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MASS AND ENTROPY PROFILES OF X-RAY BRIGHT RELAXED GROUPS. FABIO GASTALDELLO UC IRVINE & BOLOGNA D. BUOTE P. HUMPHREY L. ZAPPACOSTA J. BULLOCK W. MATHEWS UCSC F. BRIGHENTI BOLOGNA. MASS RESULTS AND c-M PLOT FOR X-RAY GROUPS ENTROPY PROFILES - PowerPoint PPT Presentation
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MASS AND ENTROPY PROFILES MASS AND ENTROPY PROFILES OF X-RAY BRIGHT RELAXED OF X-RAY BRIGHT RELAXED
GROUPS GROUPS
FABIO GASTALDELLO
UC IRVINE & BOLOGNAD. BUOTE
P. HUMPHREY
L. ZAPPACOSTA
J. BULLOCK
W. MATHEWS UCSC
F. BRIGHENTI BOLOGNA
OUTLINEOUTLINE
1. MASS RESULTS AND c-M PLOT FOR X-RAY GROUPS
2. ENTROPY PROFILES
3. AGN FEEDBACK: FOCUS ON SOME PARTICULAR OBJECTS
DM DENSITY PROFILEDM DENSITY PROFILE
Navarro et al. 2004
The concentration parameter c do not depend strongly on the innermost data points, r < 0.05 rvir (Bullock et al. 2001, B01; Dolag et al. 2004, D04).
c-M RELATIONc-M RELATION
Bullock et al. 2001
•c slowly declines as M increases (slope of -0.1)
•Constant scatter (σlogc ≈ 0.14)
•the normalization depends sensitively on the cosmological parameters, in particular σ8 and w (D04,Kuhlen et al. 2005).
Concentrations for relaxed halos are larger by 10% compared to the whole population (Jing 2000, Wechsler 2002, Maccio’ 2006). They show also smaller scatter (σlogc ≈ 0.10)
Wechsler et al. 2002
Selection EffectsSelection Effects
A SPECIAL ERA IN X-RAY ASTRONOMY
Chandra XMM-Newton
•1 arcsec resolution •High sensitivity due to high effective area, i.e. more photons
• NFW a good fit to the mass profile
•c-M relation is consistent with no variation in c and with the gentle decline with increasing M expected from CDM (α = -0.040.03, P05).
Vikhlinin et al. 2006Pointecouteau et al. 2005
Clusters X-ray resultsClusters X-ray results
THE PROJECTTHE PROJECT
•Improve significantly the constraints on the c-M relation by analyzing a wider mass range with many more systems, in particular obtaining accurate mass constraints on relaxed systems with 1012 ≤ M ≤ 1014 Msun
•There are very few constraints on groups scale (1013 ≤ M ≤ 1014 Msun) , where numerical predictions are more accurate because a large number of halo can be simulated.
In Gastaldello et al. 2007 we selected a sample of 16 objects in the 1-3 keV range from the XMM and Chandra archives with the best available data with
•no obvious disturbance in surface brightness at large scale
•with a dominant elliptical galaxy at the center
•with a cool core
•with a Fe gradient
The best we can do to ensure hydrostatic equilibrium and recover mass from X-rays.
SELECTION OF THE SAMPLESELECTION OF THE SAMPLE
RESULTSRESULTS•After accounting for the mass of the hot gas, NFW + stars is the best fit model
MKW 4
NGC 533
RESULTSRESULTS•No detection of stellar mass due to poor sampling in the inner 20 kpc or localized AGN disturbance
NGC 5044
Buote et al. 2002
RESULTSRESULTS
•NFW + stars best fit model
•We failed to detect stellar mass in all objects, due to poor sampling in the inner 20 kpc or localized AGN disturbance. Stellar M/L in K band for the objects with best available data is 0.570.21, in reasonable agreement with SP synthesis models (≈ 1)
•Adopting more complicated models, like introducing AC or N04 did not improve the fits. AC produces too low stellar mass-to-light ratios
c-M relation for groupsc-M relation for groups
We obtain a slope α=-0.2260.076, c decreases with M at the 3σ level
THE X-RAY c-M RELATION THE X-RAY c-M RELATION • Buote et al. 2007 c-M relation for 39
systems ranging in mass from ellipticals to the most massive galaxy clusters (0.06-20) x 1014 Msun.
