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ROOT Users Workshop 2025

17–21 Nov 2025
Europe/Madrid timezone

Contribution List

104 out of 104 displayed
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  1. 122. Workshop registration
    17/11/2025, 08:00
  2. 1. Welcome from the Local Organisers
    17/11/2025, 09:00
  3. 3. An overview of the ROOT project
    Danilo Piparo (CERN)
    17/11/2025, 09:10
  4. 104. Physics at the HL-LHC scale
    Arantza Oyanguren (IFIC - Valencia)
    17/11/2025, 09:30
  5. 87. FCCAnalyses: a ROOT-based Framework for End-to-End Physics Analysis at the FCC
    Juraj Smiesko (CERN)
    17/11/2025, 10:00

    We present an overview of the FCC analysis framework, designed to streamline user workflows from event processing to final results. Built on top of ROOT’s RDataFrame and the EDM4hep data model, FCCAnalyses provides a coherent environment for dataset processing, visualization, plotting, and statistical fitting. We will highlight the full analysis chain from the user perspective, including...

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  6. 4. ALICE
    Sandro Christian Wenzel (CERN)
    17/11/2025, 11:00
  7. 5. ATLAS
    Gordon Watts (University of Washington (US)), Vincenzo Innocente (Fermi National Accelerator Lab. (US))
    17/11/2025, 11:30
  8. 6. CMS
    Philippe Canal (Fermi National Accelerator Lab. (US))
    17/11/2025, 12:00
  9. 90. ROOT in the LHCb Software Framework - past, present and future
    Marco Clemencic (CERN)
    17/11/2025, 12:30

    The LHCb Collaboration has been using ROOT in its software framework from the beginning, in more or less efficient way. Here summarize the evolution of our use of ROOT to then glimpse into the possible paths in view of LHC Run4 and LHCb Upgrade 2.

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  10. 123. Software at CERN between 1980's and 2000
    Rene Brun
    17/11/2025, 14:30
  11. 124. 30 years of ROOT
    Fons Rademakers (CERN)
    17/11/2025, 14:45
  12. 8. ROOT Training Session
    Marta Czurylo (CERN), Silia Taider (CERN), Dr Vincenzo Eduardo Padulano (CERN)
    17/11/2025, 15:00
  13. 80. Implementation of an $H\rightarrow \tau\tau$ Analysis within a ROOT-based C++ Framework using ATLAS Open Data
    Morvan Vincent (Univ. of Valencia and CSIC (ES))
    17/11/2025, 17:00

    Integration of an analysis of Higgs boson decaying to a pair of tau leptons into a ROOT-based C++ framework, making use of recent ATLAS Open Data release. The workflow demonstrates how modern analysis strategies can be easily implemented within a modular structure that combines event selection and object reconstruction. Particular emphasis is placed on the use of ROOT for handling large...

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  14. 114. ROOT Training Session
    Marta Czurylo (CERN), Silia Taider (CERN), Dr Vincenzo Eduardo Padulano (CERN)
    17/11/2025, 17:20
  15. 146. Welcome Reception
    17/11/2025, 18:30
  16. 152. Announcements
    Danilo Piparo (CERN)
    18/11/2025, 08:55
  17. 14. WLCG - technical evolution
    Alessandro Di Girolamo (CERN)
    18/11/2025, 09:00
  18. 15. Behind the "root://": Current state and future challenges of Physics data storage at scale
    Cedric Caffy (CERN)
    18/11/2025, 09:30
  19. 142. Belle II
    Thomas Lück
    18/11/2025, 10:00
  20. 17. Overview of the current RDataFrame efforts
    Marta Czurylo (CERN), Stephan Hageboeck (CERN), Dr Vincenzo Eduardo Padulano (CERN)
    18/11/2025, 11:00
  21. 92. Benchmarking ROOT-Based Analysis Workflows for HL-LHC: The CMS INFN AF Use Case
    Luca Pacioselli (INFN, Perugia (IT))
    18/11/2025, 11:20

    For a few years, INFN has been developing R&D projects in the context of CMS high-rate analyses in view of the challenges of the HL-LHC phase, starting in 2030. Since then, several studies have been implemented and as a result a prototype for an analysis facility has been proposed, in compliance with CMS analysis frameworks (e.g. based on Coffea, ROOT RDataFrame), and also adopting open-source...

