Overview and current status of the VSOP mission

An overview and status report of the VLBI Space Observatory Programme is presented.     

Cosmological implications of the PSCz PDF and its moments

We compare the probability density function (PDF) and its low-order moments (variance and skewness) of the smoothed IRAS Point Source Catalogue Redshift Survey (PSC z ) galaxy density field and of the corresponding simulated PSC z look-alikes, generated from N -body simulations of six different dark matter models: four structure-normalized with     and     , one COBE -normalized, and the old standard cold dark matter model. The galaxy distributions are smoothed with a Gaussian window at three different smoothing scales,     , 10 and 15  h ⁻¹ Mpc. We find that the simulation PSC z look-alike PDFs are sensitive only to the normalization of the power spectrum, probably owing to the shape similarity of the simulated galaxy power spectrum on the relevant scales. We find that the only models that are consistent, at a high significance level, with the observed PSC z PDF are models with a relatively low power spectrum normalization     . From the phenomenologically derived σ ₈–moments relation, fitted from the simulation data, we find that the PSC z moments suggest     .     

ADVANCES IN REGIONAL CLIMATE MODELING SINCE 1990

Due to the close relationship between regional climate anomalies and social-economy andsociety development,climatologists worldwide paid great attention to the regional climateanomalies over a long period of time and the corresponding investigation of regional climatemodeling has made great progresses.Since 1990 the regional climate simulations have made a moresubstantial achievement.This paper will focus on the reliability and uncertainties of regionalclimate modeling by global climate models,the advances on regional climate modeling in the worldand the outlook of regional climate modeling.     

Professional Technologies in Schools: The Role of Pedagogical Knowledge in Teaching With Geospatial Technologies

Preparing learners for the future requires twenty-first-century teaching that integrates professional tools in the classroom. Geospatial technologies (GST), which represent geographical professional technologies, lack robust integration in high school geography. Researchers continue to ask why educators teach about rather than with GST. Understanding teacher decisions is paramount. This mixed methods study examined commonalities among teachers who use GST using Mishra and Koehler’s (2006 Mishra, P., and M. J. Koehler. 2006. Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record 108 (6):1017–54.[Crossref], [Web of Science ®] , [Google Scholar]) Technological, Pedagogical, Content Knowledge (TPCK) framework as a theoretical lens. This investigation examined whether geography teachers who exhibit stronger geospatial TPCK used GST more frequently than other teachers who exhibited a less developed knowledge base.     

On the distribution of haloes, galaxies and mass

The stochasticity in the distribution of dark haloes in the cosmic density field is reflected in the distribution function   P _V ( N _h| δ _m)  , which gives the probability of finding N _h haloes in a volume V with mass density contrast δ _m. We study the properties of this function using high-resolution N -body simulations, and find that   P _V ( N _h| δ _m)  is significantly non-Poisson. The ratio between the variance and the mean goes from ∼1 (Poisson) at  1+ δ _m≪1  to <1 (sub-Poisson) at  1+ δ _m∼1  to >1 (super-Poisson) at  1+ δ _m≫1  . The mean bias relation is found to be well described by halo bias models based on the Press–Schechter formalism. The sub-Poisson variance can be explained as a result of halo exclusion, while the super-Poisson variance at high δ _m may be explained as a result of halo clustering. A simple phenomenological model is proposed to describe the behaviour of the variance as a function of δ _m. Galaxy distribution in the cosmic density field predicted by semi-analytic models of galaxy formation shows similar stochastic behaviour. We discuss the implications of the stochasticity in halo bias to the modelling of higher order moments of dark haloes and of galaxies.