Radics B
ETH Zürich, Institute for Particle Physics and Astrophysics, Zürich 8093, Switzerland.
Proc Math Phys Eng Sci. 2019 Mar;475(2223):20180663. doi: 10.1098/rspa.2018.0663. Epub 2019 Mar 13.
For a class of precision CPT-invariance test measurements using antihydrogen, a deficit in the data indicates the presence of the signal. The construction of classical confidence intervals for the properties of the antiatoms from measurements may pose a challenge due to the limited statistics experimentally available. We use the Feldman-Cousins (Feldman and Cousins, , , 3873. (doi:10.1103/PhysRevD.57.3873)) method to estimate model parameters for such a low count rate measurement. First, we construct confidence intervals for the Poisson process with a known background and an unknown signal deficit. Then the generalized Monte Carlo version of the method is applied to the use case of the hyperfine transition frequency measurement of the ground-state antihydrogen atom, where the expected double-dip resonance line shape and the mean background is assumed to be known. We find that confidence intervals of the antihydrogen properties could be obtained already from low statistics data. We also discuss how the method may be extended to allow estimation of additional model parameters.
对于一类使用反氢进行的精密CPT不变性测试测量,数据中的不足表明信号的存在。由于实验中可用的统计数据有限,根据测量结果构建反原子特性的经典置信区间可能具有挑战性。我们使用费尔德曼 - 考辛斯(Feldman和Cousins,,,3873.(doi:10.1103/PhysRevD.57.3873))方法来估计这种低计数率测量的模型参数。首先,我们为具有已知背景和未知信号不足的泊松过程构建置信区间。然后,该方法的广义蒙特卡罗版本被应用于基态反氢原子超精细跃迁频率测量的用例,其中假设预期的双 dip 共振线形和平均背景是已知的。我们发现,已经可以从低统计数据中获得反氢特性的置信区间。我们还讨论了该方法如何扩展以允许估计其他模型参数。