ROOT - A C++ framework for petabyte data storage, statistical analysis and visualization

By I. Antcheva, M. Ballintijn, B. Bellenot, Marek Tomasz Biskup, R. Brun, Nenad Buncic, P. Canal, D. Casadei, O. Couet, V. Fine and 10 more. Computer Physics Communications, 2009

730 citations recorded by the source corpus.

ROOT is an object-oriented C++ framework conceived in the high-energy physics (HEP) community, designed for storing and analyzing petabytes of data in an efcient way. Any instance of a C++ class can be stored into a ROOT le in a machine-independent compressed binary format. In ROOT the TTree object container is optimized for statistical data analysis over very large data sets by using vertical data storage techniques. These containers can span a large number of les

Subfields: Artificial Intelligence, Computer Networks and Communications, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/f075e9f27691e3f669d7a6a1382d9189889025b9

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In Artificial Intelligence

1. Cms Collaboration
2. Atlas Collaboration
3. Gudrun Heinrich
4. John Ellis
5. T. You
6. Veronica Sanz
7. G. Panico
8. Stefan Prestel

In Computer Networks and Communications

1. B. Henning
2. John Ellis
3. L. Harland–Lang
4. Veronica Sanz
5. R. Frederix
6. N. Craig
7. M. Grazzini
8. Juan Rojo

In Nuclear and High Energy Physics

1. Cms Collaboration
2. Atlas Collaboration
3. Gudrun Heinrich
4. Fabio Maltoni
5. Valentin Hirschi
6. R. Frederix
7. M. Zaro
8. Ansgar Denner

Citations in the corpus

• Detecting and studying high-energy collider neutrinos with FASER at the LHC (2019, methodology): “To improve the neutrino energy reconstruction resolution, an artificial neural network (ANN) algorithm was built with inputs from the topological and kinematic observable shown in Table III, using the MLP package in the CERN ROOT framework [101].”
• Higgs Physics at the HL-LHC and HE-LHC (2019, methodology): “The training and testing of the samples is carried out using ROOT’s [907] own TMVA (Toolkit for Multivariate Analysis) framework [908].”
• Search for vector mediator of dark matter production in invisible decay mode (2017, methodology): “The corresponding code is based on the RooStats package [68].”