标题： 新型方法在对撞机实验中间接重建中微子 显示英文标题

标题： Novel method to indirectly reconstruct neutrinos in collider experiments

摘要： 中微子在粒子物理学中扮演着关键角色，但在对撞机实验中无法追踪。如果在一个碰撞事件中存在一个以上的中微子，使用任何传统方法都无法提取中微子的信息。在本文中，我们介绍了一种创新的包容性标记方案，能够捕捉到未检测粒子（如中微子、$K_L^0$等）在信号侧的四动量。这是首次提出解决上述长期挑战的方案。我们的方案基于渐近递归向量序列，有可能催化对撞机实验中（半）轻子衰变重建技术的重大变革。该方案的应用和发展将极大地提高利用相同数据样本测量标准模型参数在（半）轻子扇区的精度，并可能在寻找新物理方面发挥关键作用。此外，我们方案中引入的渐近递归向量序列可能在其他领域（如机器学习）也有着广阔的应用前景。 显示英文摘要

摘要： Neutrinos play a crucial role in particle physics, but cannot be tracked in collider experiments. If more than one neutrino is present in a collision event, it is impossible to extract neutrinos' information using any of the traditional methods. In this Letter, we introduce an innovative inclusive-tagging scheme that is capable of capturing the four-momentum of an undetected particle on the signal side, such as a neutrino, $K_L^0$, etc., in collider experiments. This is the first proposed solution to the longstanding challenge outlined above. Our scheme, based on an asymptotically recursive vector sequence, has the potential to catalyze a significant transformation in the reconstruction techniques for (semi-)leptonic decays of collider experiments. The application and development of this scheme will greatly improve the precision of measurements of Standard Model parameters in the (semi-)leptonic sector with the same data samples, and could play a pivotal role in the search for new physics. Additionally, the asymptotically recursive (vector) sequence introduced in our scheme might also have promising applications in other fields, such as machine learning.