• A power law fit requires at high significance (6.6σ) that c decreases with increasing M
• Normalization and scatter consistent with relaxed objects
THE X-RAY c-M RELATION THE X-RAY c-M RELATION
WMAP 1 yr Spergel et al. 2003
THE X-RAY c-M RELATION THE X-RAY c-M RELATION
WMAP 3yr Spergel et al. 2006
CAVEATS/FUTURE WORKCAVEATS/FUTURE WORK HE (10-15% from simulations, e.g. Nagai et al.
2006, Rasia et al. 2006). No results yet on the magnitude for the bias on c (if there is one) due to radial dependence of turbulence
Selection bias Semi-analytic model prediction of c-M Gas physics and AC (problems also with rotation
curves of spirals: Kassim et al. 2006, Gnedin et al. 2006 but also positive claims: M31 mass model of Seigar et al. 2007)
Extend the profiles at large radii (r500 is possible to reach for groups)
MASS CONCLUSIONSMASS CONCLUSIONS
•The crucial mass regime of groups has provided the crucial evidence of the decrease of c with increasing M
•c-M relation offers interesting and novel approach to potentially constrain cosmological parameters
THE RELEVANCE OF ENTROPYTHE RELEVANCE OF ENTROPY
In the widely accepted hierarchical cosmic structure formation predicted by cold dark matter models and in the absence of radiative cooling and supernova/AGN heating, the thermodynamic properties of the hot gas are determined only by gravitational processes, such adiabatic compression during collapse and shock heating by supersonic gas accretion (Kaiser 1986)
clusters and group of galaxies should follow similar scaling relations, for example if emission is bremsstrahlung and gas is in hydrostatic equilibrium L T2 and if we define as “entropy” K = T/n2/3, then K T (so S=k lnK + s0, it’s also called adiabat because P = K ργ).
Entropy reflects more directly the history of heating and cooling of the ICM
The L-T relationThe L-T relation
Mulchaey 2000
It has been clear for many years that the cluster L-T relation does not follow the LT2 slope expected for self-similar systems.
In practice, LT3 for clusters (Edge & Stewart 1991), with possible further steepening to LT4 in group regime (Helsdon & Ponman 2000)
X-ray surface brightnessX-ray surface brightness
Ponman, Cannon & Navarro 1999
Overlay of scaled X-ray surface brightness profiles shows that emissivity (hence gas) is suppressed and flattened in cool (T<4 keV) systems, relative to hot ones.
Entropy in the IGMEntropy in the IGM
Entropy floor
Self-similar scaling
Ponman et al. (1999) & Lloyd-Davies et al (2000) studied ROSAT and ASCA data for a sample of clusters core entropy appeared to show a “floor” at~100-150 keV cm2
at r=0.1 r200 .
Entropy in the IGMEntropy in the IGM
A larger study, of 66 systems by Ponman et al. (2003), now indicates that there is not a “floor” but a “ramp”, with K(0.1r200) scaling as KT2/3, rather than the self-similar scaling of KT.
KT
PROPOSED EXPLANATIONSPROPOSED EXPLANATIONS1. EXTERNAL PREHEATING MODELS: the IGM was heated prior
to the formation of groups and clusters (e.g. Tozzi & Norman 2001) results in isoentropic cores
2. INTERNAL HEATING MODELS: the gas is heated inside the bound system by supernovae or AGN (e.g. Loewenstein 2000)
3. COOLING MODELS: low entropy gas removed from the system, producing an effect similar to heating (e.g. Voit & Bryan 2001)
All three models can reproduce the L-T relation and excess entropy but with some problems:
1 requires too large amount of energy at high redshift
2 requires 100% efficiency from supernovae or fine tuning for AGN
3 overpredicts the amount of stars in groups and clusters
More realistic scenarios with both heating and cooling are required (e.g. Borgani et al. 2002)
External preheating models with different levels of heating. Large isoentropic cores are produced
Internal heating with rising entropy profiles
BRIGHENTI & MATHEWS 2001
THE BASELINE INTRACLUSTER ENTROPY THE BASELINE INTRACLUSTER ENTROPY PROFILE FROM GRAVITATIONAL STRUCTURE PROFILE FROM GRAVITATIONAL STRUCTURE
FORMATIONFORMATION
VOIT ET AL. 2005
COMPARISON WITH MASSIVE CLUSTERS AND COMPARISON WITH MASSIVE CLUSTERS AND GRAVITATIONAL SIMULATIONSGRAVITATIONAL SIMULATIONS
PRATT ET AL. 2006
ENTROPY PROFILESENTROPY PROFILES
ENTROPY PROFILESENTROPY PROFILES
GASTALDELLO ET AL. 2008, IN PREP.
