# Preserving LHC Analyses with Rivet > [! note]- > The content of this page is generated by audio/video transcription and text transformation from the content and links of this source. Source: [https://fosdem.org/2025/schedule/event/fosdem-2025-4810-preserving-lhc-analyses-with-rivet-a-foundation-for-reproducible-and-reusable-particle-physics-research/](https://fosdem.org/2025/schedule/event/fosdem-2025-4810-preserving-lhc-analyses-with-rivet-a-foundation-for-reproducible-and-reusable-particle-physics-research/) <video src="https://video.fosdem.org/2025/aw1126/fosdem-2025-4810-preserving-lhc-analyses-with-rivet-a-foundation-for-reproducible-and-reusable-particle-physics-research.av1.webm" controls></video> ## Summary & Highlights: The session focuses on Rivet, a tool that provides a framework for preserving and reinterpreting analyses from the Large Hadron Collider (LHC). This ensures that particle physics research remains reproducible and reusable over time. **Introduction to Rivet** Rivet addresses the challenge of maintaining reproducibility in high-energy physics by providing a framework for preserving LHC analyses. It enables researchers to reproduce, validate, and reuse complex particle collision studies long after initial publication. **The Role of Rivet in Particle Physics** Rivet supports reinterpretation for new physics searches and integrates with other high-energy physics frameworks. It is an indispensable tool for long-term data analysis preservation, contributing to sustainable research practices. **Technical Aspects of Rivet** Rivet is designed with ease of use, flexibility, and scalability in mind. It uses C++ with Python bindings and supports various Monte Carlo generators. Its built-in caching system optimizes performance for large datasets. **Community and Collaboration** Rivet has become the de facto standard for comparing Monte Carlo event generators with LHC data. It facilitates collaboration between theorists and experimentalists, ensuring consistent validation of theoretical models. **Future Prospects and Challenges** Rivet aims to expand automation and usability while adapting to next-generation LHC data challenges. Strengthening analysis preservation efforts remains a key priority. ## Importance for an eco-social transformation Rivet plays a crucial role in eco-social transformation by promoting sustainable research practices through data preservation and reproducibility. It addresses ethical issues by ensuring transparency and accessibility in scientific research. For eco-social designers, Rivet offers a model for developing tools that prioritize open access and collaboration. Challenges include ensuring widespread adoption and integration with existing frameworks, as well as addressing computational resource demands. ## Slides: | | | | --- | --- | | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_001.jpg\|300]] | The slide introduces the session on preserving LHC analyses with Rivet, highlighting its role in ensuring reproducible and reusable particle physics research. It is presented by Christian Gütschow at FOSDEM 2025 in Brussels, emphasizing the importance of advanced research computing. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_002.jpg\|300]] | This slide provides an overview of the Large Hadron Collider (LHC) and its data generation capabilities. It explains the reliance on Monte Carlo simulations for interpreting high-dimensional datasets from collision events, which vary in frequency and complexity. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_003.jpg\|300]] | The slide presents a comprehensive chart of various particle physics processes observed by the ATLAS experiment, illustrating the range of cross-section measurements over different orders of magnitude. It highlights the importance of accurate simulations for understanding these processes. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_004.jpg\|300]] | The slide discusses the independent development of theory tools like event generators and parton distribution functions (PDFs) by the theoretical physics community, separate from experimental collaborations, emphasizing the need for integration. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_005.jpg\|300]] | This slide continues to discuss the independent development of theory tools, highlighting the continuous improvements in these tools with advancements in theoretical models and the importance of retrospective reinterpretation of data. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_006.jpg\|300]] | The slide further elaborates on the development of theory tools, addressing the resource-intensive nature of large-scale Monte Carlo simulations and the necessity for rigorous cross-validation with experimental data to ensure accuracy. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_007.jpg\|300]] | The slide outlines the Monte Carlo event generation and analysis workflow, showing the various stages from initial theory models to final analysis and interpretation, with specific tools and formats used at each step. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_008.jpg\|300]] | This slide identifies the current challenges in high-energy physics (HEP) analysis, particularly the complexity of workflows involving event generation, detector simulation, and statistical analysis pipelines. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_009.jpg\|300]] | The slide expands on the challenges in HEP analysis, noting the complexity of event structures and the difficulties in achieving consistent and efficient data analysis across different generators. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_010.jpg\|300]] | This slide highlights the issue of limited software portability in HEP analysis, where tools are often tightly integrated with experiment-specific frameworks, hindering sharing and collaboration. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_011.jpg\|300]] | The slide addresses the risk of knowledge loss in HEP analysis, emphasizing the need for proper preservation to maintain critical analysis insights over time. