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The role of cool clusters

The role of cool clusters. Jelle S Kaastra SRON. The power of high spectral resolution. Simulation 10 5 s NEW configuration 2A 0335-96, central 3 arcmin (z=0.035) Excellent spectra, lots of diagnostic Even true when put at large distance. Temperature diagnostics.

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The role of cool clusters

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  1. The role of cool clusters Jelle S Kaastra SRON

  2. The power of high spectral resolution • Simulation 105 s • NEW configuration • 2A 0335-96, central 3 arcmin (z=0.035) • Excellent spectra, lots of diagnostic • Even true when put at large distance

  3. Temperature diagnostics • T hard to measure for E<kT from continuum only • Multi-T plasma: need lines to resolve T-structure De Plaa et al. 2005

  4. Abundance diagnostics T = 1 keV T = 0.2 keV T = 5 keV

  5. Measuring ion temperatures • With high resolution (~ eV) possible to measure line broadening due to finite ion temperature • Important for shocks etc. Model with Ti = 0

  6. Optical depths / turbulence • Several Fe-L lines (red in figure) sensitive to optical depth, others (blue in figure) not • For known distance, this gives turbulent velocity

  7. Measuring turbulence • Important pressure component: turbulence • Dynamics (Doppler shifts) important for testing e.g. merger models • Needs high resolution (1 eV at 1 keV)

  8. Cluster chemistry: decomposition in SN types • 2A 0335+096 (top) and Sersic 159-03 (bottom) • Light elements (O, Ne, Mg) from high mass SN (type II) • Heavy elements (Fe, Ni) from WD collapse (type Ia) • Ratio II/Ia is 2-3 • Few 109 sn Ia per cluster Werner et al. 2005 De Plaa et al. 2005

  9. Another case: M 87(Werner et al. 2006) • Total exposure time: 169 ks • Clear lines from O, N, and C seen • C/Fe: 1.17±0.14 • N/Fe: 1.63±0.18 • O/Fe: 0.66±0.04 • Ne/Fe: 1.31±0.09 • Mg/Fe: 1.33±0.09 •  AGB stars for CN! Continuum-subtracted RGS spectrum

  10. More chemistry: rare elements K-shell • Plots: maximum EW (as function of T) of lines for CIE plasma; solar abundances L-shell

  11. Example: Na in coronal spectrum • Needs to find weak lines in crowded spectral area • High spectral resolution not only required for sensitivity but also for de-blending

  12. How to recognize a cluster? • Spatially extended source (classical argument); measure S/N over full or part of spectral band • Redshifted line emission spectrum (possible with high spectral resolution); Fit emission measure

  13. Results • Cool clusters: high spectral resolution helps • Hot clusters: we see mostly featureless Bremsstrahlung but no exp(-kT) tail so poor estimate of emission measure

  14. NEW: minimum integration time • Hot clusters are seen wherever they are • For high T clusters at very high z better visible! • For cool clusters, longer exposure times really help: 106 s exposure is great!

  15. Redshift distribution • For low T, cut-off due to S/N: simply too low luminosity • For high T, strong evolution effects • Above ~2 keV, we see all clusters at any redshift • Sample dominated by 1-4 keV clusters

  16. How many clusters do we see?

  17. Alternative case • Look also to alternative: 70x70 deg but 104 s exposure time (same total exposure time as 7x7 deg @ 106 s) • Relatively less cool clusters • Sample dominated by hotter clusters: 2-8 keV

  18. Conclusions • High resolution spectroscopy with a wide FOV, as offered by ESTREMO/NEW, allows to study many aspects of cluster physics in detail • In particular low T systems well ssuited thanks to their line richness • During its lifetime, ESTREMO/NEW will see many such systems at broad range in z

  19. Model clusters • Use fixed set of temperatures • Use L-T correlation (Voit 2004) to get 2-10 keV luminosity: • L = L0 (T/T0)α • L0 = 6x1037 W • T0 = 6 keV • α = 3 HIFLUCS sample Reiprich & Böhringer

  20. Spatial distribution • Use isothermal β-model • Use loose correlation between β and rc to constrain number of free parameters • Use 4 typical cases: rc = 50, 100, 200 and 400 kpc HIFLUCS sample Reiprich & Böhringer

  21. Luminosity function • Use recent compilation of Mullis et al. 2004 for evolving luminosity function: • Press-Schechter parameterization • Parameters are redshift (and luminosity) dependent

  22. Evolution • Evolution of cluster parameters highly uncertain • Use here Vikhlinin et al. 2002 based on distant clusters observed with Chandra: • For fixed T: • L~(1+z)1.5 • Mg~(1+z)-0.5 •  rc~(1+z)-5/6 for self similar evolution

  23. Simulations for NEW • Effective area 1000 cm² • ΔE = 3 eV • FOV 60’x60’ • Spatial resolution 1’ • Smallest/largest extraction radius 2/30’ • Cosmic X-ray background only

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