In aviation museums throughout the United States, World War II aircraft have become crucial objects in shaping a narrative of memorial for millions of people. The museums' warehousing function allows them to be both the long‐term home of these wondrous and resonant airplanes, and the collective “hangar” of our commemorations. These museums offer reasons for serious study, since in many respects our mental images of World War II are constructed within aviation museums. This article explores the narrative of memorial through illustrations from four representative institutions, and examines one of the anomalies, the case of the Enola Gay.
A prototype of a component-based beam dynamics application has been developed. The Common Component Architecture (CCA) [5] software infrastructure was used to compose a new Python-steered, FODO-cell simulation from a set of beamline elements provided by MaryLie/IM-PACT (ML/I) [1]. The prototyped FODO-cell simulation is preparatory work for a larger, ongoing effort to model collective effects using a component-based version of the Synergia2 [12] beam dynamics framework. Synergia2 coordinates a suite of modeling services provided by two separate beam dynamics packages (Impact [10] and Chef) and two high-performance computer science packages (PETSc [3] and FFTW [7]). The development of the proof-of-concept application was accomplished via the following tasks: 1) addressing multilanguage interoperability in the ML/I code with Babel; 2) creating the necessary components by making the selected software objects adhere to the CCA protocol; and 3) assemblying the components with a newly developed, Component Builder gui. The eventual, component-based beam dynamics application will allow the Synergia2 framework to evolve simultaneously with the modeling and simulation requirements of the International Linear Collider (ILC).
SciDAC has had a major impact on computational beam dynamics and the design of particle accelerators. Particle accelerators --which account for half of the facilities in the DOE Office of Science Facilities for the Future of Science 20 Year Outlook --are crucial for US scientific, industrial, and economic competitiveness. Thanks to SciDAC, accelerator design calculations that were once thought impossible are now carried routinely, and new challenging and important calculations are within reach. SciDAC accelerator modeling codes are being used to get the most science out of existing facilities, to produce optimal designs for future facilities, and to explore advanced accelerator concepts that may hold the key to qualitatively new ways of accelerating charged particle beams. In this poster we present highlights from the SciDAC Accelerator Science and Technology (AST) project Beam Dynamics focus area in regard to algorithm development, software development, and applications.
Synergia2 is a beam dynamics modeling and simulation application for high-energy accelerators such as the Tevatron at Fermilab and the International Linear Collider, which is now under planning and development. Synergia2 is a hybrid, multilanguage software package comprised of two separate accelerator physics packages (Synergia and MaryLie/Impact) and one high-performance computer science package (PETSc). We describe our approach to producing a set of beam dynamics-specific software components based on the Common Component Architecture specification. Among other topics, we describe particular experiences with the following tasks: using Python steering to guide the creation of interfaces and to prototype components; working with legacy Fortran codes; and an example component-based, beam dynamics simulation.
The concept of separation of concerns is fundamental to the practice of software development. In recent years, research into advanced techniques for separating concerns has been very active. Aspectoriented programming has emerged from this research. Among the key features of aspect-oriented programming is the ability to modularize tangled and crosscutting concerns. This workshop course provides computer science students with an overview of current thinking in advanced separation of concerns. Students are introduced to the relevant concepts in the context of the scripting language Python. The development of web-based applications is used as a problem domain for the workshop.
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