Draftversion February2,2008 PreprinttypesetusingLATEXstyleemulateapjv.4/12/04 THE EFFECTS OF RADIATIVE COOLING ON THE ENTROPY DISTRIBUTION OF INTRACLUSTER GAS Ian G. McCarthy, Mark A. Fardal, and Arif Babul DepartmentofPhysics&Astronomy,UniversityofVictoria,Victoria,BC,V8P1A1,Canada; [email protected],[email protected],[email protected] Draft versionFebruary 2, 2008 ABSTRACT High resolution X-ray observations indicate that the entropy profiles in the central regions of some massive cooling flow clusters are well approximatedby powerlaws. McCarthy and coworkersrecently accountedfor this trendwith ananalytic modelthat includes the detailedeffects ofradiativecooling. Interestingly,theseauthorsfoundthatcooling(andsubsequentinflowofthegas)naturallyestablishes 5 approximate steady-state powerlaw entropy profiles in the cores of clusters. However, the origin of 0 0 this behavior and its dependence on initial conditions have yet to be elucidated. In the present 2 study,weexplainthistrendinthecontextoftheself-similarcoolingwavemodeldevelopedpreviously by Bertschinger (1989). It is shown that the logarithmic slope of the entropy profile in the cores n of relaxed cooling flow clusters is given by a simple analytic function that depends only on the a logarithmic slopes of the local gravitationalpotential and the cooling function. We discuss a number J of potentially interesting uses of the above result, including: (1) a way of measuring the shapes of 8 gravitational potentials of cooling flow clusters (which may, for example, be compared against the standard hydrostatic equilibrium method); (2) a simple method for constructing realistic analytic 1 cluster models that include the effects of radiative cooling; and (3) a test of the reliability of cooling v 7 routines implemented in analytic models and hydrodynamic simulations. 3 Subject headings: cosmology: theory — galaxies: clusters: general — X-rays: galaxies: clusters 1 1 0 1. INTRODUCTION establishes approximate powerlaw entropy profiles near 5 the cluster core2. It would be interesting to understand The presence of strong positive temperature gradients 0 from a physicalperspective what is driving this trend in (e.g., Allen et al. 2001; De Grandi & Molendi 2002; Pif- / the observed and model clusters. h faretti et al. 2004; Vikhlinin et al. 2004) and the lack Unfortunately, a rigorous calculation of the effects of p of an obvious entropy floor (e.g., Pratt & Arnaud 2002; radiativecooling andthe subsequent (quasi-hydrostatic) - Mushotzkyetal. 2003;Piffarettietal.2004)inthecores o inflow of intracluster gas can only formally be obtained of some clusters have stimulated interest in theoretical r by numerically solving the time-dependent hydrody- t models of the intracluster medium (ICM) that include s namic equations (as approximately done, e.g., in M04). the effects of radiative cooling. Such models have been a This makes it a challenge to understand physically why : showntobeinbroadagreementwiththecurrentsuiteof v theabovetrendsareestablishedbycooling. Despite this X-ray observations of clusters, particularly if some form i inconvenience, there are, however, analytic tools at our X of feedback/heating is also incorporated into the mod- disposal that can help to establish a physical picture. els (e.g., Tozzi & Norman 2001; Voit et al. 2002; Oh & r For example, Bertschinger (1989) (hereafter, B89) used a Benson 2003;Borganiet al. 2004;McCarthy et al. 2004, aself-similarityanalysistoderivethebehaviorofcooling hereafter M04). flows in clusters. One of the interesting results derived Interestingly, by assembling published Chandra and by Bertschinger is that the logarithmic slopes of the gas XMM-Newton X-ray data from the literature, M04 un- density and temperature profiles in the limit r ≪ r covered a population of relaxed clusters (e.g., A2029, cool (where r is the radius at which the cooling time of PKS0745,HydraA)withcentralentropyprofiles(where cool the gasequalsthe ageofthe cluster)depend onlyonthe we define the “entropy”, S, as kTn−2/3) that are well e shapes of the cluster gravitational potential and of the approximated by powerlaws (see also