STATISTICAL TOOLS FOR CLASSIFYING GALAXY GROUP DYNAMICS

Statistical Thinking Tools for System Dynamics

Statistical thinking is a well-established approach that involves the application of the scientific method to solving real-world organizational problems. The premise behind statistical thinking is that a disciplined approach to gathering facts can be used to identify the root causes that act as a barrier to successful performance. Once these root causes are identified, corrective action can be ...

Galaxy & Cluster Biasing from Local Group Dynamics

Comparing the gravitational acceleration induced on the Local Group of galaxies by different tracers of the underline density field we estimate, within the linear gravitational instability theory and the linear biasing ansatz, their relative bias factors. Using optical SSRS2 galaxies, IRAS (PSCz) galaxies and Abell/ACO clusters, we find bO,I ≈ 1.21 ± 0.06 and bC,I ≈ 4.3 ± 0.8, in agreement with...

A New Statistical Approach for Recognizing and Classifying Patterns of Control Charts (RESEARCH NOTE)

Control chart pattern (CCP) recognition techniques are widely used to identify the potential process problems in modern industries. Recently, artificial neural network (ANN) –based techniques are very popular to recognize CCPs. However, finding the suitable architecture of an ANN-based CCP recognizer and its training process are time consuming and tedious. In addition, because of the black box ...

Augmented Statistical Models for Classifying Sequence Data

Classifying Galaxy Morphology using Machine Learning

The goal of this project is to classify galaxy morphologies. Generally, galaxy morphologies fall into one of two categories: "early types" (elliptical galaxies) and spiral galaxies, like the Milky Way. Additionally, a celestial object of interest may be categorized as neither, which usually corresponds to an image of a point source (e.g. a star) or to an artifact of the data. Although humans ar...