number of positive (negative) eigenvalues corresponds directly to the number of axes along which matter is contracting (expanding). If zero, one, two, or three axes are simultaneously collapsing, the region is considered a void, sheet, filament or knot (e.g., see Hoffman et al. 2012). These axes are the eigenvectors of the shear tensor (e1 , e2 , and e3 ). The anti-symmetric component of the expansion is the vorticity, defined as the curl of the velocity field: ω = ∇ × v. Vorticity generation is a strongly nonlinear effect, shown by Kitaura et al. (2012) to appear only in third-order Lagrangian perturbation theory. Initial perturbations are assumed to be effectively curl-free since in an expanding 2 The Astrophysical Journal Letters, 766:L15 (5pp), 2013 April 1 Libeskind et al. Figure 1. Left: the probability distribution P (| cos μ|) as a function of the angle formed, | cos μ| between the vorticity and the three principle axes the shear tensor. The distribution between ω and e1 , e2 , and e3 is shown in black, blue and red. The vorticity displays a clear perpendicular alignment with e1 and parallel alignment with both e2 and e3 . The average offset between these distributions and a uniform one is ∼6.5 times the Poissonian error of a uniform distribution. Right: the probability distribution between the vorticity and the halo spin axis Jhalo . Halos are binned by mass (1012 < M/ h−1 M⊙ < 1013 red; 1011 < M/ h−1 M⊙ < 1012 blue; and 1010 < M/ h−1 M⊙ < 1011 black). Poisson error bars for a uniform distribution with the same number of halos in each mass bin are shown along with the average offset between the alignment and a random distribution in units of the Poisson error (i.e., the statistical significance). None of the alignments are consistent with uniform. (A color version of this figure is available in the online journal.) Figure 2. Orthonormal eigensystem of the shear can be used to define a coordinate system. By normalizing the vorticity vectors to unity, their orientation with respect to this coordinate system is shown to be non-uniform. One-eighth of the unit sphere is shown in an equal area projection here, with contours and colors denoting the (surface) density of vorticities. e1 points toward the north pole (i.e., cos(θ ) = 1) while e2 and e3 are longitudes of 0 and π/2, respectively. A uniform distribution is represented by a monochromatic projection. (A color version of this figure is available in the online journal.) Figure 3. 250 h−1 kpc slice through the simulation showing the unit vorticity vector (ω) (blue arrows) and the principle axis (e1 ) of the shear tensor. Regions where e1 corresponds to collapse (expansion) are shown in red (green). Since e1 is an axis and not a vector, arrowheads are not plotted. The density is shown as the gray scale and the white contour denotes overdensity with respect to the mean. The length of the e1 and ω vectors are normalized to unity such that a short vector implies perpendicularity with respect to the plane. (A color version of this figure is available in the online journal.) the vorticity becomes more uniform, moving closer to e2 at the highest latitudes. In Figure 3 we present the vorticity and shear field around a generic overdensity in a 10 × 10 h−1 Mpc region. In overdense regions (where the vorticity is well defined) e1 tends to point in the same direction across many Mpc, indicating that the axis of greatest collapse is correlated on these scales. In the same region, the perpendicularity of the vorticity and e1 is clearly visible. 