神经网络技术在核领域$\tau^-$和$\mu^-$的研究

N. Panagiotides, T. S. Kosmas
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摘要

当重轻子波函数已知时,原子核捕获重轻子(μ子或τ子)的速率以及重轻子到电子的转换率可以计算出来。分析计算任何轻子在任何原子核周围的波函数是不可行的,一方面,由于它们的玻尔半径很小,另一方面,由于它们的核延伸有限。本文利用神经网络的概念,提出了一种新的数值计算算法。这种新技术的主要优点是波函数可以解析地产生为s型函数的和。
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A Study of $\tau^-$ and $\mu^-$ in the Field of Nuclei Using Neural Network Techniques
The rate of a heavy lepton (muon or tau) capture by nuclei as well as the heavy lepton to electron conversion rate can be calculated when the heavy lepton wavefunction is known. Analytical calculation of the wavefunction of any of these leptons around any nucleus is not feasible owning to their small Bohr radii, on the one hand, and to the finite nuclear extend on the other. A new numerical calculation algorithm is proposed hereby, which makes use of the concept of neural networks. The main advantage of this new technique is that the wave function is produced analytically as a sum of sigmoid functions.
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