the recent study cooling function, Λ(T). The behavior of the gas density of Piffaretti et al. 2004). M04 were able to account and temperature profiles can be used to infer how ra- for these clusters (as well as other clusters that exhibit diative cooling influences the distribution of intracluster large entropy cores) with a simple analytic model that entropy, which is perhaps a more fundamental quantity includes the detailed effects of cooling and that assumes since convection will strive to prevent the establishment the ICM was initially heated prior to cooling. In par- ofarisingentropyprofiletowardstheclustercenter(see, ticular, M04 found that if the ICM in a given cluster is e.g., Voit et al. 2002). Thus, the study of B89 is a good initiallyheated1byonlyamildamount,coolingnaturally starting point for our investigationof the effects of cool- ing and inflow on intracluster entropy. 1 Wenotethatsuch“preheating”doesnotprecludesubsequent In the present study, we briefly review the self-similar heating events followingcluster formation, suchas AGNfeedback initiatedbytheaccretionofcoldgasattheclustercenter. analysisofB89,includingthebasicassumptionsmadein 2 However, the mild amount of heating is sufficient to delay that study and their validity, and use his results to de- the onset of catastrophic cooling for up to several Gyr and, as a rive how radiative cooling modifies the entropy profiles result, the predicted global cold gas fractions remain consistent of clusters. We compare the self-similar solution to the withobservationallyestablishedlimits. 2 McCarthy et al. resultsofthe 1-DcoolingmodelofM04forclusters with Other assumptions made in the analysis of B89 in- powerlawdark matter profiles and that cool via thermal clude spherical symmetry, subsonic inflow, and single- bremsstrahlung and, indeed, find extremely good agree- phase cooling. Spherical symmetry is expected to be mentinthelimitr ≪r . Wefurtherdemonstratethat approximately valid, at least in an average sense for a cool the self-similar solution should provide an accurate de- reasonably large relaxed cluster sample. Likewise, sub- scription for cooling (via both bremsstrahlung and line sonic flow should hold for the majority of the gas within emission) in more realistic dark matter halos. Finally, r , except possibly near the very center where the gas cool we discuss anumber of interestinguses ofthis result,in- maybecome transsonic. However,it hasyetto be deter- cludingmeasuringtheshapesofclustergravitationalpo- minedwhetherornotmulti-phasecoolingisimportantin tentials (that, e.g., could be compared against the usual clusters. In the absence of significant non-gravitational hydrostatic equilibrium method), testing the reliability heating,theintraclustergasisthermallyunstable. How- of numericalcooling routines in analytic models and hy- ever, because the gas flows into the cluster center essen- drosimulations,andasasimple wayofsettingupinitial tiallyasfastasitcools,weexpectmulti-phasecoolingto conditions for cluster models with radiative cooling. beimportantonlyneartheverycenter(seeB89). Recent 2. COOLINGFLOWSANDSELF-SIMILARITY:THE spatially-resolvedChandra and XMM-Newton spectra of the central regions cooling flow clusters have confirmed BERTSCHINGERSOLUTION that, probably with the exceptionof the very centralra- Asnotedabove,ingeneral,thetime-dependenthydro- dial bin, single-phase models provide at least as good a dynamicequationsmustbesolvednumericallyinorderto fit as multi-phase models (e.g., David et al. 2001; Mat- obtainadetailedpictureoftheeffectsofradiativecooling sushita et al. 2002). For the present study, we assume on cluster gas. However, when the time dependence is single-phase cooling. duetoasinglephysicalprocessthatcanbecharacterized Finally, it is implicitly assumed that there are no sig- byauniquescalelength[inthiscase,thecoolingradius3, nificant sources of non-gravitational heating (such as r (t)], similarity solutions can provide useful physical cool AGN feedback, thermal conduction, and turbulent mix- insight. Adoptingthisapproach,B89derivedthegeneral ing)presentinthe ICM.In§4,we givea briefdiscussion behavior