Elementary Particle Physics with ATLAS

位于瑞士日内瓦的欧洲核子研究中心（CERN）的大型强子对撞机（LHC）上的ATLAS物理项目正在全面运行，LHC现在以8 TeV的碰撞能量进行质子-质子碰撞。纽约大学小组继续在ATLAS探测器触发系统的实施中发挥主导作用，该系统用于选择具有大或不平衡横向动量特征的碰撞。通过这一努力计划，纽约大学的小组建议继续寻找新的现象，进一步发展统计工具和技术，并保持对横向能量触发特征的责任。该小组还致力于成为新的分析档案策略的领导者，并继续研发升级后的对撞机HL-LHC所需的跟踪器升级。从分析的角度来看，该小组将利用测量双轻子最终态的顶反顶产生截面所获得的专业知识，在顶扇区寻找希格斯玻色子和奇异物理。如果在寻找希格斯玻色子的过程中发现了一种新粒子，该小组计划利用其在统计技术和矢量玻色子聚变产生模式方面的专业知识来测量这种新粒子的性质，并确认它是否确实是导致电弱对称性破缺的原因。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，这是一种来自暗物质搜索观测的一类模型的通用预测。这些分析还为团队提供了处理意外数据所需的深度和广度的经验。在技术上，为了升级ATLAS，纽约大学已经开发了一种红外激光系统，用于研究原型硅带探测器，用于HL-LHC所需的ATLAS升级。它计划开发一种改进的系统，以便对ATLAS/CERN正在开发的数字芯片读出的探测器进行快速测试。纽约大学的研究小组致力于两个截然不同的领域，他们的研究工作具有更广泛的影响。其中第一个是在公共活动中展示大型大型强子对撞机物理项目。在纽约、伊利诺斯州和加利福尼亚州的活动中，成千上万的不同观众观看了这次展览。该小组建议通过进一步发展这个展览，增加新的互动组件和更新的结果来扩展这个公众外展。这将在纽约大学教学与学习系的教育工作者和学生的参与下完成，他们将帮助使这个展览更容易被K-12的人所接受。该展品将在科学博览会和其他场所展出。对于第二项努力，纽约大学小组积极参与数据保存和开放获取的重要领域。作为该提案的一部分，继续开发的统计工具（以RECAST的名义）在物理学界产生了更广泛的影响，并且也引起了物理学界以外的关注。如何将高能物理学中的数据存档以供将来使用（比如用已有的数据来对抗新的理论）是一个令人生畏的问题，因为进行这种分析所需的专业知识和软件会随着时间的推移而消失。纽约大学小组提出的RECAST框架代表了一种数据管理和访问的新方法，它可以解决大型强子对撞机的一个关键问题，并可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.