On the correlation of Short Gamma--Ray Bursts and Clusters of galaxies

We cross correlate Gamma--Ray Bursts and X--Ray selected clusters of galaxies at z\leq0.45. We find a positive 2\sigma signal for the angular cross--correlation function w_{bc}(\theta) on scales \theta\leq 3 deg between short GRBs and clusters. Conversely, no correlation is found between clusters and the population of long GRBs. The comparison with the cluster autocorrelation function shows that short GRBs do not trace the cluster distribution as not all short GRBs are found in clusters. A higher signal in w_{bc}(\theta) is found if we only consider the cluster population up to z=0.1. By comparing the short burst autocorrelation function with model predictions we then constrain short bursts to mostly originate within \sim 270 Mpc (i.e. z\leq 0.06). Our analysis also reveals that short GRBs are better correlated with ``normal'' galaxies. The double compact object merger model for short GRBs would associate them preferentially to early--type galaxies but the present statistics do not allow us to exclude that at least a fraction of these events might also take place in late--type galaxies, in agreement with recent evidences.Comment: 5 pages, 5 figures, accepted for publication in MNRA

L'impresa pubblica in Italia: una "storia" economico-aziendale e dottrinale

Il saggio ripercorre la storia dell'impresa pubblica in Italia, nelle sue tre fasi: la prima, di fine Ottocento, data dalla nascita delle "municipalizzate", la seconda, tra le due guerre, data dalla nascita delle partecipazioni statali, la terza, nel Dopoguerra, data dall'esplosione dell'economia mista e del ruolo pubblico nell'economia sino a tutti gli anni '80. La storia si articola in due parti principali: una prima parte \ue8 data dalla storia aziendale in s\ue9; la seconda \ue8 data dalla storia delle idee delle discipline aziendali nello studiare il fenomeno dell'impresa pubblica

Neutrino Decay and Solar Neutrino Seasonal Effect

We consider the possibility of solar neutrino decay as a sub-leading effect on their propagation between production and detection. Using current oscillation data, we set a new lower bound to the $\nu_2$ neutrino lifetime at $\tau_2\, /\, m_2 \geq 7.2 \times 10^{-4}\,\,\hbox{s}\,.\,\hbox{eV}^{-1}$ at $99\%\,$C.L.. Also, we show how seasonal variations in the solar neutrino data can give interesting additional information about neutrino lifetime

Group-galaxy correlations in redshift space as a probe of the growth of structure

We investigate the use of the cross-correlation between galaxies and galaxy groups to measure redshift-space distortions (RSD) and thus probe the growth rate of cosmological structure. This is compared to the classical approach based on using galaxy auto-correlation. We make use of realistic simulated galaxy catalogues that have been constructed by populating simulated dark matter haloes with galaxies through halo occupation prescriptions. We adapt the classical RSD dispersion model to the case of the group-galaxy cross-correlation function and estimate the RSD parameter $\beta$ by fitting both the full anisotropic correlation function $\xi(r_p,\pi)$ and its multipole moments. In addition, we define a modified version of the latter statistics by truncating the multipole moments to exclude strongly non-linear distortions at small transverse scales. We fit these three observable quantities in our set of simulated galaxy catalogues and estimate statistical and systematic errors on $\beta$ for the case of galaxy-galaxy, group-group, and group-galaxy correlation functions. When ignoring off-diagonal elements of the covariance matrix in the fitting, the truncated multipole moments of the group-galaxy cross-correlation function provide the most accurate estimate, with systematic errors below 3% when fitting transverse scales larger than $10Mpc/h$. Including the full data covariance enlarges statistical errors but keep unchanged the level of systematic error. Although statistical errors are generally larger for groups, the use of group-galaxy cross-correlation can potentially allow the reduction of systematics while using simple linear or dispersion models.Comment: 18 pages, 16 figure