of cooling flows in clusters of varying gravita- of the potential impact of such heating. tional potentials (and with varying cooling functions as Implementing the above assumptions, B89 renormal- well). We are especially interested in the properties of ized the hydrodynamic equations by removing any time his solution in the limit r ≪ r , since they are inde- cool dependence arising through r (t). A self-similar so- pendentofthe initialconditionsofthe gas. (Outside the cool lution is obtained if one neglects the acceleration terms coolingradiusthe initialconditionsare ofcrucialimpor- (which is valid since the inflow of gas is highly subsonic) tance since radiative cooling hasn’t had enough time to in the renormalized hydro equations. It is straightfor- significantlymodifythegasthere.) Beforeexaminingthe ward to derive the limiting behavior of the gas density solution itself, let us first review the basic assumptions and temperature profiles in the limit r ≪ r under made in B89 and their validity. cool these conditions (see eqns. 2.30 of B89): Sinceself-similarsolutionscanbecharacterizedbyonly a single scale length, some simplifying assumptions are dlogρ −3+(2−α)(1−β) dlogT required in order to obtain a solution for the properties = , =2−α (1) of cooling flows. In particular, Bertschinger assumed dlogr 2 dlogr that the gravitational potential and the cooling func- where we have assumed that dark matter dominates the tion could be characterized by simple powerlaws that gravitationalpotential and that ρdm ∝r−α and Λ(T)∝ remained fixed as a function of time. Of course, in real- Tβ. Note that the definitions of α and β differ from the ity, neither of these assumptions are strictly valid. High definitions of these symbols in B89. resolution numerical simulations indicate that the dark In§1,wedefinedthe“entropy”,S,intermsofgasden- matter density profiles of clusters (and halos of other sity and temperature. The above equations can, there- massesaswell)haveacharacteristicscalelength(theso- fore,beusedtoyieldthelogarithmicslopeoftheentropy called scale radius, r ), where the index of the powerlaw profile within r : s cool profile changes from relatively shallow (between ∼ −1 and −1.5; e.g., Navarro, Frenk, & White (NFW) 1997; dlogS 1 γ ≡ = 1− (1−β) (2−α)+1 (2) Moore et al. 1999) to relatively steep (∼−3). The cool- dlogr (cid:20) 3 (cid:21) ing function is not scale-free either, owing primarily to Thus, for β =1/2 (i.e., cooling dominated by thermal line emission. Thus, one is justified in questioning the bremsstrahlung), physicalrelevanceofamodelthatinvokestheseassump- tions. (However,physicalrelevancemay notbe ofmajor 5 concernifoneissimplytestingthereliabilityofnumerical γ = (2−α)+1 (3) 6 cooling methods.) We examine in §3.2 whether relaxing which yields γ =1 for a singular isothermalsphere (α= these assumptions significantly affects the shapes of the 2), γ ≈ 1.4 for a Moore et al. profile in the limit r ≪ resultingentropyprofilesinthecoresofmassiveclusters. r (α = 1.5), and γ ≈ 1.8 for a NFW profile in the s 3 The cooling radius grows larger with time. Unfortunately, limit r ≪ rs (α = 1). Note, however, that the value of the self-similarsolution inB89 isexpressedinterms ofthe initial γ in equation (2) depends only weakly on the shape of cooling radius. Thus, it might be expected that comparison to the cooling function (that is, for reasonable values of β observations,whichareusedtoinferthe presentcoolingradius,is ranging from −1/2 to 1/2) for α&1. somewhat ambiguous. However, as highlighted by B89, this leads Below,wecomparethissimpleanalyticresultwiththe to only a small error since, over the course of a cluster’s life, the coolingradiusgrowsonlybyasmallamount. 