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ATLAS usage of the Czech national HPC center: HyperQueue, cvmfsexec, and other news
No full textThe distributed computing of the ATLAS experiment at the Large Hadron Collider (LHC) utilizes computing resources provided by the Czech national High Performance Computing (HPC) center, IT4Innovations. It is done through ARC-CEs deployed at the Czech Tier2 site, praguelcg2. Over the years, this system has undergone continuous evolution, marked by recent enhancements aimed at improving resource utilization efficiency. One key enhancement involves the implementation of the HyperQueue meta-scheduler. It enables a division of whole-node jobs into several smaller, albeit longer, jobs, thereby enhancing CPU efficiency. Additionally, the integration of cvmfsexec enables access to the distributed CVMFS filesystem on compute nodes without requiring any special configurations, thereby substantially simplify software distribution and broadening the range of tasks eligible for execution on HPC. Another notable change was the migration of the batch system from PBSpro to Slurm
Beyond the Standard Model in the Higgs sector
No full textThe discovery of the Higgs boson with the mass of about 125 GeV completed the particle content predicted by the Standard Model. Even though this model is well established and consistent with many measurements, it is not capable to solely explain some observations. Many extensions of the Standard Model addressing such shortcomings introduce additional Higgs bosons, beyond-the-Standard-Model couplings to the Higgs boson, or new particles decaying into Higgs bosons. In this talk, the latest searches in the Higgs sector by the ATLAS experiment are reported, with emphasis on the results obtained with the full LHC Run 2 dataset at 13 TeV
Voxxed Days CERN 2025
No full textIf you are a developer whose curiosity is piqued by technological developments around Jav
CERN PGDay 2025
No full textCERN is known for producing, processing, and storing vast amounts of data, most of which consists of physics-related information — snapshots of particle collisions recorded by detectors in experiments. Large Detector Control Systems at CERN enable the controlled operation of complex research equipment and generate "conditions" data. This data describes the time evolution of parameters such as voltages, pressures, and temperatures, which are essential for physics data analysis and ensuring reproducibility.
These control systems include over 800 mission-critical SCADA systems built on SIMATIC WinCC Open Architecture software, developed by ETM (Siemens). Together, they produce hundreds of gigabytes of time-series data daily. Storing and querying this data efficiently is the responsibility of the NextGen Archiver module of WinCC OA, a solution developed collaboratively by CERN and Siemens through the CERN openlab project. The ever-growing data volumes and throughput, combined with the need for fast, responsive user interfaces for data visualization, have posed significant challenges for the project.
In this presentation, we will share the lessons learned during the development of the NextGen Archiver. The NextGen Archiver supports multiple database technologies through pluggable backends, offering PostgreSQL and TimescaleDB as alternatives to Oracle Database, which has been used for WinCC OA archiving for over 15 years.
We will walk you through the processes and tools used to evaluate the performance and scalability of various database technologies and schemas considered during the project. Additionally, we will examine the impact of TimescaleDB features, such as compression and continuous aggregates, on improving query performance and reducing storage requirements
CERN PGDay 2025
No full textAs a developer, you may follow continuous delivery practices yet treat your database as an external component, introducing risks with changes and migrations. It's time to change that by embracing microservice databases within your organisation.
This talk explores how PostgreSQL and Kubernetes, through CloudNativePG, can help you establish a seamless, open-source, vendor-neutral microservice database environment. We'll discuss how adopting technical DevOps capabilities enables multidisciplinary development teams to create microservice-based applications that integrate smoothly with their databases, owning the entire flow to the end user.
This approach eliminates dependencies that translate into bottlenecks, reduces cognitive load, improves quality, and enhances agility. Additionally, PostgreSQL’s ACID transactional DDL simplifies database change management, allowing for complete rollbacks in case of errors
Recent Updates to the Popular ATLAS Virtual Visit Programme
No full textVirtual Visits have been an integral component of the ATLAS Education and Outreach programme since their inception in 2010. Over the years, collaboration members have hosted visits for tens of thousands of visitors located all over the globe. In 2024, alone there have already been 59 visits through the month of May. Visitors in classrooms, festivals, events or even at home have a unique opportunity to engage with scientists located either underground in the ATLAS experimental cavern or in front of the control room, to learn about the goals and achievements of the collaboration. As part of the renovation of the ATLAS Visitor Centre at LHC Point 1, a new installation was constructed to facilitate Virtual Visits during the running of LHC. We present the overall programme, the new installation and discuss recent initiatives to expand our reach, including Open Visits on Zoom, Facebook, YouTube and TikTok Live
Application of the VMM3a/SRS: A t0-less TWIN GEM-based TPC
No full textIntegrating the ATLAS/BNL VMM3a ASIC (Application Specific Integrated Circuit) into the RD51/SRS (Scalable Readout System) provides a self-triggered continuous readout system for various gaseous detectors. Since the system allows flexible parameters, such as switching the polarity, adjusting electronics gain or different peaking times, the settings can be adjusted for a wide range of detectors. The system allows particles to be recorded with a MHz interaction rate in energy, space, and time. The system will be introduced in the beginning, and short examples will be given for different applications. After, the Twin GEM TPC will be discussed in more detail to show the benefits of such a trigger-less system in combination with the Twin configuration. Last, a few results for the tracking performance and the possibility to operate as a tracking telescope will be shown. Thus, this presents the possibility of an extremely low material budget tracking system suitable for tracking from high to low-energy particle beams
ATLAS Computing Acknowledgements
No full textDocument listing the centres providing major contributions to ATLAS computing in terms of CPU resources in 2023 and 2024. To be referenced in the acknowledgement section of ATLAS papers