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Spectrometer Algorithm

This guide provides some simple and easy to use design guidelines and formulas for designing, evaluating and comparing various diode array, diffraction grating based spectrometers designs The input to the design process is the wavelength range you want to cover and the optical. This guide provides some simple and easy to use design guidelines and formulas...

Spectrometer Algorithm

Spectrometer Design Guide

On the following pages are shown two common spectrometer geometries; the transmission grating based and the crossed Czerny-Turner. Also, the figures defines the key design parameters of a

Robust Full-Screen Wavelength Calibration Algorithm

After analyzing the working principles of a spectrometer and the causes of the above-mentioned difficulties, we propose the following calibration

Reconstructive spectrometers: hardware miniaturization and

The emergence of reconstructive spectrometers represents a transformative leap in spectral analysis, combining miniaturized encoding hardware with advanced computational

Algorithm-Enhanced High-Resolution Silicon Photonic Spectrometer

A high-resolution on-chip optical spectrometer is proposed and demonstrated with the performance enhancement by introducing a spectrum reconstruction algorithm. The present spectrometer consists

Advances in Miniaturized Computational Spectrometers

Presently, the algorithms used for spectral reconstruction in spectrometers can be generally classified into two categories: traditional

Investigation of a free-running dual comb spectrometer with a set of

To address this problem, this paper proposes a set of compound correction algorithms for a free-running DCS system, which successfully realizes the gas spectra restoration.

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Research on automatic spectral calibration algorithm for echelle

The main contribution of this paper lies in the improvement of the spectral calibration algorithm for echelle spectrometers. The following three aspects highlight the advancements made in

Robust Full-Screen Wavelength Calibration Algorithm

In spectrometer measurement, it is very important to accurately calibrate the wavelength of all target characteristic spectra. Although wavelength calibration methods have long been

A Spectral Reconstruction Algorithm of Miniature Spectrometer

The miniaturization of spectrometer can broaden the application area of spectrometry, which has huge academic and industrial value. Among various miniaturization approaches, filter

A computational spectrometer for the visible, near, and mid-infrared

Here we propose a computational spectrometer spanning visible to mid-infrared by combining the Single-Spinning Film Encoder (SSFE) with a deep learning-based reconstruction

DLP Spectrometer Design Considerations

ABSTRACT DLP® technology enables new functionality, performance, and tradeoffs in spectrometer design. For an overview of spectroscopy and how DLP compares to existing technologies, please

A simple spectrogram model for high-accuracy spectral calibration of

A simple five-parameters spectrogram model for the VIPA spectrometer frequency calibration is developed, which has the advantages of high accuracy, simple setup and easy-to-solve.

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Scanning spectrometers, which collect data at a sequence of wavelengths each of which is associated with a different grating orientation, have many of the same instrumental artifacts. However, in the

Fast spectrum reconstruction based-on interpretable network with

Computational spectrometers has a great potential for real-time detection in site measurements. Reconstruction algorithms play a pivotal role. Traditi

A Spectral Reconstruction Algorithm of Miniature Spectrometer Based

In this paper, we propose an algorithm of spectral reconstruction based on sparse optimization and dictionary learning. To verify the feasibility of the reconstruction algorithm, we design and implement

Multi-Parameter Auto-Tuning Algorithm for Mass Spectrometer

Quadrupole mass spectrometers (QMS) are widely used for clinical diagnosis and chemical analysis. To obtain the best experimental results, mass spectrometers must be calibrated

Spectral imaging with deep learning | Light: Science & Applications

This review categorizes deep-learning-based computational spectral imaging methods and provides insight into amplitude, phase, and wavelength-based light encoding strategies for deep

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Technical note

This reference is intended for preliminary fiber and communications infrastructure research. Optical interface, fiber type, port or core capacity, electrical input and output, enclosure protection, cooling, installation limits and applicable standards must be verified for the specific project.

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