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  22. 19. Discussion
    18/11/2025, 11:40
  23. 75. Vibe Plotting: ServiceX, RDataFrame, and a LLM
    Gordon Watts (University of Washington (US))
    18/11/2025, 12:00

    Can we teach an LLM to plot experimental HEP data? Modern particle physics workflows increasingly depend on a complex software ecosystem that connects large datasets, distributed data delivery, and user-level analysis tools. We demonstrate how a Large Language Model (LLM) can act as a coding assistant that bridges these components. Starting from a high-level user request—such as “plot jet...

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  24. 82. NDMSPC: Addressing THnSparse Challenges in High-Dimensional Analysis
    Martin Vala (Pavol Jozef Safarik University (SK))
    18/11/2025, 12:20

    The NDMSPC project introduces an innovative THnSparse analysis framework for high-dimensional data, directly addressing the challenge of fitting N-dimensional histograms within memory. Our solution organizes the THnSparse structure into sub-chunks, optimizing memory efficiency and enabling scalable processing. Beyond numerical values, the framework allows bin content to be arbitrary objects,...

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  25. 22. Discussion
    18/11/2025, 12:40
  26. 115. ROOT I/O: Overview
    Jakob Blomer (CERN)
    18/11/2025, 14:30
  27. 116. A first look at RFile
    Giacomo Parolini (CERN)
    18/11/2025, 14:50
  28. 25. Discussion
    18/11/2025, 15:10
  29. 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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  30. 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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  31. 28. Discussion
    18/11/2025, 16:10
  32. 105. An overview of ROOT in Python
    18/11/2025, 17:00
  33. 106. The ROOT Python Bindings Features
    Silia Taider (CERN)
    18/11/2025, 17:10
  34. 138. Compiler Research in the Open: Connecting People, Projects, and Progress
    Vassil Vasilev (Princeton University (US))
    18/11/2025, 17:30

    The compiler-research.org initiative aims to make compiler
    research more visible, interconnected, and sustainable across academia
    and industry. Beyond research infrastructure, it pioneers a new model
    for open-source education and mentorship offering remote, project-based
    training in advanced compiler and systems engineering for early-career
    professionals. This approach fills a critical...

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  35. 108. Discussion
    18/11/2025, 17:50
  36. 98. The View from Deep Underground: DUNE’s Perspective on ROOT
    Andrew Paul Olivier (Argonne National Laboratory), Jeremy Wolcott
    19/11/2025, 09:00

    The Deep Underground Neutrino Experiment (DUNE) plans to collect physics
    data for over 10 years, starting in 2029. The full DUNE design consists of four far
    detectors with multiple 10 kT fiducial mass LArTPCs and a heterogeneous near
    detector complex with 1300 km between them. This combination of technologies
    and readout time scales is expected to require large storage volumes with on...

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  37. 77. Desiging and evolving a (Py)ROOT based software framework for SHiP
    Oliver Lantwin (Universitaet Siegen (DE))
    19/11/2025, 09:30

    As a low background experiment at the intensity frontier, the SHiP experiment faces many unique computing challenges compared to collider experiments. At the same time, the experiment is small, with very limited person power, and everything is evolving quickly in preparation for the TDRs, including core parts of the software, which need to be replaced while avoiding disruption to future-proof...

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  38. 153. Innova Physics UPV: Acceleration Brings Hope
    Mateo Gajić Sales (Universitat Politecnica de Valencia)
    19/11/2025, 10:00
  39. 89. Cross compilation of the ROOT libraries
    Philippe Gras (Université Paris-Saclay (FR))
    19/11/2025, 10:16

    Cross compilation allows the build of binaries of a software package for different platforms without the need to use different hardware and operating system for each platform beging supported. The Julia binary registry, uses it to ease the support of a number of platforms (ARM, x86, PowerPC combined with MacOS, Linux, and Windows). Support for the Julia binary registry has motivated this work...

