Due to the recent advancement of networking and high-performance computing technologies, scientists can easily access large-scale data captured by scientific measurement devices through a network, and use huge computational power harnessed on the Internet for their analyses of scientific data. However, visualization technology, which plays a role of great importance for scientists to intuitively understand the analysis results of such scientific data, is not fully utilized so that it can seamlessly benefit from recent high-performance and networking technologies. One of such visualization technologies is SAGE (Scalable Adaptive Graphics Environment), which allows people to build an arbitrarily sized tiled display wall and is expected to be applied to scientific research. In this paper, we present a multi-application controller for SAGE, which we have developed, in the hope that it will help scientists efficiently perform scientific research requiring high-performance computing and visualization. The evaluation in this paper indicates that the efficiency of completing a comparison task among multiple data is increased by our system.
At 14 MeV, it is known that the absolute value of large angle scattering cross section is small. The contribution is thus thought to be neglected in the neutronics design of fusion reactor. However, in case that a neutron source can be regarded as a beam like a neutron streaming, large angle scattering cross sections might affect the nuclear design result largely. In fact, in fusion neutronics benchmark experiments using a neutron beam so far, there was a difference observed between experiment and simulation. Also it is known that there are differences in large angle scattering cross sections among nuclear data libraries. Then we have been carrying out preliminary benchmark experiments for verification of large angle scattering reaction cross sections of iron for a few years. The purpose of the present study is to optimize the experimental system design to realize an accurate benchmarking of large angle scattering reaction cross sections. Finally, we reached the optimized experimental system and developed the experimental procedure which was supposed to perform more accurate benchmark experiments for large angle scattering reaction cross sections.
It is important to perform neutron transport simulations with accurate nuclear data in the neutronics design of a fusion reactor. However, absolute values of large-angle scattering cross sections vary among nuclear data libraries even for well-examined nuclide of iron. Benchmark experiments focusing on large-angle scattering cross sections were thus performed to confirm the correctness of nuclear data libraries. The series benchmark experiments were performed at a DT neutron source facility, OKTAVIAN of Osaka University, Japan, by the unique experimental system established by the authors' group, which can extract only the contribution of large-angle scattering reactions. This system consists of two shadow bars, target plate (iron), and neutron detector (niobium). Two types of shadow bars were used and four irradiations were conducted for one experiment, so that contribution of room-return neutrons was effectively removed and only large-angle scattering neutrons were extracted from the measured four Nb reaction rates. The obtained experimental results were compared with calculations for five nuclear data libraries including JENDL-4.0, JEFF.-3.
Recently, both networking and high-performance computing technologies have dramatically advanced. As a result, scientists can access large-scale data captured by scientific measurement devices with ease. Also, recent high-performance computing technologies such as the Grid and cloud computing have allowed scientists to use huge computational power harnessed on the Internet for their analysis of scientific data. However, visualization technology, which plays the role of great importance for scientists intuitively in understanding the analysis results of such scientific data, is not fully utilized so that it can benefit from recent high-performance and networking technologies although many sophisticated visualization technologies exists nowadays. One of such visualization technologies is SAGE (Scalable Adaptive Graphics Environment), which allows people to build an arbitrary size of a tiled display wall and is expected to be applied to scientific research. In this paper, we describe a multi-application controller for SAGE middleware, which we have developed, in the hope that it will help scientists perform their analysis on a wide-area distributed computing environment. The evaluation in the paper indicates the efficiency of completing a comparison task among multiple data is raised by our system.
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