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Constraining the Nature and Impact of AGN Evan Scannapieco School of Earth and Space Exploration Arizona State University Evan Scannapieco School of Earth.

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Presentation on theme: "Constraining the Nature and Impact of AGN Evan Scannapieco School of Earth and Space Exploration Arizona State University Evan Scannapieco School of Earth."— Presentation transcript:

1 Constraining the Nature and Impact of AGN Evan Scannapieco School of Earth and Space Exploration Arizona State University Evan Scannapieco School of Earth and Space Exploration Arizona State University

2 Downsizing & Preheating Ueda etal 2004 Cavaliere, Menci, &Tozzi (1999)

3 OpenMP version of the ‘Hydra’ SPH code (Pearce & Couchman 1997, Thacker et al 2003, Thacker & Couchman, 2006) 2x 640 3 mass elements (half gas, half dark matter) Largest cosmological SPH simulation ever carried out at that time 147 h -1 Mpc box, mass resolution 2.2x10 8 baryons, 1.2x10 9 DM Locally adaptive Fourier-mesh scheme 140,000 cpu hours, down to 140,000 cpu hours, down toz=1.2 Total disk output ~ 5 TB (1/5th size of Millennium Run) Total disk output ~ 5 TB (1/5th size of Millennium Run) Simulating Quasars Thacker, ES & Couchman 2006, ApJ, 653, 86

4 Simulating Quasars Modification of work done on SN outflows (ES, Thacker, & Davis 2001, Thacker, ES, & Davis 2002) Outflows are modeled as thin spherical shells. Host galaxy remains intact. Quasar are associated with 3:1 mergers, “LIGHTBULB”-- L-Edd as in Wyithe & Loeb BH mass calculated from baryonic velocity dispersion 5% of energy in light is put into outflow Thacker, ES & Couchman 2006, ApJ, 653, 86

5 Quasar tracking Merger model requires that we find groups and identify mergers while the simulation is running Need fast group finder Previous work used group finder to identify the mass of objects and determine star formation events Simple to adapt this to include a group index Merger model requires that we find groups and identify mergers while the simulation is running Need fast group finder Previous work used group finder to identify the mass of objects and determine star formation events Simple to adapt this to include a group index Time 1 23 45 67 8 9 10 11 12 13 14 15

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7 Galaxy Clusters Temperature/ keV LXLX 10 40 10 42 10 44 10 46 L X  T 3.2 This Works! Thacker, ES, & Couchman (2006)

8 Quasar Luminosity Function Thacker, ES, & Couchman (2006)

9 Correlation function of Quasars Our simulation agrees with the observed turn-up in the small scale clustering of quasars CF is explained by the “halo model” of clustering No need for “special physics” Our simulation agrees with the observed turn-up in the small scale clustering of quasars CF is explained by the “halo model” of clustering No need for “special physics” Sloan binary quasar data (Hennawi et al 2005) 2dF results (Croom et al 2001) Blue=sim

10 Quasar-Galaxy cross correlation function Blue=gg Red=qg Hash=DEEP2 (from Coil etal 06) blue line = 2x10 12 DM halos Could this be 3-body interactions? Blue=gg Red=qg Hash=DEEP2 (from Coil etal 06) blue line = 2x10 12 DM halos Could this be 3-body interactions? Thacker, ES, & Couchman (2006)

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12 Dynamical Friction

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14 Three-body interactions

15 |V 12 | V 12 r 12 ^ | V 12  r 12 | ^

16 Sunyaev Zel’dovich Effect

17 Comparison Simulation 2x 320 3 mass elements (half gas, half dark matter) 67.5 h -1 Mpc box, mass resolution 2.2x10 8 baryons, 1.2x10 9 DM Mergers are exactly as the were in the feedback run, but no outflows are included. Outputs every 50 Myrs!

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21 6 arcmin Cross-Correlations 6 arcmin

22 Cross-Correlations - Ellipticals

23 Measuring AGN Feedback

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25 Clustering: Enhanced clustering at small separations appears to be a robust feature of mergers. Enhanced clustering at small separations appears to be a robust feature of mergers. This appears to be driven by statistics and not dynamics. This appears to be driven by statistics and not dynamics. Needs to be quantified better… Clustering: Enhanced clustering at small separations appears to be a robust feature of mergers. Enhanced clustering at small separations appears to be a robust feature of mergers. This appears to be driven by statistics and not dynamics. This appears to be driven by statistics and not dynamics. Needs to be quantified better… Thanks! SZ Observations: SZ Observations: Provide a direct way of measuring AGN feedback Provide a direct way of measuring AGN feedback Coadding Bulges - Radio Loud = E Tot (M Bulge ) Coadding Bulges - Radio Loud = E Tot (M Bulge )

26 South Pole Telescope Sensitivity: 10  K Beam: 1 arcmin Status: Initial Engineering Obs. Atacama Cosmology Telescope Sensitivity: 2  K Beam: 2 arcmin Status: Initial Engineering Obs.

27 Cross-Correlations - QSOs


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