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Simulating the Cooling Flow of Cool-Core Clusters Yuan Li Advisor: Greg Bryan Department of Astronomy, Columbia University July 2011

Simulating the Cooling Flow of Cool-Core Clusters

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Simulating the Cooling Flow of Cool-Core Clusters. Yuan Li Advisor: Greg Bryan Department of Astronomy, Columbia University. July 2011. The Cooling Flow Problem. In Cool-Core Clusters: t cool Cooling flow 100s M sun /yr >> SFR => Heating sources: AGN. - PowerPoint PPT Presentation

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Page 1: Simulating the Cooling Flow of Cool-Core Clusters

Simulating the Cooling Flow of Cool-Core Clusters

Yuan LiAdvisor: Greg Bryan

Department of Astronomy, Columbia University

July 2011

Page 2: Simulating the Cooling Flow of Cool-Core Clusters

The Cooling Flow Problem

• In Cool-Core Clusters: tcool << Hubble Time• Steady state => Cooling flow• 100s Msun /yr >> SFR => Heating sources: AGN

Page 3: Simulating the Cooling Flow of Cool-Core Clusters

• How cold gas cools out of the flow: local or global? • The amount of cold gas produced• The rate of gas accretion on to a central SMBH• The lack of cool gas observed in X-rays• The impact of other processes (thermal

conduction, Type Ia SN heating, etc) on the cooling instability

• Will focus on heating in later work

Key Questions:

Page 4: Simulating the Cooling Flow of Cool-Core Clusters

Simulation Setup• Enzo, an Adaptive Mesh

Refinement (AMR) code: Mpc to pc scale (smallest cell: 2pc)

• 3D, spherical symmetric + rotation • An Isolated Cluster at z = 1• Comoving box size = 16 Mpc/h• NFW Dark Matter + BCG + SMBH +

gas• Initial gas density and

temperature: observations of Perseus Cluster

• Initial pressure: HSE• Initial velocity: Gaussian random

velocity + rotation• No feedback (yet)

Page 5: Simulating the Cooling Flow of Cool-Core Clusters

Results: Density Temperature and Pressure

Page 6: Simulating the Cooling Flow of Cool-Core Clusters

Compressional Heating / Cooling Rotational Support

Page 7: Simulating the Cooling Flow of Cool-Core Clusters

Results: Time-scales

Page 8: Simulating the Cooling Flow of Cool-Core Clusters

16.6 kpc

Projection-z

t=296 Myr

Page 9: Simulating the Cooling Flow of Cool-Core Clusters

330 pc

Projection-z

t=296 Myr

Page 10: Simulating the Cooling Flow of Cool-Core Clusters

330 pc

Projection-x

t=296 Myr

Page 11: Simulating the Cooling Flow of Cool-Core Clusters

Results: The Amount of Cool GasCompared to Observations

Page 12: Simulating the Cooling Flow of Cool-Core Clusters

Results: Estimated AGN Feedback

Page 13: Simulating the Cooling Flow of Cool-Core Clusters

Results: Impact of Resolution

Page 14: Simulating the Cooling Flow of Cool-Core Clusters

Conclusion• A global cooling catastrophe occurs first at a transition radius

of about 50 pc from the SMBH• The temperature profile remains remarkably flat as the cluster

core cools• There is a distinct lack of gas below a few keV• Local thermal instabilities do not grow outside the transition

radius• Thermal conduction and Type Ia SN heating are not important• The final result is sensitive to the presence of the BCG and the

resolution of the simulation• Next step: including feedback

Page 15: Simulating the Cooling Flow of Cool-Core Clusters
Page 16: Simulating the Cooling Flow of Cool-Core Clusters

Results: Gas Inflow Velocity

Page 17: Simulating the Cooling Flow of Cool-Core Clusters

Classic Cooling Flow