The ALMA that started its operation in 2011 has significantly high sensitivity and spatial resolution in millimeter and sub-millimeter waveband and expected to introduce a breakthrough on solar system remote sensing. Use of calibration data accumulated during every observations enable us to obtain the vast amount of solar system astronomical data. In turn, the total amount of data is quite large and all of the data need to be processed to see if the data is suitable for the scientific analysis. Therefore, we attempted to construct an automated ALMA data processing system and a new computer system specified for the conversion of ALMA calibration data into the scientific data. As a result, we succeeded to construct the automated data processing system that produces fits cube file and quick-look data of spectrum and 2-D brightness map, and to process the whole data of Neptune above Band 6. In addition, introducing a new SAS storage that enables both capacity, scalability and high-speed access succeeded to reduce the time required for calibration process to similar to 19-36% comparing with a standard NAS storage installed on 1 Gbps LAN network. A parallel data calibration system also decreased the processing time up to approximately 13%. In summary, we succeeded to draw a path for the comprehensive analysis of ALMA calibration data in a realistic machine-time.
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