Post-landing major element quantification using SuperCam laser induced breakdown spectroscopy
The SuperCam instrument on the Perseverance Mars 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...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Anderson, Ryan B. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Übergeordnetes Werk: |
Enthalten in: Dual stimuli-responsive polypeptide-calcium phosphate hybrid nanoparticles for co-delivery of multiple drugs in cancer therapy - Li, Qiang ELSEVIER, 2021, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:188 ; year:2022 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.sab.2021.106347 |
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ELV056579896 |
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| 520 | |a The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. | ||
| 520 | |a The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. | ||
| 700 | 1 | |a Forni, Olivier |4 oth | |
| 700 | 1 | |a Cousin, Agnes |4 oth | |
| 700 | 1 | |a Wiens, Roger C. |4 oth | |
| 700 | 1 | |a Clegg, Samuel M. |4 oth | |
| 700 | 1 | |a Frydenvang, Jens |4 oth | |
| 700 | 1 | |a Gabriel, Travis S.J. |4 oth | |
| 700 | 1 | |a Ollila, Ann |4 oth | |
| 700 | 1 | |a Schröder, Susanne |4 oth | |
| 700 | 1 | |a Beyssac, Olivier |4 oth | |
| 700 | 1 | |a Gibbons, Erin |4 oth | |
| 700 | 1 | |a Vogt, David S. |4 oth | |
| 700 | 1 | |a Clavé, Elise |4 oth | |
| 700 | 1 | |a Manrique, Jose-Antonio |4 oth | |
| 700 | 1 | |a Legett, Carey |4 oth | |
| 700 | 1 | |a Pilleri, Paolo |4 oth | |
| 700 | 1 | |a Newell, Raymond T. |4 oth | |
| 700 | 1 | |a Sarrao, Joseph |4 oth | |
| 700 | 1 | |a Maurice, Sylvestre |4 oth | |
| 700 | 1 | |a Arana, Gorka |4 oth | |
| 700 | 1 | |a Benzerara, Karim |4 oth | |
| 700 | 1 | |a Bernardi, Pernelle |4 oth | |
| 700 | 1 | |a Bernard, Sylvain |4 oth | |
| 700 | 1 | |a Bousquet, Bruno |4 oth | |
| 700 | 1 | |a Brown, Adrian J. |4 oth | |
| 700 | 1 | |a Alvarez-Llamas, César |4 oth | |
| 700 | 1 | |a Chide, Baptiste |4 oth | |
| 700 | 1 | |a Cloutis, Edward |4 oth | |
| 700 | 1 | |a Comellas, Jade |4 oth | |
| 700 | 1 | |a Connell, Stephanie |4 oth | |
| 700 | 1 | |a Dehouck, Erwin |4 oth | |
| 700 | 1 | |a Delapp, Dorothea M. |4 oth | |
| 700 | 1 | |a Essunfeld, Ari |4 oth | |
| 700 | 1 | |a Fabre, Cecile |4 oth | |
| 700 | 1 | |a Fouchet, Thierry |4 oth | |
| 700 | 1 | |a Garcia-Florentino, Cristina |4 oth | |
| 700 | 1 | |a García-Gómez, Laura |4 oth | |
| 700 | 1 | |a Gasda, Patrick |4 oth | |
| 700 | 1 | |a Gasnault, Olivier |4 oth | |
| 700 | 1 | |a Hausrath, Elisabeth M. |4 oth | |
| 700 | 1 | |a Lanza, Nina L. |4 oth | |
| 700 | 1 | |a Laserna, Javier |4 oth | |
| 700 | 1 | |a Lasue, Jeremie |4 oth | |
| 700 | 1 | |a Lopez, Guillermo |4 oth | |
| 700 | 1 | |a Madariaga, Juan Manuel |4 oth | |
| 700 | 1 | |a Mandon, Lucia |4 oth | |
| 700 | 1 | |a Mangold, Nicolas |4 oth | |
| 700 | 1 | |a Meslin, Pierre-Yves |4 oth | |
| 700 | 1 | |a Nelson, Anthony E. |4 oth | |
| 700 | 1 | |a Newsom, Horton |4 oth | |
| 700 | 1 | |a Reyes-Newell, Adriana L. |4 oth | |
