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NONEQUILIBRIUM ELECTRONS AND THE SUNYAEV–ZEL'DOVICH EFFECT OF GALAXY CLUSTERS

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Published 2009 July 22 © 2009. The American Astronomical Society. All rights reserved.
, , Citation Douglas H. Rudd and Daisuke Nagai 2009 ApJ 701 L16 DOI 10.1088/0004-637X/701/1/L16

1538-4357/701/1/L16

ABSTRACT

We present high-resolution cosmological hydrodynamic simulations of three galaxy clusters employing a two-temperature model for the intracluster medium. We show that electron temperatures in cluster outskirts are significantly lower than the mean gas temperature, because Coulomb collisions are insufficient to keep electrons and ions in thermal equilibrium. This deviation is larger in more massive and less relaxed systems, ranging from 5% in relaxed clusters to 30% for clusters undergoing major mergers. The presence of nonequilibrium electrons leads to significant suppression of the Sunyaev–Zel'dovich effect (SZE) signal at large cluster-centric radius. The suppression of the electron pressure also leads to an underestimate of the hydrostatic mass. Merger-driven, internal shocks may also generate significant populations of nonequilibrium electrons in the cluster core, leading to a 5% bias on the integrated SZ mass proxy during cluster mergers.

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1. INTRODUCTION

In current theories of cosmological structure formation, the cold dark matter and baryon fluid undergoes gravitational collapse, leading to virialized filaments and roughly spherical "halos" on a variety of scales. Collisionless shocks play a critical role in this process by converting the kinetic energy of infalling baryonic material to thermal energy. This heating leads to large reservoirs of T = 106–108 K gas that fills and surrounds massive structures, directly tracing the formation and evolution of cosmic structure.

Observational probes of this gas are generally sensitive only to the electron component of the plasma. Typically, theoretical studies assume that the electrons are in thermal equilibrium with the surrounding ions. However, this is not a good approximation in the low-density outskirts of galaxy clusters due to the extended timescale for electrons to reach equilibrium via Coulomb collisions (Fox & Loeb 1997; Ettori & Fabian 1998). In the preshock intergalactic medium, the bulk of the kinetic energy is carried by the heavier ions. Since the electrons and ions are only weakly coupled, this leads to an electron temperature in the postshock plasma that is significantly lower than that of ions. The postshock electrons and ions gradually relax to a single equilibrium temperature.

The low emissivity of gas at densities of 10−4–10−5 cm−3 has heretofore limited X-ray spectroscopic temperature measurements to regions where electrons are expected to have reached equilibrium (Markevitch et al. 1998; Vikhlinin et al. 2005; Pratt et al. 2007). Advances in the sensitivity of X-ray instruments are pushing the limit of intracluster medium (ICM) temperature measurements to a significant fraction of the virial radius (e.g., George et al. 2009). Such measurements remain expensive with the current generation of instruments, however.

In recent years, the thermal Sunyaev–Zel'dovich effect (SZE) has been suggested as a possible probe of gas in this phase (e.g., Afshordi et al. 2007; Hallman et al. 2007, 2009), due to its weaker density dependence. Observations using the next generation of SZ experiments are ongoing, and are expected to provide accurate measurements of the electron pressure beyond the virial radius. Large samples of massive clusters with profile measurements beyond the virial radius should therefore become available in the near future.

In this work, we consider the impact of the two-temperature structure of the ICM on the thermal SZE. We employ high-resolution simulations of clusters which improve on previous studies (Takizawa 1999; Chieze et al. 1998; Courty & Alimi 2004; Yoshida et al. 2005; Yoshikawa & Sasaki 2006) by combining the efficient shock-capturing properties of Eulerian adaptive mesh refinement with high mass and spatial resolution such that both the large-scale accretion shocks and internal, merger-driven shocks are well captured. We show that the lower electron temperature in the cluster outskirts leads to a significant underestimate of the gas pressure when derived through the SZE. We also demonstrate that the two-temperature structure of the ICM is sensitive to recent accretion history through internal merger-driven shocks and discuss the relative importance of these shocks to the SZE.

