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OPTIMASS: A Package for the Minimization of Kinematic Mass Functions with Constraints

Reconstructed mass variables, such as $M_2$, $M_{2C}$, $M_T^\star$, and $M_{T2}^W$, 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...

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Detalles Bibliográficos
Autores principales: Cho, Won Sang, Gainer, James S., Kim, Doojin, Lim, Sung Hak, Matchev, Konstantin T., Moortgat, Filip, Pape, Luc, Park, Myeonghun
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/JHEP01(2016)026
http://cds.cern.ch/record/2040380
Descripción
Sumario:Reconstructed mass variables, such as $M_2$, $M_{2C}$, $M_T^\star$, and $M_{T2}^W$, 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 motivation and demonstrate its use in the analysis of the fully leptonic decay of pair-produced top quarks using the $M_2$ variables.