| 700 | 1 | |a Robinson, Scott |4 oth | |
| 700 | 1 | |a Rull, Fernando |4 oth | |
| 700 | 1 | |a Sharma, Shiv |4 oth | |
| 700 | 1 | |a Simon, Justin I. |4 oth | |
| 700 | 1 | |a Sobron, Pablo |4 oth | |
| 700 | 1 | |a Fernandez, Imanol Torre |4 oth | |
| 700 | 1 | |a Udry, Arya |4 oth | |
| 700 | 1 | |a Venhaus, Dawn |4 oth | |
| 700 | 1 | |a McLennan, Scott M. |4 oth | |
| 700 | 1 | |a Morris, Richard V. |4 oth | |
| 700 | 1 | |a Ehlmann, Bethany |4 oth | |
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10.1016/j.sab.2021.106347 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001651.pica (DE-627)ELV056579896 (ELSEVIER)S0584-8547(21)00304-9 DE-627 ger DE-627 rakwb eng 540 VZ 42.15 bkl Anderson, Ryan B. verfasserin aut Post-landing major element quantification using SuperCam laser induced breakdown spectroscopy 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. Forni, Olivier oth Cousin, Agnes oth Wiens, Roger C. oth Clegg, Samuel M. oth Frydenvang, Jens oth Gabriel, Travis S.J. oth Ollila, Ann oth Schröder, Susanne oth Beyssac, Olivier oth Gibbons, Erin oth Vogt, David S. oth Clavé, Elise oth Manrique, Jose-Antonio oth Legett, Carey oth Pilleri, Paolo oth Newell, Raymond T. oth Sarrao, Joseph oth Maurice, Sylvestre oth Arana, Gorka oth Benzerara, Karim oth Bernardi, Pernelle oth Bernard, Sylvain oth Bousquet, Bruno oth Brown, Adrian J. oth Alvarez-Llamas, César oth Chide, Baptiste oth Cloutis, Edward oth Comellas, Jade oth Connell, Stephanie oth Dehouck, Erwin oth Delapp, Dorothea M. oth Essunfeld, Ari oth Fabre, Cecile oth Fouchet, Thierry oth Garcia-Florentino, Cristina oth García-Gómez, Laura oth Gasda, Patrick oth Gasnault, Olivier oth Hausrath, Elisabeth M. oth Lanza, Nina L. oth Laserna, Javier oth Lasue, Jeremie oth Lopez, Guillermo oth Madariaga, Juan Manuel oth Mandon, Lucia oth Mangold, Nicolas oth Meslin, Pierre-Yves oth Nelson, Anthony E. oth Newsom, Horton oth Reyes-Newell, Adriana L. oth Robinson, Scott oth Rull, Fernando oth Sharma, Shiv oth Simon, Justin I. oth Sobron, Pablo oth Fernandez, Imanol Torre oth Udry, Arya oth Venhaus, Dawn oth McLennan, Scott M. oth Morris, Richard V. oth Ehlmann, Bethany oth Enthalten in Elsevier Li, Qiang ELSEVIER Dual stimuli-responsive polypeptide-calcium phosphate hybrid nanoparticles for co-delivery of multiple drugs in cancer therapy 2021 Amsterdam [u.a.] (DE-627)ELV005740053 volume:188 year:2022 pages:0 https://doi.org/10.1016/j.sab.2021.106347 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 42.15 Zellbiologie VZ AR 188 2022 0 |
| spelling |
10.1016/j.sab.2021.106347 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001651.pica (DE-627)ELV056579896 (ELSEVIER)S0584-8547(21)00304-9 DE-627 ger DE-627 rakwb eng 540 VZ 42.15 bkl Anderson, Ryan B. verfasserin aut Post-landing major element quantification using SuperCam laser induced breakdown spectroscopy 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. Forni, Olivier oth Cousin, Agnes oth Wiens, Roger C. oth Clegg, Samuel M. oth Frydenvang, Jens oth Gabriel, Travis S.J. oth Ollila, Ann oth