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SMD Technology HighlightsSeven technology highlights from the Science Mission Directorate (SMD) Astrophysics, Planetary Science, Heliophysics, and Biological and Physical Sciences, and Earth Science divisions are featured:
1. Technology using precisely controlled ultraviolet light source that to suppress electrostatic noise in gravitational wave observatories
2. New micro-shutter technology that will enable space telescopes to perform spectroscopy on a large number of objects simultaneously
3. An optical seismometer that is micro-fabricated, easy to manufacture, immune to radiation damage, and operates with low power consumption to characterize ice sheets and mantle on icy worlds
4. Rediscovering the lost art of fluxgate magnetometer cores
5. Innovative technology to measure muscle strength of worms in space to prepare astronauts for future missions
6. A new state-of-the-art sensor and satellite platform to enable continued monitoring of Earth’s radiant energy system
7. Novel Algorithms to merge ground- and space-based data to forecast air pollution events
Document ID
20210015933
Acquisition Source
Headquarters
Document Type
Contribution to a larger work
Authors
Florence Wee Ming Tan
(National Aeronautics and Space Administration Washington D.C., District of Columbia, United States)
Date Acquired
May 21, 2021
Publication Date
May 20, 2021
Publication Information
Publication: SMD Technology Highlights
Publisher: SMD
Subject Category
Space Sciences (General)
Funding Number(s)
WBS: 615287.01.10
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Technical Management
Keywords
ultraviolet
electrostatic noise
gravitational wave observation
micro-shutter
space telescopes
spectroscopy
simultaneous observations
optical seismometer
micro-fabricated
immune to radiation damage
low power
characterize ice sheets
icy worlds
fluxgate
magnetometer cores
muscle strength of worms
astronaut studies
continuity measurements
radiant energy system
algorithm to forecast air pollution events
ground and space data algorithms
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