Back to Search Start Over

Post-Landing Major Element Quantification Using SuperCam Laser Induced Breakdown Spectroscopy

Authors :
Ryan B Anderson
Olivier Forni
Agnes Cousin
Roger C Wiens
Samuel M Clegg
Jens Frydenvang
Travis S J Gabriel
Ann M Ollila
Susanne Schroder
Olivier Beyssac
Erin Gibbons
David S Vogt
Elise Clave
Jose-Antonio Manrique
Carey Legett IV
Paolo Pilleri
Raymond T Newell
Joseph Sarao
Sylvestre Maurice
Gorka Arana
Karim Benzerara
Pernelle Bernardi
Sylvian Bernard
Bruno Bousquet
Adrian J Brown
Cesar-Alvarez Llamas
Baptiste Chide
Edward Cloutis
Jade Comellas
Stephanie Connell
Erwin Dehouck
Dorothea M Delapp
Ari Essunfeld
Cecile Fabre
Thierry C Fouchet
Cristina Garcia-Florentino
Laura Garcia-Gomez
Patrick Gasda
Olivier Gasnault
Elisabeth Hausrath
Nina L Lanza
Javier Laserna
Jeremie Lasue
Guillermo Lopez
Juan Manuel Madariaga
Lucia Mandon
Nicolas Mangold
Pierre-Yves Meslin
Anthony E Nelson
Horton Newsom
Adriana L Reyes-Newell
Scott Robinson
Fernando Rull
Shiv Sharma
Justin I Simon
Pablo Sobron
Imanol Torre Fernandez
Arya Udry
Dawn Venhaus
Scott M McLennan
Richard V Morris
Bethany Ehlmann
Source :
Spectrochimica Acta Part B: Atomic Spectroscopy. 188
Publication Year :
2021
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2021.

Abstract

The SuperCam instrument on the PerseveranceMars 2020 rover uses a pulsed 1064 nm laser to ablate targets at a distance and conduct laser induced breakdown spectroscopy (LIBS) by analyzing the light from the resulting plasma. SuperCam LIBS spectra are preprocessed to remove ambient light, noise, and the continuum signal present in LIBS observations. Prior to quantification, spectra are masked to remove noisier spectrometer regions andspectra are normalized to minimize signal fluctuations and effectsof target distance.In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositionsof diverse geologic materials at Jezero crater, Mars, we use a suite of 1198 laboratory spectra of 334 well-characterized reference samples. The samples were selected to span a wide range of compositions and include typical silicate rocks, pure minerals (e.g.,silicates, sulfates, carbonates, oxides),more unusual compositions (e.g.,Mn oreand sodalite), andreplicates of the sintered SuperCam calibration targets (SCCTs) onboardthe rover. For each major element (SiO2, TiO2, Al2O3, FeOT, MgO, CaO, Na2O, K2O), the database was subdivided into five“folds” with similar distributions of the element of interest. One fold was held out as an independent test set, and the remaining fourfolds were used to optimize multivariate regression models relating the spectrum to the composition. We considered a variety of models, and selected several for further investigation for each element, based primarily on the root mean squared error of prediction (RMSEP) on the test set, when analyzed at 3m. In cases with several models of comparable performance at 3 m, we incorporated the SCCT performance at different distances to choose the preferred model. Shortly after landing on Mars and collecting initial spectra of geologic targets, we selected one model per element. Subsequently, with additional data from geologic targets, some models were revised to ensure results that are more consistent with geochemical constraints. The calibration discussed here is a snapshot of an ongoing effort to deliver the most accurate chemical compositions with SuperCam LIBS.

Subjects

Subjects :
Geosciences (General)

Details

Language :
English
ISSN :
05848547
Volume :
188
Database :
NASA Technical Reports
Journal :
Spectrochimica Acta Part B: Atomic Spectroscopy
Notes :
203959, , 971200
Publication Type :
Report
Accession number :
edsnas.20220000028
Document Type :
Report
Full Text :
https://doi.org/10.1016/j.sab.2021.106347