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関連する概念動画

IR Spectrometers01:25

IR Spectrometers

1.4K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
1.4K
Upsampling01:22

Upsampling

309
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
309
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

1.1K
The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
1.1K
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

2.3K
When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
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関連する実験動画

Updated: Sep 10, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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統合スペクトルセンサのアプリケーション固有の最適化

D M J van Elst1, A van Klinken1, M S Cano-Velázquez1

  • 1Department of Applied Physics and Science Education, Eindhoven Hendrik Casimir Institute, Eindhoven University of Technology, NL 5600 MB, Eindhoven, The Netherlands.

ACS photonics
|August 27, 2025
PubMed
まとめ

この研究は近赤外線スペクトルセンサーの最適化のためのアルゴリズムを提示します. この新しい方法はピクセル数が少ない高精度で,費用対効果の高い,カスタマイズされたセンシングソリューションを実現します.

キーワード:
統合近赤外線光学センサー粒子群の最適化スペクトルセンシングスペクトロメトリー

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Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
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関連する実験動画

Last Updated: Sep 10, 2025

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科学分野:

  • スペクトロスコーピー
  • 光学センサー
  • 材料科学

背景:

  • 近赤外線 (NIR) のスペクトルセンシングは,非破壊的な材料分析に不可欠です.
  • 従来のセンサーは固定スペクトル帯を使用し,アプリケーション固有の最適化を制限します.

研究 の 目的:

  • NIRスペクトルセンサーを特定の用途に合わせたアルゴリズムを開発する.
  • すべての可能なスペクトル帯の組み合わせを調査することによってセンサ設計を最適化します.

主な方法:

  • NIRセンサーのスペクトル帯選択を最適化するためのアルゴリズムが開発されました.
  • センサーの性能は,手動で選択された設計と汎用センサーと比較して評価されました.
  • 実験は製造された4ピクセル装置を使って行われました.

主要な成果:

  • アルゴリズムで最適化されたセンサーは 手動で設計されたものに比べて 優れた性能を示しました
  • 高い感知精度は,最小のピクセル数 (例えば,4ピクセル) でさえ達成されました.
  • 製造されたデバイスは,実用的なアプリケーションで汎用センサーの精度を超えました.

結論:

  • アルゴリズムによるスペクトル帯の最適化により,高度に効率的で,アプリケーション特有のNIRセンサーが実現できます.
  • このアプローチは,読み取りが簡素化された費用対効果の高いスペクトルセンサーの作成を容易にする.
  • 潜在的アプリケーションは産業用および消費用電子機器に及ぶ.