论文标题
高能粒子跟踪中的异质性和角度分辨率：重新访问“超出$ \ sqrt {\ mathrm {n}} $最小二乘分辨率和幸运模型的极限”，G。Landi和G. E. Landi
Heteroscedasticity and angle resolution in high-energy particle tracking: revisiting "Beyond the $\sqrt{\mathrm{N}}$ limit of the least squares resolution and the lucky model", by G. Landi and G. E. Landi
论文作者
论文摘要
我重新检查了G. Landi和G. E. Landi的最新作品。 [arxiv：1808.06708 [physics.ins-det]]，其中作者声称，跟踪器的解决方案与检测层的数量（$ n $）的数量线性变化，即比通常已知的$ \ sqrt {n} $变化的速度要快，对于固定的长度而言，在允许的层面上，i.crips for the lose I.使用异性效果和适当的分析方法，即加权最小二乘的拟合。
I re-examine a recent work by G. Landi and G. E. Landi. [arXiv:1808.06708 [physics.ins-det]], in which the authors claim that the resolution of a tracker ca vary linearly with the number of detection layers, $N$, that is, faster than the commonly known $\sqrt{N}$ variation, for a tracker of fixed length, in case the precision of the position measurement is allowed to vary from layer to layer, i.e. heteroscedasticity, and an appropriate analysis method, a weighted least squares fit, is used.
