Physics at Flavor Factories

该奖项为辛辛那提大学（UC）实验高能物理组的重口味物理计划提供持续一年的支持，Michael Sokoloff - PI。智力价值集中在电弱对称性破缺和新粒子的潜在存在的关键问题。使用BaBar数据集的拟议研究将促进我们对标准模型物理的理解，并为学生提供参与高质量数据分析的机会。更广泛的影响包括研究生和本科生的教育和指导，继续参与UC QuarkNet计划，以及在密集计算和医疗应用方面的有益贡献。

This award provides continued one-year support for the heavy flavor-physics program of the experimental high-energy physics group at the University of Cincinnati (UC), Michael Sokoloff - PI. The intellectual merit focuses on key questions in Electroweak Symmetry Breaking and the potential existence of new particles. The proposed research using the BaBar data set will advance our understanding of Standard Model physics and provide students with opportunities to engage in high quality data analyses. The broader impact includes the education and mentoring of graduate and undergraduate students and continued involvement in the UC QuarkNet program as well as beneficial contributions in intensive computing and medical applications.