voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra

Confocal micro-X-ray fluorescence analysis (CMXRF), using polycapillary optics, is a powerful technique for the non-destructive investigation of the three-dimensional elemental distribution of samples from many different research areas, including biology, cultural heritage and material science. To s...
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Autor*in:	Michael Iro [verfasserIn] Dieter Ingerle [verfasserIn] Sven Hampel [verfasserIn] Ursula Fittschen [verfasserIn] Vishal Dhamgaye [verfasserIn] Oliver Fox [verfasserIn] Christina Streli [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Monte-Carlo Ray-tracing X-ray fluorescence Simulation Quantification Confocal XRF

Übergeordnetes Werk:	In: SoftwareX - Elsevier, 2016, 23(2023), Seite 101481-
Übergeordnetes Werk:	volume:23 ; year:2023 ; pages:101481-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.softx.2023.101481

Katalog-ID:	DOAJ098213873

Internformat


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520			\|a Confocal micro-X-ray fluorescence analysis (CMXRF), using polycapillary optics, is a powerful technique for the non-destructive investigation of the three-dimensional elemental distribution of samples from many different research areas, including biology, cultural heritage and material science. To solve the problem of the quantitative interpretation of CMXRF measurements, voxTrace introduces a new fundamental Monte-Carlo ray-tracing approach, to simulate the measured spectra. This enables the consideration of effects such as secondary excitation, elastic and inelastic scattering. Furthermore, measurements with step sizes between measurement points smaller than the average confocal volume can be interpreted without complicated sample reconstruction algorithms. Solving this problem of high computational effort, in reasonable timescales, is made feasible by the effective use of graphics processing units (GPU) with CUDA.
650		4	\|a Monte-Carlo
650		4	\|a Ray-tracing
650		4	\|a X-ray fluorescence
650		4	\|a Simulation
650		4	\|a Quantification
650		4	\|a Confocal XRF
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700	0		\|a Christina Streli \|e verfasserin \|4 aut
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912			\|a GBV_ILN_4338
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allfields	10.1016/j.softx.2023.101481 doi (DE-627)DOAJ098213873 (DE-599)DOAJcc2ccb707e3e4facaec5d6c2639ad465 DE-627 ger DE-627 rakwb eng QA76.75-76.765 Michael Iro verfasserin aut voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Confocal micro-X-ray fluorescence analysis (CMXRF), using polycapillary optics, is a powerful technique for the non-destructive investigation of the three-dimensional elemental distribution of samples from many different research areas, including biology, cultural heritage and material science. To solve the problem of the quantitative interpretation of CMXRF measurements, voxTrace introduces a new fundamental Monte-Carlo ray-tracing approach, to simulate the measured spectra. This enables the consideration of effects such as secondary excitation, elastic and inelastic scattering. Furthermore, measurements with step sizes between measurement points smaller than the average confocal volume can be interpreted without complicated sample reconstruction algorithms. Solving this problem of high computational effort, in reasonable timescales, is made feasible by the effective use of graphics processing units (GPU) with CUDA. Monte-Carlo Ray-tracing X-ray fluorescence Simulation Quantification Confocal XRF Computer software Dieter Ingerle verfasserin aut Sven Hampel verfasserin aut Ursula Fittschen verfasserin aut Vishal Dhamgaye verfasserin aut Oliver Fox verfasserin aut Christina Streli verfasserin aut In SoftwareX Elsevier, 2016 23(2023), Seite 101481- (DE-627)824451805 (DE-600)2819369-6 23527110 nnns volume:23 year:2023 pages:101481- https://doi.org/10.1016/j.softx.2023.101481 kostenfrei https://doaj.org/article/cc2ccb707e3e4facaec5d6c2639ad465 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352711023001772 kostenfrei https://doaj.org/toc/2352-7110 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2023 101481-
spelling	10.1016/j.softx.2023.101481 doi (DE-627)DOAJ098213873 (DE-599)DOAJcc2ccb707e3e4facaec5d6c2639ad465 DE-627 ger DE-627 rakwb eng QA76.75-76.765 Michael Iro verfasserin aut voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Confocal micro-X-ray fluorescence analysis (CMXRF), using polycapillary optics, is a powerful technique for the non-destructive investigation of the three-dimensional elemental distribution of samples from many different research areas, including biology, cultural heritage and material science. To solve the problem of the quantitative interpretation of CMXRF measurements, voxTrace introduces a new fundamental Monte-Carlo ray-tracing approach, to simulate the measured spectra. This enables the consideration of effects such as secondary excitation, elastic and inelastic scattering. Furthermore, measurements with step sizes between measurement points smaller than the average confocal volume can be interpreted without complicated sample reconstruction algorithms. Solving this problem of high computational effort, in reasonable timescales, is made feasible by the effective use of graphics processing units (GPU) with CUDA. Monte-Carlo Ray-tracing X-ray fluorescence Simulation Quantification Confocal XRF Computer software Dieter Ingerle verfasserin aut Sven Hampel verfasserin aut Ursula Fittschen verfasserin aut Vishal Dhamgaye verfasserin aut Oliver Fox verfasserin aut Christina Streli verfasserin aut In SoftwareX Elsevier, 2016 23(2023), Seite 101481- (DE-627)824451805 (DE-600)2819369-6 23527110 nnns volume:23 year:2023 pages:101481- https://doi.org/10.1016/j.softx.2023.101481 kostenfrei https://doaj.org/article/cc2ccb707e3e4facaec5d6c2639ad465 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352711023001772 kostenfrei https://doaj.org/toc/2352-7110 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2023 101481-
