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Giuseppe Tormen

Publications and source records attributed to Giuseppe Tormen.

39 records · Page 3Linked to original sources

Hydrodynamic Simulations of Galaxy Formation

This review is a short introduction to numerical hydrodynamics in a cosmological context, intended for the non specialist. The main processes relevant to galaxy formation are first presented. The fluid equations are then introduced, and their implementation in numerical codes by Eulerian grid based methods and by Smooth Particle Hydrodynamics is sketched. As an application, I finally show some results from an SPH simulation of a galaxy cluster.

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The Structure of Dark Matter Halos

I use $N$-body simulations to investigate the morphology and the dynamical evolution and properties of dark matter halos in clusters of galaxies. My sample consists of nine massive halos, coming from an Einstein-de Sitter universe with scale free power spectrum and spectral index $n = -1$. Halos are resolved by 20,000 particles each, on average, and have a dynamical resolution of 20-25 kpc, as shown by extensive tests. I find that the {\em average} density profiles of the halos are fitted by the Navarro, Frenk and White (1995) analytical fit with a root mean square (rms) residual of 20\% within the Virial radius. The Hernquist (1990) analytical density profiles fits the same halos with an rms residual of 30\%. The projected mass profiles of the simulated halos are in very good agreement with the profiles of rich galaxy clusters derived from strong and weak gravitational lensing observations.

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Testing the Velocity Field in Non--Scale Invariant Cold Dark Matter Models

We analyze the cosmic peculiar velocity field as traced by a sample of 1184 spiral, elliptical and S0 galaxies, grouped in 704 objects. We perform a statistical analysis, by calculating the bulk flow, Cosmic Mach Number and velocity correlation function for this sample and for mock catalogs extracted from a set of N--body simulations. We run four cold dark matter (CDM) simulations: two tilted models (with spectral index $n=0.6$ and $n=0.8$), the standard model ($n=1$) and a ``blue" one ($n=1.2$), with different values of the linear bias parameter $b$. By means of a Maximum Likelihood analysis we estimate the ability of our models to fit the observations, as measured by the above statistics, and to reproduce the Local Group properties. On the basis of this analysis we conclude that the best model is the unbiased standard model $(n,~b)=(1,~1)$, even though the overall flatness of the joint likelihood function implies that one cannot strongly discriminate models in the range $0.8 \le n \le 1$, and $1 \le b \le 1.5$. Models with $b \geq 2.5$ are rejected at the $95\%$ confidence level. For $n=0.8$ the values of $b$ preferred by the present analysis, together with the {\em COBE} data, require a negligible contribution to $ΔT/T$ by gravitational waves. Finally, the blue model, normalized to {\em COBE}, does not provide a good fit to the velocity data.

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