arXiv subjects

Giovanni Guerrieri

Publications and source records attributed to Giovanni Guerrieri.

7 recordsLinked to original sources

arXiv2026

Data Preservation in High Energy Physics: Global Report 2026

This document summarizes the contributions to the 5th DPHEP workshop March 5-6, 2026, CERN, and reflects the advancements since 2024, as well as future milestones and tendencies. Impressive progress in HEP data preservation is observed. Legacy data revival was showcased through successful reanalysis of archived data using contemporary methods, demonstrating the long-term scientific value of preservation. Sustainability challenges were noted, emphasizing the need for long-term funding and institutional support to maintain data preservation infrastructure, particularly for legacy experiments transitioning to archival modes. Innovative transverse projects display constant progress towards common technologies for a robust and transferrable DP. In particular, there is a clear shift toward automation, with increasing use of AI and machine learning for data curation, metadata extraction, and workflow optimization. Open science momentum is growing, with wider adoption of FAIR principles and open data policies, and experiments committing to public releases.

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arXiv2026

Open LHC Monte Carlo Event Generation

The LHC physics programme involves a vast amount of Monte Carlo event simulation. This paper reviews current efforts towards sharing the generated events as Open Data. Open Event Generation helps reduce duplication of effort and resource consumption, and benefits the whole High Energy Physics community. We give examples of use cases and user experiences, discuss financial and environmental savings, and suggest future directions.

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arXiv2025

Reinterpretation and preservation of data and analyses in HEP

Data from particle physics experiments are unique and are often the result of a very large investment of resources. Given the potential scientific impact of these data, which goes far beyond the immediate priorities of the experimental collaborations that obtain them, it is imperative that the collaborations and the wider particle physics community publish and preserve sufficient information to ensure that this impact can be realised, now and into the future. The information to be published and preserved includes the algorithms, statistical information, simulations and the recorded data. This publication and preservation requires significant resources, and should be a strategic priority with commensurate planning and resource allocation from the earliest stages of future facilities and experiments.

hep-ph↗

arXiv2025

Data discovery, analysis and reproducibility in Virtual Research Environments

During the ESCAPE project, a pilot analysis facility was developed with a bottom-up approach, in collaboration with all the project partners. As a result, the CERN Virtual Research Environment (VRE) initiative proposes a workspace that facilitates data access from the ESCAPE Data Lake, managed by Rucio, a data management framework, and supports interactive analysis via Jupyter notebooks. The facility offers custom software stacks and access to CVMFS, and connects to local data processing resources through REANA, an open-source framework developed by CERN IT for reanalysis and reproducibility. The CERN VRE deploys an instance of REANA, allowing users to utilise its features together with the analysis facility's services. Integrating heterogeneous services with a unified interface significantly eases the user experience. Furthermore, in line with the ESCAPE Open Collaboration, the development of open source tools that can be leveraged by different physics communities with similar analysis strategies, laying the foundation of common lifecycle analysis practices. Therefore, in order to foster accessibility, as well as interactivity, reproducibility and data preservation to more complex infrastructure services, the development of user-friendly middleware should be prioritized. This contribution focuses on the connection of REANA and Zenodo to the CERN Virtual Research Environment's interface through Jupyter extensions. The development of these extensions makes it possible to use the Virtual Research Environment as a single workspace to enhance the lifecycle of research analysis: from data discovery and data access, through interactive analysis and offload to computing resources, to reproducibility and preservation of results.

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arXiv2025

Open Data at ATLAS: Bringing TeV collisions to the World

ATLAS Open Data for Education delivers proton--proton collision data from the ATLAS experiment at CERN to the public along with open-access resources for education and outreach. To date ATLAS has released a substantial amount of data from 8 TeV and 13 TeV collisions in an easily-accessible format and supported by dedicated documentation, software, and tutorials to ensure that everyone can access and exploit the data for different educational objectives. Along with datasets, ATLAS also provides data visualisation tools and interactive web based applications for studying the data, along with Jupyter Notebooks and downloadable code enabling users to further analyse data for known and unknown physics cases. The Open Data educational platform which hosts the data and tools is used by tens of thousands of students worldwide, and we present the project development, lessons learnt, impacts, and future goals.

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arXiv2025

Bottom quark forward-backward asymmetry at the future electron-positron collider FCC-ee

The Standard Model (SM) prediction for the \PZ-boson pole $b$-quark forward-backward (FB) asymmetry is: $(A_{FB}^{0,b})_{th} = 0.1030 \pm 0.0002$. The LEP electron-positron collider measured instead $A_{FB}^{0,b} = 0.0992 \pm 0.0016$, value which presents the largest discrepancy with any of the SM predictions as of today. All the $A_{FB}^b$ measurements performed at LEP suffered however of an important statistical uncertainty and of different sources of systematic uncertainties. This study shows that the proposed high-luminosity electron-positron collider FCC-ee, collecting orders of magnitude more data at the \PZ-pole than LEP, will significantly reduce the statistical uncertainties on the measurement of $A_{FB}^{0,b}$, thus allowing us to shed further light on this tension.

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arXiv2022

First Run 3 data/MC plots for the measurement of the top-quark pair production cross-section in pp collisions at centre-of-mass energy of 13.6 TeV with the ATLAS experiment at the LHC

The top quark is the heaviest known elementary particle. Its large mass, close to the scale of electroweak symmetry breaking, hints at a unique role in the Standard Model of particle physics. The study of top quark-antiquark ($t\bar{t}$) production is an important part of the physics programme of the ATLAS experiment at the CERN Large Hadron Collider (LHC). It allows quantum chromodynamics to be probed at some of the highest reachable energy scales. The $t\bar{t}$ production also forms a crucial background in many searches for physics beyond the Standard Model. Therefore, precise measurements the $t\bar{t}$ process are essential to fully exploit the discovery potential of the LHC. A comparison of data and prediction in the electron-muon final state is presented, aiming to reconstruct $t\bar{t}$ events. Data are collected in the period F1 of the LHC Run 3 at the centre-of-mass of 13.6 TeV, during the first week of August 2022, corresponding to an integrated luminosity of about 790 pb$^{-1}$.

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