Major scientific and technological breakthroughs played a pivotal role in our ability to win the Cold War. The possibility of a different type of war, in response to terrorism, has long been recognized. Indeed, countermeasures to address specific terrorist acts have been developed and are deployed, for example, at special sporting and political events. The current threat environment, however, has created an intense and compelling set of concerns; consequently, the challenge to the scientific Community to develop new concepts and products on an accelerated timeframe is clear. Also, the spectrum of terrorist threats is broad. It includes the use of conventional, chemical, biological, and nuclear and radiological weapons, not to mention cyber-based attacks. The imperatives for advances have been amplified now that attacks are clearly possible within the U.S. borders. For example, advanced sensors and detectors that are able to monitor the proliferation of all the above warfare agents and their movement at entry points into the U.S. are clearly needed. The investments over the last decades in research and development efforts at the U.S. Department of Energy (DOE) national laboratories in nonproliferation have led unique technologies and detection capabilities that have proved useful; yet, many challenges remain. In particular, …

Run 2 of the Tevatron began in early 2001 after extensive upgrades to both the machine and the CDF and D0 detectors. For CDF, new tracking detectors, increased muon coverage, state-of-the-art front end electronics, pipelined triggering, and a complete overhaul of the DAQ have made it a very powerful tool to explore physics of all kinds. The status of CDF in Run 2 is presented, along with a first glimpse of CDF data.

We present an algorithm for end-to-end out-of-core simplification and view-dependent visualization of large surfaces. The method consists of three phases: (1) memory insensitive simplification; (2) memory insensitive construction of a level-of-detail hierarchy; and (3) run-time, output sensitive, view-dependent rendering and navigation of the mesh. The first two off-line phases are performed entirely on disk, and use only a small, constant amount of memory, whereas the run-time component relies on memory mapping to page in only the rendered parts of the mesh in a cache coherent manner. As a result, we are able to process and visualize arbitrarily large meshes given a sufficient amount of disk space--a constant multiple of the size of the input mesh. Similar to recent work on out-of-core simplification, our memory insensitive method uses vertex clustering on a uniform octree grid to coarsen a mesh and create a hierarchy, and a quadric error mettic to choose vertex positions at all levels of resolution. We show how the quadric information can be used to concisely represent vertex position, surface normal, error, and curvature information for anisotropic view-dependent coarsening and silhouette preservation. The focus of this paper is on the out-of-core construction of a level-of-detail hierarchy---our framework is general …

The authors present analytical expressions for the dynamic structure factor, or form factor S(k,{omega}), which is the quantity describing the inelastic x-ray cross section from a dense plasma or a simple liquid. The results, based on the random phase approximation (RPA) for the treatment on the charged particle coupling, can be applied to describe scattering from either weakly coupled classical plasmas or degenerate electron liquids. The form factor correctly reproduces the Compton energy downshift and the usual Fermi-Dirac electron velocity distribution for S(k,{omega}) in the case of a cold degenerate plasma. the usual concept of scattering parameter is also reinterpreted for the degenerate case in order to include the effect of the Thomas-Fermi screening. The results shown in this work can be applied to interpreting x-ray scattering in warm dense plasmas occurring in inertial confinement fusion experiments or inside the interior of planets.