1-D cooling model of M04. Radiative Cooling and Intracluster Entropy 3 3. COMPARISONWITHM04 3.1. Powerlaw clusters M04 developed a simple radiative cooling code which, 1000 when applied to the entropy injection model clusters of Babul et al. (2002), successfully and simultaneously reproduces the luminosity-temperature and luminosity- 100 mass relations (including their associated intrinsic scat- ter)andyieldsdetailedfitstotheentropy,surfacebright- 10 ness,andtemperatureprofilesofclustersasinferredfrom recent high resolutionX-ray observations. As alluded to in §1, these authors found that radiative cooling estab- lished a powerlaw entropy profile in cores of their model clusters that experienced only mild preheating (that is, 1000 for those clusters that were initially injected with .300 keV cm2, i.e., the entropy cooling threshold for massive 100 clusters). Itisinterestingtoseewhetherornotthistrend can be explained by the self-similar solution of B89. 10 In order to test this, we use the model of M04 (see §2.2 of M04 for a detailed discussion of the model) to 1 track the effects of cooling for a set of clusters with ar- 0.01 0.1 1 0.1 1 bitrary initial conditions (recallthat the solution of B89 within the cooling radius does not depend on initial gas conditions). For specificity, however,we show results for Fig. 1.— Theeffectsofcoolingandinflowontheentropydistri- butionofclusters. Solidlinesrepresenttheinitialentropyprofiles. clustersthathaveatotaldarkmattermassof1015M⊙,a Thedotted, short dashed, and longdashed lines represent the re- totalgasmassof≈1.5×1014M⊙,andamaximumradius, sultingsteady-state entropyprofileswhentheclustersareevolved r ,of2.06Mpc. Theclustergasisinitiallyassumedto in dark matter halos that have density profiles characterized by halo powerlaw indices of α = 2.0, 1.5, and 1.0, respectively. The var- be in hydrostatic equilibrium within a dark matter halo ious panels show the resultingprofiles for different initial entropy thatischaracterizedby adensityprofileρdm ∝r−α (the distributions. Figure 2 presents a comparison of the central loga- normalization being set by the mass and radius given rithmicentropyslopestotheBertschingersolution. above). The cluster gas is then allowed to evolve via ra- diative cooling and inflow until a stable entropy profile is achieved. To calculate the cooling rate, we assume 2 a cooling function that scales as Λ(T) ∝ T1/2 with a normalization that is set by matching a zero metallicity Raymond-Smith plasma at a temperature of T ≈108 K. Finally, as in M04, we remove any gas that is able to 1.75 cool below a threshold temperature of 105 K from the calculationand assume that its dynamical effects on the cluster gravitational potential are negligible. Clearly, if 1.5 a significant amount of gas is able to completely cool this assumption will be violated. However, in this case, we expect these effects will be relevant only for the cen- tral tens of kpc and will have only a minor effect on the 1.25 overallentropy distribution within the cooling radius. To show how the effects of cooling are linked to the underlying gravitational potential, we present Figure 1. Focusing first on the top left-hand panel, we start with 1 acluster thatis initially characterizedby entropyprofile that contains a core and a logarithmic slope of γ = 1.1 outside the core. This is the initial slope adopted by Babul et al. (2002) and M04 and is what one expects 1 1.25 1.5 1.75 2 if the gas is in hydrostatic equilibrium and if its den- sity profile traces that of the dark matter (e.g., Voit et Fig. 2.— Comparison of the self-similar solution of B89 with al. 2002; Williams et al. 2004), an expectation that is theresultsofM04’scoolingmodel. Theshadedregionreflectsthe supported by high resolution hydrodynamic simulations uncertaintyinthebestfitpowerlawindicesoftheentropyprofiles (e.g., Lewis et al. 2000;Voit et al. 2003;Ascasibar et al. (withinrcool)showninFig. 1. 2003;Voit2004). Ascanbeclearlyseen,theslopeofthe dark matter profile, α, is important in determining the resulting slope of the entropy profile, γ, within 0.1rhalo The remaining panels of Figure 1, which show the re- (which corresponds roughly to rcool for these clusters). sults for clusters that initially have steeper entropy pro- In particular,as the dark matter profile steepens the re- files outside the entropy core, illustrate that the initial sulting entropy profile becomes more shallow, agreeing gasconditionsoftheclustershavealmostnoeffectonthe qualitatively and quantitatively with equation (3). resulting steady-state entropy profile within r . Like- cool 4 McCarthy et al. 1 0.1 0.01 0.01 0.1 1 0.01 0.1 1 Fig. 3.