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相关概念视频

NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

646
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
646
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

991
The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
991
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

982
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
982
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

169
Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
169

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相关实验视频

Updated: May 21, 2025

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
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基于深度学习的堆积校正算法用于高计数率测量下的光谱数据.

Yiwei Huang1,2, Xiaoying Zheng1,2, Yongxin Zhu1,2

  • 1Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个深度学习框架来纠正聚效应在玛射线光谱学. 这种新的方法准确地回收能量光谱,改善同位素识别和活动估计在高计数率场景.

关键词:
深度学习是一种深度学习.高计数率 计数率很高.核光谱学 核光谱学脉冲堆积起来了.

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科学领域:

  • 核科学与工程 核科学与工程
  • 应用物理 应用物理
  • 数据科学数据科学数据科学

背景情况:

  • 马射线光谱对于通过能量光谱分析识别放射性材料至关重要.
  • 在光谱学中,高计数率会导致堆积效应,扭曲光谱并阻碍准确分析.
  • 为了可靠的核材料表征,需要自动化和精确的堆积校正方法.

研究的目的:

  • 开发一种新的深度学习 (DL) 框架,用于准确的能量频谱回收在马射线光谱学.
  • 在高计数率条件下解决和减轻由堆积效应引起的光谱扭曲.
  • 提高同位素识别和活动估计在核科学应用中的准确性.

主要方法:

  • 一个2D注意力U-Net深度学习模型被用于能量频谱恢复.
  • 堆积信号的计数率信息被集成到DL框架中.
  • 来自预处理的脉冲信号的能量-持续矩阵作为模型输入,提取时间和空间特征.
  • 训练数据是使用开源模拟器和公共玛频谱数据库生成的.

主要成果:

  • 拟议的DL框架有效地预测了精确的能量光谱,最大限度地减少了错误.
  • 使用Kullback-Leibler分歧,平均平方误差,能量分辨率和半最大的全宽度来验证性能.
  • 该模型即使在严重的堆积效应和高计数率下也表现出了稳定性和准确性.

结论:

  • 开发的框架为马射线光谱学中自动化堆积校正提供了强大的解决方案.
  • 这种方法显著提高了用于高活性核分析的频谱估计的准确性.
  • 时间和空间学习的整合显示出对推进核测量技术的前景.