Elementary Particle Physics with ATLAS

位于瑞士日内瓦欧洲核子研究中心的大型强子对撞机(LHC)的ATLAS物理计划正在全面运行，LHC现在以8TeV的碰撞能量提供质子-质子碰撞。纽约大学小组继续在实施ATLAS探测器的触发系统方面发挥主导作用，该系统用于选择具有大的或不平衡的横向动量信号的碰撞。通过这一努力计划，纽约大学小组建议继续寻找新的现象，进一步开发统计工具和技术，并保持对横向能量触发信号的责任。该小组还致力于成为新的分析档案战略的领导者，并继续研发升级后的对撞机HL-LHC所需的跟踪器升级工作。从分析上讲，该小组将利用从测量双轻子终态的顶部-反顶部产生截面获得的专业知识，在顶级部门搜索希格斯玻色子和奇异物理。如果在搜索希格斯玻色子的过程中发现了新粒子，该小组计划利用其在统计技术和矢量玻色子融合生产模式方面的专业知识来测量新粒子的属性，并确认它是否真的对弱电对称破缺负责。纽约大学还计划委托一个来自高度准直的轻子群的新探测器签名，这是从暗物质搜索中观察到的一类模型得出的通用预测。这些分析还为该小组提供了必要的深度和广度的经验，以应对数据中的意外。从技术上讲，为了升级ATLAS，纽约大学已经开发了一种红外激光系统，用于研究用于HL-LHC所需的ATLAS升级的硅条探测器原型。它计划开发一种改进的系统，以允许对ATLAS/CERN正在开发的数字芯片读出的探测器进行快速测试。纽约大学小组参与了他们的研究工作的两个不同领域的更广泛影响。第一个是开发大型展览，展示大型强子对撞机物理计划，在公共活动中展出。在纽约、伊利诺伊州和加利福尼亚州的活动中，数千人在不同的观众中观看了展览。该小组建议通过进一步发展这一展览、增加新的互动部分和更新结果来扩大这一公共宣传范围。这将在教育工作者和纽约大学教学部门的学生的参与下完成，他们将帮助K-12人口更容易地接触到这个展览。展览将在科学展览和其他场所展出。对于第二项努力，纽约大学小组积极参与数据保护和开放获取这一重要领域。作为这一提议的一部分，继续开发的统计工具(名称为RECAST)在物理学界产生了更广泛的影响，并在物理学之外获得了关注。如何将高能物理中的数据存档以供未来使用(例如用现有数据对抗新理论)是一个令人生畏的问题，因为进行此类分析所需的专业知识和软件会随着时间的推移而褪色。纽约大学小组提出的重铸框架代表了一种新的数据管理和访问方法，可以解决大型强子对撞机的一个关键问题，并作为广泛科学学科的模型。

The ATLAS physics program at the Large Hadron Collider (LHC) at CERN, Geneva, Switzerland is in full operation, with the LHC now delivering proton-proton collisions at 8 TeV collision energy. The NYU group continues to take a leading role in the implementation of the ATLAS detector's triggering system used to select collisions with large or imbalanced transverse momentum signatures. Through this program of effort, the NYU group proposes to continue its searches for new phenomena, to further develop statistical tools and techniques, and to maintain responsibility for the transverse energy trigger signatures. The group also aims to be a leader in a new analysis archival strategy and to continue R&D work on the tracker upgrade needed for the upgraded collider, the HL-LHC.Analytically, the group will leverage the expertise gained from measurement of the top-antitop production cross section in the dilepton final state to search for the Higgs boson and exotic physics in the top sector. If a new particle is discovered in searches for the Higgs boson, the group plans to use its expertise in statistical techniques and the vector boson fusion production mode to measure the new particle's properties and confirm if it is indeed responsible for electroweak symmetry breaking. NYU also plans to commission a new detector signature from highly collimated groups of leptons, a generic prediction from a class of models motivated by observations in dark matter searches. These analyses also provide the group with the depth and breadth of experience necessary to deal with surprises in the data.Technically, for upgrade of ATLAS, NYU has developed an IR-laser system for study of prototype silicon strip detectors to be used in the ATLAS upgrade required for the HL-LHC. It plans to develop a modified system to allow rapid tests of detectors read out with digital chips being developed by ATLAS/CERN.The NYU group is engaged in two distinct areas of broader impacts of their research effort. The first of these is the development a large exhibit on the LHC physics program for display at public events. The exhibit has been seen by thousands of people in diverse audiences in events in New York, Illinois, and California. The group proposes to extend this public outreach by further developing this exhibit, adding new interactive components and updated results. This will be done with the involvement of educators and students from the NYU Department of Teaching and Learning, who will help make this exhibit even more accessible to the K-12 population. The exhibit will be shown at science fairs and other venues.For the second effort, the NYU group is actively involved in the important area of Data Preservation and Open Access. The statistical tools (under the name RECAST) that continue to be developed as part of this proposal have broader impacts within the physics community, and are gaining attention outside of physics as well. The question of how to archive data in high energy physics that allows future use (such as confronting new theories with preexisting data) is a daunting one, as the expertise and software required to do such analysis fade with time. The RECAST framework proposed by the NYU group represents a new approach to data management and access, which can address a crucial issue for the LHC and serve as a model for a broad range of scientific disciplines.