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J. R. Primack

Publications and source records attributed to J. R. Primack.

45 records · Page 3Linked to original sources

Arc Statistics in Clusters: Galaxy Contribution

The frequency with which background galaxies appear as long arcs as a result of gravitational lensing by foreground clusters of galaxies has recently been found to be a very sensitive probe of cosmological models by Bartelmann et al. (1998). They have found that such arcs would be expected far less frequently than observed (by an order of magnitude) in the currently favored model for the universe, with a large cosmological constant $Ω_Λ\sim 0.7$. Here we analyze whether including the effect of cluster galaxies on the likelihood of clusters to generate long-arc images of background galaxies can change the statistics. Taking into account a variety of constraints on the properties of cluster galaxies, we find that there are not enough sufficiently massive galaxies in a cluster for them to significantly enhance the cross section of clusters to generate long arcs. We find that cluster galaxies typically enhance the cross section by only $\lesssim 15%$.

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Constraining the IMF using TeV gamma ray absorption

Gamma rays of ~TeV energies from distant sources suffer attenuation due to pair production off of ~1 micron EBL photons. We may exploit this process in order to indirectly measure the EBL and constrain models of galaxy formation. Here, using semi-analytic models of galaxy formation, we examine how gamma ray absorption may be used as an indirect probe of the stellar initial mass function (IMF), although there is a degeneracy with dust modeling. We point out that with the new generation of gamma ray telescopes including STACEE, MAGIC, HESS, VERITAS, and Milagro, we should soon possess a wealth of new data and a new method for probing the nature of the IMF.

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Formation of Dark Matter Halos

This article concerns the formation and structure of dark matter halos, including (1) their radial density profiles, (2) their abundance, and (3) their merger rates. The last topic may be relevant to the nature of the small, bright, high-redshift galaxies discovered by the Lyman break technique. (1) Study of a statistical sample of galaxy-mass dark halos in high-resolution Adaptive Refinement Tree simulations shows that they have a central density profile p(r) \propto 1/r^g with g \approx 0.2, in agreement with data on dark-matter-dominated disk galaxies. We present recent, higher resolution results on this. (2) Another important new result is that the Press-Schechter approximation predicts about twice as many galaxy-mass halos at z=0 as are present in large dissipationless N-body simulations; more generally, PS overpredicts the abundance of M ~< 0.1M_* halos at all redshifts. (3) Finally, we discuss the assembly of these halos, in particular the merger rate of (sub-)halos at high redshift and the distribution of the starbursts that these mergers are likely to trigger. If most of the Lyman-break galaxies are such starbursts, this perhaps resolves the apparent paradox that these galaxies appear to cluster like massive halos (~10^{12} M_\odot), while their relatively low linewidths and their spectral energy distributions suggest that they have relatively low mass (few X 10^{10} M_\odot) and young ages (few X 10^8 yr). It also predicts much more star formation at high redshift in CDM-type hierarchical models for structure formation than if only quiescent star formation is included.

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Constraining the Power Spectrum using Clusters

(Shortened Abstract). We analyze a redshift sample of Abell/ACO clusters and compare them with numerical simulations based on the truncated Zel'dovich approximation (TZA), for a list of eleven dark matter (DM) models. For each model we run several realizations, on which we estimate cosmic variance effects. We analyse correlation statistics, the probability density function, and supercluster properties from percolation analysis. As a general result, we find that the distribution of galaxy clusters provides a constraint only on the shape of the power spectrum, but not on its amplitude: a shape parameter 0.18 < Γ< 0.25 and an effective spectral index at 20Mpc/h in the range [-1.1,-0.9] are required by the Abell/ACO data. In order to obtain complementary constraints on the spectrum amplitude, we consider the cluster abundance as estimated using the Press--Schechter approach, whose reliability is explicitly tested against N--body simulations. We conclude that, of the cosmological models considered here, the only viable models are either Cold+Hot DM ones with Ω_ν= [0.2-0.3], better if shared between two massive neutrinos, and flat low-density CDM models with Ω_0 = [0.3-0.5].

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Probing the Era of Galaxy Formation via TeV Gamma Ray Absorption by the Near Infrared Extragalactic Background

We present models of the extragalactic background light (EBL) based on several scenarios of galaxy formation and evolution. We have treated galaxy formation with the Press-Schecter approximation for both cold dark matter (CDM) and cold+hot dark matter (CHDM) models, representing a moderate ($z_f \sim 3$) and a late ($z_f \sim 1$) era of galaxy formation respectively. Galaxy evolution has been treated by considering a variety of stellar types, different initial mass functions and star formation histories, and with an accounting of dust absorption and emission. We find that the dominant factor influencing the EBL is the epoch of galaxy formation. A recently proposed method for observing the EBL utilizing the absorption of $\sim 0.1$ to 10 TeV gamma-rays from active galactic nuclei (AGN) is shown to be capable of discriminating between different galaxy formation epochs. The one AGN viewed in TeV light, Mrk 421, does show some evidence for a cutoff above 3 TeV; based on the EBL models presented here, we suggest that this is due to extinction in the source. The large absorption predicted at energies $>200$ GeV for sources at $z>0.5$ indicates that observations of TeV gamma-ray bursts (GRB) would constrain or eliminate models in which the GRB sources lie at cosmological distances.

