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English(EN) Pairton: Iterative Reconstruction of Short-Lived Particles

Pairton框架推动高能物理粒子重建进展

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了Pairton，一种用于重建高能碰撞事件中短寿命粒子的新颖迭代框架。该方法将粒子重建建模为图结构上的掩码预测过程，学习条件分布来预测粒子衰变关系。Pairton利用基于pairformer的架构，在全强子化的 $tar{t}$ 衰变上实现了最先进的性能，并提供了一种适用于各种粒子拓扑的灵活范式。 AI

影响 这项研究将生成建模技术融入高能物理领域，有望加速粒子物理学的发现。

排序理由 该集群包含一篇详细介绍高能物理粒子重建新框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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Pairton框架推动高能物理粒子重建进展

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该集群包含一篇详细介绍高能物理粒子重建新框架的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Andreas Hermansen, Chris Scheulen, Tobias Golling ·

    Pairton：短寿命粒子的迭代重建

    arXiv:2608.14278v1 Announce Type: cross Abstract: We present Pairton, an iterative framework for reconstructing short-lived particles in high-energy collision events. By formulating particle reconstruction as a masked prediction process over graph structures, Pairton learns condi…

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