Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends. / Wiens, Roger C.; Blazon-Brown, Alyre J.; Melikechi, Noureddine; Frydenvang, Jens; Dehouck, Erwin; Clegg, Samuel M.; Delapp, Dot; Anderson, Ryan B.; Cousin, Agnes; Maurice, Sylvestre.

In: Spectrochimica Acta - Part B Atomic Spectroscopy, Vol. 182, 106247, 2021.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Wiens, RC, Blazon-Brown, AJ, Melikechi, N, Frydenvang, J, Dehouck, E, Clegg, SM, Delapp, D, Anderson, RB, Cousin, A & Maurice, S 2021, 'Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends', Spectrochimica Acta - Part B Atomic Spectroscopy, vol. 182, 106247. https://doi.org/10.1016/j.sab.2021.106247

APA

Wiens, R. C., Blazon-Brown, A. J., Melikechi, N., Frydenvang, J., Dehouck, E., Clegg, S. M., Delapp, D., Anderson, R. B., Cousin, A., & Maurice, S. (2021). Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends. Spectrochimica Acta - Part B Atomic Spectroscopy, 182, [106247]. https://doi.org/10.1016/j.sab.2021.106247

Vancouver

Wiens RC, Blazon-Brown AJ, Melikechi N, Frydenvang J, Dehouck E, Clegg SM et al. Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends. Spectrochimica Acta - Part B Atomic Spectroscopy. 2021;182. 106247. https://doi.org/10.1016/j.sab.2021.106247

Author

Wiens, Roger C. ; Blazon-Brown, Alyre J. ; Melikechi, Noureddine ; Frydenvang, Jens ; Dehouck, Erwin ; Clegg, Samuel M. ; Delapp, Dot ; Anderson, Ryan B. ; Cousin, Agnes ; Maurice, Sylvestre. / Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends. In: Spectrochimica Acta - Part B Atomic Spectroscopy. 2021 ; Vol. 182.

Bibtex

@article{df6be295b0264aa29eeafacfbffb30be,
title = "Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends",
abstract = "The ChemCam instrument on the Curiosity rover provides chemical compositions of Martian rocks and soils using remote laser-induced breakdown spectroscopy (LIBS). The elemental calibration is stable as a function of distance for Ti, Fe, Mg, and Ca. The calibration shows small, systematically increasing abundance trends as a function of distance for Al, Na, K, and to some extent, Si. The distance effect is known to be due to a dependence with distance on the relative strengths of atomic transition lines. Emission lines representing transitions from relatively low energy levels remain intense at longer distances while emission lines representing transitions from higher energy levels decrease in intensity more rapidly as a function of distance. The multivariate algorithms used to determine elemental compositions rely on a large number of emission lines in many cases, so rather than trying to correct all emission lines, a study was made of the predicted compositions as a function of distance, in order to determine an empirical correction. Abundance trends can be well approximated by a linear trend with distance within the ranges of abundances and distances observed up to ~6 m. Data from 11 distinct geological members and data groups of the Murray formation in Gale crater, Mars, were used to form the model, selecting the members and data groups yielding the best statistics. The model was tested using data from several targets observed from two different distances, and using data from the Kimberley formation, the composition of which is significantly different from the Murray formation, showing that the model works on other compositions beyond those used to build the model. For long-distance observations up to ~6 m, corrections can be made back to an equivalent composition at the median distance of ChemCam observations (2.6 m). The model has been validated up to 6.2 m, although ChemCam is able to observe bedrock targets to >7 m, and iron meteorites to distances of >9 m.",
keywords = "ChemCam, Curiosity rover, LIBS, Mars, Stand-off elemental analyses",
author = "Wiens, {Roger C.} and Blazon-Brown, {Alyre J.} and Noureddine Melikechi and Jens Frydenvang and Erwin Dehouck and Clegg, {Samuel M.} and Dot Delapp and Anderson, {Ryan B.} and Agnes Cousin and Sylvestre Maurice",
note = "Publisher Copyright: {\textcopyright} 2021 Elsevier B.V.",
year = "2021",
doi = "10.1016/j.sab.2021.106247",
language = "English",
volume = "182",
journal = "Spectrochimica Acta Part B: Atomic Spectroscopy",
issn = "0584-8547",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Improving ChemCam LIBS long-distance elemental compositions using empirical abundance trends

AU - Wiens, Roger C.

