Development Of Data Processing Software Research Articles

Development of Data Processing Software for NBI Spectroscopic Analysis System**supported by National Natural Science Foundation of China (No. 11075183), the Chinese Academy of Sciences Knowledge Innovation

A set of data processing software is presented in this paper for processing NBI spectroscopic data. For better and more scientific managment and querying these data, they are managed uniformly by the NBI data server. The data processing software offers the functions of uploading beam spectral original and analytic data to the data server manually and automatically, querying and downloading all the NBI data, as well as dealing with local LZO data. The set software is composed of a server program and a client program. The server software is programmed in C/C++ under a CentOS development environment. The client software is developed under a VC 6.0 platform, which offers convenient operational human interfaces. The network communications between the server and the client are based on TCP. With the help of this set software, the NBI spectroscopic analysis system realizes the unattended automatic operation, and the clear interface also makes it much more convenient to offer beam intensity distribution data and beam power data to operators for operation decision-making.

Development of data processing software for a new TOF single crystal neutron diffractometer at J-PARC

We have developed new data processing software for a new time-of-flight (TOF) single crystal neutron diffractometer at the Materials and Life-science Facility (MLF) of the Japan Proton Accelerator Research Complex (J-PARC); IBARAKI Biomolecular Crystal Diffractometer (iBIX). This software, named “STARGazer”, makes a HKLF list from three-dimensional ( x, y, TOF) raw data of the iBIX. The STARGazer has both a data processing part and a data visualization part. The former part is a main part to make a HKLF list. This part has fundamental data processing functions and additional functions, real-space indexing, refinement of detector positions simultaneously with an UB matrix, and finding overlapping Bragg reflections, to process diffraction data of bio-macromolecular crystal which has large unit cell volumes. The latter part displays the three-dimensional raw data with predicted positions of Bragg reflections to confirm how well an obtained UB matrix fits to the raw data. In the near future, a function to process overlapping Bragg reflections based on a profile fitting technique will be added to the STARGazer.