ENTROPY PROFILESENTROPY PROFILES
GASTALDELLO ET AL. 2008, IN PREP.
COMPARISON WITH MASSIVE CLUSTERS AND COMPARISON WITH MASSIVE CLUSTERS AND GRAVITATIONAL SIMULATIONSGRAVITATIONAL SIMULATIONS
GASTALDELLO ET AL. 2008, IN PREP.
COMPARISON WITH MASSIVE CLUSTERS AND COMPARISON WITH MASSIVE CLUSTERS AND GRAVITATIONAL SIMULATIONSGRAVITATIONAL SIMULATIONS
GASTALDELLO ET AL. 2008, IN PREP.
GAS FRACTIONSGAS FRACTIONS
ENTROPY CONCLUSIONSENTROPY CONCLUSIONS
BROKEN POWER LAW ENTROPY PROFILES FOR GROUPS WITH STEEPER INNER SLOPES AND FLATTER OUTER SLOPES SEEM TO POINT TO HIGHER IMPORTANCE OF FEEDBACK PROCESSES WITH RESPECT TO MASSIVE CLUSTERS
LOWER GAS FRACTIONS ARE ANOTHER EVIDENCE OF THIS FACT
AGN FEEDBACKAGN FEEDBACK
THE “OLD” MASS SINK PROBLEM IS NOW THE “FEEDBACK PROBLEM”
AGN FEEDBACK, PUT ON A FIRMER GROUND BY THE CHANDRA IMAGES, HAS BROADER ASTROPHYSICAL IMPLICATIONS FOR GALAXY FORMATION AND EVOLUTION
“SOME LOOSE ENDS REMAIN” (J. BINNEY)
NGC 5044 AND NGC 4325NGC 5044 AND NGC 4325
NGC 5044
NGC 4325
ENTROPY PROFILES FOR AGN ENTROPY PROFILES FOR AGN HEATINGHEATING
VOIT ET AL. 2006
ENTROPY PROFILESENTROPY PROFILES
NGC 4325 AGN DISTURBANCE: RUSSELL ET AL. 2007
NGC 5044 AND NGC 4325NGC 5044 AND NGC 4325
NGC 5044
NGC 4325
NGC 5044 NGC 5044
NGC 5044 NGC 5044
DUST IN NGC 5044 DUST IN NGC 5044
TEMI, BRIGHENTI & MATHEWS 2007
AWM4 AND AGN FEEDBACKAWM4 AND AGN FEEDBACK
“In this scenario there is a clear dichotomy between active and radio quiet clusters: one would expect the cluster population to bifurcate into systems with strong temperature gradients and feedback and those without either”
Donahue et al. 2005
AWM4 AND AGN FEEDBACKAWM4 AND AGN FEEDBACK
GASTALDELLO ET AL. 2007, APJ SUBM.
AWM4 AND AGN FEEDBACKAWM4 AND AGN FEEDBACK
AWM4 AND AGN FEEDBACKAWM4 AND AGN FEEDBACK
CONCLUSIONS ON AGN CONCLUSIONS ON AGN FEEDBACKFEEDBACK
AGN FEEDBACK HAS ALL THE FEATURES OF THE RIGHT SOLUTION BUT WE ARE NOT CLOSE TO A CLEAR UNDERSTANDING
AGN FEEDBACK IN GROUPS IS STILL POORLY INVESTIGATED AND THERE ARE SOME PUZZLES, LIKE AWM 4