2. TWO-TEMPERATURE COSMOLOGICAL CLUSTER SIMULATIONS

The simulations were performed using the ART code (Kravtsov et al. 1997, 2002), which was modified to model a two-temperature electron–ion plasma. Following Yoshida et al. (2005), we divide the plasma into two components, electrons and ions, which are assumed to be individually in local thermodynamic equilibrium (LTE) with separate Maxwellian velocity distributions defined by temperatures Te and Ti, respectively. The separation into only two species, electrons and ions, each in separate equilibrium is reasonable, since the self-equilibration timescales for each specie, tii and tee, are considerably shorter than the electron–ion equilibration timescale, tei (Fox & Loeb 1997; Spitzer 1962).4 When an electron–ion plasma passes through a shock, most of the kinetic energy goes into heating the heavier ions, causing TiTe. After the shock, electrons and ions slowly equilibrate via Coulomb interactions, each converging to the mean gas temperature, Tgas = (neTe + niTi)/(ne + ni), over a typical electron–ion equilibration timescale, tei. The evolution of the electron temperature is given by

Equation (1)

where the second term accounts for adiabatic compression heating and cooling. The timescale for equipartition between two charged species is given by Spitzer (1962)

Equation (2)

where m, T, and Z are the mass, temperature, and charge of each specie, respectively, n is the number density, and ln Λ ≈ 40 is the Coulomb logarithm. For the fully ionized ICM, including contributions from both protons and He++, the timescale for equilibration is

Equation (3)

Note that this timescale can be comparable to the Hubble time in regions with T ∼ 107 K and overdensities 10–100 with respect to the cosmic mean.

While our model assumes negligible electron heating within shocks, some nonadiabatic heating due to plasma instabilities is likely. However, theoretical expectations for the amount and source of electron heating in these shocks vary widely (see, e.g., Bykov et al. 2008, for a recent review), ranging from a constant fraction Te ∼ 0.2Ti of the preshock kinetic energy (Cargill & Papadopoulos 1988) to a constant postshock electron temperature and inverse-square scaling with shock velocity Te/Tiv−2s (Ghavamian et al. 2007). In either case, we expect the electron heating in the high Mach number accretion shocks to be small. There are some indications of more rapid electron equilibration in shocks with lower Mach number in the ICM (Markevitch 2006), however, the process is not yet well constrained by observations to date. We therefore neglect it in our model, noting that our results represent a maximum of the possible effect.

In this work, we re-simulate three galaxy clusters selected from the sample presented in Nagai et al. (2007a, N07 hereafter). The initial conditions and simulation parameters are identical to N07, except the simulations we present here neglect the physics of radiative cooling and star formation, which should have negligible impact in the cluster outskirts. The cluster properties at z = 0 are summarized in Table 1. These clusters are chosen to cover a range of mass and the dynamical histories. CL101 is a massive, dynamically active cluster, which experiences violent mergers at z ∼ 0.1 and z ∼ 0.25. CL104 is a similarly massive cluster, but with a more quiescent history. This cluster has not experienced a significant merger for the past 6 Gyr, making it one of the most relaxed systems in the N07 sample. The last cluster in our sample, CL6, is a fairly relaxed, low-mass cluster at z = 0, but experiences a nearly equal mass major merger at z = 0.6. Each cluster is simulated using a 1283 uniform grid with eight levels of refinement. CL101 and CL104 are selected from 120 h−1 Mpc computational boxes and CL6 is selected from a 80 h−1 Mpc box, achieving peak spatial resolution of ≈3.6 h−1 kpc and ≈2.4 h−1 kpc, respectively. The dark matter particle mass in the region surrounding the cluster is 9 × 108h−1M for CL101 and CL104 and 3 × 108h−1M for CL6, while the rest of the simulation volume is followed with lower mass and spatial resolution.

Table 1. List of Simulated Clusters

Namea r200 ( h−1 Mpc) M200 (1014h−1 Mpc) Tbm (keV) Dynamical Statec (Relaxed/Unrelaxed)
CL101 1.77 12.83 6.40 Unrelaxed
CL104 1.42 6.69 5.44 Relaxed
CL6 0.95 1.98 2.14 Relaxed

Notes. aCluster labels correspond to those used in Nagai et al. (2007a). bTm is the gas-mass-weighted temperature measured within r200. cClassification of dynamical state is described in Nagai et al. (2007b).

