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ROOT Users Workshop 2025

17–21 Nov 2025
Europe/Madrid timezone

Session

Afternoon session I

17 Nov 2025, 14:30

Presentation materials

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  1. 123. Software at CERN between 1980's and 2000
    Rene Brun
    17/11/2025, 14:30
  2. 124. 30 years of ROOT
    Fons Rademakers (CERN)
    17/11/2025, 14:45
  3. 8. ROOT Training Session
    Marta Czurylo (CERN), Silia Taider (CERN), Dr Vincenzo Eduardo Padulano (CERN)
    17/11/2025, 15:00
  4. 115. ROOT I/O: Overview
    Jakob Blomer (CERN)
    18/11/2025, 14:30
  5. 116. A first look at RFile
    Giacomo Parolini (CERN)
    18/11/2025, 14:50
  6. 25. Discussion
    18/11/2025, 15:10
  7. 74. Performance Comparison of Lossless Compression Algorithms on CMS Data using ROOT TTree and RNTuple
    Simone Rossi Tisbeni (Universita Di Bologna (IT))
    18/11/2025, 15:30

    The High-Level Trigger (HLT) of the Compact Muon Solenoid (CMS) processes event data in real time, applying selection criteria to reduce the data rate from hundreds of kHz to around 5 kHz for raw data offline storage. Efficient lossless compression algorithms, such as LZMA and ZSTD, are essential in minimizing these storage requirements while maintaining easy access for subsequent analysis....

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  8. 84. User Story: Integration of ROOT RNTuple to CMSSW's SoA data structures
    Markus Holzer (CERN)
    18/11/2025, 15:50

    The Struct of Arrays (SoA) layout separates structure fields into individual arrays, each holding a single attribute across all elements. Compared to the traditional Array of Structures (AoS), SoA improves data locality, vectorisation, cache usage, and memory bandwidth—critical for heterogeneous computing. In CMSSW, SoA is implemented using the Boost::PP library to provide a clean,...

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  9. 28. Discussion
    18/11/2025, 16:10
  10. 111. Statistical Inference in HEP - An Overview
    Jonas Eschle
    19/11/2025, 14:30
  11. 110. RooFit overview
    Jonas Rembser (CERN)
    19/11/2025, 14:50
  12. 37. Discussion
    19/11/2025, 15:10
  13. 95. Efficient Parameter Inference with MoreFit
    Christoph Michael Langenbruch (Heidelberg University (DE))
    19/11/2025, 15:30

    Parameter inference via unbinned maximum likelihood fits is a central technique in particle physics. The large data samples available at the HL-LHC and advanced statistical methods require highly efficient fitting solutions. I will present one such solution, MoreFit, and discuss in detail the optimization techniques employed to make it as efficient as possible. MoreFit is based on compute...

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  14. 96. High performance analysis in CMS
    Josh Bendavid (CERN)
    19/11/2025, 15:50

    The unprecedented volume of data and Monte Carlo simulations at the HL-LHC poses increasing challenges for particle physics analyses, demanding computation-efficient analysis workflows and reduced time to insight. We present a review of data and statistical analysis models and tools in CMS, with a particular emphasis on the challenges and solutions associated with the recent W mass...

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  15. 40. Discussion
    19/11/2025, 16:10
  16. 47. Speeding up large-scale likelihood fits with Automatic Differentiation in RooFit
    Jonas Rembser (CERN)
    20/11/2025, 14:30
  17. 93. Highlights of xRooFit - The High-Level API for RooFit
    Will Buttinger (Science and Technology Facilities Council STFC (GB))
    20/11/2025, 14:50

    xRooFit, created in 2020 and integrated into ROOT as an experimental feature in 2022, is an API and toolkit designed to augment RooFit's existing functionalities. Designed to work with any RooFit workspace, xRooFit adds features to assist with workspace creation, exploration, visualization, and modification. It also includes a suite of functionality for statistical analysis, including NLL...

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  18. 49. Discussion
    20/11/2025, 15:10
  19. 112. Statistical inference in CMS with Combine
    Aliya Nigamova (Paul Scherrer Institute (CH))
    20/11/2025, 15:30
  20. 113. Statistical Inference in ATLAS
    Tomas Dado (CERN)
    20/11/2025, 15:50
  21. 52. Discussion
    20/11/2025, 16:10
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