一种灵活高效的缺失横动量重构方法。

Q1 Computer Science
Computing and Software for Big Science Pub Date : 2024-01-01 Epub Date: 2024-01-02 DOI:10.1007/s41781-023-00110-z
William Balunas, Donatella Cavalli, Teng Jian Khoo, Matthew Klein, Peter Loch, Federica Piazza, Caterina Pizio, Silvia Resconi, Douglas Schaefer, Russell Smith, Sarah Williams
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引用次数: 0

摘要

缺失横动量是强子对撞机物理学的一个重要观测指标,是对中微子和假想暗物质粒子等 "隐形 "物体运动学的唯一约束。由于许多重构粒子候选体之间能量和动量分布的模糊性,以尽可能高的精度计算缺失的横动量,尤其是在能量前沿实验中,可能是一个具有挑战性的过程。本文介绍了一种新颖的解决方案,它可以有效地编码计算缺失横动量所需的信息,并给出组成重构对象的任意选择标准。利用量热计和内部探测器的信息抑制堆积是重建程序的一个组成部分。能量校准和系统变化自然也会得到支持。按照这一策略,ATLAS 协作组能够在大型强子对撞机运行 2 和 3 期的各种分析中以及在未来的分析中优化使用缺失横动量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Flexible and Efficient Approach to Missing Transverse Momentum Reconstruction.

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.

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来源期刊
Computing and Software for Big Science
Computing and Software for Big Science Computer Science-Computer Science (miscellaneous)
CiteScore
6.20
自引率
0.00%
发文量
15
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