Bronze level automatically awarded US beta
This data has achieved Bronze level on 22 October 2015 which means this data makes a great start at the basics of publishing open data.
Deep UV Raman/Fluorescence (DUV-RF) Stand-Off Sensor for Lunar Science Project
Summary
- Type of release
- a one-off release of a single dataset
- Data Licence
- Not Applicable
- Content Licence
- Creative Commons CCZero
- Verification
- automatically awarded
- Release Date
- 9 April 2015
- Modified Date
- 8 July 2015
- Publishers
- National Aeronautics and Space Administration
- Keywords
- ames-research-center, completed, project
- Identifier
- deep-uv-raman-fluorescence-duv-rf-stand-off-sensor-for-lunar-science-project-54462
- Landing Page
- http://techport.nasa.gov/view/8689
- Maintainers
- TECHPORT SUPPORT hq-techport@mail.nasa.gov
- Language
- en-US
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Description
This Phase II proposal is to develop a miniature, low power consumption, fused deep UV Raman and native fluorescence (DUV-RF) 1 meter stand-off sensor. The proposed instrument has an enhanced ability to measure the spatial distribution of chemical species containing C/N/H/O/S/Cl, and water, ice, and hydrated-minerals on a 1-5 mm spatial scale enabled by a novel wide-aperture, high-sensitivity ultraminiature UV Raman spectrometer. Raman spectroscopy is a non-contact, non-destructive, method of identifying unknown materials without sample acquisition or processing; ideal for in-situ rovers. However traditional Raman instruments are plagued with fluorescence backgrounds, require sample altering, high-powered lasers, and require the use fiber optics; an instrument design with operational constraints and high power requirements. Our innovative instrument design incorporates our deep UV lasers for fiberless resonance Raman spectroscopy in a fluorescence free zone where resonance effects lead to enhancements by > 2-3orders of magnitude over 532 and 785 nm systems and can be coupled to native fluorescence for ppt detection of aromatic organics compounds. The New Frontiers has placed a South pole-Aitken Basin sample return as a future mission scenario. The enhanced detection capabilities of DUV-RF can be used to provide an understanding of organics and water distribution in the lunar regolith.
General Information
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This data is described at
http://catalog.data.gov/dataset/deep-uv-raman-fluorescence-duv-rf-stand-off-sensor-for-lunar-science-project-54462 Do you think this data is incorrect? Let us know
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This data is published by
National Aeronautics and Space Administration Do you think this data is incorrect? Let us know
Legal Information
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The rights statement is at
http://catalog.data.gov/dataset/deep-uv-raman-fluorescence-duv-rf-stand-off-sensor-for-lunar-science-project-54462 Do you think this data is incorrect? Let us know
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Outside the US, this data is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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There are
yes, and the rights are all held by the same person or organisation Do you think this data is incorrect? Let us know
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The content is available under
Creative Commons CCZero Do you think this data is incorrect? Let us know
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its data licence Do you think this data is incorrect? Let us know
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This data contains
no data about individuals Do you think this data is incorrect? Let us know
Practical Information
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The data appears in this collection
http://catalog.data.gov/organization/nasa-gov Do you think this data is incorrect? Let us know
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The accuracy or relevance of this data will
go out of date but it is timestamped Do you think this data is incorrect? Let us know
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The data is
backed up offsite Do you think this data is incorrect? Let us know
Technical Information
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This data is published at
http://techport.nasa.gov/xml-api/8689 Do you think this data is incorrect? Let us know
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This data is
machine-readable Do you think this data is incorrect? Let us know
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Find out how to contact someone about this data at
http://catalog.data.gov/dataset/deep-uv-raman-fluorescence-duv-rf-stand-off-sensor-for-lunar-science-project-54462 Do you think this data is incorrect? Let us know
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Find out how to suggest improvements to publication at
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