AI 中文总结
该研究利用质子-质子对撞数据及相关算法对大半径喷注进行 Run 2 校准，给出基于蒙特卡罗的校正和原位方法结果，喷注能量和质量标度残余不确定性在一定动量范围可控，有助于超出标准模型粒子搜索及精确标准模型测量。
AI 中文摘要
ATLAS 实验基于蒙特卡罗模拟和碰撞数据开发了广泛程序来校准大半径喷注的响应。本文描述了用质子-质子对撞产生的数据对由统一流对象重建并经软滴算法修饰的大半径喷注进行 Run 2 校准。给出了基于蒙特卡罗的校正以及用于验证碰撞数据中喷注能量和质量标度及其分辨率的原位方法的结果。喷注能量和质量标度的残余不确定性在横向动量高达 1 TeV 时接近 1%，高达 2 TeV 时为 2 - 3%，有助于对超出标准模型粒子进行灵敏搜索以及对带助推对象进行精确的标准模型测量。
英文摘要
The ATLAS experiment has developed an extensive procedure based on Monte Carlo simulation and collision data to calibrate the response of large-radius jets. This paper describes the Run 2 calibration of large-radius jets reconstructed from Unified Flow Objects and groomed with the Soft Drop algorithm, using data produced in proton-proton collisions at $\sqrt{s}=13$ TeV. Results are presented for the Monte Carlo-based correction and for the in situ methods that are used to validate the jet energy and mass scales and their resolutions in collision data. The residual uncertainty on the jet energy and mass scales is close to 1% for transverse momenta up to 1 TeV and is 2-3% up to 2 TeV, enabling sensitive searches to beyond the Standard Model particles and precise Standard Model measurements with boosted objects.
Comments54 pages in total, author list starting page 37, 20 figures, 0 tables, submitted to EPJC. All figures including auxiliary figures are available at http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/JETM-2024-03