— Theeffectsoflineemissionandrealisticdarkmatterprofilesonthesteady-stateentropyprofile. Left: AclusterwithaMoore et al. dark matter halo. Right: A cluster with a NFW dark matter halo. In both panels the dotted line represents the initial entropy distribution, the thick solid lines represent the final entropy distribution assuming cooling with a pure thermal bremsstrahlung cooling function, andthe thick dashed linesrepresent the final entropy distributionassumingcooling withaRaymond-Smith plasmamodel with Z=0.3Z⊙. ThethindashedlinesindicatetheslopepredictedbyB89’sself-similarmodelassumingβ=1/2andα=1.5(leftpanel)and α=1.0(rightpanel). Theyhavebeenarbitrarilynormalizedtocrossthethicklinesatthecoolingradius. wise,whathappensintheinterioroftheclusterdoesnot tent to which the shape of the resulting entropy profile significantly influence gas outside of r , as expected. is affected by these assumptions. cool We have fitted the entropy profiles within r with Since we are introducing additional scales into the cool powerlaws. However, we find that the entropy profiles problem, it is important that we constructrealistic clus- within r are not exact powerlaws and there is some ter models. We consider two different systems: one with cool “wiggle” room in the best fit logarithmic slope, depend- a NFW dark matter profile and one with a Moore et ingontherangeofradiioverwhichtheprofilesarefitted. al. dark matter profile. Both systems have been cho- Forexample,thebestfitlogarithmicslopeovertherange sen to have the same total gas and dark matter masses; 0≤r ≤rcool/2 differs slightly from the best fit over the specifically,Mgas(r200)≈1.5×1014M⊙andMdm(r200)= range rcool/2≤r ≤rcool. We use these two radial inter- 1015M⊙,wherer200 ≈2.06Mpc. Weuseatypicalcluster vals to roughly quantify the scatter in the best fit slope. dark matter concentration of c ≡ r /r ≈ 3.4 for NFW 200 s Figure2presentsacomparisonbetweentheanalyticself- the NFW halo(e.g., Ekeetal.1998;Bullocket al.2001) similarsolutionofB89andthefitstotheentropyprofiles and c ≡ r /r = c /0.630 ≈ 5.4 for the Moore 200 (−2) NFW shown in Fig. 1. The shaded region roughly reflects the Moore et al. halo (see Keeton 2001). The above implies uncertainty in the best fit powerlaw indices for the pro- a scale radius, r , of ≈ 600 kpc. As for the intracluster s files predicted by M04’s cooling model. gas,we turn to the studies of Voit et al. (2003)and Voit Reassuringly, excellent agreement between the self- (2004). These authors found that the entropy profiles of similar solution and the 1-D cooling code is obtained. alargesampleofclustersgeneratedwithanumericalsim- Thus, the self-similar cooling wave model of B89 pro- ulation of a ΛCDM cosmology including hydrodynamics vides a physical basis for the powerlaw trends found by (e.g., shock heating) but not radiative cooling are ap- M04. In addition, the agreement in Figure 2 gives us proximatelyself-similarovera wide range ofmasses (see confidence in the reliability of the 1-Dcooling modelde- Fig. 11ofVoit2004). Theinitialentropydistributionsof veloped in M04. our model clusters are assumed to be identical to Voit’s bestfittohissimulatedclusters4. Theinitialgasdensity 3.2. Realistic clusters and temperature distributions are determined through the equation of hydrostatic equilibrium by applying the Observed clusters and clusters formed in cosmological boundary condition that the total amount of gas within numerical simulations do not have pure powerlaw gravi- r is equal to that specified above. tationalpotentials. Furthermore,theICMcontainsasig- 200 nificant quantity of metals and, consequently, cools not 4Atlargeradii,i.e.,forr>0.1r200,Voit(2004)reportsabestfit only through thermal bremsstrahlung but also through entropyprofileofS(r)∝r1.1. Atsmallradii,however,thereisan line emission. Line emission has the effect of distorting apparent entropy core whose origin remains uncertain. We have the cooling function away from the powerlaw form that shrunk this core for computational convenience, since the model clusters reach steady state more quickly if they have small ini- is characteristic of bremsstrahlung. For these two rea- tial entropy cores. However, this modification does not affect our sons, the physical relevance of the results presented in results or conclusions since the entropy core is contained entirely §3.1 may be questioned. Below, we investigate the ex- Radiative Cooling and Intracluster Entropy 5 10 8 6 4 2 0 0.01 0.1 1 0.01 0.1 1 Fig. 4.