3 The Astrophysical Journal Letters, 766:L15 (5pp), 2013 April 1 Libeskind et al. 3.2. Alignment of Cosmic Vorticity with Halo Spins the halo’s turnaround time, the growth of the halo’s angular momentum no longer follows TTT’s predictions. By analyzing a high resolution DM-only cosmological simulation we have shown here that at the present epoch the spin of simulated halos is partially aligned with the vorticity of the large-scale velocity field. This suggests that the acquisition of a halo’s spin proceeds in two phases, before and after roughly half of the halo’s turnaround time. In the first phase the halo is in its linear and quasi-linear regime and the angular momentum grows out of an irrotational shear flow. In the second phase as the halo proceeds toward a virial equilibrium, it condenses out of a rotational, vortical flow. It follows that both phases, the potential flow and the vortical one, contribute to the final spin of a halo and therefore one should not expect the spin to be very strongly aligned with either the current curl of the velocity field or the primordial shear. The mild alignment found here reflects the balance between the two processes. The orientation of galaxies and clusters with respect to the LSS has been shown to be an important variable in the process of galaxy formation and has repercussions on for example, the correlation function (e.g., see van Daalen et al. 2012). Our findings of an alignment of halo spin with the vorticity, and the tendency of the vorticity to be orthogonal to ê1 regardless of the web classification, can thus be directly compared with observational studies. For example, Navarro et al. (2004) reported that nearby disc galaxies (including the Milky Way) tend to spin within the super-galactic plane. On greater scales, Binggeli (1982) showed that the orientations of clusters of galaxies are anisotropic with respect to the cluster distribution: prolate clusters are roughly parallel. Using the Two Micron All Sky Survey, Lee & Erdogdu (2007) reconstructed the observed shear field finding an alignment between galaxy spins and the intermediate axis. Alignments have been examined in the Sloan Digital Sky Survey by Paz et al. (2011) among others: Tempel et al. (2013) found that the spin of spiral galaxies is aligned with the filament axis (i.e., perpendicular to ê1 ). The orientation of spin with respect to voids is controversial: Trujillo et al. (2006) reported that disc galaxies located in shells surrounding voids, rotate preferentially in the shell. This was disputed by Slosar & White (2009) who found a distribution consistent with random. Varela et al. (2012) find that within specifically chosen shells, discs are aligned perpendicular to the void’s radial direction. In our web classification scheme, voids are bounded by sheets for which the plane of the sheet is defined by ê1 . Since the vorticity tends to lie within the plane of the sheet, it follows that halo spins are embedded within sheets—an alignment similar that found by Trujillo et al. (2006). Much theoretical work (e.g., Patiri et al. 2006; Hahn et al. 2007; Aragón-Calvo et al. 2007; Brunino et al. 2007; Sousbie et al. 2008; Wang et al. 2011; Libeskind et al. 2012; Codis et al. 2012; Trowland et al. 2013 and references therein) has been dedicated to predicting, understanding and quantifying these alignments. Although these studies have access to the full six-dimensional phase space information, spin alignments with respect to the LSS, but never with the vorticity, have until now been investigated. Understanding how the Milky Way halo spins is of direct importance to studies that examine the geometry and kinematics of the Milky Way’s satellite galaxy population (Knebe et al. 2004; Libeskind et al. 2005, 2011; Deason et al. 2011). The vorticity studied here reflects the behavior of the flow field on scales greater than ∼4rvir which for Milky-Way-type Since Libeskind et al. (2013) showed that halo spin axes tend to align with the principle axes of the shear tensor, and in the preceding section a correlation between the shear eigenvectors