Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Optimizing LED spectrum fitting using double Gaussian functions
View through CrossRef
In order to minimize errors during the LED spectrum fitting process and achieve a closer match between the fitted spectrum and the target spectrum, a method employing double Gaussian functions for fitting is proposed. This approach, in comparison to the widely applied modified Gaussian model, avoids issues such as sidelobe uplift when dealing with narrow-band LED spectra. It demonstrates effective fitting for narrow-band LED spectra, exhibiting higher fitting accuracy at the bottom of the spectrum compared to the simple Gaussian model. Moreover, this fitting method introduces no additional fitting variables. The model is constructed by combining two Gaussian functions with weighted summation, and optimizing the weighted coefficients of the two Gaussian functions achieves the best fitting results. Finally, the proposed model is applied to fit various LED spectra, yielding satisfactory results. The outcomes indicate that the overall fitting performance of the double Gaussian model surpasses that of the Gaussian model and the modified Gaussian model.
Politechnika Wroclawska Oficyna Wydawnicza
Title: Optimizing LED spectrum fitting using double Gaussian functions
Description:
In order to minimize errors during the LED spectrum fitting process and achieve a closer match between the fitted spectrum and the target spectrum, a method employing double Gaussian functions for fitting is proposed.
This approach, in comparison to the widely applied modified Gaussian model, avoids issues such as sidelobe uplift when dealing with narrow-band LED spectra.
It demonstrates effective fitting for narrow-band LED spectra, exhibiting higher fitting accuracy at the bottom of the spectrum compared to the simple Gaussian model.
Moreover, this fitting method introduces no additional fitting variables.
The model is constructed by combining two Gaussian functions with weighted summation, and optimizing the weighted coefficients of the two Gaussian functions achieves the best fitting results.
Finally, the proposed model is applied to fit various LED spectra, yielding satisfactory results.
The outcomes indicate that the overall fitting performance of the double Gaussian model surpasses that of the Gaussian model and the modified Gaussian model.
Related Results
Odd version Mathieu-Gaussian beam based on Green function
Odd version Mathieu-Gaussian beam based on Green function
Like the theoretical pattern of non-diffracting Bessel beams, ideal non-diffracting Mathieu beams also carry infinite energy, but cannot be generated as a physically realizable ent...
On Tribonacci Functions and Gaussian Tribonacci Functions
On Tribonacci Functions and Gaussian Tribonacci Functions
In this work, Gaussian Tribonacci functions are defined and investigated on the set of real numbers $\mathbb{R},$ \textit{i.e}., functions $f_{G}$ $:$ $\mathbb{R}\rightarrow \mathb...
Isolation, characterization and semi-synthesis of natural products dimeric amide alkaloids
Isolation, characterization and semi-synthesis of natural products dimeric amide alkaloids
Isolation, characterization of natural products dimeric amide alkaloids from roots of the Piper chaba Hunter. The synthesis of these products using intermolecular [4+2] cycloaddit...
Investigating the Influence of Asymmetric Error Bars on Atmospheric Retrievals
Investigating the Influence of Asymmetric Error Bars on Atmospheric Retrievals
To produce spectra, MCMC (or similar) algorithms are used to constrain the transit depth for lightcurves in each wavelength channel. The central value of this fitting then serves a...
Data-driven Warping of Gaussian Processes for Spatial Interpolation of Skewed Data
Data-driven Warping of Gaussian Processes for Spatial Interpolation of Skewed Data
<p>Gaussian processes are a flexible machine learning framework that can be used for spatial interpolation and space-time prediction as well. Gaussian process regress...
Adaptive and augmented nonlinear filters : theory and applications
Adaptive and augmented nonlinear filters : theory and applications
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Nonlinear estimation and filtering have been intensively studied for decades since it has been widely used in...
Least-Squares Fitting of Multidimensional Spectra to Kubo Lineshape Models
Least-Squares Fitting of Multidimensional Spectra to Kubo Lineshape Models
We report a comprehensive study of the efficacy of least-squares fitting of multidimensional spectra to generalized Kubo lineshape models and introduce a novel least-squares fittin...
The second four-electron singlet in the Hubbard impurity model
The second four-electron singlet in the Hubbard impurity model
We consider the energy operator of four-electron systems in the Hubbard impurity model and investigate the structure of the essential spectrum and discrete spectra for the second s...