Adaptive sampling with PIXL on the Mars Perseverance rover
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arXiv
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| Natura: | Preprint |
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2024
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| author | Lawson, Peter R. Kizovski, Tanya V. Tice, Michael M. Clark III, Benton C. VanBommel, Scott J. Thompson, David R. Wade, Lawrence A. Denise, Robert W. Heirwegh, Christopher M. Elam, W. Timothy Schmidt, Mariek E. Liu, Yang Allwood, Abigail C. Gilbert, Martin S. Bornstein, Benjamin J. |
| author_facet | Lawson, Peter R. Kizovski, Tanya V. Tice, Michael M. Clark III, Benton C. VanBommel, Scott J. Thompson, David R. Wade, Lawrence A. Denise, Robert W. Heirwegh, Christopher M. Elam, W. Timothy Schmidt, Mariek E. Liu, Yang Allwood, Abigail C. Gilbert, Martin S. Bornstein, Benjamin J. |
| contents | Planetary rovers can use onboard data analysis to adapt their measurement plan on the fly, improving the science value of data collected between commands from Earth. This paper describes the implementation of an adaptive sampling algorithm used by PIXL, the X-ray fluorescence spectrometer of the Mars 2020 Perseverance rover. PIXL is deployed using the rover arm to measure X-ray spectra of rocks with a scan density of several thousand points over an area of typically 5 x 7 mm. The adaptive sampling algorithm is programmed to recognize points of interest and to increase the signal-to-noise ratio at those locations by performing longer integrations. Two approaches are used to formulate the sampling rules based on past quantification data: 1) Expressions that isolate particular regions within a ternary compositional diagram, and 2) Machine learning rules that threshold for a high weight percent of particular compounds. The design of the rulesets are outlined and the performance of the algorithm is quantified using measurements from the surface of Mars. To our knowledge, PIXL's adaptive sampling represents the first autonomous decision-making based on real-time compositional analysis by a spacecraft on the surface of another planet. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_14471 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Adaptive sampling with PIXL on the Mars Perseverance rover Lawson, Peter R. Kizovski, Tanya V. Tice, Michael M. Clark III, Benton C. VanBommel, Scott J. Thompson, David R. Wade, Lawrence A. Denise, Robert W. Heirwegh, Christopher M. Elam, W. Timothy Schmidt, Mariek E. Liu, Yang Allwood, Abigail C. Gilbert, Martin S. Bornstein, Benjamin J. Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Planetary rovers can use onboard data analysis to adapt their measurement plan on the fly, improving the science value of data collected between commands from Earth. This paper describes the implementation of an adaptive sampling algorithm used by PIXL, the X-ray fluorescence spectrometer of the Mars 2020 Perseverance rover. PIXL is deployed using the rover arm to measure X-ray spectra of rocks with a scan density of several thousand points over an area of typically 5 x 7 mm. The adaptive sampling algorithm is programmed to recognize points of interest and to increase the signal-to-noise ratio at those locations by performing longer integrations. Two approaches are used to formulate the sampling rules based on past quantification data: 1) Expressions that isolate particular regions within a ternary compositional diagram, and 2) Machine learning rules that threshold for a high weight percent of particular compounds. The design of the rulesets are outlined and the performance of the algorithm is quantified using measurements from the surface of Mars. To our knowledge, PIXL's adaptive sampling represents the first autonomous decision-making based on real-time compositional analysis by a spacecraft on the surface of another planet. |
| title | Adaptive sampling with PIXL on the Mars Perseverance rover |
| topic | Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2405.14471 |