AU - Blazon-Brown, Alyre J.

AU - Melikechi, Noureddine

AU - Frydenvang, Jens

AU - Dehouck, Erwin

AU - Clegg, Samuel M.

AU - Delapp, Dot

AU - Anderson, Ryan B.

AU - Cousin, Agnes

AU - Maurice, Sylvestre

N1 - Publisher Copyright: © 2021 Elsevier B.V.

PY - 2021

Y1 - 2021

N2 - The ChemCam instrument on the Curiosity rover provides chemical compositions of Martian rocks and soils using remote laser-induced breakdown spectroscopy (LIBS). The elemental calibration is stable as a function of distance for Ti, Fe, Mg, and Ca. The calibration shows small, systematically increasing abundance trends as a function of distance for Al, Na, K, and to some extent, Si. The distance effect is known to be due to a dependence with distance on the relative strengths of atomic transition lines. Emission lines representing transitions from relatively low energy levels remain intense at longer distances while emission lines representing transitions from higher energy levels decrease in intensity more rapidly as a function of distance. The multivariate algorithms used to determine elemental compositions rely on a large number of emission lines in many cases, so rather than trying to correct all emission lines, a study was made of the predicted compositions as a function of distance, in order to determine an empirical correction. Abundance trends can be well approximated by a linear trend with distance within the ranges of abundances and distances observed up to ~6 m. Data from 11 distinct geological members and data groups of the Murray formation in Gale crater, Mars, were used to form the model, selecting the members and data groups yielding the best statistics. The model was tested using data from several targets observed from two different distances, and using data from the Kimberley formation, the composition of which is significantly different from the Murray formation, showing that the model works on other compositions beyond those used to build the model. For long-distance observations up to ~6 m, corrections can be made back to an equivalent composition at the median distance of ChemCam observations (2.6 m). The model has been validated up to 6.2 m, although ChemCam is able to observe bedrock targets to >7 m, and iron meteorites to distances of >9 m.

AB - The ChemCam instrument on the Curiosity rover provides chemical compositions of Martian rocks and soils using remote laser-induced breakdown spectroscopy (LIBS). The elemental calibration is stable as a function of distance for Ti, Fe, Mg, and Ca. The calibration shows small, systematically increasing abundance trends as a function of distance for Al, Na, K, and to some extent, Si. The distance effect is known to be due to a dependence with distance on the relative strengths of atomic transition lines. Emission lines representing transitions from relatively low energy levels remain intense at longer distances while emission lines representing transitions from higher energy levels decrease in intensity more rapidly as a function of distance. The multivariate algorithms used to determine elemental compositions rely on a large number of emission lines in many cases, so rather than trying to correct all emission lines, a study was made of the predicted compositions as a function of distance, in order to determine an empirical correction. Abundance trends can be well approximated by a linear trend with distance within the ranges of abundances and distances observed up to ~6 m. Data from 11 distinct geological members and data groups of the Murray formation in Gale crater, Mars, were used to form the model, selecting the members and data groups yielding the best statistics. The model was tested using data from several targets observed from two different distances, and using data from the Kimberley formation, the composition of which is significantly different from the Murray formation, showing that the model works on other compositions beyond those used to build the model. For long-distance observations up to ~6 m, corrections can be made back to an equivalent composition at the median distance of ChemCam observations (2.6 m). The model has been validated up to 6.2 m, although ChemCam is able to observe bedrock targets to >7 m, and iron meteorites to distances of >9 m.

KW - ChemCam

KW - Curiosity rover

KW - LIBS

KW - Mars

KW - Stand-off elemental analyses

U2 - 10.1016/j.sab.2021.106247

DO - 10.1016/j.sab.2021.106247

M3 - Journal article

AN - SCOPUS:85110118822

VL - 182

JO - Spectrochimica Acta Part B: Atomic Spectroscopy

JF - Spectrochimica Acta Part B: Atomic Spectroscopy

SN - 0584-8547

M1 - 106247

ER -

ID: 275433845