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  40. 148. Enhancing CMS data analysis with Distributed RDF on a high-rate platform
    Tommaso Diotalevi (Universita e INFN, Bologna (IT))
    19/11/2025, 10:16

    A flexible and dynamic analysis environment, capable of efficiently accessing and processing distributed data and resources, is essential for High Energy Physics (HEP) in both current and future LHC operations. This contribution presents the development and evolution of a scalable analysis platform that combines open-source standards with the computing resources provided by the Italian...

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  41. 83. NDimensional Visualization in 3D Virtual Environments
    Daniel Chovanec (Technical University of Košice (SK))
    19/11/2025, 10:16

    Thanks to the recent technological advances, immersive virtual reality becomes a viable option in various areas, including data visualization. In this talk, we present NDMVR, a software solution for n-dimensional histograms visualization in web-based virtual reality. While NDMVR utilizes JSROOT for certain base functionalities, its distinct features are nested histogram support and reactive...

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  42. 76. RNTuple for SND@HL-LHC
    Filippo Mei (Universita e INFN, Bologna (IT))
    19/11/2025, 10:16

    With the latest ROOT version (6.36), the RNTuple API is stable as well as its on-disk format: data written today will be readable with the future versions of ROOT. RNTuple is the successor of the TTree format, bringing many advantages such as faster read / write, type safety, use of modern smart pointers, suitability for parallelized hardware and asynchronous operations. SND@HL-LHC will be an...

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  43. 102. The R3BRoot framework
    Pablo Gonzalez Russel (University of Santiago de Compostela)
    19/11/2025, 10:16

    The R3B (Reactions with Relativistic Radioactive Beams) experiment at GSI/FAIR is devoted to exploring the properties of nuclei located far from the valley of stability, with particular emphasis on their structure and reaction dynamics. To address these scientific objectives, a highly versatile reaction setup has been developed. This setup combines high detection efficiency, large geometrical...

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  44. 125. Batch generation for ML training
    Martin Foll (University of Oslo (NO))
    19/11/2025, 10:17
  45. 133. GPU Accelerated Analyses
    Devajith Valaparambil Sreeramaswamy, Lukas Breitwieser (CERN)
    19/11/2025, 10:17
  46. 126. JSROOT and Web-graphics
    Serguei Linev (GSI Darmstadt)
    19/11/2025, 10:17
  47. 144. On the Path to ROOT 7
    Stephan Hageboeck (CERN)
    19/11/2025, 10:17
  48. 128. RDF – (distributed) interactive analysis on 1000 cores
    Marta Czurylo (CERN), Stephan Hageboeck (CERN), Dr Vincenzo Eduardo Padulano (CERN)
    19/11/2025, 10:17
  49. 132. Recent Cling Developments
    Devajith Valaparambil Sreeramaswamy
    19/11/2025, 10:17
  50. 145. REve
    Alja Mrak Tadel (Univ. of California San Diego (US)), Matevz Tadel (Univ. of California San Diego (US)), Serguei Linev (GSI Darmstadt)
    19/11/2025, 10:17

    REve is a rewrite of EVE for the ROOT-7 era, using modern C++ and relying on ROOT’s built-in http server for communication with GUI clients. Part of REve is also implemented in JavaScript and uses OpenUI5, JSROOT, and RenderCore as its foundation libraries.

    FireworksWeb is a CMS application built around REve. Several advanced legacy Fireworks features have been ported into REve in an...

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  51. 129. RNTuple – Helping to meet the HL-LHC Storage Challenge
    Giacomo Parolini (CERN), Jakob Blomer (CERN)
    19/11/2025, 10:17
  52. 151. ROOT viewer for CERNBox
    Diogo Castro (CERN)
    19/11/2025, 10:17

    CERNBox is CERN’s cloud storage and collaboration service, supporting a wide range of physics, general-purpose data and personal files for the CERN community. Despite this broad usage, ROOT files remain a significant part of the platform’s data ecosystem, accounting for a notable share of stored volume and an even larger proportion of read/write activity. Improving the ROOT user experience in...

