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gLike

gLike is a general-purpose ROOT-based code framework for the numerical maximization of joint likelihood functions. The joint likelihood function has one free parameter (named g) and as many nuisance parameters as wanted, which will be profiled in the maximization process.

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Description

gLike is a general-purpose ROOT-based code framework for the numerical maximization of joint likelihood functions. The joint likelihood function has one free parameter (named g) and as many nuisance parameters as wanted, which will be profiled in the maximization process.

Keywords
Programming languages
  • C++ 73%
  • Jupyter Notebook 24%
  • C 2%
  • CMake 1%
License
</>Source code

Contributors

CN
Cosimo Nigro
Institut de Física d'Altes Energies (IFAE)
0000-0001-8375-1907
DK
Daniel Kerszberg
Institut de Física d'Altes Energies (IFAE)
0000-0002-5289-1509
TM
Tjark Miener
Universidad Complutense de Madrid (UCM)
0000-0003-1821-7964
JR
Javier Rico
Institut de Física d'Altes Energies (IFAE)
0000-0003-4137-1134

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