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      Laying the Groundwork for the Development of the Data Archive of the New Robotic Telescope

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          Abstract

          The Liverpool Telescope has been in fully autonomous operation since 2004. The supporting data archive facility has largely been untouched. The data provision service has not been an issue although some modernisation of the system is desirable. This project is timely. Not only does it suit the upgrade of the current LT data archive, it is in line with the design phase of the New Robotic Telescope which will be online in the early-2020s; and with the development of a new data archive facility for a range of telescopes at the National Astronomical Research Institute of Thailand. The Newton Fund enabled us to collaborate in designing a new versatile generic system that serves all purposes. In the end, we conclude that a single system would not meet the needs of all parties and only adopt similar front-ends while the back-ends are bespoke to our respective systems and data-flows.

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          D³: Data-Driven Documents.

          Data-Driven Documents (D3) is a novel representation-transparent approach to visualization for the web. Rather than hide the underlying scenegraph within a toolkit-specific abstraction, D3 enables direct inspection and manipulation of a native representation: the standard document object model (DOM). With D3, designers selectively bind input data to arbitrary document elements, applying dynamic transforms to both generate and modify content. We show how representational transparency improves expressiveness and better integrates with developer tools than prior approaches, while offering comparable notational efficiency and retaining powerful declarative components. Immediate evaluation of operators further simplifies debugging and allows iterative development. Additionally, we demonstrate how D3 transforms naturally enable animation and interaction with dramatic performance improvements over intermediate representations. © 2010 IEEE
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            Author and article information

            Journal
            03 October 2018
            Article
            10.1117/12.2311883
            1810.01745
            22bae9dc-fc6b-4756-96ca-30b68a757c60

            http://arxiv.org/licenses/nonexclusive-distrib/1.0/

            History
            Custom metadata
            Proc. SPIE 10707, Software and Cyberinfrastructure for Astronomy V, 1070721 (6 July 2018)
            11 pages, 3 tables
            astro-ph.IM

            Instrumentation & Methods for astrophysics
            Instrumentation & Methods for astrophysics

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