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一种灵活高效的缺失横向动量重建方法。

A Flexible and Efficient Approach to Missing Transverse Momentum Reconstruction.

作者信息

Balunas William, Cavalli Donatella, Khoo Teng Jian, Klein Matthew, Loch Peter, Piazza Federica, Pizio Caterina, Resconi Silvia, Schaefer Douglas, Smith Russell, Williams Sarah

机构信息

Cavendish Laboratory, University of Cambridge, Cambridge, UK.

INFN Sezione di Milano & Dipartimento di Fisica, Università di Milano, Milano, Italy.

出版信息

Comput Softw Big Sci. 2024;8(1):2. doi: 10.1007/s41781-023-00110-z. Epub 2024 Jan 2.

Abstract

Missing transverse momentum is a crucial observable for physics at hadron colliders, being the only constraint on the kinematics of "invisible" objects such as neutrinos and hypothetical dark matter particles. Computing missing transverse momentum at the highest possible precision, particularly in experiments at the energy frontier, can be a challenging procedure due to ambiguities in the distribution of energy and momentum between many reconstructed particle candidates. This paper describes a novel solution for efficiently encoding information required for the computation of missing transverse momentum given arbitrary selection criteria for the constituent reconstructed objects. Pileup suppression using information from both the calorimeter and the inner detector is an integral component of the reconstruction procedure. Energy calibration and systematic variations are naturally supported. Following this strategy, the ATLAS Collaboration has been able to optimise the use of missing transverse momentum in diverse analyses throughout Runs 2 and 3 of the Large Hadron Collider and for future analyses.

摘要

横向动量缺失是强子对撞机物理中的一个关键可观测量,是对诸如中微子和假设的暗物质粒子等“不可见”物体运动学的唯一约束。由于许多重建粒子候选者之间能量和动量分布存在模糊性,以尽可能高的精度计算横向动量缺失,特别是在能量前沿的实验中,可能是一个具有挑战性的过程。本文描述了一种新颖的解决方案,用于在给定组成重建物体的任意选择标准的情况下,有效编码计算横向动量缺失所需的信息。利用来自量能器和内探测器的信息进行堆积抑制是重建过程的一个组成部分。自然支持能量校准和系统变化。遵循这一策略,ATLAS合作组能够在大型强子对撞机的第2和第3阶段运行的各种分析以及未来的分析中优化横向动量缺失的使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e40/10761467/7934c6d980ed/41781_2023_110_Fig1_HTML.jpg

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