Schröder, Susanne oth Beyssac, Olivier oth Gibbons, Erin oth Vogt, David S. oth Clavé, Elise oth Manrique, Jose-Antonio oth Legett, Carey oth Pilleri, Paolo oth Newell, Raymond T. oth Sarrao, Joseph oth Maurice, Sylvestre oth Arana, Gorka oth Benzerara, Karim oth Bernardi, Pernelle oth Bernard, Sylvain oth Bousquet, Bruno oth Brown, Adrian J. oth Alvarez-Llamas, César oth Chide, Baptiste oth Cloutis, Edward oth Comellas, Jade oth Connell, Stephanie oth Dehouck, Erwin oth Delapp, Dorothea M. oth Essunfeld, Ari oth Fabre, Cecile oth Fouchet, Thierry oth Garcia-Florentino, Cristina oth García-Gómez, Laura oth Gasda, Patrick oth Gasnault, Olivier oth Hausrath, Elisabeth M. oth Lanza, Nina L. oth Laserna, Javier oth Lasue, Jeremie oth Lopez, Guillermo oth Madariaga, Juan Manuel oth Mandon, Lucia oth Mangold, Nicolas oth Meslin, Pierre-Yves oth Nelson, Anthony E. oth Newsom, Horton oth Reyes-Newell, Adriana L. oth Robinson, Scott oth Rull, Fernando oth Sharma, Shiv oth Simon, Justin I. oth Sobron, Pablo oth Fernandez, Imanol Torre oth Udry, Arya oth Venhaus, Dawn oth McLennan, Scott M. oth Morris, Richard V. oth Ehlmann, Bethany oth Enthalten in Elsevier Li, Qiang ELSEVIER Dual stimuli-responsive polypeptide-calcium phosphate hybrid nanoparticles for co-delivery of multiple drugs in cancer therapy 2021 Amsterdam [u.a.] (DE-627)ELV005740053 volume:188 year:2022 pages:0 https://doi.org/10.1016/j.sab.2021.106347 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 42.15 Zellbiologie VZ AR 188 2022 0 |
| allfields_unstemmed |
10.1016/j.sab.2021.106347 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001651.pica (DE-627)ELV056579896 (ELSEVIER)S0584-8547(21)00304-9 DE-627 ger DE-627 rakwb eng 540 VZ 42.15 bkl Anderson, Ryan B. verfasserin aut Post-landing major element quantification using SuperCam laser induced breakdown spectroscopy 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. Forni, Olivier oth Cousin, Agnes oth Wiens, Roger C. oth Clegg, Samuel M. oth Frydenvang, Jens oth Gabriel, Travis S.J. oth Ollila, Ann oth Schröder, Susanne oth Beyssac, Olivier oth Gibbons, Erin oth Vogt, David S. oth Clavé, Elise oth Manrique, Jose-Antonio oth Legett, Carey oth Pilleri, Paolo oth Newell, Raymond T. oth Sarrao, Joseph oth Maurice, Sylvestre oth Arana, Gorka oth Benzerara, Karim oth Bernardi, Pernelle oth Bernard, Sylvain oth Bousquet, Bruno oth Brown, Adrian J. oth Alvarez-Llamas, César oth Chide, Baptiste oth Cloutis, Edward oth Comellas, Jade oth Connell, Stephanie oth Dehouck, Erwin oth Delapp, Dorothea M. oth Essunfeld, Ari oth Fabre, Cecile oth Fouchet, Thierry oth Garcia-Florentino, Cristina oth García-Gómez, Laura oth Gasda, Patrick oth Gasnault, Olivier oth Hausrath, Elisabeth M. oth Lanza, Nina L. oth Laserna, Javier oth Lasue, Jeremie oth Lopez, Guillermo oth Madariaga, Juan Manuel oth Mandon, Lucia oth Mangold, Nicolas oth Meslin, Pierre-Yves oth Nelson, Anthony E. oth Newsom, Horton oth Reyes-Newell, Adriana L. oth Robinson, Scott oth Rull, Fernando oth Sharma, Shiv oth Simon, Justin I. oth Sobron, Pablo oth