Dataset.
Predicting instrumental mass fractionation (IMF) of stable isotope SIMS analyses by response surface methodology (RSM) [Dataset]
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
UPCommons. Portal del coneixement obert de la UPC
- Parcerisa Duocastella, David|||0000-0001-8071-9936
- Rossell Garriga, Josep Maria|||0000-0002-5631-5357
- Fàbrega Alsina, Carles
- Gurenko, Andrey
- Franke, Christine
The dataset contains four files. File S1 corresponds to cathodoluminescence and BSE images of standard minerals. File S2 contains geochemical data of mineral standards ans samples obtained by SIMS and EPMA. File S3 contains the parameters used to obtain response surface models of IMF in mineral standards. File S4 is a response surface methodology tutorial., Instrumental mass fractionation (IMF) of isotopic SIMS analyses (Cameca 1280HR, CRPG Nancy) was predicted by response surface methodology (RSM) for 18O/16O determinations of plagioclase, K-feldspar and quartz. The three predictive response surface models combined instrumental and compositional inputs. The instrumental parameters were: (i) X and Y position, (ii) LT1DefX and LT1DefY electrostatic deflectors, (iii) chamber pressure and, (iv) primary-ion beam intensity. The compositional inputs included: (i) anorthite content (An%) for the plagioclase model and, (ii) orthoclase (Or%) and barium (BaO%) contents for the K-feldspar model. The three models reached high predictive powers. The coefficients R2 and prediction-R2 were, respectively, 90.47% and 86.74% for plagioclase, 87.56% and 83.17% for K-feldspar and 94.29% and 91.59% for quartz. The results show that RSM can be confidently applied to IMF prediction in stable isotope SIMS analyses by the use of instrumental and compositional variables.
DOI: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
HANDLE: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
Ver en: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
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2 Documentos relacionados
2 Documentos relacionados
Recercat. Dipósit de la Recerca de Catalunya
oai:recercat.cat:2072/273123
Artículo científico (article).
PREDICTING INSTRUMENTAL MASS FRACTIONATION (IMF) OF STABLE ISOTOPE SIMS ANALYSES BY RESPONSE SURFACE METHODOLOGY (RSM)
Recercat. Dipósit de la Recerca de Catalunya
- Fàbrega Alsina, Carles
- Parcerisa Duocastella, David
- Rossell Garriga, Josep Maria
- Gurenko, Andrey
- Franke, Christine
Instrumental mass fractionation (IMF) of isotopic SIMS analyses (Cameca 1280HR, CRPG Nancy) was predicted by response surface methodology (RSM) for 18O/16O determinations of plagioclase, K-feldspar and quartz. The three predictive response surface models combined instrumental and compositional inputs. The instrumental parameters were: (i) X and Y position, (ii) LT1DefX and LT1DefY electrostatic deflectors, (iii) chamber pressure and, (iv) primary-ion beam intensity. The compositional inputs included: (i) anorthite content (An%) for the plagioclase model and, (ii) orthoclase (Or%) and barium (BaO%) contents for the K-feldspar model. The three models reached high predictive powers. The coefficients R2 and prediction-R2 were, respectively, 90.47% and 86.74% for plagioclase, 87.56% and 83.17% for K-feldspar and 94.29% and 91.59% for quartz. The results show that RSM can be confidently applied to IMF prediction in stable isotope SIMS analyses by the use of instrumental and compositional variables., Peer Reviewed
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/100911
Artículo científico (article). 2017
PREDICTING INSTRUMENTAL MASS FRACTIONATION (IMF) OF STABLE ISOTOPE SIMS ANALYSES BY RESPONSE SURFACE METHODOLOGY (RSM)
UPCommons. Portal del coneixement obert de la UPC
- Fàbrega Alsina, Carles
- Parcerisa Duocastella, David|||0000-0001-8071-9936
- Rossell Garriga, Josep Maria|||0000-0002-5631-5357
- Gurenko, Andrey
- Franke, Christine
Instrumental mass fractionation (IMF) of isotopic SIMS analyses (Cameca 1280HR, CRPG Nancy) was predicted by response surface methodology (RSM) for 18O/16O determinations of plagioclase, K-feldspar and quartz. The three predictive response surface models combined instrumental and compositional inputs. The instrumental parameters were: (i) X and Y position, (ii) LT1DefX and LT1DefY electrostatic deflectors, (iii) chamber pressure and, (iv) primary-ion beam intensity. The compositional inputs included: (i) anorthite content (An%) for the plagioclase model and, (ii) orthoclase (Or%) and barium (BaO%) contents for the K-feldspar model. The three models reached high predictive powers. The coefficients R2 and prediction-R2 were, respectively, 90.47% and 86.74% for plagioclase, 87.56% and 83.17% for K-feldspar and 94.29% and 91.59% for quartz. The results show that RSM can be confidently applied to IMF prediction in stable isotope SIMS analyses by the use of instrumental and compositional variables., Peer Reviewed
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1 Versiones
1 Versiones
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
Dataset. 2017
PREDICTING INSTRUMENTAL MASS FRACTIONATION (IMF) OF STABLE ISOTOPE SIMS ANALYSES BY RESPONSE SURFACE METHODOLOGY (RSM) [DATASET]
UPCommons. Portal del coneixement obert de la UPC
- Parcerisa Duocastella, David|||0000-0001-8071-9936
- Rossell Garriga, Josep Maria|||0000-0002-5631-5357
- Fàbrega Alsina, Carles
- Gurenko, Andrey
- Franke, Christine
The dataset contains four files. File S1 corresponds to cathodoluminescence and BSE images of standard minerals. File S2 contains geochemical data of mineral standards ans samples obtained by SIMS and EPMA. File S3 contains the parameters used to obtain response surface models of IMF in mineral standards. File S4 is a response surface methodology tutorial., Instrumental mass fractionation (IMF) of isotopic SIMS analyses (Cameca 1280HR, CRPG Nancy) was predicted by response surface methodology (RSM) for 18O/16O determinations of plagioclase, K-feldspar and quartz. The three predictive response surface models combined instrumental and compositional inputs. The instrumental parameters were: (i) X and Y position, (ii) LT1DefX and LT1DefY electrostatic deflectors, (iii) chamber pressure and, (iv) primary-ion beam intensity. The compositional inputs included: (i) anorthite content (An%) for the plagioclase model and, (ii) orthoclase (Or%) and barium (BaO%) contents for the K-feldspar model. The three models reached high predictive powers. The coefficients R2 and prediction-R2 were, respectively, 90.47% and 86.74% for plagioclase, 87.56% and 83.17% for K-feldspar and 94.29% and 91.59% for quartz. The results show that RSM can be confidently applied to IMF prediction in stable isotope SIMS analyses by the use of instrumental and compositional variables.
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