Mathematics – Logic
Scientific paper
Mar 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aas...21115808d&link_type=abstract
American Astronomical Society, AAS Meeting #211, #158.08
Mathematics
Logic
Scientific paper
We investigate the number density of maxima in the cosmological mass density field smoothed with a filter as a probe of clustering. Sensitivity of the peak number density to various models with differing power spectra including rolling spectral index models, cosmologies with massive neutrinos and different baryon densities is explored. We find that rolling index models give a 10% difference in peak density compared to the scale invariant case. Models with 0.3 eV neutrinos have effects of similar magnitude and it should be possible to constrain them with data from current galaxy redshift surveys. Baryon oscillations give rise to distinct features in power spectrum. Using N-body simulations, we investigate how the peak density is modified in the presence of redshift distortions. We also study the results when the density field is traced by galaxies, obtained by populating halos with a halo occupation distribution consistent with observations. The peak number density is consistent with that in the dark matter for filter scales around 4 Mpc, for which we find good agreement with the linear theory predictions. We also analyze the data from the 2dF Galaxy Redshift Survey. We we make measurements of the peak density from 2dF Galaxy Redshift Survey data, for a range of smoothing filter scales from 4-33 H Mpc. We use these measurements to constrain the cosmological parameters, finding n=0.93+0.31-0.40, m < 0.84 eV, dn/dlnk=-0.002-0.102+0.091, at the 68% confidence level, where m is the total mass of three massive neutrinos. At 95% confidence we find m< 1.96 eV.These measurements represent an alternative way to constrain cosmological parameters to the usual direct fits to the galaxy power spectrum, and are expected to be relatively insensitive to non-linear clustering evolution and galaxy biasing.
Croft Rupert
De Soma
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