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  53. 130. ROOT – Development process, CI and distribution
    Danilo Piparo (CERN)
    19/11/2025, 10:17
  54. 134. Teaching ROOT
    Marta Czurylo (CERN)
    19/11/2025, 10:17
  55. 131. The new Python Interface
    Aaron Jomy (CERN), Silia Taider (CERN), Vipul Nellamakada (Ramaiah University of Applied Sciences (IN))
    19/11/2025, 10:17
  56. 127. UHI for ROOT: Interfacing With Python Statistical Analysis Libraries
    Silia Taider (CERN)
    19/11/2025, 10:17
  57. 143. LHCb Data Analysis Towards Run 5: Challenges and Needs for ROOT
    Jiahui Zhuo (Univ. of Valencia and CSIC (ES))
    19/11/2025, 11:00

    LHCb’s data analysis model is evolving rapidly in preparation for Run 5 and the HL-LHC era. This talk will outline how LHCb analysts perform end-to-end analyses, from data production to final physics results, and how these workflows differ from those of the general-purpose detectors. We will discuss the increasing demands on scalability, interoperability, and usability of analysis tools,...

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  58. 91. Usage of EDM4hep datamodel in RDataFrame
    Juraj Smiesko (CERN)
    19/11/2025, 11:20

    The Future Circular Collider analysis framework, FCCAnalyses, heavily relies on the Key4hep provided datamodel: EDM4hep. The datamodel itself is described by a simple YAML file, and all required I/O classes are generated with the help of Podio, datamodel generator and I/O layer. One of the limitations of the Podio-based datamodel is that its internal structure, while providing convenient...

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  59. 31. Discussion
    19/11/2025, 11:40
  60. 79. CMS FlashSim and ROOT RDataFrame for ML-Based Event Simulation
    Filippo Cattafesta (Scuola Normale Superiore & INFN Pisa (IT))
    19/11/2025, 12:00

    CMS is developing FlashSim, a machine learning–based framework that produces analysis-level (NANOAOD) events directly from generator-level inputs, reducing simulation costs by orders of magnitude. Efficient integration of preprocessing, inference, and output is essential, and ROOT RDataFrame provides the backbone of this workflow.

    Certain operations required for FlashSim are not yet part of...

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  61. 97. Analyzing HL-LHC heavy-ion collision data with ALICE
    Victor Gonzalez (Wayne State University (US))
    19/11/2025, 12:20

    Analyzing HL-LHC heavy-ion collision data with ALICE

    Victor Gonzalez, Wayne State University (US),
    on behalf of the ALICE Collaboration

    The ALICE detector has been taking data at heavy-ion HL-LHC regime since the start of the LHC Run 3 Pb--Pb campaign in October 2023. Recording Pb$-$Pb collisions at 50 kHz and pp collisions up to 1 MHz interaction rates without trigger results in...

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  62. 34. Discussion
    19/11/2025, 12:40
  63. 111. Statistical Inference in HEP - An Overview
    Jonas Eschle
    19/11/2025, 14:30
  64. 110. RooFit overview
    Jonas Rembser (CERN)
    19/11/2025, 14:50
  65. 37. Discussion
    19/11/2025, 15:10
  66. 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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  67. 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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  68. 40. Discussion
    19/11/2025, 16:10
  69. 136. Guided Tour
    19/11/2025, 18:00
  70. 137. Workshop Dinner
    19/11/2025, 20:30
  71. 109. Innovative Services for Federated Infrastructures - Deployment and Execution in the Computing Continuum
    20/11/2025, 09:00
  72. 101. The FairRoot framework
    Florian Uhlig (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))
    20/11/2025, 09:30

    FairRoot is a software framework for detector simulation, reconstruction, and data analysis
    developed at GSI for the experiments at the upcoming FAIR accelerator complex.
    Started as a framework for experiments at the FAIR project, it is meanwhile also used by several experiments outside of GSI.
    The framework is based on ROOT and Virtual Monte Carlo (VMC) and allows fast prototyping as well...