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_012.jpg\|300]] | Introducing Rivet, the slide describes it as a tool for robust and independent validation of experiment and theory, widely adopted for Monte Carlo analysis in particle physics, and highlights its features and capabilities. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_013.jpg\|300]] | The slide discusses the design of Rivet, focusing on ease of use for physicists, minimal boilerplate code, intuitive tools, and streamlined integration with external data sources like HepData. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_014.jpg\|300]] | This slide continues to describe Rivet's design, emphasizing its flexibility and embeddability, compatibility with various event generators, and modular analysis routines that promote code reuse. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_015.jpg\|300]] | The slide highlights Rivet's efficiency and scalability, noting its built-in caching system to optimize performance during event processing and its suitability for large datasets. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_016.jpg\|300]] | The slide provides an overview of the Rivet workflow, detailing how Monte Carlo event generators produce simulated events that Rivet processes with analysis routines to generate histograms for further analysis. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_017.jpg\|300]] | Describing a Rivet routine, the slide explains it as a modular analysis plugin for processing simulated events, encoding physics logic, and working with any Monte Carlo event generator. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_018.jpg\|300]] | The slide discusses LHC analysis preservation in practice, highlighting Rivet's role in providing a validated repository, ensuring transparency in scientific workflows, and enabling theory reinterpretation studies. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_019.jpg\|300]] | This slide focuses on community and collaboration, describing Rivet as a standard for comparing Monte Carlo event generators with LHC data, fostering a shared language between theorists and experimentalists. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_020.jpg\|300]] | The slide continues on community collaboration, emphasizing the importance of fostering common standards and the adoption of Rivet by multiple communities to align best practices. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_021.jpg\|300]] | The slide highlights Rivet's open and evolving nature, maintained by the HEP software community, with regular workshops and integration into analysis preservation efforts for long-term impact. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_022.jpg\|300]] | The slide discusses reinterpreting LHC data for new physics, explaining how Rivet allows testing new physics hypotheses by injecting new signals on top of Standard Model predictions. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_023.jpg\|300]] | This slide elaborates on Rivet's ability to provide fast and broad coverage for testing new physics hypotheses, with new analyses being usable in likelihood fits within hours. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_024.jpg\|300]] | The slide discusses extending the new physics search frontier, highlighting how Rivet's reusable data ensures long-term discovery potential as calculations and measurements become more precise. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_025.jpg\|300]] | The slide outlines challenges and lessons learned in developing Rivet, focusing on balancing generality and usability with its modular design and plugin-based analysis routines. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_026.jpg\|300]] | This slide discusses interfacing with experiment and theory, noting Rivet's use of HepMC as a standard interface and its efforts to maintain version compatibility. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_027.jpg\|300]] | The slide highlights the importance of analysis preservation and long-term reusability, with Rivet ensuring compatibility through rigorous archival and automated tests. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_028.jpg\|300]] | This slide emphasizes the importance of standardization in reducing discrepancies in Monte Carlo predictions and ensuring consistent validation. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_029.jpg\|300]] | The slide discusses the role of community-driven design in Rivet's development, shaped by user feedback to enhance features like multi-pass execution for heavy-ion analyses. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_030.jpg\|300]] | The slide emphasizes the need for sustainability in Rivet's development, maintained through workshops, onboarding, and continuous development efforts. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_031.jpg\|300]] | The slide summarizes Rivet's role in LHC analysis, highlighting its standard tool status for validation and analysis preservation, and its support for evolving physics needs. | ![[FOSDEM 2025/assets/Preserving-LHC-Analyses-with-Rivet-A-Foundation-fo/preview_032.jpg\|300]] | This slide serves as a backup, summarizing the key points and providing additional resources related to Rivet's development and application. ## Links [Rivet gitlab repo](https://gitlab.com/hepcedar/rivet) [Rivet website](http://rivet.hepforge.org/) [Video recording (AV1/WebM) - 95.1 MB](https://video.fosdem.org/2025/aw1126/fosdem-2025-4810-preserving-lhc-analyses-with-rivet-a-foundation-for-reproducible-and-reusable-particle-physics-research.av1.webm) [Video recording (MP4) - 508.7 MB](https://video.fosdem.org/2025/aw1126/fosdem-2025-4810-preserving-lhc-analyses-with-rivet-a-foundation-for-reproducible-and-reusable-particle-physics-research.av1.mp4) [Video recording subtitle file (VTT)](https://video.fosdem.org/2025/aw1126/fosdem-2025-4810-preserving-lhc-analyses-with-rivet-a-foundation-for-reproducible-and-reusable-particle-physics-research.vtt) [Chat room(web)](https://fosdem.org/2025/events/chatrooms/fosdem-2025-4810-preserving-lhc-analyses-with-rivet-a-foundation-for-reproducible-and-reusable-particle-physics-research/) [Chat room(app)](https://fosdem.org/2025/events/chatrooms/fosdem-2025-4810-preserving-lhc-analyses-with-rivet-a-foundation-for-reproducible-and-reusable-particle-physics-research/app/)