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Galaxy Group Analysis - a Robust Discriminator between Cosmological Models: Cold+HOT Dark Matter and CDM Confront Cfa1

We present techniques for identifying and analyzing galaxy groups and show that they provide a powerful discriminator between cosmological models. We apply these to high-resolution PM N-body simulations of structure formation in CHDM (cold/hot/baryon fractions=.6/.3/.1, b=1.5 (COBE norm) and two CDM models; b=1.5 and b=1.0 (COBE norm). Groups are identified with the Nolthenius (1993) algorithm. We find: (1) Properties of groups are a powerful and robust discriminator between these Gaussian models whose spatial and velocity properties differ on Mpc scales. We test robustness against several methods for assigning luminosity to dark matter halos, for merging CfA1 galaxies, and for breaking up massive over-mergers (2) When allowance is made for the high large scale power P(k) present in the CfA1 data, CHDM at our $\Omnu=0.30$ produces slightly too many groups and groups too high a fraction of the galaxies, while the fraction grouped in CDM is far too low. Lowering $\Omnu$ would appear to produce close agreement with all measures, save one: for all simulations, median group sizes are x1.4-1.7 larger than equivalently selected CfA1 groups. (3) The standard group M/L method gives $Ω\simeq 0.1$ for CHDM and CfA1, and $Ω\simeq 0.35$ for CDM. A conspiracy of three effects produce these very low values, and we conclude that low observed $Ω$'s need not argue for a low $Ω$ universe. When overmergers are broken up, the median virial- to-DM mass of 3D selected groups is $\sim1$ for all simulations. $M_{DM}>10^{14}\Msun$ groups appear virialized in all simulations. Global velocity biases $b_v$ are similar to previous studies. Within 3D-selected groups, CHDM and CDM b=1.5 show a stronger bias of $b_v=0.7-0.8$, while CDM b=1.0 shows group $b_v$'s $\simeq 1$.

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Sizes of Voids as a test for Dark Matter Models

We use the void probability statistics to study the redshift-space galaxy distribution as described by a volume-limited subsample of the Perseus-Pisces survey. We compare the results with the same analysis realized on artificial samples, extracted from high-resolution N-body simulations by reproducing the observational biases of the real data set. Simulations are run for the Cold+HotDM model (CHDM) and for unbiased and biased (b=1.5) CDM models in a 50 Mpc/h box. We identify galaxies as residing in peaks of the evolved density field. We fragment overmerged structures into individual galaxies so as to reproduce both the correct luminosity function (after assuming M/ L values for the resulting galaxy groups) and the two-point correlation function. Our main result is that a void-probability function (VPF) from the standard CHDM model with fractions 60% cold, 30% hot, 10% barions, exceeds the observational VPF with a high confidence level. CDM models produce smaller VPF independent of the biasing parameter. We verify the robustness of this result against changing the observer position in the simulations and the galaxy identification in the evolved density field.

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Deviations from Hierarchical Clustering in Real and Redshift Space

We discuss the effects of redshift--space distortions on the estimate of high order galaxy correlation functions. We use both the Perseus--Pisces redshift survey and the results of high--resolution N--body simulations to explore the consequences of working in redshift space on the detection of deviations from hierarchical clustering. Both for real and simulated data, significant deviations from hierarchical clustering seem to be present in real space. Their behaviour is coherent with that expected from an initially biased galaxy field, once the displacement from the sites where galaxies formed, due to the nonlinear gravitational evolution, is taken into account. The passage to redshift space has the net effect of filtering out the higher powers required to fit the distribution in real space. This magnifies the distortions operated by nonlinear evolution on the initial distribution, erasing the residual narrow scale range (2--5~$h^{-1}$Mpc) where deviations from hierarchical clustering are still detectable in real space. We conclude that such deviations can hardly be estimated using data in redshift space.

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Non-Linear Clustering in the Cold+Hot Dark Matter Model

We use high resolution PM N-body simulations to follow the development of non-linear clustering in a flat Universe, dominated by Cold + Hot Dark Matter (CHDM) with 60% of CDM, 30% of HDM and 10% of baryons; a simulation box of 100 Mpc a side ($h=0.5$) is used. We analyze two CHDM simulations with $b =1.5$ (COBE normalization). We also compare them with CDM simulations with $b=1.5$ and $b=1$. We evaluate high-order correlation functions and the void-probability-function (VPF). Correlation functions are obtained both from counts in cells and counts of neighbors. The analysis is made for DM particles and for galaxies, identified as massive halos in the evolved density field. We also check the effects of dynamical evolution and redshift space distortions. We find that clustering of DM particles exhibits deviations from the hierarchical scaling, which decrease somewhat in redshift space. Galaxies follow hierarchical scaling far more closely, with coefficients S_3=2.5 and S_4=7.5, in general agreement with observational results, just marginally affected by redshift distortions and on the choices for the initial spectra. The hierarchical scaling of galaxy clustering is confirmed by the VPF analysis and in all the cases considered a good agreement with observational results is obtained.

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