— Thefinal(steady-state) temperaturedistributionsofthegasintheMooreetal. andNFWhalos. To compute the effects of cooling, we again make use Mooreetal.haloisroughly3timeslargerthanthatofthe of the model developed by M04. In order to gauge the NFWhalo. InFigure5,weshowthecoolingfunctionfor effects of line emission, we explore two different cooling a Raymond-Smith plasma with Z =0.3Z⊙. For temper- functions: thepurethermalbremsstrahlungfunctionim- atures of kT &2 keV, the cooling function is dominated plemented in §3.1 and a Raymond-Smith plasma with a by thermal bremsstrahlung and is well approximatedby metallicity set to 0.3Z⊙. As in the case of the powerlaw a powerlaw; Λ(T) ∝ T1/2. This then explains why the models, we neglect the dynamical effects of mass drop entropy profile of the Moore et al. halo is unaffected by out and we run the cooling model until steady-state en- line emission: at any particular time there is virtually tropyprofilesareachieved. Atsteadystate,wefindthat no gas below 2 keV (except at the exact center where bothclusters havesimilarglobalemission-weightedtem- gas rapidly cools below the X-ray emitting threshold of peratures with kTew ≈5 keV. ≈ 105 K). The shallower NFW potential, however, per- In Figure 3, we plot the initial and final entropy pro- mits some gas to cool below 2 keV before reaching the files of our model clusters. In both panels, the dotted centerofthecluster. ThethindottedlineinFig. 5shows linesrepresenttheinitialentropydistributions,thethick thebestfitpowerlawtothecoolingfunctionbetween0.1 solid lines represent the final distributions when cooled keV ≤ kT ≤ 2 keV, which has an index of β ≈ −0.35. using a pure bremsstrahlung cooling function, and the Using this value for β in equation (2), we are able to thick dashed lines represent the final distributions when account for the slight (∼10%) deviation in the shape of cooled using the 0.3Z⊙ Raymond-Smith plasma cooling theentropyprofilewithinthecentral0.01r200 (≈20kpc) function. The thin dashed lines indicate the slope pre- of the NFW halo. dictedbyB89’sself-similarmodelassumingβ =1/2and The shape ofthe final entropyprofile is more sensitive α = 1.5 (left panel) and α = 1.0 (right panel). They to the shape of the gravitational potential than it is to have been arbitrarily normalized to cross the thick lines theshapeofthecoolingfunction. Thus,wemightexpect at the cooling radius. self-similar solution to be a poor description of the final First, consider the role of the cooling function. For shape of entropy profiles in realistic dark matter halos. the Moore et al. halo, there is virtually no dependence However,thelefthandpanelofFig. 3demonstratesthat on which cooling function we use. The resulting entropy theshapeoffinalentropyprofileofthe Mooreetal.halo distribution for the NFW halo, however,is slightly shal- (thick lines) is virtually identical to that of a halo with lower if we include line emission. This difference can a pure powerlaw profile of α = 1.5 (thin dashed line). be understood as follows. The gravitational potential of Likewise, with the exception of the small deviation at the Moore et al. halo is steeper than that of the NFW the center due to line emission, the shape of the entropy halo. Consequently, gas flowing into the center of the profile in the NFW halo is essentially identical to that Moore et al. halo requires more thermal support to re- of a halo with a pure powerlaw profile of α = 1.0 (see maininhydrostaticequilibrium. InFigure4,weplotthe right hand panel of Fig. 3). Recall that in the limit of final (steady-state) temperature distributions of the two r ≪ r , the logarithmic slopes of the Moore et al. and s modelclusters. Note thatthe centraltemperatureofthe NFW halos asymptote to α = 1.5 and 1.0, respectively. Fig. 3 illustrates that what is relevant is the shape of withinthecoolingradius. Asdiscussedabove,theresultingsteady- the local gravitational potential (i.e., at r . r ), not stateentropyprofilewithinrcooldependsonlyontheshapesofthe cool the shape of the overall potential. Thus, the self-similar gravitational potential and the cooling function (and not on the initialpropertiesofthegaswithinrcool). 