Spectrum unfolding method and device for pulse X-ray energy spectrum measurement
An X-ray and energy spectrum technology, which is applied in the field of energy spectrum resolution, can solve the problems of initial spectral accuracy dependence, inability to pulse X-ray spectrum analysis, etc., and achieves the effect of solving the problem of initial spectral accuracy dependence.
Pending Publication Date: 2022-06-28
TSINGHUA UNIV
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[0005] This application provides a spectrum-decoding method and device for pulsed X-ray energy spectrum measurement. By using the neural network model and the spectrum-decomposition algorithm, the accurate distribution of pulsed X-rays inside and outside the target room can be obtained in real time, which solves the problem of accurate initial spectrum caused by traditional iterative methods. degree dependence, and the inability to solve the spectrum of pulsed X-rays in real time
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[0051] This application describes a number of embodiments, but the description is exemplary rather than restrictive, and it will be apparent to those of ordinary skill in the art that within the scope of the embodiments described in this application can be There are many more examples and implementations. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Unless expressly limited, any feature or element of any embodiment may be used in combination with, or may be substituted for, any other feature or element of any other embodiment.
[0052] This application includes and contemplates combinations with features and elements known to those of ordinary skill in the art. The embodiments, features and elements that have been disclosed in this application can also be combined with any conventional features or elements to form unique inventive solutions a...
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A spectrum unfolding method and system for pulse X-ray energy spectrum measurement are applied to pulse X-rays generated by an ultra-short and ultra-strong laser device, and the method comprises the following steps: combining a predetermined number of experimental data and simulation data into a first data set, and selecting a part of data from the first data set as a training data set of a neural network model; training the neural network model by using the training data set; according to diagnosis physical parameters, collected in real time, in the ultra-short and ultra-strong laser device, the diagnosis physical parameters and the trained neural network model are used for calculation to obtain a prediction energy spectrum; and obtaining a pulse X-ray energy spectrum through a preset spectrum unfolding algorithm according to the predicted energy spectrum.
Description
technical field [0001] The present application relates to the field of energy spectrum decomposition, in particular to a method and device for spectrum decomposition of pulsed X-ray energy spectrum measurement. Background technique [0002] Pulsed X-ray spectroscopy diagnosis is an important part of plasma diagnosis, condition monitoring and radiation protection of ultra-short and ultra-intensive laser devices. When the ultra-short and ultra-intensive laser interacts with the target material, the pulsed laser ionizes the atoms on the target surface in a very short time to form a high-temperature and high-density plasma. The main pulsed laser is coupled with the plasma, and the energy is transferred to the electrons through different acceleration mechanisms. The electrons interact with the target to generate pulsed X-rays. [0003] Pulsed X-rays have short pulse times (~ps) and large fluences (~10 12 keV -1 ·sr -1 ), wide energy spectrum range (~tens of MeV), etc., the co...
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IPC IPC(8): G01T1/36G06N3/08
CPCG01T1/36G06N3/08
Inventor 邱睿宋鸿鹄衣宏昌张辉武祯李君利
Owner TSINGHUA UNIV