Paper
26 June 2017 Detection of nanoparticle changes in nanocomposite active sample using random laser emission
Ehsan Shojaie, Khosro Madanipour
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Abstract
In this work, a simple method is introduced for estimating the number of the nanoparticles in an active sample based on random laser theory. The sample includes nanoparticles which are distributed randomly. Because of multiple scattering random laser action can occurs when the sample is pumped optically. Here, one-dimensional random laser system is considered and the sample changes are added to the system by changing the number or size of layer. The spectral emission of the sample is calculated by transfer matrix method. The statistical behavior of output emission spectrum is achieved by calculating the averaged spectrum from many random realizations. The results of simulation shows that changes in the number of nanoparticles (or in the averaged size) can be estimated from the statistical random laser output emission and averaged lasing wavelength. This proposed method is fast, non-contact, and needs to a simple setup. Also, it can be used for biological and chemical medium for analysis of different parameters which effect on the spectral random emission.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ehsan Shojaie and Khosro Madanipour "Detection of nanoparticle changes in nanocomposite active sample using random laser emission", Proc. SPIE 10330, Modeling Aspects in Optical Metrology VI, 103301L (26 June 2017); https://doi.org/10.1117/12.2270275
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Cited by 1 scholarly publication.
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KEYWORDS
Random lasers

Nanoparticles

Statistical analysis

Biological research

Dielectrics

Nanocomposites

Particles

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