Remodelling the evolution of grain size distribution in galaxies

Grain size, size-distribution and dislocation structure

Diffraction peak profile analysis (or Line Profile Analysis, LPA) has recently been developed to such an extent that it can be applied as a powerful method for the characterization of microstructures of crystalline materials in terms of crystallite size-distribution and dislocation structures. Physically based theoretical functions and their Fourier coefficients are available for both, the size...

Dynamic Evolution of Droplet/Particle Size Distribution in Suspension Polymerization of Styrene

Evolution of Disk Galaxies in the Goods-south Field: Number Densities and Size Distribution.1

We examine the evolution of the sizes and number densities of disk galaxies using the high resolution images obtained by the Great Observatories Origins Deep Survey (GOODS) with the Advanced Camera for Surveys (ACS) on the Hubble Space Telescope (HST). The multiwavelength images are used to classify galaxies based on their rest–frame B-band morphologies out to redshift z ∼ 1.25. In order to min...

formation and evolution of regional organizations: the case study of the economic cooperation organization (eco)

abstract because of the many geopolitical, geo economical and geo strategically potentials and communicational capabilities of eco region, members can expand the convergence and the integration in base of this organization that have important impact on members development and expanding peace in international and regional level. based on quality analyzing of library findings and experts interv...

Grain size measurement using distribution classification

The concept of grain size distribution is important in many industrial processes. In this study, rolled chrome concentrate was investigated to find the average grain size. Distribution classification was used with covariance, gray level difference, LBP, Laws and color features. As a comparison cooccurrence features were used. Classification was performed by a distribution classifier using leave...