Automating X-ray Fluorescence Analysis for Rapid Astrobiology Surveys-Reference-Cited by-同舟云学术

Automating X-ray Fluorescence Analysis for Rapid Astrobiology Surveys

Published:2015-11 Issue:11 Volume:15 Page:961-976
ISSN:1531-1074
Container-title:Astrobiology
language:en
Short-container-title:Astrobiology

Author:

Thompson David R.¹²,Flannery David T.¹³,Lanka Ravi¹⁴,Allwood Abigail C.¹³,Bue Brian D.¹⁴,Clark Benton C.⁵,Elam W. Timothy⁶,Estlin Tara A.¹⁴,Hodyss Robert P.¹⁷,Hurowitz Joel A.⁸,Liu Yang¹⁹,Wade Lawrence A.¹¹⁰

Affiliation:

1. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California.

2. Imaging Spectroscopy, Jet Propulsion Laboratory, California Institute of Technology.

3. Planetary Chemistry and Astrobiology, Jet Propulsion Laboratory, California Institute of Technology.

4. Machine Learning and Instrument Autonomy, Jet Propulsion Laboratory, California Institute of Technology.

5. Space Science Institute, Boulder, Colorado.

6. Applied Physics Laboratory, University of Washington, Seattle, Washington.

7. Planetary Ices, Jet Propulsion Laboratory, California Institute of Technology.

8. Department of Geosciences, Stony Brook University, Stony Brook, New York.

9. Geophysics and Planetary Geosciences, Jet Propulsion Laboratory, California Institute of Technology.

10. Instrument System Engineering, Jet Propulsion Laboratory, California Institute of Technology.

Publisher

Mary Ann Liebert Inc

Subject

Space and Planetary Science,Agricultural and Biological Sciences (miscellaneous)

Link

http://www.liebertpub.com/doi/pdf/10.1089/ast.2015.1349

Reference25 articles.

1. AkkucukU. (2004) Nonlinear mapping: approaches based on optimizing an index of continuity and applying classical metric MDS on revised distances. PhD dissertation, Rutgers University, New Brunswick, NJ.

2. X-Ray Wavelengths

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