YAM2: Yet another library for the M2 variables using sequential quadratic programming

被引:7
|
作者
Park, Chan Beom [1 ]
机构
[1] Inst Basic Sci IBS, Ctr Theoret Phys Universe, 55 Expo Ro, Daejeon 34126, South Korea
关键词
Collider physics; Kinematic variable; Constrained optimization; Sequential quadratic programming; MEASURING MASSES; ALGORITHMS; OPTIMIZATION; CONSTRAINTS;
D O I
10.1016/j.cpc.2021.107967
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The M-2 variables are devised to extend M-T2 by promoting transverse masses to Lorentz-invariant ones and making explicit use of on-shell mass relations. Unlike simple kinematic variables such as the invariant mass of visible particles, where the variable definitions directly provide how to calculate them, the calculation of the M-2 variables is undertaken by employing numerical algorithms. Essentially, the calculation of M-2 corresponds to solving a constrained minimization problem in mathematical optimization, and various numerical methods exist for the task. We find that the sequential quadratic programming method performs very well for the calculation of M-2, and its numerical performance is even better than the method implemented in the existing software package for M-2. As a consequence of our study, we have developed and released yet another software library, YAM2, for calculating the M-2 variables using several numerical algorithms.
引用
收藏
页数:11
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