arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0808.0144hep-ph
收藏

LHC处(无)约束MSSM参数的自下而上重建场景

Bottom-Up Reconstruction Scenarios for (un)constrained MSSM Parameters at the LHC

J. -L. Kneur, N. Sahoury

摘要:

我们考虑一些具体的逆问题或“自下而上”的重建策略在大型强子对撞机的一般和约束MSSM参数,从一个合理的有限的一组sparticle识别和质量测量,主要使用胶子/夸克级联衰变,加上最终最轻的希格斯玻色子玻色子质量。对于三个自然分离的部门:高吉诺/希格斯诺,夸克/slepton,希格斯参数,我们研究不同的一步一步的算法的基础上相当简单,完全分析,质量和基本MSSM参数之间的倒置关系。这也包括一些相关的辐射校正计算的合理的好的近似。我们区分的约束条件,获得了一个一般的MSSM与普遍性的假设,在三个不同的部门。我们的结果进行了比较,在不同的阶段,从更标准的“自上而下”的模型拟合数据的确定,并最终结合到一个全球性的所有相关参数的确定。我们的方法提供了补充信息,更传统的分析,并不限于特定的大型强子对撞机测量的特异性。此外,自下而上的一般MSSM参数的重整化群演化,是在这个框架中的一个重要组成部分,说明作为一个新的公开可用的选项MSSM谱计算代码“SuSpect”。

英文摘要:

We consider some specific inverse problem or "bottom-up" reconstruction strategies at the LHC for both general and constrained MSSM parameters, starting from a plausibly limited set of sparticle identification and mass measurements, using mainly gluino/squark cascade decays, plus eventually the lightest Higgs boson mass. For the three naturally separated sectors of: gaugino/Higgsino, squark/slepton, and Higgs parameters, we examine different step-by-step algorithms based on rather simple, entirely analytical, inverted relations between masses and basic MSSM parameters. This includes also reasonably good approximations of some of the relevant radiative correction calculations. We distinguish the constraints obtained for a general MSSM from those obtained with universality assumptions in the three different sectors. Our results are compared at different stages with the determination from more standard "top-down" fit of models to data, and finally combined into a global determination of all the relevant parameters. Our approach gives complementary information to more conventional analysis, and is not restricted to the specific LHC measurement specificities. In addition, the bottom-up renormalization group evolution of general MSSM parameters, being an important ingredient in this framework, is illustrated as a new publicly available option of the MSSM spectrum calculation code "SuSpect".

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