ROOT

ROOT - An object oriented data analysis framework. The ROOT system in an Object Oriented framework for large scale data analysis. ROOT written in C++, contains, among others, an efficient hierarchical OO database, a C++ interpreter, advanced statistical analysis (multi-dimensional histogramming, fitting, minimization, cluster finding algorithms) and visualization tools. The user interacts with ROOT via a graphical user interface, the command line or batch scripts. The command and scripting language is C++ (using the interpreter) and large scripts can be compiled and dynamically linked in. The OO database design has been optimized for parallel access (reading as well as writing) by multiple processes.


References in zbMATH (referenced in 42 articles , 1 standard article )

Showing results 1 to 20 of 42.
Sorted by year (citations)

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  1. Tai Sakuma: AlphaTwirl: A Python library for summarizing event data into multivariate categorical data (2019) arXiv
  2. Vasyliv, Yaroslav; Alexeev, Alexander: Development of general finite differences for complex geometries using a sharp interface formulation (2019)
  3. Adrian Bevan, Thomas Charman, Jonathan Hays: HIPSTER - A python package for particle physics analyses (2018) arXiv
  4. James Bourbeau, Zigfried Hampel-Arias: PyUnfold: A Python Package for Iterative Unfolding (2018) arXiv
  5. Moritz Gelb; Thomas Keck; Markus Prim; Hulya Atmacan; Jochen Gemmler; Ryosuke Itoh; Bastian Kronenbitter; Thomas Kuhr; Matic Lubej; Felix Metzner; Chanseok Park; Seokhee Park; Christian Pulvermacher; Martin Ritter; Anze Zupanc: B2BII: Data Conversion from Belle to Belle II (2018) not zbMATH
  6. Ralph Engel; Dieter Heck; Tim Huege; Tanguy Pierog; Maximilian Reininghaus; Felix Riehn; Ralf Ulrich; Michael Unger; Darko Veberič: Towards A Next Generation of CORSIKA: A Framework for the Simulation of Particle Cascades in Astroparticle Physics (2018) not zbMATH
  7. Sébastien Brochet; Christophe Delaere; Brieuc François; Vincent Lemaître; Alexandre Mertens; Alessia Saggio; Miguel Vidal Marono; Sébastien Wertz: MoMEMta, a modular toolkit for the Matrix Element Method at the LHC (2018) arXiv
  8. Ko, P.; Natale, Alexander; Park, Myeonghun; Yokoya, Hiroshi: Simplified DM models with the full SM gauge symmetry: the case of (t)-channel colored scalar mediators (2017)
  9. Borzou, Ahmad: A macroscopically effective Lorentz gauge theory of gravity (2016)
  10. G.A. Cowan, D.C. Craik, M.D. Needham: RapidSim: an application for the fast simulation of heavy-quark hadron decays (2016) arXiv
  11. Thomas Keck: FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification (2016) arXiv
  12. Johannes Rauch, Tobias Schlüter: GENFIT - a Generic Track-Fitting Toolkit (2014) arXiv
  13. August, Daniel; Maas, Axel: On the Landau-gauge adjoint quark propagator (2013)
  14. Hashi, Manami; Kitazawa, Noriaki: Signatures of low-scale string models at the LHC (2012)
  15. R. Aloisio, D. Boncioli, A. F. Grillo, S. Petrera, F. Salamida: SimProp: a Simulation Code for Ultra High Energy Cosmic Ray Propagation (2012) arXiv
  16. Širca, Simon; Horvat, Martin: Computational methods for physicists. Compendium for students. Translated from the Slovenian. (2012)
  17. Allanach, Benjamin C.; Grab, Sebastian; Haber, Howard E.: Supersymmetric monojets at the Large Hadron Collider (2011)
  18. Çobanoǧlu, Özgür; Özcan, Erkcan; Sultansoy, Saleh; Ünel, Gökhan: OPUCEM: a library with error checking mechanism for computing oblique parameters (2011)
  19. Maas, Axel: On the gauge boson’s properties in a candidate technicolor theory (2011)
  20. Maas, Axel: On the gauge-algebra dependence of Landau-gauge Yang-Mills propagators (2011)

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Further publications can be found at: https://root.cern.ch/publications