Application of In-Memory Databases (IMDB) and Object-Oriented Programming (OOP) in material Micro Texture (MiTx) analysis from data collected by Energy Dispersive Laue Diffraction (EDLD) experiments using pnCCD cameras

Abstract

One of the most pioneering advantages of the Energy Dispersive X-ray Laue Diffraction (EDLD) is the one-shot experiment for investigation of polycrystalline materials. Using a 2D energy-dispersive detector, the EDLD is measuring simultaneous position- and energy signals. This makes the EDLD a cutting-edge experiment in Micro Texture (MiTx) characterization of polycrystalline materials. However, real-time analysis of the generated images requires innovative techniques to extract grain-wise structural information. Employing synchrotron radiation, high-performance computing, and data management approaches are required to perform one-shot experiments and on-the-fly analysis. In this article we show how the EDLD experimental analysis can be encapsulated with the fast-computing methodology of the in-memory database system, incorporating the cube architecture, and enhancing data accessibility and warehousing.