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  73. 78. The Utilization of ROOT in the BESIII Offline Software System
    Mr Jiaheng Zou (IHEP, Beijing)
    20/11/2025, 10:00

    The BESIII experiment has been operating since 2009, to study physics in the $\tau$-charm energy region utilizing the high luminosity BEPCII (Beijing Electron-Positron Collider II) double ring collider. The BESIII Offline Software System (BOSS) is built upon the Gaudi framework, while also leveraging ROOT extensively across its various components.
    The BESIII experiment primarily utilizes ROOT...

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  74. 117. RNTuple advanced topics
    Giacomo Parolini (CERN)
    20/11/2025, 11:00
  75. 118. Future of ROOT I/O
    Florine Willemijn de Geus (CERN/University of Twente (NL))
    20/11/2025, 11:20
  76. 43. Discussion
    20/11/2025, 11:40
  77. 71. TDAnalyser - a modular framework for the analysis of test beam data
    Laurent Forthomme (AGH University of Krakow (PL))
    20/11/2025, 12:00

    We present a new, modular framework for the processing of test beam data, and in particular for the R&D programme of future timing detectors.

    Based on a C++ architecture, it aims to normalise workflows for the analysis of detector performances through the definition of standard and user-defined analyses (e.g. time discrimination algorithms, intrinsic time resolution, or inter-channel...

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  78. 149. The ROOT 7 Release Series
    Stephan Hageboeck (CERN)
    20/11/2025, 12:20
  79. 46. Discussion
    20/11/2025, 12:40
  80. 47. Speeding up large-scale likelihood fits with Automatic Differentiation in RooFit
    Jonas Rembser (CERN)
    20/11/2025, 14:30
  81. 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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  82. 49. Discussion
    20/11/2025, 15:10
  83. 112. Statistical inference in CMS with Combine
    Aliya Nigamova (Paul Scherrer Institute (CH))
    20/11/2025, 15:30
  84. 113. Statistical Inference in ATLAS
    Tomas Dado (CERN)
    20/11/2025, 15:50
  85. 52. Discussion
    20/11/2025, 16:10
  86. 119. Advancing Python-C++ Interoperability in ROOT and beyond
    Aaron Jomy (CERN), Vipul Nellamakada (Ramaiah University of Applied Sciences (IN))
    20/11/2025, 17:00
  87. 88. ROOT.jl, opening ROOT to the Julia programming language
    Philippe Gras (Université Paris-Saclay (FR))
    20/11/2025, 17:20

    In a single programming language, Julia provides ease of programming (as Python), high running performance (as C++), and exceptional code reusability (with no comparison). These three properties make it the ideal programming language for high energy physics (HEP) data analysis, as demonstrated by several studies and confirmed by a growing interest from the HEP community. The ROOT.jl package...

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  88. 140. Zero-overhead ML training with ROOT
    Martin Foll (University of Oslo (NO))
    20/11/2025, 17:40
  89. 13. Discussion
    20/11/2025, 18:00
  90. 85. Market Surveillance at Scale: A Deployed ROOT Framework for Financial Integrity
    Prof. Joost Pennings (Wageningen University), Dr Philippe Debie (Wageningen University)
    21/11/2025, 09:00

    We bring a core technology from high-energy physics to financial market surveillance. The HighLO project uses the ROOT framework to process terabytes of high-speed trading data where conventional tools fail. In this presentation, we'll showcase our deployed platform and demonstrate how it equips regulators with powerful tools to protect market integrity.

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  91. 72. LIGO-VIRGO-KAGRA - Bridging Gravitational Wave and High-Energy Physics Software
    Marco Meyer-Conde (Tokyo City University (JP), University Of Illinois (US))
    21/11/2025, 09:30

    Gravitational Wave (GW) Physics has entered a new era of Multi-Messenger Astronomy (MMA), characterized by increasing GW event detections from GW observatories at the LIGO-Virgo-KAGRA collaborations. This presentation will introduce the KAGRA experiment, outlining the current workflow from data collection to physics interpretation, and demonstrate the transformative role of machine learning...

