OPTIMASS: a package for the minimization of kinematic mass functions with constraints

Won Sang Cho, James S. Gainer, Doojin Kim, Sung Hak Lim, Konstantin T. Matchev, Filip Moortgat, Luc Pape, Myeonghun Park

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Reconstructed mass variables, such as M2, M2C, MT *, and MT2 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, thus allowing the user to significantly extend the existing set of kinematic variables. We describe this code, explain its physics motivation, and demonstrate its use in the analysis of the fully leptonic decay of pair-produced top quarks using M2variables.

Original languageEnglish
Article number26
Pages (from-to)1-40
Number of pages40
JournalJournal of High Energy Physics
Volume2016
Issue number1
DOIs
StatePublished - 1 Jan 2016

Keywords

  • Beyond Standard Model
  • Hadron-Hadron scattering
  • Particle and resonance production
  • Supersymmetry
  • top squark

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