会议论文详细信息
| 20th International Conference on Computing in High Energy and Nuclear Physics | |
| Reconstruction of the Higgs mass in H → ττ Events by Dynamical Likelihood techniques | |
| 物理学;计算机科学 | |
| Bianchini, Lorenzo^1 ; Conway, John^2 ; Friis, Evan Klose^3 ; Veelken, Christian^4 | |
| Institute for Particle Physics, ETH Zurich, Zurich | |
| 8093, Switzerland^1 | |
| Department of Physics, University of California, Davis | |
| CA | |
| 95616-8677, United States^2 | |
| Department of Physics, University of Wisconsin, Madison | |
| WI | |
| 53706-1390, United States^3 | |
| Laboratoire Leprince-Ringuet, École Polytechnique, Palaiseau | |
| 91128, France^4 | |
| 关键词: Decay channels; Decay products; Dynamical likelihood; Likelihood functions; The standard model; Transverse energy; | |
| Others : https://iopscience.iop.org/article/10.1088/1742-6596/513/2/022035/pdf DOI : 10.1088/1742-6596/513/2/022035 |
|
| 学科分类:计算机科学(综合) | |
| 来源: IOP | |
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【 摘 要 】
An algorithm for reconstruction of the Higgs mass in H → ττ decays is presented. The algorithm computes for each event a likelihood function P(Mττ) which quantifies the level of compatibility of a Higgs mass hypothesis Mττwith measured momenta of the visible tau decay products plus the missing transverse energy reconstructed in the event. The algorithm is used in the CMS H → ττ analysis, where it is found to improve the sensitivity to discover the Standard Model Higgs boson in this decay channel by about 30%.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Reconstruction of the Higgs mass in H → ττ Events by Dynamical Likelihood techniques | 672KB |
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