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3. RESULTS

Figure 1 illustrates the complex and highly aspherical distributions of gas temperature (left panel) and nonequilibrium electrons (right panel) in the outskirts of the simulated galaxy clusters at z = 0. These maps highlight a complicated network of nonequilibrium electrons associated with accreting and shocked material. The recent mergers in CL101 generate both internal and external shocks, and these shocks are responsible for the significant quantity of nonequilibrium electrons throughout the cluster. Nonequilibrium electrons are found mostly in the cluster outskirts for the relaxed systems (CL104 and CL6), and electrons and ions in the inner regions are mostly in equilibrium.

Figure 1.

Figure 1. Distribution of the mean gas temperature (Tgas) and the ratio of electron and mean gas temperatures (Te/Tgas) for three simulated clusters at z = 0. Left panel: the projected mass-weighted gas temperature in 1 h−1 Mpc slices centered on each cluster and 12 h−1 Mpc on a side. Right panel: the ratio of the electron temperature Te to the mean ICM temperature Tgas.

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The top panel of Figure 2 shows the spherically averaged radial profile of Te/Tgas as a function of the cluster-centric radius for the simulated clusters at z = 0. For the relaxed clusters, electrons and ions are in nearly perfect thermal equilibrium within r = 0.5r200. Beyond this radius, the electron temperature becomes increasingly smaller than the mean gas temperature, and the magnitude of the bias is inversely proportional to the ICM temperature: Te is biased low by 5% at r = r200 for CL104 and r = 2r200 for CL6. The bias reaches its maximum at the virial shock, rshock = [5–6]r200. Beyond the shock radius, electrons and ions in the unshocked gas are largely in equilibrium, with a slight departure from equilibrium due to the accretion shocks of large-scale filaments.

Figure 2.

Figure 2. Profiles of ICM electron temperature relative to the mean ICM gas temperature for each cluster at z = 0. Top panel: three-dimensional electron temperature profiles averaged in spherical shells and scaled to r200. Bottom panel: two-dimensional mass-weighted electron temperature profiles averaged in cylindrical annuli projected 60 h−1 Mpc through the simulation volume. This quantity is equivalent to the bias in the observed SZ flux in each annulus with respect to the flux one would observe if the electron temperature, Te, were equal to the mean gas temperature, Tgas.

Standard image High-resolution image

The magnitude of the nonequipartition between electrons and ions depends sensitively on the cluster dynamical state. The largest deviation from thermal equilibrium is seen in the most massive and least relaxed system (CL101). For this cluster, we find Te/Tgas ≈ 0.75–0.9 at relatively small radii r = [0.5–1]r200 and reaching a minimum Te/Tgas ≈ 0.35 at r = 3r200. The nonequilibrium electrons at small radius are primarily generated by internal shocks associated with the recent merger (see also Figure 1).

Production of nonequilibrium electrons by internal shocks within the virialized regions of clusters is illustrated in Figure 4, which shows the evolution of Te/Tgas for CL6 during the period immediately following a nearly equal mass merger around z = 0.6 (see also Figures 1 and 2 in Nagai & Kravtsov 2003). The final coalescence generates a strong internal shock which propagates out from the cluster center exciting a thin, trailing layer of nonequilibrium electrons. Although at fixed radius this is a transient phenomenon, lasting for only about 107–108 yr due to the short equilibration timescale within the high-density ICM, the shock propagation occurs on a dynamical timescale. This leads to nonequilibrium electrons in the cluster center for 0.5–1 Gyr during the merger. These internal shocks can therefore introduce a significant temperature bias on considerably smaller scales than the accretion shocks.

The suppression of the electron temperature also leads to a bias in the hydrostatic mass estimate, MHSE(<r) ∝ −dP/dr, as shown in Figure 3. We follow the procedure described in Lau et al. (2009) for computing the hydrostatic mass profiles. Briefly, we reduce spurious fluctuations in the numerical derivatives by removing gas in bound substructures and then smooth the resulting profile with a Savitzky–Golay filter. At small scales, r ≲ 0.7r200, the deviation from the hydrostatic mass estimated using Tgas is small for all three clusters, and remains ≲5% for the relaxed clusters out to 1.5r200. The bias in the hydrostatic mass is quite large for clusters undergoing recent major mergers (e.g., CL101), where the hydrostatic mass is underestimated by 20%–30% in the radial range [1–2]r200. Note that this effect is in addition to the bias introduced by the nonthermal pressure due to random gas motions (Lau et al. 2009).

Figure 3.

Figure 3. Bias in the hydrostatic mass estimate of galaxy clusters due to the nonequipartition of electrons and ions. The bias is defined as the difference in the hydrostatic masses computed using the electron temperature and the mean gas temperature.