Fernandez, Imanol Torre oth Udry, Arya oth Venhaus, Dawn oth McLennan, Scott M. oth Morris, Richard V. oth Ehlmann, Bethany oth Enthalten in Elsevier Li, Qiang ELSEVIER Dual stimuli-responsive polypeptide-calcium phosphate hybrid nanoparticles for co-delivery of multiple drugs in cancer therapy 2021 Amsterdam [u.a.] (DE-627)ELV005740053 volume:188 year:2022 pages:0 https://doi.org/10.1016/j.sab.2021.106347 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 42.15 Zellbiologie VZ AR 188 2022 0 |
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10.1016/j.sab.2021.106347 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001651.pica (DE-627)ELV056579896 (ELSEVIER)S0584-8547(21)00304-9 DE-627 ger DE-627 rakwb eng 540 VZ 42.15 bkl Anderson, Ryan B. verfasserin aut Post-landing major element quantification using SuperCam laser induced breakdown spectroscopy 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. Forni, Olivier oth Cousin, Agnes oth Wiens, Roger C. oth Clegg, Samuel M. oth Frydenvang, Jens oth Gabriel, Travis S.J. oth Ollila, Ann oth Schröder, Susanne oth Beyssac, Olivier oth Gibbons, Erin oth Vogt, David S. oth Clavé, Elise oth Manrique, Jose-Antonio oth Legett, Carey oth Pilleri, Paolo oth Newell, Raymond T. oth Sarrao, Joseph oth Maurice, Sylvestre oth Arana, Gorka oth Benzerara, Karim oth Bernardi, Pernelle oth Bernard, Sylvain oth Bousquet, Bruno oth Brown, Adrian J. oth Alvarez-Llamas, César oth Chide, Baptiste oth Cloutis, Edward oth Comellas, Jade oth Connell, Stephanie oth Dehouck, Erwin oth Delapp, Dorothea M. oth Essunfeld, Ari oth Fabre, Cecile oth Fouchet, Thierry oth Garcia-Florentino, Cristina oth García-Gómez, Laura oth Gasda, Patrick oth Gasnault, Olivier oth Hausrath, Elisabeth M. oth Lanza, Nina L. oth Laserna, Javier oth Lasue, Jeremie oth Lopez, Guillermo oth Madariaga, Juan Manuel oth Mandon, Lucia oth Mangold, Nicolas oth Meslin, Pierre-Yves oth Nelson, Anthony E. oth Newsom, Horton oth Reyes-Newell, Adriana L. oth Robinson, Scott oth Rull, Fernando oth Sharma, Shiv oth Simon, Justin I. oth Sobron, Pablo oth Fernandez, Imanol Torre oth Udry, Arya oth Venhaus, Dawn oth McLennan, Scott M. oth Morris, Richard V. oth Ehlmann, Bethany oth Enthalten in Elsevier Li, Qiang ELSEVIER Dual stimuli-responsive polypeptide-calcium phosphate hybrid nanoparticles for co-delivery of multiple drugs in cancer therapy 2021 Amsterdam [u.a.] (DE-627)ELV005740053 volume:188 year:2022 pages:0 https://doi.org/10.1016/j.sab.2021.106347 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 42.15 Zellbiologie VZ AR 188 2022 0 |
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10.1016/j.sab.2021.106347 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001651.pica (DE-627)ELV056579896 (ELSEVIER)S0584-8547(21)00304-9 DE-627 ger DE-627 rakwb eng 540 VZ 42.15 bkl Anderson, Ryan B. verfasserin aut Post-landing major element quantification using SuperCam laser induced breakdown spectroscopy 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. Forni, Olivier oth Cousin, Agnes oth Wiens, Roger C. oth Clegg, Samuel M. oth