Novel method to indirectly reconstruct neutrinos in collider experiments

Abstract

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.