and the vorticity was shown, the alignment of vorticity and halo spin is now examined. Such an alignment would be indicative of a rotational flow, rather than the classical picture that halos form out of a potential, irrotational flow. In Figure 1(b) we show the alignment of halo spin with the vorticity for three halo mass bins. Note that in this case the angle is between two vectors and as such allowed to range from −1 to 1. Figure 1(b) shows a clear correlation of halo spin with vorticity for all mass bins. The strength of this alignment is mass-dependent, with larger halo’s having their spin more tightly aligned with the vorticity. The smallest, intermediate, and highest mass bins have medians of cos μ = 0.13, 0.23, and 0.39, indicating that ∼6%, ∼11%, and ∼19% of halos in each mass bin are aligned in a manner inconsistent with a uniform distribution. For the smallest mass bin, the halos have the weakest alignment, yet display the strongest signal (∼5.3σ ) statistically speaking, since this mass bin contains the largest number of halos. The highest mass bin is inconsistent with a random distribution at the ∼98% confidence level and shows the strongest alignment. Halo spin is correlated with the large-scale vorticity of the velocity field. 4. CONCLUSIONS AND DISCUSSION Using a high-resolution cosmological simulation, the relationship between halo spin and the relevant directions that characterize the LSS is studied. The velocity field has been evaluated on a smoothed, CIC grid. The local differential behavior of the velocity field is then accounted for, at each grid cell, by the symmetric and antisymmetric components. The directions of the vorticity, the eigenvectors of the shear tensor (which represent directions of collapse or expansion) and halo angular momentum have been compared. The main findings are threefold: 1. Halo spin is correlated with the direction of the local vorticity on scales 4rvir . The strength of the correlation is mass-dependent, with the most massive halos being the most aligned with the vorticity. 2. The direction of the vorticity tends to be perpendicular to the shear eigenvector associated with the largest eigenvalue (ê1 ). In all web environments except voids (namely knots, filaments and sheets) ê1 corresponds to the axis of fastest collapse. In voids ê1 corresponds to the axis of slowest expansion. 3. The strength of both alignments depends only weakly on the web classification and the general trends are found throughout the simulated volume. A key element of the standard model of cosmology is that structure emerges out of rotation-free Gaussian primordial perturbations into a homogenous and isotropic universe. It follows that the early dynamical phase of halo growth is characterized by being a shear, curl-free, (potential) flow. TTT (White 1984) provides the theoretical framework to account for how the angular momentum of a halo’s Lagrangian mass grows at this early stage. However, as the Lagrangian mass of a halo decouples from the Hubble expansion, the flow field around the halo becomes more nonlinear and more vortical (see Kitaura et al. 2012). Porciani et al. (2002) showed that at about half 4 The Astrophysical Journal Letters, 766:L15 (5pp), 2013 April 1 Libeskind et al. halos is approximately the Mpc scale. Just a handful of dwarf galaxies near the Milky Way have reliable proper motions (see Metz et al. 2008 for a description of these): it is thus still too difficult to reliably measure the spin of the Milky Way’s halo and the vorticity of our cosmic environment. However, future telescopes such as LSST and SkyMapper will be able to measure proper motions of dwarfs on these scales, thus probing the external flow field. With respect to external galaxies, missions such as Gaia and Euclid may be able to map the largescale