FPGA implementation of a real-time digital pulse processing analysis for radiation detectors
J Zhang, X Qin, MY Zhao, X Chen - Applied Radiation and Isotopes, 2021 - Elsevier
A new universal, flexible firmware has been implemented on field-programmable gate array
(FPGA) for gamma-ray spectroscopy. The firmware of the FPGA runs on a digitizer that we …
(FPGA) for gamma-ray spectroscopy. The firmware of the FPGA runs on a digitizer that we …
Application of an LSTM model based on deep learning through X-ray fluorescence spectroscopy
T Lin, LI Yong, T Yufeng, LIU Ze, LIU Bingqi - Nuclear Techniques, 2023 - hjs.sinap.ac.cn
BackgroundTraditional X-ray fluorescence spectrum analysis has the limitations of poor
accuracy of the characteristic peak counting rate and shadow peak. PurposeThis study aims …
accuracy of the characteristic peak counting rate and shadow peak. PurposeThis study aims …
Application of Transformer Model in Peak Correction of X-Ray Fluorescence Spectra
A novel estimation model based on deep learning is proposed for estimating the pulse
amplitude of photons incident upon a silicon drift detector in X-ray spectroscopic systems. It …
amplitude of photons incident upon a silicon drift detector in X-ray spectroscopic systems. It …
Impact of colored noise in pulse amplitude measurements: A time-domain approach using differintegrals
A Regadio, J Tabero, S Sanchez-Prieto - Nuclear Instruments and Methods …, 2016 - Elsevier
In particle detectors, pulse shaping is the process of changing the waveform of the pulses in
order to maximize the signal to noise ratio. This shaping usually only takes into account …
order to maximize the signal to noise ratio. This shaping usually only takes into account …
[PDF][PDF] 基于深度学习的LSTM 模型在X 荧光光谱中的应用
唐琳， 李勇， 唐羽锋， 刘泽， 柳炳琦 - NUCLEAR TECHNIQUES, 2023 - researching.cn
摘要在X 荧光光谱分析中, 为了解决传统谱分析方法中存在的特征峰计数率损失以及影子峰的
问题, 本文拟采用一种基于深度学习的长短期记忆(Long and Short Term Memory, LSTM) …
问题, 本文拟采用一种基于深度学习的长短期记忆(Long and Short Term Memory, LSTM) …
基于深度学习的LSTM 模型在X 荧光光谱中的应用= Application of an LSTM model based on deep learning through X-ray fluorescence spectroscopy
L Tang, Y Li, Y Tang, Z Liu, B Liu - 核技术/Nuclear Techniques, 2023 - dr.ntu.edu.sg
在X 荧光光谱分析中, 为了解决传统谱分析方法中存在的特征峰计数率损失以及影子峰的问题,
本文拟采用一种基于深度学习的长短期记忆(Long and Short Term Memory, LSTM) …
本文拟采用一种基于深度学习的长短期记忆(Long and Short Term Memory, LSTM) …
Filtering of pulses from particle detectors using neural networks by dimensionality reduction
This article presents a comparison between different filtering methods based on
dimensionality reduction for pulses generated on particle detectors. This reduction has been …
dimensionality reduction for pulses generated on particle detectors. This reduction has been …