allfields_unstemmed	10.1016/j.softx.2023.101481 doi (DE-627)DOAJ098213873 (DE-599)DOAJcc2ccb707e3e4facaec5d6c2639ad465 DE-627 ger DE-627 rakwb eng QA76.75-76.765 Michael Iro verfasserin aut voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Confocal micro-X-ray fluorescence analysis (CMXRF), using polycapillary optics, is a powerful technique for the non-destructive investigation of the three-dimensional elemental distribution of samples from many different research areas, including biology, cultural heritage and material science. To solve the problem of the quantitative interpretation of CMXRF measurements, voxTrace introduces a new fundamental Monte-Carlo ray-tracing approach, to simulate the measured spectra. This enables the consideration of effects such as secondary excitation, elastic and inelastic scattering. Furthermore, measurements with step sizes between measurement points smaller than the average confocal volume can be interpreted without complicated sample reconstruction algorithms. Solving this problem of high computational effort, in reasonable timescales, is made feasible by the effective use of graphics processing units (GPU) with CUDA. Monte-Carlo Ray-tracing X-ray fluorescence Simulation Quantification Confocal XRF Computer software Dieter Ingerle verfasserin aut Sven Hampel verfasserin aut Ursula Fittschen verfasserin aut Vishal Dhamgaye verfasserin aut Oliver Fox verfasserin aut Christina Streli verfasserin aut In SoftwareX Elsevier, 2016 23(2023), Seite 101481- (DE-627)824451805 (DE-600)2819369-6 23527110 nnns volume:23 year:2023 pages:101481- https://doi.org/10.1016/j.softx.2023.101481 kostenfrei https://doaj.org/article/cc2ccb707e3e4facaec5d6c2639ad465 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352711023001772 kostenfrei https://doaj.org/toc/2352-7110 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2023 101481-
allfieldsGer	10.1016/j.softx.2023.101481 doi (DE-627)DOAJ098213873 (DE-599)DOAJcc2ccb707e3e4facaec5d6c2639ad465 DE-627 ger DE-627 rakwb eng QA76.75-76.765 Michael Iro verfasserin aut voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Confocal micro-X-ray fluorescence analysis (CMXRF), using polycapillary optics, is a powerful technique for the non-destructive investigation of the three-dimensional elemental distribution of samples from many different research areas, including biology, cultural heritage and material science. To solve the problem of the quantitative interpretation of CMXRF measurements, voxTrace introduces a new fundamental Monte-Carlo ray-tracing approach, to simulate the measured spectra. This enables the consideration of effects such as secondary excitation, elastic and inelastic scattering. Furthermore, measurements with step sizes between measurement points smaller than the average confocal volume can be interpreted without complicated sample reconstruction algorithms. Solving this problem of high computational effort, in reasonable timescales, is made feasible by the effective use of graphics processing units (GPU) with CUDA. Monte-Carlo Ray-tracing X-ray fluorescence Simulation Quantification Confocal XRF Computer software Dieter Ingerle verfasserin aut Sven Hampel verfasserin aut Ursula Fittschen verfasserin aut Vishal Dhamgaye verfasserin aut Oliver Fox verfasserin aut Christina Streli verfasserin aut In SoftwareX Elsevier, 2016 23(2023), Seite 101481- (DE-627)824451805 (DE-600)2819369-6 23527110 nnns volume:23 year:2023 pages:101481- https://doi.org/10.1016/j.softx.2023.101481 kostenfrei https://doaj.org/article/cc2ccb707e3e4facaec5d6c2639ad465 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352711023001772 kostenfrei https://doaj.org/toc/2352-7110 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2023 101481-
allfieldsSound	10.1016/j.softx.2023.101481 doi (DE-627)DOAJ098213873 (DE-599)DOAJcc2ccb707e3e4facaec5d6c2639ad465 DE-627 ger DE-627 rakwb eng QA76.75-76.765 Michael Iro verfasserin aut voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Confocal micro-X-ray fluorescence analysis (CMXRF), using polycapillary optics, is a powerful technique for the non-destructive investigation of the three-dimensional elemental distribution of samples from many different research areas, including biology, cultural heritage and material science. To solve the problem of the quantitative interpretation of CMXRF measurements, voxTrace introduces a new fundamental Monte-Carlo ray-tracing approach, to simulate the measured spectra. This enables the consideration of effects such as secondary excitation, elastic and inelastic scattering. Furthermore, measurements with step sizes between measurement points smaller than the average confocal volume can be interpreted without complicated sample reconstruction algorithms. Solving this problem of high computational effort, in reasonable timescales, is made feasible by the effective use of graphics processing units (GPU) with CUDA. Monte-Carlo Ray-tracing X-ray fluorescence Simulation Quantification Confocal XRF Computer software Dieter Ingerle verfasserin aut Sven Hampel verfasserin aut Ursula Fittschen verfasserin aut Vishal Dhamgaye verfasserin aut Oliver Fox verfasserin aut Christina Streli verfasserin aut In SoftwareX Elsevier, 2016 23(2023), Seite 101481- (DE-627)824451805 (DE-600)2819369-6 23527110 nnns volume:23 year:2023 pages:101481- https://doi.org/10.1016/j.softx.2023.101481 kostenfrei https://doaj.org/article/cc2ccb707e3e4facaec5d6c2639ad465 kostenfrei http://www.sciencedirect.com/science/article/pii/S2352711023001772 kostenfrei https://doaj.org/toc/2352-7110 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2023 101481-