Frydenvang, Jens oth Gabriel, Travis S.J. oth Ollila, Ann oth Schröder, Susanne oth Beyssac, Olivier oth Gibbons, Erin oth Vogt, David S. oth Clavé, Elise oth Manrique, Jose-Antonio oth Legett, Carey oth Pilleri, Paolo oth Newell, Raymond T. oth Sarrao, Joseph oth Maurice, Sylvestre oth Arana, Gorka oth Benzerara, Karim oth Bernardi, Pernelle oth Bernard, Sylvain oth Bousquet, Bruno oth Brown, Adrian J. oth Alvarez-Llamas, César oth Chide, Baptiste oth Cloutis, Edward oth Comellas, Jade oth Connell, Stephanie oth Dehouck, Erwin oth Delapp, Dorothea M. oth Essunfeld, Ari oth Fabre, Cecile oth Fouchet, Thierry oth Garcia-Florentino, Cristina oth García-Gómez, Laura oth Gasda, Patrick oth Gasnault, Olivier oth Hausrath, Elisabeth M. oth Lanza, Nina L. oth Laserna, Javier oth Lasue, Jeremie oth Lopez, Guillermo oth Madariaga, Juan Manuel oth Mandon, Lucia oth Mangold, Nicolas oth Meslin, Pierre-Yves oth Nelson, Anthony E. oth Newsom, Horton oth Reyes-Newell, Adriana L. oth Robinson, Scott oth Rull, Fernando oth Sharma, Shiv oth Simon, Justin I. oth Sobron, Pablo oth Fernandez, Imanol Torre oth Udry, Arya oth Venhaus, Dawn oth McLennan, Scott M. oth Morris, Richard V. oth Ehlmann, Bethany oth Enthalten in Elsevier Li, Qiang ELSEVIER Dual stimuli-responsive polypeptide-calcium phosphate hybrid nanoparticles for co-delivery of multiple drugs in cancer therapy 2021 Amsterdam [u.a.] (DE-627)ELV005740053 volume:188 year:2022 pages:0 https://doi.org/10.1016/j.sab.2021.106347 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 42.15 Zellbiologie VZ AR 188 2022 0 |
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Enthalten in Dual stimuli-responsive polypeptide-calcium phosphate hybrid nanoparticles for co-delivery of multiple drugs in cancer therapy Amsterdam [u.a.] volume:188 year:2022 pages:0 |
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Anderson, Ryan B. @@aut@@ Forni, Olivier @@oth@@ Cousin, Agnes @@oth@@ Wiens, Roger C. @@oth@@ Clegg, Samuel M. @@oth@@ Frydenvang, Jens @@oth@@ Gabriel, Travis S.J. @@oth@@ Ollila, Ann @@oth@@ Schröder, Susanne @@oth@@ Beyssac, Olivier @@oth@@ Gibbons, Erin @@oth@@ Vogt, David S. @@oth@@ Clavé, Elise @@oth@@ Manrique, Jose-Antonio @@oth@@ Legett, Carey @@oth@@ Pilleri, Paolo @@oth@@ Newell, Raymond T. @@oth@@ Sarrao, Joseph @@oth@@ Maurice, Sylvestre @@oth@@ Arana, Gorka @@oth@@ Benzerara, Karim @@oth@@ Bernardi, Pernelle @@oth@@ Bernard, Sylvain @@oth@@ Bousquet, Bruno @@oth@@ Brown, Adrian J. @@oth@@ Alvarez-Llamas, César @@oth@@ Chide, Baptiste @@oth@@ Cloutis, Edward @@oth@@ Comellas, Jade @@oth@@ Connell, Stephanie @@oth@@ Dehouck, Erwin @@oth@@ Delapp, Dorothea M. @@oth@@ Essunfeld, Ari @@oth@@ Fabre, Cecile @@oth@@ Fouchet, Thierry @@oth@@ Garcia-Florentino, Cristina @@oth@@ García-Gómez, Laura @@oth@@ Gasda, Patrick @@oth@@ Gasnault, Olivier @@oth@@ Hausrath, Elisabeth M. @@oth@@ Lanza, Nina L. @@oth@@ Laserna, Javier @@oth@@ Lasue, Jeremie @@oth@@ Lopez, Guillermo @@oth@@ Madariaga, Juan Manuel @@oth@@ Mandon, Lucia @@oth@@ Mangold, Nicolas @@oth@@ Meslin, Pierre-Yves @@oth@@ Nelson, Anthony E. @@oth@@ Newsom, Horton @@oth@@ Reyes-Newell, Adriana L. @@oth@@ Robinson, Scott @@oth@@ Rull, Fernando @@oth@@ Sharma, Shiv @@oth@@ Simon, Justin I. @@oth@@ Sobron, Pablo @@oth@@ Fernandez, Imanol Torre @@oth@@ Udry, Arya @@oth@@ Venhaus, Dawn @@oth@@ McLennan, Scott M. @@oth@@ Morris, Richard V. @@oth@@ Ehlmann, Bethany @@oth@@ |
