Elastic Scattering of 6^6He based on a Cluster Description

Elastic scattering observables (differential cross section and analyzing power) are calculated for the reaction $^6$He(p,p)$^6$He at projectile energies starting at 71 MeV/nucleon. The optical potential needed to describe the reaction is derived describing $^6$He in terms of a $^4$He-core and two neutrons. The Watson first order multiple scattering ansatz is extended to accommodate the internal dynamics of a composite cluster model for the $^6$He nucleus scattering from a nucleon projectile. The calculations are compared with the recent experiments at the projectile energy of 71 MeV/nucleon. In addition, differential cross sections and analyzing powers are calculated at selected higher energies.Comment: To be published in Phy. Rev.

A Cloud-based Messaging Service for Cross-Enterprise Data Exchange with Smart Objects

In this paper, we explore common communication needs for the rapidly increasing number of Internet-connected devices, which are appearing in a growing number of domains. We argue that with the rise of these smart objects business cooperation will increase. So-called smart meters then serve as example that a direct and flexible information exchange across enterprise boundaries, markets and even industries is needed. Based on experiences from integration projects and qualitative interviews with experts we deduce key requirements for an abstract communication system. We then map established communication paradigms to these requirements and finally introduce a cloud-based communication system for smart objects we call Virtual Object Warehousing Service. We explore its key characteristics and conclude by providing an outlook how such a general-purpose cloud-based messaging service could satisfy the communication needs of smart objects

Ab initio Folding Potentials for Nucleon-Nucleus Scattering based on NCSM One-Body Densities

Calculating microscopic optical potentials for elastic nucleon-nucleus scattering has already led to large body of work in the past. For folding first-order calculations the nucleon-nucleon (NN) interaction and the one-body density of the nucleus were taken as input to rigorous calculations in a spectator expansion of the multiple scattering series. Based on the Watson expansion of the multiple scattering series we employ a nonlocal translationally invariant nuclear density derived from a chiral next-to-next-to-leading order (NNLO) and the very same interaction for consistent full-folding calculation of the effective (optical) potential for nucleon-nucleus scattering for light nuclei. We calculate scattering observables, such as total, reaction, and differential cross sections as well as the analyzing power and the spin-rotation parameter, for elastic scattering of protons and neutrons from $^4$He, $^{6}$He, $^{12}$C, and $^{16}$O, in the energy regime between 100 and 200~MeV projectile kinetic energy, and compare to available data. Our calculations show that the effective nucleon-nucleus potential obtained from the first-order term in the spectator expansion of the multiple scattering expansion describes experiments very well to about 60 degrees in the center-of-mass frame, which coincides roughly with the validity of the NNLO chiral interaction used to calculate both the NN amplitudes and the one-body nuclear density.Comment: 10 pages, 14 figures, 1 tabl

A Profit-Maximizing Method for the Partitioning of Embedded Software Features in Motor Vehicles

As the system design of in-car embedded systems becomes more and more modular and motor vehicles get increasingly connected to enterprise systems based on Car-2-X technology, the integration of additional embedded software features becomes technically feasible throughout the product lifecycle. For car manufacturers, this opens up the opportunity to sell additional embedded software features to their customers at a later time, thus generating subsequent revenue in addition to the initial sale. However, due to the competitive environment and customer preferences, it is impossible to apply this concept to the complete feature set. In order to support the decision, which features should be included in a shipped product and which features should be retained to generate subsequent revenue, we propose a profit-maximizing method that identifies two complementary feature bundles. To illustrate our approach, we present a numerical example, which illustrates the partitioning of embedded software features in motor vehicles