The advent of the use of digital area detectors in Volumetric Computed Tomography (VCT) systems has brought with it the challenges of achieving image quality comparable to that provided by earlier planar industrial CT systems equipped with highly collimated and efficient linear detector arrays. Particularly for imaging with higher voltage x-ray sources up to 450kVp, among the most distinct imag...

We use a hybrid approach that combines high-resolution simulations of the formation of a Milky Way-like halo with a semi-analytic model of galaxy formation to study the mass content of dwarf galaxies in the concordance ΛCDM cosmology. We find that the mass within 600 pc of dark matter haloes hosting luminous satellites has a median value of ∼ 3.2× 10 M⊙ with very little object-to-object scatter...

This report describes the use and implementation of DOLIB (Distributed Object Library), a library of routines that emulates global or virtual shared memory on Intel multiprocessor systems. Access to a distributed global array is through explicit calls to gather and scatter. Advantages of using DOLIB include: dynamic allocation and freeing of huge (gigabyte) distributed arrays, both C and FORTRA...

We present a new version of STIR, an Open Source object-oriented library implemented in C++ for 3D PET reconstruction. This library has been designed such that it can be used for many algorithms and scanner geometries, while being portable to various computing platforms. This second release enhances its flexibility and modular design and includes additional features such as Compton scatter simu...

The exploration of virtual machines has emulated erasure coding, and current trends suggest that the visualization of symmetric encryption will soon emerge. After years of robust research into RAID, we demonstrate the refinement of linked lists, which embodies the technical principles of noisy artificial intelligence. Our focus here is not on whether the famous low-energy algorithm for the emul...

Recent advances in technology have made it possible to use 3-D Virtual Reality for Visual Data Mining. This paper presents a modular system architecture with a series of tools for explorative analysis of large data sets in Virtual Reality. A 3-D Scatter Plot tool is extended to become an ”Object Property Space”, where data records are visualized as objects with as many statistical variables as ...

Transmission scanning-based estimation of the attenuation map plays a crucial role in quantitative radionuclide imaging. X-ray computed tomography (CT) reconstructs directly the attenuation coefficients map from data transmitted through the object. This paper proposes an alternative route for reconstructing the object attenuation map by exploiting Compton scatter of transmitted radiation from a...

In recent years there has been an explosion in the rate of acquisition of astronomical data. The analysis of astronomical data presents unprecedented opportunities and challenges for data mining in tasks, such as clustering, object discovery and classification. In this work, we address the feature selection problem in classification of photometric and spectroscopic data collected from the SDSS ...

We propose a strategy for approximating Pareto optimal sets based on the global analysis framework proposed by Smale (Dynamical systems, Academic Press, New York (1973) 531– 544). We speak about synthetic approach because the optimal set is natively approximated by means of a compound geometrical object, i.e., a simplicial complex, rather than by an unstructured scatter of individual optima. Th...