Data Unfolding Methods in High Energy Physics
Data Unfolding Methods in High Energy Physics
复制标题
DOI：
10.1051/epjconf/201713711008
复制
发表时间：
2016-11
期刊：
影响因子：
--
通讯作者：
S. Schmitt
中科院分区：
文献类型：
--
作者：
S. Schmitt
一个选择的展开方法在高能物理中常用的比较。这里讨论的方法是：一箱一箱的校正因子，矩阵求逆，模板拟合，吉洪诺夫正则化和迭代方法的两个例子。两个程序来选择正则化的强度进行测试，即L-曲线扫描和扫描的全球相关系数。展开的方法和正则化强度的选择的优点和缺点进行了讨论，使用一个玩具的例子。
A selection of unfolding methods commonly used in High Energy Physics is compared. The methods discussed here are: bin-by-bin correction factors, matrix inversion, template fit, Tikhonov regularisation and two examples of iterative methods. Two procedures to choose the strength of the regularisation are tested, namely the L-curve scan and a scan of global correlation coefficients. The advantages and disadvantages of the unfolding methods and choices of the regularisation strength are discussed using a toy example.