language	English
source	In SoftwareX 23(2023), Seite 101481- volume:23 year:2023 pages:101481-
sourceStr	In SoftwareX 23(2023), Seite 101481- volume:23 year:2023 pages:101481-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Monte-Carlo Ray-tracing X-ray fluorescence Simulation Quantification Confocal XRF Computer software
isfreeaccess_bool	true
container_title	SoftwareX
authorswithroles_txt_mv	Michael Iro @@aut@@ Dieter Ingerle @@aut@@ Sven Hampel @@aut@@ Ursula Fittschen @@aut@@ Vishal Dhamgaye @@aut@@ Oliver Fox @@aut@@ Christina Streli @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	824451805
id	DOAJ098213873
language_de	englisch
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callnumber-first	Q - Science
author	Michael Iro
spellingShingle	Michael Iro misc QA76.75-76.765 misc Monte-Carlo misc Ray-tracing misc X-ray fluorescence misc Simulation misc Quantification misc Confocal XRF misc Computer software voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra
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topic_title	QA76.75-76.765 voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra Monte-Carlo Ray-tracing X-ray fluorescence Simulation Quantification Confocal XRF
topic	misc QA76.75-76.765 misc Monte-Carlo misc Ray-tracing misc X-ray fluorescence misc Simulation misc Quantification misc Confocal XRF misc Computer software
topic_unstemmed	misc QA76.75-76.765 misc Monte-Carlo misc Ray-tracing misc X-ray fluorescence misc Simulation misc Quantification misc Confocal XRF misc Computer software
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title	voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra
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title_full	voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra
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title_sort	voxtrace: a voxel-based monte-carlo ray-tracing code for the simulation of x-ray fluorescence spectra
callnumber	QA76.75-76.765
title_auth	voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra
abstract	Confocal micro-X-ray fluorescence analysis (CMXRF), using polycapillary optics, is a powerful technique for the non-destructive investigation of the three-dimensional elemental distribution of samples from many different research areas, including biology, cultural heritage and material science. To solve the problem of the quantitative interpretation of CMXRF measurements, voxTrace introduces a new fundamental Monte-Carlo ray-tracing approach, to simulate the measured spectra. This enables the consideration of effects such as secondary excitation, elastic and inelastic scattering. Furthermore, measurements with step sizes between measurement points smaller than the average confocal volume can be interpreted without complicated sample reconstruction algorithms. Solving this problem of high computational effort, in reasonable timescales, is made feasible by the effective use of graphics processing units (GPU) with CUDA.
abstractGer	Confocal micro-X-ray fluorescence analysis (CMXRF), using polycapillary optics, is a powerful technique for the non-destructive investigation of the three-dimensional elemental distribution of samples from many different research areas, including biology, cultural heritage and material science. To solve the problem of the quantitative interpretation of CMXRF measurements, voxTrace introduces a new fundamental Monte-Carlo ray-tracing approach, to simulate the measured spectra. This enables the consideration of effects such as secondary excitation, elastic and inelastic scattering. Furthermore, measurements with step sizes between measurement points smaller than the average confocal volume can be interpreted without complicated sample reconstruction algorithms. Solving this problem of high computational effort, in reasonable timescales, is made feasible by the effective use of graphics processing units (GPU) with CUDA.
abstract_unstemmed	Confocal micro-X-ray fluorescence analysis (CMXRF), using polycapillary optics, is a powerful technique for the non-destructive investigation of the three-dimensional elemental distribution of samples from many different research areas, including biology, cultural heritage and material science. To solve the problem of the quantitative interpretation of CMXRF measurements, voxTrace introduces a new fundamental Monte-Carlo ray-tracing approach, to simulate the measured spectra. This enables the consideration of effects such as secondary excitation, elastic and inelastic scattering. Furthermore, measurements with step sizes between measurement points smaller than the average confocal volume can be interpreted without complicated sample reconstruction algorithms. Solving this problem of high computational effort, in reasonable timescales, is made feasible by the effective use of graphics processing units (GPU) with CUDA.
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title_short	voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra
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voxTrace: A voxel-based Monte-Carlo ray-tracing code for the simulation of X-ray fluorescence spectra

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