OPTIMASS: A Package for the Minimization of Kinematic Mass Functions with Constraints. Reconstructed mass variables, such as M2, M2C, M⋆T, and MWT2, play an essential role in searches for new physics at hadron colliders. The calculation of these variables generally involves constrained minimization in a large parameter space, which is numerically challenging. We provide a C++ code, OPTIMASS, which interfaces with the MINUIT library to perform this constrained minimization using the Augmented Lagrangian Method. The code can be applied to arbitrarily general event topologies and thus allows the user to significantly extend the existing set of kinematic variables. We describe this code and its physics motivation, and demonstrate its use in the analysis of the fully leptonic decay of pair-produced top quarks using the M2 variables.
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References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- Chan Beom Park: YAM2: Yet another library for the M2 variables using sequential quadratic programming (2020) arXiv
- Debnath, Dipsikha; Gainer, James S.; Kilic, Can; Kim, Doojin; Matchev, Konstantin T.; Yang, Yuan-Pao: Detecting kinematic boundary surfaces in phase space: particle mass measurements in SUSY-like events (2017)
- Cho, Won Sang; Gainer, James S.; Kim, Doojin; Lim, Sung Hak; Matchev, Konstantin T.; Moortgat, Filip; Pape, Luc; Park, Myeonghun: OPTIMASS: a package for the minimization of kinematic mass functions with constraints (2016)