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  92. 73. The outside view on ROOT
    FERNANDO HUESO GONZALEZ
    21/11/2025, 10:00

    As a physicist devoted to medical physics research, I've never fitted a Higgs search plot nor run worldwide distributed analysis of data taken at CERN. Unexpectedly, I am heavy user of ROOT, however for more mundane applications related to my research with high count rate radiation detectors, as well as for teaching, at a small laboratory within CSIC/University of Valencia.
    Thus, I would like...

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  93. 86. Beyond HEP: ROOT for Solar Resources
    Daniel Perez Astudillo
    21/11/2025, 10:15

    ROOT’s largest user base is in High-Energy Physics and consequently, most of its functionalities cater to this field. This, however, does not mean ROOT has limited or no place in other areas; its many powerful capabilities such as data storage in compressed binary files, data analysis, modelling and simulation, fitting, data display and even machine learning can be exploited in most other...

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  94. 100. JSRoot in Web Applications for High-Energy Physics: From Interactive Visualizations to Particle Transport Simulations
    Leszek Grzanka (AGH University of Krakow (PL))
    21/11/2025, 11:00

    This contribution highlights practical uses of ROOT and JSROOT for data exploration and web-based visualization. We show performance improvements achieved by replacing matplotlib with JSROOT in the CalibView app for the CMS PPS project. A key feature is the partial reading of ROOT files and handling plot data as JSON objects.

    We also present a lightweight approach using static websites...

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  95. 141. CARTopiaX: an Agent-Based Simulation of CAR T-Cell Therapy built with ROOT and BioDynaMo
    Salvador de la Torre Gonzalez
    21/11/2025, 11:15

    CAR T-cell therapy has revolutionized cancer immunotherapy by reprogramming patient T cells to recognize and eliminate malignant cells, achieving remarkable success in hematologic cancers. However, its application to solid tumors remains challenging due to the complexity and heterogeneity of the tumor microenvironment. CARTopiaX is an advanced agent-based model developed on BioDynaMo, an...

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  96. 121. Workshop discussions and closing
    Danilo Piparo (CERN)
    21/11/2025, 11:30
  97. 94. Cloud-Based Machine Learning with ROOT for the High-Luminosity LHC Era
    Gurchet Singh

    Recent advances in the Scientific Python Ecosystem have opened new possibilities for High-Energy Physics (HEP), especially through its integration with ROOT, the backbone framework for data storage, analysis, and visualization. With tools such as NumPy, pandas, and Jupyter now interoperating seamlessly with ROOT, researchers can build flexible and efficient workflows. At the same time, Machine...

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  98. 107. Compiler Research (provisional title)
    Vassil Vasilev (Princeton University (US))
  99. 147. Enhancing CMS data analysis with Distributed RDF on a high-rate platform
    Tommaso Diotalevi (Universita e INFN, Bologna (IT))

    A flexible and dynamic analysis environment, capable of efficiently accessing and processing distributed data and resources, is essential for High Energy Physics (HEP) in both current and future LHC operations. This contribution presents the development and evolution of a scalable analysis platform that combines open-source standards with the computing resources provided by the Italian...

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  100. 99. FORM: Flexible I/O and Storage for the Deep Underground Neutrino Experiment
    Andrew Paul Olivier (Argonne National Laboratory)

    The Deep Underground Neutrino Experiment (DUNE) will deploy four 10 kt
    fiducial mass time projection chambers in order to study accelerator neutrinos,supernova neutrinos, beyond the standard model physics, atmospheric neutrinos,and solar neutrinos. Reconstructing data in varying time domains over the nearly 400,000 channels needed to monitor this volume presents the complex challenge of...

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  101. 120. Hands-on Pythonisations tutorial
  102. 81. Introduction to the JUNO offline data processing software and its event data model
    Dr Teng LI (Shandong University, CN)

    The Jiangmen Underground Neutrino Observatory (JUNO) is a next-generation neutrino experiment in south China currently in the commissioning stage. JUNO’s primary objective is to determine the neutrino mass ordering (NMO) mainly by detecting reactor antineutrinos.

    Unlike typical accelerator experiments, the JUNO experiment typically detects physical events (such as the inverse beta decay of...

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  103. 139. TBC
  104. 135. Workshop Dinner