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Jury selects best projects for CERN's stand at Cité des Metiers (City of trades)
No full textCité des métiers (City of trades), Switzerland’s largest exhibition on careers and training will be held at Palexpo 25 to 30 November 2025 A dedicated project has been created: to reinforce educational values, a local design school (interior design section) works on our stand as part of their study projec
Time resolution of the diamond detectors in the CMS Precision Proton Spectrometer in 2024
No full textThe Precision Proton Spectrometer (PPS) is a forward-proton
spectrometer using near-beam detectors (inside Roman Pots,
RPs) located symmetrically on both sides of IP5 at a distance of
about 220 m. In addition to the tracking system, the timing
detectors measure the Time-Of-Flight (TOF) of the protons
produced in central exclusive interactions. In 2024, one
cylindrical and one box RPs in each sector were equipped with
four double-diamond planes. This note describes the timing
resolution of the sensors, a necessary ingredient to assess the
precision of the TOF measurement
People working on the IT String
No full textA selection of photos showing recent work being done in the HL-LHC IT String. Activities shown include electrical quality assurance tests, welding and interconnection work
Development of POTATO for 2S Module Grading for the CMS Phase-2 Outer Tracker Upgrade
No full textDue to the High Luminosity-Large Hadron Collider (HL-LHC) upgrade, several detectors of the Compact Muon Solenoid (CMS) will need to be upgraded, specifically the new Outer Tracker detector that will be composed of 13,200 silicon modules. The Outer Tracker features two types of modules; the PS (pixel-strip) and the 2S (strip-strip) modules. With a large influx of production of modules, extensive testing is required to ensure they fulfill the performance requirements. This research introduces POTATO (Phase-II Outer Tracker Analyzer of Test Outputs), a specialized software developed in C++ to analyze, grade, and store results in a centralized database since module data will be collected from various international production facilities. The implementation of POTATO will facilitate the selection of the best performing modules for the Outer Tracker upgrade. This paper is focused on the implementation of the analysis of 2S Module results within POTATO
Standard Model multibosons
No full textThe study of multi-boson processes at the ATLAS experiments at the Large Hadron Collider (LHC) provides crucial tests of the Standard Model (SM) at the TeV scale. These measurements, including differential cross-sections and vector boson scattering (VBS), are essential for validating existing models and probing the mechanisms of electroweak symmetry breaking. Additionally, the search for anomalous triple and quartic gauge couplings (T/QGC) in multi-boson events is vital for identifying potential new physics beyond the SM. These processes are particularly sensitive to deviations in the structure of the SM, offering a direct avenue for discovering new interactions or particles. Effective Field Theory (EFT) interpretations are often used to parameterize these interactions, further enhancing our understanding of physics at high energy scales
ECAL performance with 2025 data: monitoring and spike contamination
No full textECAL performance with 2025 data: monitoring and spike contamination
CMS Tracker Alignment Performance Results for 2024 Data Taking and Early Reprocessing
No full textThe tracking system of the CMS experiment is the world's largest silicon tracker with its 1856 and 15148 silicon pixel and strip modules, respectively. To accurately reconstruct trajectories of charged particles the position, rotation, and curvature of each module must be corrected such that the alignment resolution is smaller than, or comparable to, the hit resolution. This procedure is known as tracker alignment. Various pixel detector calibration and/or alignment updates throughout the year as well as the use of Prompt Calibration Loop workflows contributed to the very good performance achieved during data taking. Furthermore, the alignment conditions for the early period of data taking up to June 2024, corresponding to 28 fb of delivered integrated luminosity, were optimized with the aim to improve physics precision in the data reprocessing. In this document, the results of this effort are presented with a
focus on physics performance
CS3 2025 - Cloud Storage Synchronization and Sharing
No full textWhen AI news shakes stock markets around the world, we can be sure that the next big thing is only a step away. How do we cope with this hyper-exponential development? Does it clash with a conservative approach to IT infrastructure design?
From an engineer’s perspective:
- Why “Private AI” in the organization – not just relying on Cloud services?
- Taming the avalanche of new AI models.
- Low-hanging fruits for AI projects in infrastructure departments.
- How Storage and Cybersecurity can benefit from AI.
- What’s cooking in the labs
CS3 2025 - Cloud Storage Synchronization and Sharing
No full textOnedata [1] is a high-performance, distributed data management system designed for global infrastructures. It provides seamless access to heterogeneous storage resources and supports diverse use cases ranging from personal data management to large-scale scientific computations. Leveraging a fully distributed architecture, Onedata facilitates the creation of hybrid cloud environments that integrate private and public cloud resources. The system enables users to collaborate, share, and publish data while supporting high-performance computations on distributed datasets via various interfaces, including POSIX-compliant native mounts, pyfs (Python filesystem) plugins, REST/CDMI APIs, and an S3 protocol (currently in beta).
Recent advancements in Onedata include the development of the *fs.onedatarestfs* Python library, a lightweight *pyfilesystem* client built upon the *OnedataFileRESTClient* library. Within the scope of the EuroScienceGateway project [2], these libraries have been instrumental in integrating Onedata with the Galaxy Project [3] , an open-source platform for data analysis workflows predominantly used in the life sciences. This integration has resulted in a new File Source Plugin and an Object Store for Galaxy. The File Source Plugin enables users to import and export datasets between Onedata and Galaxy, while the Object Store integration allows Onedata to function as a backend storage system for Galaxy datasets. This implementation takes advantage of Onedata’s distributed architecture, creating a synergy with Galaxy’s distributed network of Pulsar endpoints (workflow execution services). By tracking data distribution, it opens the door to locality-aware, smart workflow scheduling, which can reduce data transfer costs, processing delays, and energy usage.
Onedata is currently deployed in several European projects, including EUreka3D [4], EuroScienceGateway [2], DOME [5], and InterTwin [6]. In these projects, Onedata provides a data transparency layer for managing large, distributed datasets in dynamic, hybrid cloud environments with containerized deployments.
Acknowledgements. This work is co-financed by the Polish Ministry of Education and Science under the program entitled International Co-financed Projects (projects no. 5398/DIGITAL/2023/2 and 5399/DIGITAL/2023/2)
References:
1. Onedata. https://onedata.org.
2. EuroScienceGateway Project: Open Infrastructure for Data-Driven Research. https://galaxyproject.org/projects/esg/.
3. The Galaxy Project. https://galaxyproject.org/.
4. EUreka3D: European Union’s REKonstructed in 3D. https://eureka3d.eu.
5. DOME: A Distributed Open Marketplace for Europe Cloud and Edge Services. https://dome-marketplace.eu.
6. InterTwin: Interdisciplinary Digital Twin Engine for Science. https://intertwin.eu