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Identification of Magnetic Reconnection in Plasma Turbulence Using a Dual-branch Lightweight Hybrid Convolutional Neural Network

  • Authors: Y. Yin, S. Y. Huang, Q. Y. Xiong, H. Zhang, Z. G. Yuan, K. Jiang, H. H. Wu, H. W. Zhan, Y. T. Tang, H. Bai

Y. Yin et al 2026 The Astrophysical Journal Supplement Series 287 .

  • Provider: AAS Journals

Caption: Figure 3.

A sample feature map representing (a) the current density, (b) the in-plane magnetic field strength, and (c) the in-plane electron velocity magnitude. The white arrows depict the respective variable for each panel, with their direction and length denoting the vector’s orientation and magnitude, respectively.

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