Modeling powerful mergers

Modeling the Complete Gravitational Wave Spectrum of Neutron Star Mergers.

In the context of neutron star mergers, we study the gravitational wave spectrum of the merger remnant using numerical relativity simulations. Postmerger spectra are characterized by a main peak frequency f2 related to the particular structure and dynamics of the remnant hot hypermassive neutron star. We show that f(2) is correlated with the tidal coupling constant κ(2)^T that characterizes the...

MODELING BANK MERGERS IN THE 1990s: THE POTENTIAL DILUTION EFFECT

As mergers become increasingly important in the financial services industry, the need for proper sensitivity analysis to assess the financial impact of the merger is essential. Unlike industrial mergers, there is almost always initial dilution in a bank merger. This is because of the homogenous nature of bank P/E ratios and the high premium over book value that is typically paid. The problem of...

Modeling feedback from stars and black holes in galaxy mergers

We describe techniques for incorporating feedback from star formation and black hole accretion into simulations of isolated and merging galaxies. At present, the details of these processes cannot be resolved in simulations on galactic scales. Our basic approach therefore involves forming coarse-grained representations of the properties of the interstellar medium and black hole accretion startin...

Application of Genetic Programming as a Powerful Tool for Modeling of Cellulose Acetate Membrane Preparation

Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling

Discriminant analysis is one of the classical classification techniques used to discriminate a single categorical variable using multiple attributes. Discriminant analysis also assigns observations to one of the pre-defined groups based on the knowledge of the multi-attributes. When the distribution within each group is multivariate normal, a parametric method can be used to develop a discrimin...