6 McCarthy et al. lution is also valid for more realistic dark matter poten- tials and cooling functions that include line emission, at least for massive clusters where bremsstrahlung domi- nates line emission and the typical dark matter scale ra- dius is much larger than the cooling radius. This result explains the numerically-derived trends found in M04, whichprovideagoodfittoanumberofobservedcooling 10 flow clusters. Kaiser & Binney (2003)have also recently reported that cooling establishes a powerlaw trend be- tween ICM gas mass and entropy. This trend is also likely to be explained by the self-similar solution. The self-similar model of B89 implicitly assumes that therearenosignificantsourcesofnon-gravitationalheat- ingpresentintheICM.Heatingintroducesanadditional scale into the problem and, potentially, violates self- similarity. Itisclear,however,thatsomeformofheating has (or is) occurred in real clusters in order to prevent theso-calledcoolingcrisis(seeBaloghetal.2001). Addi- tional evidence for heating comes from recent high reso- lutionChandraimagesofmanycoolingflowclustersthat 1 0.01 0.1 1 10 revealbuoyantly-risingbubblesofhotplasma(e.g.,Heinz etal.2002;Blantonetal.2003). Thesebubbleswerepre- sumably blown by a central AGN and must be heating Fig. 5.— The cooling function for a Raymond-Smith plasma withZ=0.3Z⊙. Thedotted linerepresents thebestfitpowerlaw the ICM at some level. Other sources of heating, such (withβ≈−0.35)tothefunctionovertherange0.1keV≤kT ≤2.0 asthermalconduction(e.g.,Medvedev&Narayan2001) keV. andstirringduetotheorbitalmotionsofclustergalaxies (e.g.,El-Zantet al.2004),arealsoa possibility. The rel- evant questions therefore are: (i) Is the level of heating solutionprovidesanexcellentdescriptionofsteady-state sufficiently high to severely violate self-similarity? (ii) coolingentropyprofilesinrealisticclustersso longas the If so, is the heating distributed or restricted to only the cooling radius is smaller than the cluster’s scale radius. very center of the cluster? (iii) In the event the heat- Thisconditionshouldbemetformosthighmassclusters ing is episodic (such asAGN heating), when didthe last asthetypicalcoolingradiusofclustersisoforder∼100− heating episode occur (i.e., has enough time passed in 200 kpc (e.g., Peres et al. 1998), while the typical dark order to approximately re-establish a self-similar cool- matterscaleradiusofmassiveclusters inhighresolution ing flow)? A number of relaxed clusters with published cosmologicalsimulationsisoforder∼400−700kpc(e.g., entropy profiles show evidence for large entropy cores Eke et al. 1998;Bullock et al. 2001). (M04). Clearly, such systems cannot be explained by We conclude that the self-similar solution of B89 the present self-similar cooling model, as these clusters should provide a good description of the shapes of en- were severely heated and the heating was distributed tropy profiles (for r . r ) of massive clusters that to large radii. However, M04 (see also Piffaretti et al. cool cool via thermal bremsstrahlung and line emission and 2004) also found that several massive cooling flow clus- that have realistic dark matter profiles. The reason for ters (e.g., A2029, PKS0745, Hydra A) have nearly pure this isthatself-similarityis onlymildly violatedforhigh powerlaw entropy profiles (except perhaps at very small mass clusters. The deep gravitational potential wells radii, r . 