orientation of the vorticity in larger volumes. This can be done by mapping the orientation of disc galaxies and using it to model the orientation of the vorticity. The well known misalignment between simulated galactic disks and their parent halos (Bailin et al. 2005; Libeskind et al. 2007; Bett et al. 2010) complicates the suggested task. Yet, the relatively weak statistical significance of the vorticity-spin alignment implies that the effect can be measured only for a large enough sample of galaxies and not by a few individual galaxies. This needs to be tested and gauged against cosmological simulations. Hoffman, Y., Metuki, O., Yepes, G., et al. 2012, MNRAS, 425, 2049 Hoyle, F. 1951, in Problems of Cosmical Aerodynamics, ed. J. M. Burgers & H. C. van de Hulst (Dayton, OH: Central Air Documents Office), 195 Jones, B. J. T. 1976, RvMP, 48, 107 Kitaura, F.-S., Angulo, R. E., Hoffman, Y., & Gottlöber, S. 2012, MNRAS, 425, 2422 Knebe, A., Domı́nguez, A., & Domı́nguez-Tenreiro, R. 2006, MNRAS, 371, 1959 Knebe, A., Gill, S. P. D., Gibson, B. K., et al. 2004, ApJ, 603, 7 Knollmann, S. R., & Knebe, A. 2009, ApJS, 182, 608 Lee, J., & Erdogdu, P. 2007, ApJ, 671, 1248 Libeskind, N. I., Cole, S., Frenk, C. S., Okamoto, T., & Jenkins, A. 2007, MNRAS, 374, 16 Libeskind, N. I., Frenk, C. S., Cole, S., et al. 2005, MNRAS, 363, 146 Libeskind, N. I., Hoffman, Y., Forero-Romero, J., et al. 2013, MNRAS, 428, 2489 Libeskind, N. I., Hoffman, Y., Knebe, A., et al. 2012, MNRAS, 421, L137 Libeskind, N. I., Knebe, A., Hoffman, Y., et al. 2011, MNRAS, 411, 1525 Metz, M., Kroupa, P., & Libeskind, N. I. 2008, ApJ, 680, 287 Navarro, J. F., Abadi, M. G., & Steinmetz, M. 2004, ApJL, 613, L41 Ozernoi, L. M., & Chernin, A. D. 1968, SvA, 11, 907 Patiri, S. G., Cuesta, A. J., Prada, F., Betancort-Rijo, J., & Klypin, A. 2006, ApJL, 652, L75 Paz, D. J., Sgró, M. A., Merchán, M., & Padilla, N. 2011, MNRAS, 414, 2029 Peebles, P. J. E. 1969, ApJ, 155, 393 Pichon, C., & Bernardeau, F. 1999, A&A, 343, 663 Porciani, C., Dekel, A., & Hoffman, Y. 2002, MNRAS, 332, 339 Press, W. H., & Schechter, P. 1974, ApJ, 187, 425 Pueblas, S., & Scoccimarro, R. 2009, PhRvD, 80, 043504 Slosar, A., & White, M. 2009, JCAP, 6, 9 Sousbie, T., Pichon, C., Colombu, S., Novikov, D., & Pogosyan, D. 2008, MNRAS, 383, 1655 Steinmetz, M., & Bartelmann, M. 1995, MNRAS, 272, 570 Strömberg, G. 1934, ApJ, 79, 460 Tempel, E., Stoica, R. S., & Saar, E. 2013, MNRAS, 428, 1827 Trowland, H. E., Lewis, G. F., & Bland-Hawthorn, J. 2013, ApJ, 762, 72 Trujillo, I., Carretero, C., & Patiri, S. G. 2006, ApJL, 640, L111 van Daalen, M. P., Angulo, R. E., & White, S. D. M. 2012, MNRAS, 424, 2954 Varela, J., Betancort-Rijo, J., Trujillo, I., & Ricciardelli, E. 2012, ApJ, 744, 82 Wang, H., Mo, H. J., Jing, Y. P., Yang, X., & Wang, Y. 2011, MNRAS, 413, 1973 White, S. D. M. 1984, ApJ, 286, 38 White, S. D. M., & Rees, M. J. 1978, MNRAS, 183, 341 REFERENCES Aragón-Calvo, M. A., van de Weygaert, R., Jones, B. J. T., & van der Hulst, J. M. 2007, ApJL, 655, L5 Bailin, J., Kawata, D., Gibson, B. K., et al. 2005, ApJL, 627, L17 Bett, P., Eke, V., Frenk, C. S., Jenkins, A., & Okamoto, T. 2010, MNRAS, 404, 1137 Binggeli, B. 1982, A&A, 107, 338 Binney, J. 1974, MNRAS, 168, 73 Bouchet, F. R., Colombi, S., Hivon, E., & Juszkiewicz, R. 1995, A&A, 296, 575 Brunino, R., Trujillo, I., Pearce, F. R., & Thomas, P. A. 2007, MNRAS, 375, 184 Catelan, P., & Thuens, T. 1996, MNRAS, 282, 455 Codis, S., Pichon, C., Devriendt, J., et al. 2012, MNRAS, 427, 3320 Deason, A. J., McCarthy, I. G., Font, A. S., et al. 2011, MNRAS, 415, 2607 Dressler, A. 1980, ApJ, 236, 351 Hahn, O., Carollo, C. M., Porciani, C., & Dekel, A. 2007, MNRAS, 381, 41 Heavens, A., & Peacock, J. 1988, MNRAS, 232, 339 Heisenberg, W., & von Weizsäcker, C. F. 1948, ZPhy, 125, 290 Hoffman, Y. 1986, ApJ, 301, 65 5