| Morphology of galaxies, galaxy-clusters, super clusters, and voids of galaxies can provide important clues to understand the past and present physical processes that play significant role in their formation. Morphological studies of these systems at present and at high redshifts may reveal information about the dynamics of the Large Scale Structure (LSS) such as the rate of merging at different redshifts and thus put stringent constraints on models of structure formation.;We have implemented a new method in galaxy morphology that is based on a set of morphological measures, known as the Minkowski Functionals (MFs). The MFs provide a non-parametric description of the images of cosmological objects implying that no specific or prior assumptions are needed to identify shape of any image. The technique is numerically very efficient and therefore is applicable to large data sets. The various shape measures, constructed from the MFs, can be used in parallel to the conventional shape descriptors. Few of these measures appear to be very sensitive to image contamination such as foreground stars and can be used as filtering tools of galaxy images in large surveys.;We have applied this method to determine morphological features of near-infra red (NIR) galaxies imaged in the Two Micron All Sky Survey (2MASS). The primary results that we have obtained appear very encouraging. The MFs based shape parameters are able to discern galaxies into two broad bins: elliptical and non-elliptical. Future works are focused on analyzing morphology of ultraviolet, optical, and radio galaxies as a function of environments.;We have also applied this method to galaxy-clusters. The current works are focused primarily on understanding the origin of discrepancies noticed in the evolutionary behavior of simulated and observed galaxy-clusters. Future works are aimed on extensive morphological studies of optical and X-ray galaxy-clusters. |