30 kpc). This likely indicates that the self- of massive clusters ensure that most of the intracluster similarmodelprovidesareasonablyaccuratedescription mediumisquite hot(kT &2 keV),evenwithinthe cool- of the cooling gas in this particular subset of observed ing radius, and thus thermal bremsstrahlung (which is clusters. scale-free) dominates the X-ray emissivity. The poten- A test of the above hypothesis is to infer the slopes tial wells themselves have a characteristic scale radius of the gravitational potentials of these clusters by us- but, for massive clusters, this radius is typically much ing the slopes of their observedentropy profiles together larger than the cooling radius. Therefore, the central with equation (3). This may then be comparedwith the cooling flow essentially “feels” only a pure powerlawpo- results obtained using the standard hydrostatic equilib- tential (as assumed by B89). rium method for inferring the gravitational potential of clusters. Making use of the clusters with powerlaw en- 4. DISCUSSION tropy profiles from M04 (A2029, PKS0745, Hydra A), Using the self-similar solution of B89, we have shown we find that the logarithmic slopes of their total matter that radiative cooling and inflow lead to a characteristic density (dark matter and baryons)profiles are relatively entropy profile within the cooling radius that depends steep, with 1.3.α.2. This agrees quite well with the only on the shapes of the cooling function and the grav- recenthydrostaticanalysisofChandradataof10relaxed itational potential. We have compared the self-similar coolingflowclustersbyArabadjis&Bautz(2004). Thus, solution to the cooling model of M04 and, reassuringly, for this small sample of clusters, the self-similar model find excellent agreement for clusters with powerlaw po- appears to provide an apt description of the cooling gas tentials and that cool via thermal bremsstrahlung. Fur- in the centers of these clusters. A more detailed com- thermore,wehavedemonstratedthatthe self-similarso- parisonwill soonbe possible as the number ofpublished Radiative Cooling and Intracluster Entropy 7 cluster entropy profiles is rapidly increasing. expectedforaclusterthatiscoolingradiatively)andthis Quite independent of how well it describes observed may have some effect on the estimates of the energetic clusters,theself-similarmodelalsohasanumberofinter- requirements for the prevention of catastrophic cooling. esting theoretical uses. We briefly discuss but two here. It would be interesting to see whether the estimates of 1.) A simple method for calculating initial conditions theamountofrequiredheatingchangesignificantlywhen of analytic model clusters with radiative cooling. This more realistic initial conditions (such as those proposed could serve as a “poor man’s alternative” to a model above) are implemented. that explicitly takes into account the effects of radiative 2.) A test of the reliability of cooling routines im- coolingandinflowonintraclustergas. Forexample,are- plementedinanalyticmodelsandhydrodynamicsimula- alisticsetofinitialconditionscouldbegeneratedbyusing tions. Because the self-similar solution is a simple func- theresultsofnon-radiativesimulations(e.g.,Lewisetal. tion, it can easily be used to test, for example, how well 2000; Loken et al. 2002; Voit 2004) to describe the gas various formulations of smoothed particle hydrodynam- at large radii (r > r ) while using the self-similar so- ics (SPH) or mesh-based techniques [such as adaptive cool lutionofB89todescribethepropertiesofthe gaswithin meshrefinement(AMR)]treattheeffectsofcooling(see, r . The normalization of the entropy profile within e.g., Abadi, Bower, & Navarro 2001). We are currently cool r (which is not specified by the self-similar solution) undertaking such a study using a variety of popular an- cool could be set by matching the non-radiative simulation alytic and hydrodynamic codes (Dalla Vecchia et al. in results near r . One example of where such initial preparation). cool conditionsmightbe usefulis for models thatexplorethe I.G.M.issupportedbyapostgraduatescholarshipfrom ability of various heating mechanisms to offset radiative the Natural Sciences and Engineering Research Coun- lossesoftheICM.Forexample,anumberofrecentAGN cil of Canada (NSERC) and A. B. is supported by an heating simulations (e.g., Quilis, Bower, & Balogh 2001; NSERC Discovery Grant. A. 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