RUI: Supersymmetric Theory, Phenomenology, and Tool Building

该奖项资助了Joel W.步行者在山姆休斯顿州立大学在亨茨维尔，得克萨斯州。研究活动将包括广泛相关的主题的现象学调查“超对称”，以及工程和分销的原始软件工具，提高生产力和效率，这和相关的研究。 超对称性是一个想法，可以保护2012年大型强子对撞机（LHC）观察到的相对较轻的希格斯玻色子，使其不会漂移到更重的值。 它的工作原理是假设存在一类新的粒子，它们的相互作用会自然地抵消已知粒子的不稳定效应。 这些超对称粒子同时为宇宙学的“暗物质”提供了一个合适的候选者，它们本身也是大型强子对撞机碰撞中发现的主要目标。 努力澄清超对称性在低能物理中的作用，以及寻找新的基本粒子和相互作用，有利于推进基础科学知识的国家利益。 萨姆休斯顿州立大学是一所主要的本科院校，以其女性，少数民族和低收入学生的比例过高而自豪。 具体活动将被指定为本科生的参与，是足够狭窄和系统的范围，让学生在早期的时刻富有成效地参与，即使他们正在成为更广泛的教育。 这种现实世界的研究接触提供了更广泛的影响自信，团队整合，算法问题解决和数据的系统处理，同时提高了成功的高能物理研究生过渡的可能性。 更技术性的是，具体的调查主题包括新的超对称质量等级的实验特征，独特衰变模式的隔离，如长链级联，碰撞机判别式的当代应用，如提升事件拓扑，探测暗物质自旋组成的方法，和现象学的动机良好的替代品的最小超对称图片，如字符串-导出了NMSSM中希格西诺到单重暗物质候选者的大体积情景和衰变。 一个关键的方法，采用了前将是数值生成和分析的蒙特卡罗对撞机数据模拟。 对这些目标的支持也将通过编写、记录和传播对同样感兴趣的研究人员有用的程序来实现，例如，安全、快速地计算非对称两步MT 2事件统计，以及快速地选择、优化、分析和可视化模拟对撞机事件数据。

This award funds the research of Professor Joel W. Walker at Sam Houston State University in Huntsville, Texas.Research activities are to include the phenomenological investigation of topics broadly related to the subject of "supersymmetry", as well as the engineering and distribution of original software tools enhancing the productivity and efficiency of this and related studies. Supersymmetry is an idea that may protect the relatively light mass of the Higgs Boson observed by the Large Hadron Collider (LHC) in 2012 from drifting to a much heavier value. It works by hypothesizing the existence of a new class of particles whose interactions would naturally cancel the destabilizing effects of the known particles. These supersymmetric particles simultaneously provide a suitable candidate for the cosmological "dark matter" and are themselves a primary target for discovery in collisions at the LHC. Efforts to clarify the role of supersymmetry in low energy physics, and the search for new fundamental particles and interactions, benefit the national interest in advancing basic scientific knowledge. Sam Houston State University is a primarily undergraduate institution that takes pride in its proportional over-representation of female, minority, and low-income students. Specific activities will be designated for undergraduate participation that are sufficiently narrow and systematic in scope for students to productively engage at an early juncture, even as they are becoming more widely educated. This real-world research exposure offers broader impacts on self-confidence, team integration, algorithmic problem solving, and systematic handling of data, while enhancing the likelihood of transitioning a successful high-energy physics graduate student. More technically, specific topics itemized for investigation include experimental signatures of novel supersymmetric mass hierarchies, isolation of distinctive decay modes such as long-chain cascades, contemporary applications of collider discriminants such as a boosted event topology, methods for probing the spin composition of dark matter, and the phenomenology of well motivated alternatives to the minimal supersymmetric picture such as string-derived large volume scenarios and decays of the higgsino to the singlino dark matter candidate in the NMSSM. A key methodology employed in the prior will be the numerical generation and analysis of Monte Carlo collider data simulations. Support for these objectives will also be rendered by the authoring, documentation, and dissemination of programs useful to similarly interested researchers, e.g. for safe, fast computation of the asymmetric 2-step MT2 event statistic, and for the expeditious selection, optimization, analysis, and visualization of simulated collider event data.