optical excitations
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2022 ◽  
pp. 41-57
Author(s):  
Vo Khuong Dien ◽  
Thi Han Nguyen ◽  
Ming-Fa Lin
Keyword(s):  

Solar RRL ◽  
2021 ◽  
Author(s):  
Ankit Chauhan ◽  
Ashish Prajapati ◽  
Carlos Calaza ◽  
Helder Fonseca ◽  
Patrícia C Sousa ◽  
...  

ACS Omega ◽  
2021 ◽  
Author(s):  
Vo Khuong Dien ◽  
Nguyen Thi Han ◽  
Wu-Pei Su ◽  
Ming-Fa Lin
Keyword(s):  

2021 ◽  
pp. 147715352110263
Author(s):  
Christophe Martinsons ◽  
Raed Hlayhel

The spectral responsivity of a photometer is usually measured using very narrow optical excitations, provided by a monochromator or a tuneable laser. This article describes a technique to measure the spectral responsivity using an arbitrary number of optical excitations having any type of spectral distribution. The problem is formulated as an inverse problem which is solved using a probabilistic approach based on Bayes’ theorem. The method requires a prior knowledge of the spectral responsivity, which can be proportional to the standard photopic function, with an uncertainty level related to the spectral match index of the photometer. Using this method, the estimation can be performed from data provided by a simple experimental set-up. The numerical application provides a stable and unique solution to the inverse problem, along with the estimation uncertainties. Using a tuneable LED source, the method was applied to an illuminance measurement head, giving an estimation of its spectral responsivity from 380 to 780 nm with a step of 1 nm. The results were in good agreement with data obtained by a monochromator-based technique. Our measurement had larger uncertainties towards the red and blue limits of the spectrum as the light source provided very little light at these wavelengths.


ACS Photonics ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 945-974 ◽  
Author(s):  
F. Javier García de Abajo ◽  
Valerio Di Giulio

2021 ◽  
Vol 60 (7) ◽  
pp. 4497-4507
Author(s):  
Carsten Albert ◽  
Tanita J. Ballé ◽  
Franziska A. Breitner ◽  
Yulia Krupskaya ◽  
Alexey Alfonsov ◽  
...  
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Nano Letters ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2658-2665
Author(s):  
Longji Cui ◽  
Yunxuan Zhu ◽  
Peter Nordlander ◽  
Massimiliano Di Ventra ◽  
Douglas Natelson

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