Presentation + Paper
25 August 2022 DRAW in the US Extremely large Telescope Program Platform
Marie Lemoine-Busserolle, Mark E. Dickinson, Adam S. Bolton, André-Nicolas Chené, Beth Willman, Dara J. Norman, Andrew W. Serio, Steven Berukoff, Christophe Dumas, Robert W. Goodrich, Gelys Trancho
Author Affiliations +
Abstract
The US Extremely Large Telescope Program (US-ELTP) will enable all US astronomers to carry out transformational research that takes full advantage of the diverse capabilities of both the Giant Magellan Telescope (GMT) and the Thirty Meter Telescope (TMT) as parts of a two-hemisphere system. The US-ELT Program Platform (UPP), the NSF’s NOIRLab software suite, will provide the majority of the services to support the entire Scientific Data Life Cycle (SDLC) from submission of proposals to data reduction, analysis, and publication. We present an overview of the high-level vision for the Data Reduction and Analysis Workspace (DRAW), as well as a description of its main functionalities, that will be part of the UPP. DRAW will provide data reduction services, data analysis tools, access to databases, and other services to the scientific community, including researchers at under-resourced institutions. DRAW’s purpose is to facilitate and support the creation, archival, and curation of GMT/TMT science data products and ensure their legacy value.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marie Lemoine-Busserolle, Mark E. Dickinson, Adam S. Bolton, André-Nicolas Chené, Beth Willman, Dara J. Norman, Andrew W. Serio, Steven Berukoff, Christophe Dumas, Robert W. Goodrich, and Gelys Trancho "DRAW in the US Extremely large Telescope Program Platform", Proc. SPIE 12186, Observatory Operations: Strategies, Processes, and Systems IX, 121860F (25 August 2022); https://doi.org/10.1117/12.2629616
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KEYWORDS
Data archive systems

Thirty Meter Telescope

Telescopes

Observatories

Visualization

Large telescopes

Data analysis

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