Modified Entropy Models for the Intracluster Medium

By G. Mark Voit, Greg L. Bryan, M. Balogh, Richard G. Bower. 2002

168 citations recorded by the source corpus.

We present a set of cluster models that link the present-day properties of clusters to the processes that govern galaxy formation. These models treat the entropy distribution of the intracluster medium as its most fundamental property. Because convection strives to establish an entropy gradient that rises with radius, the observable properties of a relaxed cluster depend entirely on its dark matter potential and the entropy distribution of its uncondensed gas. Guided by simulations, we compute the intracluster entropy distribution that arises in the absence of radiative cooling and supernova heating by assuming that the gas density distribution would be identical to that of the dark matter. The lowest entropy gas would then fall below a critical entropy threshold at which the cooling time equals a Hubble time. Radiative cooling and whatever feedback is associated with it must modify the entropy of that low-entropy gas, changing the overall entropy distribution function and thereby altering the observable properties of the cluster. Using some phenomenological prescriptions for entropy modification based on the existence of this cooling threshold, we construct a remarkably realistic set of cluster models. The surface brightness profiles, mass-temperature relation, and luminosity-temperature relation of observed clusters all naturally emerge from these models. By introducing a single adjustable parameter related to the amount of intracluster gas that can cool within a Hubble time, we can also reproduce the observed temperature gradients of clusters and the deviations of cooling flow clusters from the standard luminosity-temperature relation.

Subfields: Astronomy and Astrophysics, Instrumentation, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/f1c8b7f65dd5a1ff1324208bf3c0e9a6a96fcc7d

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In Astronomy and Astrophysics

  1. Volker Springel
  2. Joop Schaye
  3. Andrey V. Kravtsov
  4. Stefano Borgani
  5. Carlos S. Frenk
  6. Simon D. M. White
  7. L. Hernquist
  8. Ian G. McCarthy

In Instrumentation

  1. Volker Springel
  2. Joop Schaye
  3. Carlos S. Frenk
  4. Simon D. M. White
  5. Ian G. McCarthy
  6. Tom Theuns
  7. Claudio Dalla Vecchia
  8. Richard G. Bower

In Statistical and Nonlinear Physics

  1. Volker Springel
  2. G. Mark Voit
  3. H. Böhringer
  4. Stefano Borgani
  5. S. Oh
  6. Joop Schaye
  7. Carlos S. Frenk
  8. Zoltán Haiman

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