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		| Paper: | 
		Demonstration of a Data Distribution System for ALMA  Data Cubes | 
	 
	
		| Volume: | 
		485, Astronomical Data Analysis Software and Systems XXIII | 
	 
	
		| Page: | 
		7 | 
	 
	
		| Authors: | 
		Eguchi, S.; Kawasaki, W.; Shirasaki, Y.; Komiya, Y.; Kosugi, G.; Ohishi, M.; Mizumoto, Y.; Kobayashi, T. | 
	 
	
	
		| Abstract: | 
		The Atacama Large Millimeter / submillimeter Array (ALMA) is the world's
 largest radio telescope in Chile.  As a part of Japanese Virtual
 Observatory (JVO) system, we have been constructing a prototype of data
 service to distribute ALMA data, which are three or four dimensional
 cubes and expected to exceed 2 TB in total size, corresponding to 75
 days at world-averaged Internet bandwidth of 2.6 Mbps, in the next three
 years.  To utilize the limited bandwidth, our system adopts a higher
 dimensional version of so-called "deep zoom": the system generates and
 stores lower resolution FITS data cubes with various binning parameters
 in directions of both space and frequency.  Users of our portal site can
 easily visualize and cut out those data cubes by using ALMAWebQL, which
 is a web application built on customized GWT.  Once the FITS files are
 downloaded via ALMAWebQL, one can visualize them in more detail using
 Vissage, a Java-based FITS cube browser.  We exhibited our web and
 desktop viewer “fresh from the oven” at the last ADASS conference
 (Shirasaki et al. 2013).  Improvement of their performance and
 functionality after that made the system nearly to a practical level.
 The performance problem of ALMAWebQL reported last year
 (Eguchi et al. 2013) was overcome by optimizing the network topology and
 applying the just-in-time endian conversion algorithm; the latest
 ALMAWebQL can follow up any user actions almost in real time for files
 smaller than 5 GB.  It also enables users to define either a sub-region
 or sub-frequency range and move it freely on the graphical user
 interface, providing more detailed information of the FITS file.  In
 addition, the latest Vissage now supports data from other telescopes
 including HST, Subaru, Chandra, etc. and overlaying two images.  In this
 paper, we introduce the latest version of our VO system.  | 
	 
	
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