Kinetics of infrared stimulated luminescence from feldspars

Jain, Mayank; Sohbati, Reza; Guralnik, Benny; Murray, Andrew; Kook, Myungho; Lapp, Torben; Prasad, Amit Kumar; Thomsen, Kristina Jørkov; Buylaert, Jan‐Pieter

doi:10.1016/j.radmeas.2015.02.006

Cited by 72 publications

(46 citation statements)

References 28 publications

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“…It is also interesting to discuss the results of this paper within the context of the excited state tunneling model by Jain et al [11], [37]. These authors presented two versions of a new kinetic model which quantifies localized electronic recombination of donor-acceptor pairs in luminescent materials, with recombination taking place via the excited state of the system, and only for nearest-neighbors within a random distribution of centers.…”

Section: Discussionmentioning

confidence: 90%

“…The models described in this paper ignore the transition from the excited states into the band-tail states, from where the electrons can recombine with holes via thermal hopping or tunneling ( [5], [36]- [39]). For example, Li and Li [37] provided an alternative model by considering the direct transition into the band-tail states, and found that their model describes the experimental data equally well. Incorporating the band-tail states into the current models is more complex and beyond the scope of this paper, but this is a limitation that needs to be addressed in future work.…”

Section: Discussionmentioning

confidence: 99%

“…Experimental and modeling work by several researchers has provided valuable information on the origin of these IRSL signals, and supports the existence of tunneling processes involving localized recombinations taking place from the excited state of the trap, as well as charge migration through the conduction bandtail states. ([9]- [10], [22], [25]- [37]). …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mathematical aspects of ground state tunneling models in luminescence materials

Pagonis

Kitis

2015

Journal of Luminescence

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Section: Discussionmentioning

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mathematical aspects of ground state tunneling models in luminescence materials

Pagonis

Kitis

2015

Journal of Luminescence

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“…Equations and represent the ideal behavior of luminescence as a function of environmental variables (background dose rate D R and light flux φ ) and intrinsic luminescence variables (characteristic dose D 0 and “bleachability” governed by σ ). Different luminescence signals such as OSL, IRSL, TL, and their derivative signals have varying levels of complexity in their underlying equations and are often approximated as power‐laws, sums of exponential functions, or systems of differential equations (e.g., Chen & Pagonis, ; Guralnik, Li, et al, ; Huntley, ; Jain et al, , ). The above equations and have mainly been found to be appropriate for describing the luminescence behavior of the fast OSL component of quartz (Jain et al, ; Jain, Murray, et al, ; Singarayer & Bailey, ).…”

Section: Physical Basis Of Luminescence As a Sediment Tracer And Provmentioning

confidence: 99%

“…Additionally, sediments have a diverse suite of minerals as minor components that also emit luminescence (Jain et al, ; Marfunin, ) and whose signals can be tested for provenance analysis. Equally there are many other signals in both quartz and feldspars related to stimulation with higher energies (e.g., violet stimulated luminescence; Jain, ) or higher temperature IRSL stimulations (Thomsen et al, ) or different luminescence emissions (Jain et al, ; Prasad et al, ), which may be exploited in a multidimensional luminescence approach to reconstruct sediment transport histories or provenances.…”

Section: Conclusion and Future Research Questionsmentioning

confidence: 99%

Luminescence as a Sediment Tracer and Provenance Tool

Gray

Jain

Sawakuchi

et al. 2019

Reviews of Geophysics

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Luminescence holds unique potential as a sediment tracer and provenance method. The tracer application of luminescence has key advantages including ease of measurement, relatively low cost, and applicability to geologically ubiquitous quartz and feldspar sand and silt. These advantages can help answer fundamental questions about geomorphology, sediment transport, sediment production, and the tectonic/climatic controls on source‐to‐sink sedimentary systems. There is a notable body of research on luminescence as a sediment tracer. These tracer methods range from identifying source locations based on unique luminescence characteristics, to observing changes in luminescence characteristics with transport, to using residual luminescence to infer rates of transport. Previous applications of luminescence include provenance and quantification of fluvial transport rate, tracing of coastal longshore drift, estimations of mixing rates in soil or sediment, and provenance of wind‐blown deposits. The few studies that compare luminescence methods with nonluminescence tracer methods show good agreement. However, more work is needed to test the application of luminescence tracers in sediments. Future research directions should focus on comparing luminescence‐based with nonluminescence tracer methods. Furthermore, research is needed on the effects of specific geomorphic processes on luminescence characteristics and residual doses. While there is significant potential for future research, luminescence is already a useful sediment tracer and provenance tool applicable to a wide range of geomorphic environments.

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On extracting sediment transport information from measurements of luminescence in river sediment

et al. 2017

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Accurately quantifying sediment transport rates in rivers remains an important goal for geomorphologists, hydraulic engineers, and environmental scientists. However, current techniques for measuring long‐time scale (102–106 years) transport rates are laborious, and formulae to predict transport are notoriously inaccurate. Here we attempt to estimate sediment transport rates by using luminescence, a property of common sedimentary minerals that is used by the geoscience community for geochronology. This method is advantageous because of the ease of measurement on ubiquitous quartz and feldspar sand. We develop a model from first principles by using conservation of energy and sediment mass to explain the downstream pattern of luminescence in river channel sediment. We show that the model can accurately reproduce the luminescence observed in previously published field measurements from two rivers with very different sediment transport styles. The model demonstrates that the downstream pattern of river sand luminescence should show exponential‐like decay in the headwaters which asymptotes to a constant value with further downstream distance. The parameters from the model can then be used to estimate the time‐averaged virtual velocity, characteristic transport lengthscale, storage time scale, and floodplain exchange rate of fine sand‐sized sediment in a fluvial system. The sediment transport values predicted from the luminescence method show a broader range than those reported in the literature, but the results are nonetheless encouraging and suggest that luminescence demonstrates potential as a sediment transport indicator. However, caution is warranted when applying the model as the complex nature of sediment transport can sometimes invalidate underlying simplifications.

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Kinetics of infrared stimulated luminescence from feldspars

Cited by 72 publications

References 28 publications

Mathematical aspects of ground state tunneling models in luminescence materials

Mathematical aspects of ground state tunneling models in luminescence materials

Luminescence as a Sediment Tracer and Provenance Tool

On extracting sediment transport information from measurements of luminescence in river sediment

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