Evidence for a new dark matter component in the Universe?

May, 2004
Published in:
  • Astron.Astrophys. 436 (2005) 411
e-Print:

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Abstract: (arXiv)
The abundance of local clusters is a traditional way to derive the amplitude of matter fluctuations. In the present work, by assuming that the observed baryon content of clusters is representative of the universe, we show that the mass temperature relation (M-T) can be specified for any cosmological model. This approach allows one to remove most of the uncertainty coming from M-T relation, and to provide an estimation of sigma\_8 whose uncertainty is essentially statistical. The values we obtain are fortuitously almost independent of the matter density of the Universe (sigma\_8 ~ 0.6-0.63) with an accuracy better than 5%. Quite remarkably, the amplitude of matter fluctuations can be also tightly constrained to similar accuracy from existing CMB measurements alone. However, the amplitude inferred in this way in a concordance model (Lambda-CDM) is significantly larger than the value derived from the above method based on X-ray clusters. Such a discrepancy would almost disappear if the actual optical thickness of the Universe was 0 but could also be alleviated from more exotic solutions: the existence of a new dark component in the Universe as massive neutrinos. However, recent other indications of sigma\_8 favor a high normalization. In this case, the assumption that the baryonic content observed in clusters actually reflects the primordial value has to be relaxed : either there exists a large baryonic dark component in the Universe or baryons in clusters have undergone a large depletion during the formation of these structures. We concluded that the baryon fraction in clusters is not representative and therefore that an essential piece of the physics of baryons in clusters is missing in standard structure formation scenario.
  • COSMOLOGY
  • CMB
  • COSMOLOGICAL PARAMETERS
  • dark matter
  • mass: temperature
  • cosmic background radiation
  • galaxy: cluster
  • numerical calculations: interpretation of experiments