A systematic multi-technique comparison of luminescence characteristics of two reference quartz samples

Schmidt, Christoph; Chruścińska, Alicja; Fasoli, M.; Biernacka, Magdalena; Kreutzer, Sebastian; Polymeris, Georgios S.; Sanderson, David; Cresswell, A.J.; Adamiec, Grzegorz; Martini, M.

doi:10.1016/j.jlumin.2022.119070

Cited by 6 publications

(6 citation statements)

References 55 publications

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“…It means that the fast OSL component contribution in the total OSL signal for GC and MR samples is lower than for FB, QC, GO, and 2 MV 570A samples. The observations that the OSL signal originating from FB is dominated by the fast OSL component whereas in the case of the MR sample the total OSL signal is evidently composed of the other OSL components agrees with LM-OSL results for these samples published recently [ 25 ]. The LM-OSL curves for both samples were decomposed into several first-order kinetics LM-OSL components.…”

Section: Resultssupporting

confidence: 90%

“…Estimated trap parameters E = 1.629 ± 0.003 eV and s = (1.46 ± 0.11) × 10 13 s − 1 have a low value of standard uncertainties. The investigation of OSL components in the sample MR was performed previously [ 25 ] and showed that this sample has a very low intensity of the fast OSL component. As shown in Figure 5 b, the first-order decay curves can be fitted to OTDCs obtained in these experiments with excellent accuracy.…”

Section: Resultsmentioning

confidence: 99%

“…Such a case is shown in Figure 7 for the MR sample for which it was previously shown that the fast component is about 100 times less intense than in well-behaved samples such as sample FB. This component was not detected in sample MR by the LM-OSL measurement with blue light (see [ 25 ], (Figure 9) therein).…”

Section: Discussionmentioning

confidence: 99%

“…150–250 μm, from ~8 to 9 ka old deposits ‘Silver Sands of Morar’, reworked intensely by fluvial and marine processes. The preparation of sample MR is described in detail by Schmidt et al [ 25 ]. FB—dia.…”

Section: Methodsmentioning

confidence: 99%

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Trap Parameters for the Fast OSL Signal Component Obtained through Analytical Separation for Various Quartz Samples

et al. 2022

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Trap stability is essential in luminescence dating and thermochronometry. Trap depth and frequency factors determining the stability of the fast component of optically stimulated luminescence (OSL) in quartz, which is the most important in dating, have yet to be uniquely determined, especially for samples with an OSL signal not dominated by this component. One can determine them in OSL thermal depletion curve (OTDC) experiments. The separation of the fast OSL signal undisturbed by other OSL components is vital for obtaining accurate parameters for the traps of interest. This work presents a method of simultaneous thermal and optical stimulation using red light (620 nm) to separate the fast OSL component (the thermally modulated OSL method—TM-OSL). The OTDC experiment with the TM-OSL stimulation was used for the trap parameter determination on a variety of quartz samples, leading us to report for the first time, the trap parameters for the fast OSL component analytically separated in quartz from rock samples. The results obtained for these samples with the fast component of low intensity are consistent with those with an intensive fast OSL component. Results of OTDC measurements for all investigated quartz samples were tested for a wide range of irradiation doses.

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Section: Resultssupporting

confidence: 90%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Trap Parameters for the Fast OSL Signal Component Obtained through Analytical Separation for Various Quartz Samples

et al. 2022

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“…Recently, TL and OSL research groups have recognized the importance of the 110 °C peak, and its properties became the subject of inter-comparison programs between research groups (Schmidt et al [ 39 , 40 ]).…”

Section: Testing the Results Of Simulations By Using Experimental Res...mentioning

confidence: 99%

On the Need for Deconvolution Analysis of Experimental and Simulated Thermoluminescence Glow Curves

Kitis

Pagonis²

2023

Materials

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Simulation studies of thermoluminescence (TL) and other stimulated luminescence phenomena are a rapidly growing area of research. The presence of competition effects between luminescence pathways leads to the complex nature of luminescence signals, and therefore, it is necessary to investigate and validate the various methods of signal analysis by using simulations. The present study shows that in simulations of luminescence signals originating from multilevel phenomenological models, it is not possible to extract mathematically the individual information for each peak in the signal. It is further shown that computerized curve deconvolution analysis is the only reliable tool for extracting the various kinetic parameters. Simulation studies aim to explain experimental results, and therefore, it is necessary to validate simulation results by comparing with experiments. In this paper, testing of simulation results is performed using two methods. In the first method, the influence of competition effects is tested by comparing the input model parameters with the output values from the deconvolution analysis. In the second method, the agreement with experimental results is tested using the properties of well-known glow peaks with very high repeatability among TL laboratories, such as the 110 ∘C glow peak of quartz.

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Differentiation Between Natural Quartz-Based on Thermoluminescence Properties

Farouk,

Gad,

El-Faramawy

2024

Advances in Material Research and Technology

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A systematic multi-technique comparison of luminescence characteristics of two reference quartz samples

Cited by 6 publications

References 55 publications

Trap Parameters for the Fast OSL Signal Component Obtained through Analytical Separation for Various Quartz Samples

Trap Parameters for the Fast OSL Signal Component Obtained through Analytical Separation for Various Quartz Samples

On the Need for Deconvolution Analysis of Experimental and Simulated Thermoluminescence Glow Curves

Differentiation Between Natural Quartz-Based on Thermoluminescence Properties

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