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Dual stimuli-responsive polypeptide-calcium phosphate hybrid nanoparticles for co-delivery of multiple drugs in cancer therapy |
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post-landing major element quantification using supercam laser induced breakdown spectroscopy |
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Post-landing major element quantification using SuperCam laser induced breakdown spectroscopy |
| abstract |
The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. |
| abstractGer |
The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. |
| abstract_unstemmed |
The SuperCam instrument on the Perseverance Mars 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 and spectra are normalized to minimize signal fluctuations and effects of target distance. In some cases, the spectra are also standardized or binned prior to quantification. To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. |
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Post-landing major element quantification using SuperCam laser induced breakdown spectroscopy |
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Forni, Olivier Cousin, Agnes Wiens, Roger C. Clegg, Samuel M. Frydenvang, Jens Gabriel, Travis S.J. Ollila, Ann Schröder, Susanne Beyssac, Olivier Gibbons, Erin Vogt, David S. Clavé, Elise Manrique, Jose-Antonio Legett, Carey Pilleri, Paolo Newell, Raymond T. Sarrao, Joseph Maurice, Sylvestre Arana, Gorka Benzerara, Karim Bernardi, Pernelle Bernard, Sylvain Bousquet, Bruno Brown, Adrian J. Alvarez-Llamas, César Chide, Baptiste Cloutis, Edward Comellas, Jade Connell, Stephanie Dehouck, Erwin Delapp, Dorothea M. Essunfeld, Ari Fabre, Cecile Fouchet, Thierry Garcia-Florentino, Cristina García-Gómez, Laura Gasda, Patrick Gasnault, Olivier Hausrath, Elisabeth M. Lanza, Nina L. Laserna, Javier Lasue, Jeremie Lopez, Guillermo Madariaga, Juan Manuel Mandon, Lucia Mangold, Nicolas Meslin, Pierre-Yves Nelson, Anthony E. Newsom, Horton Reyes-Newell, Adriana L. Robinson, Scott Rull, Fernando Sharma, Shiv Simon, Justin I. Sobron, Pablo Fernandez, Imanol Torre Udry, Arya Venhaus, Dawn McLennan, Scott M. Morris, Richard V. Ehlmann, Bethany |
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To determine quantitative elemental compositions of 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 ore and sodalite), and replicates of the sintered SuperCam calibration targets (SCCTs) onboard the 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 four folds 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 3 m. 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. 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