Hiroshi Yanaka

Visualization of geochemical data for rocks and sediments in Google Earth: Development of a data converter application for geochemical and isotopic data sets in database systems

We developed a Keyhole Markup Language (KML) generator for converting geochemical and isotopic data sets for rocks and sediments stored in database systems into KML. Our program allows users to visualize geochemical or isotopic data easily in Google Earth. The generator accepts data files produced by the database systems PetDB, SedDB, GEOROC, and GANSEKI. The data are plotted three-dimensionally as a bar graph on the surface of the virtual Earth at the sampling site. This type of visual presentation, including information on sample localities, directly shows the distribution of isotopic or compositional anomalies of specific samples on the Earths surface. We provide a Web application for the generator, so anyone can set the parameters for visualization over the Internet. With other KML generators we developed earlier, geochemical data can be overlain on a seismic tomographic model. This overlay image can provide information on the origin of samples in the tomographic model.

Data analysis environment (DASH2000) for the Subaru telescope

New framework of data analysis system (DASH) has been developed for the SUBARU Telescope. It is designed using object-oriented methodology and adopted a restaurant model. DASH shares the load of CPU and I/O among distributed heterogeneous computers. The distributed object environment of the system is implemented with JAVA and CORBA. DASH has been evaluated by several prototypings. DASH2000 is the latest version, which will be released as the beta version of data analysis system for the SUBARU Telescope.

Prototype of distributed analysis software hierarchy for the Subaru Telescope

We are developing a data reduction and analysis system DASH for efficient data processing of the SUBARU telescope. We adopted CORBA as a distributed object environment and Java for a user interface in the prototype of DASH. Moreover, we introduced a data reduction procedure cube as a kind of visual procedure script.