Development of ATLAS Primary Vertex Reconstruction for LHC Run 3
Development of ATLAS Primary Vertex Reconstruction for LHC Run 3
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LHC Run 3 的 ATLAS 主要顶点重建开发
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
I. Sanderswood
中科院分区：
文献类型：
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作者：
I. Sanderswood
大型强子对撞机(LHC)光度的增加对ATLAS实验中的初级顶点重建提出了挑战。在最近完成的第二次运行中，观察到每束交叉有70次或更多的非弹性质子-质子碰撞，第三次运行中预计会有更高的顶点密度或堆积。为了应对这一挑战，ATLAS开发了新的工具：高斯径迹密度种子探测器和自适应多顶点探测器。前者构造了一个简单但功能强大的轨迹密度解析模型来定位候选顶点，而后者则采用全局方法进行顶点查找和拟合，允许顶点竞争附近的轨迹。这些会议记录了这种新的顶点重建软件的策略、优化和初步性能，突出了在运行3堆积条件下在顶点查找效率、纯度和空间分辨率方面的改进。
Increasing luminosity at the Large Hadron Collider (LHC) poses a challenge for primary vertex reconstruction in the ATLAS experiment. A rate of 70 or more inelastic proton-proton collisions per beam crossing was observed during the recently-completed Run 2 and even higher vertex density, or pile-up, is expected in Run 3. To meet this challenge, ATLAS has developed new tools: a Gaussian track density seed finder and an adaptive multi-vertex finder. The former constructs a simple but powerful analytic model of the track density along the beam axis to locate candidate vertices, and the latter applies a global approach to vertex finding and fitting, allowing vertices to compete for nearby tracks. These proceedings document the strategy, optimization and preliminary performance of this new vertex reconstruction software, highlighting improvements in vertex finding efficiency, purity and spatial resolution under Run 3 pile-up conditions.