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These biases in temperature due to nonequilibrium electrons have important implications for the interpretation of SZE observations. This is illustrated in the bottom panel of Figure 2, which shows that the presence of nonequilibrium electrons leads to significant suppression of the SZE signal at large cluster-centric radius. We define the bias to be the ratio of the Compton-y parameters, defined as ySZ(T) ≡ ∫neTdl, computed alternately using Te and Tgas. Again the bias is largest for the unrelaxed system, and is as large as 20% in the radial range [0.7–2]r200. The bias is more moderate (5%–10%) for the other two relaxed systems in a similar radial range.

The integrated Compton-y parameter, YSZ (or SZ flux), is also affected by the nonequilibrium electrons. But, the biases are much smaller since the effect is averaged over the entire cluster and is dominated by the central regions where electrons are in equilibrium. Examining the evolution of the bias in YSZ within the spherical region of r500 for all three simulated clusters, we find the bias is no larger than 6%, which occurs during periods of major mergers (e.g., CL101 since the last major merger at z ∼ 0.1 or CL6 at z ∼ 0.6 as shown in Figure 4). The bias reaches 9% during the same period when measured within the larger radius, r200. This process may also affect the scatter in the mass–observable relations. At various times during the last CL101 merger, however, the cluster lies both above and below the mean Y – M relation, while the bias due to nonequilibrium electrons always acts to suppress the SZ signal. Large samples of simulated clusters are therefore needed to adequately address this effect. For comparison, we computed the bias in X-ray spectroscopic temperature using the spectroscopic-like formula of Mazzotta et al. (2004). The resulting bias is negligible, even during mergers, since it is strongly weighted to gas at higher densities and correspondingly shorter tei.

Figure 4.

Figure 4. Evolution of Te/Tgas surrounding CL6 from z = 0.53 to z = 0.38. This cluster experiences a major merger at z ∼ 0.6, which is nearly in the plane of the figure. This merger causes symmetric merger shocks which propagate outward from the center, eventually reaching and merging with the cluster virial shock at z ∼ 0.3.

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4. CONCLUSIONS

We use simulations of cosmological cluster formation to explore the two-temperature structure of the ICM and its effects on the SZE. We show that electron temperatures are lower than the ion (or mean gas) temperature in the low-density outskirts of galaxy clusters, where Coulomb collisions are insufficient to keep electrons and ions in thermal equilibrium. This leads to a decrease in the SZE relative to predictions which assume electron–ion equilibrium. The suppression of electron pressure in turn leads to an underestimate of the hydrostatic mass.

Our simulations also show that the magnitude of the nonequipartition between electrons and ions depends sensitively on the cluster dynamical state. The electron temperature (or pressure) is smaller than the mean gas temperature by about 5% at r = r200 for relaxed clusters, but the bias could be as large as 30% for unrelaxed systems, in which populations of nonequilibrium electrons are created within the virial regions of cluster by internal, merger-driven shocks. Although these are short lived in the high-density ICM, these nonequilibrium electrons can affect global properties, such as the integrated Compton-y or the mass-weighted temperature, by about 5%. X-ray spectroscopic temperature, on the other hand, is not significantly affected even during the merger periods, since it is strongly weighted to gas at higher densities and correspondingly shorter tei. These biases are the sources of systematic uncertainties that will need to be taken into account for the interpretation of upcoming large-scale SZE experiments, including ACT,5 Planck,6 and SPT.7

We lastly note that the details of electron equilibration will affect the ability to detect virial shocks using the SZ (Kocsis et al. 2005; Molnar et al. 2009) by smoothing the electron temperature profile in the region of the shock. Successful detections of accretion shocks by ALMA8 can be used to place strong constraints on the otherwise uncertain physics operating at these shocks. We will explore this possibility in an upcoming paper.

We thank Kevin Heng for helpful discussions during early stages of this work, Erwin Lau for providing his code to measure the hydrostatic mass, and Fang Peng for useful comments on the manuscript. D.H.R. gratefully acknowledges the support of the Institute for Advanced Study. The simulations were performed at the Joint Fermilab-KICP Supercomputing Cluster, supported by grants from Fermilab, Kavli Institute for Cosmological Physics, and the University of Chicago.

Footnotes

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10.1088/0004-637X/701/1/L16