ROOT is a unified software package for the storage, processing, and analysis of scientific data: from its acquisition to the final visualization in the form of highly customizable, publication-ready plots. Successfully used by experiments and thousands of physicists, the ROOT Project is preparing its seventh release cycle, sustained by intense R&D activities.
In this contribution, after...
One of the objectives of the EOSC (European Open Science Cloud) Future Project was to integrate diverse analysis workflows from Cosmology, Astrophysics and High Energy Physics in a common framework. This led to the inception of the Virtual Research Environment (VRE) at CERN, a prototype platform supporting the goals of Dark Matter and Extreme Universe Science Projects in compliance with FAIR...
NOTE: this contribution was actually part of the Facilities session, which overflowed into the afternoon.
A users perspective on typical problems faced throughout an analysis cycle, the ad-hoc solutions implemented, and the limited view a user has of the Grid and how it is displayed to them.
The existing roadmaps and computing model plans from ATLAS and CMS for the HL-LHC area are primarily focused on the centralized aspect of computing: those steps that lead up to sets of files made available to physicists for analysis. The general approaches, resources used, and software frameworks for the area of “end-user physics analysis”, which starts from those files, are much less clearly...
Next to HEP other scientific communities have emerged producing large amounts of data and requier correspondingly processing power. While Analysis Facilities can be optimized to specific workflows, the underlying risk is a highly specialised and inflexible lock-in. By aiming for an interdisciplicary approach concentrating on established industry standards and establishing generic interfaces,...
As the HL-LHC era approaches, the scale and complexity of data present challenges for analysis workflows within ATLAS and other HL-LHC experiments. This contribution reports on recent developments in ServiceX, a cross experiment utility, and its role as a data delivery and transformation service within the analysis ecosystem. Designed to bridge the gap between centrally produced datasets and...
This contribution will present how the EVERSE project interfaces with the European Open Science Clusters (ENVRI-FAIR for environmental sciences, Life Sciences RI, ESCAPE for Particle physics and astrophysics, PaNOSC for Photon and neutron science and SSHOC for social sciences and humanities) through use cases of software packages or infrastructures that are in current used by researchers....
The Research Software Quality Toolkit (RSQKit - https://everse.software/RSQKit/), developed by the EVERSE project, lists curated best practices in improving the quality of your research software. It is intended for use by researchers, research software engineers, as well as those running research infrastructures involving software or involved in research software-related policy and funding....
Scikit-HEP is a community-driven and community-oriented project with the goal of providing an ecosystem for particle physics data analysis in Python fully integrated with the wider scientific Python ecosystem. The project provides many packages and a few “affiliated” packages for data analysis. It expands the typical Python data analysis tools for particle physicists, with packages spanning...
Marionette is a header-only C++ library that was designed to allow the description of arbitrary data structures that can work across heterogeneous compute devices and on the host, providing complete interoperability and convenient interfaces with no impact on runtime performance. This is achieved by decoupling the description of the data to be held from the way in which data will be stored,...
AUDITOR (Accounting Data Handling Toolbox for Opportunistic Resources) is a flexible and extensible accounting system designed to support a wide range of use cases and infrastructures. Its integration with APEL enables it to function as a generic component within the WLCG accounting infrastructure, tracking the usage of various types of site computing resources. Several WLCG sites have...
The EVERSE project aims to collect, enhance and curate training resources aligned with domain-specific practices, create a long-term training activity supported by community services and platforms and establish a framework for recognizing Trainers and RSEs.
This contribution will describe how EVERSE plans to collect and provide training, guidance and education to researchers, software...
Since their discovery in 2015, gravitational waves have become a hot topic in physics research.
Gravitational-wave data produced by the LVK Collaboration, formed by the LIGO, Virgo and KAGRA collaborations, become fully public after a grace period; combined with the relative simplicity of the data themselves (one time series of the main signal channel per each interferometer, plus some simple...
A few years ago, primarily young scientists of the DESY particle physics division founded a forum for sustainability to enhance awareness of the environmental impact of research and to propose measures to reduce the energy footprint. Since computing is a substantial consumer of resources in particle physics, the forum initiated a series of workshops on computing with the aim of training...
The ePIC Software User Learning group supports the ePIC Collaboration by providing resources and opportunities for new user onboarding, software training events, and maintaining documentation. The ePIC Software employs a User-Centered Design model and supports the detector simulation and geometry design, analysis of physics and event reconstruction, and provides benchmarks to ensure a cohesive...
The HSF Training group has built a fruitful learning environment within the high-energy and nuclear physics community through the organization of numerous training events. This talk will share practical insights gained from years of experience in planning and executing training events. We have learnt that organizing effective training requires careful planning, continuous adaptation, and the...
Talk to set the scene and summarise the actions from the WLCG environmental sustainability workshop in December 2024: https://indico.cern.ch/event/1450885/timetable/
To support the sustainability of WLCG compute infrastructure, we propose a strategy to extend the current job monitoring system to include energy consumption data. Currently, WLCG monitoring systems primarily focus on traditional job metrics such as CPU time, memory usage, runtime, and failure rates.
However, they do not capture job-level power consumption, as this data is typically managed...
This contribution will detail initial plans for reducing peak day loads at the DESY computing center during the summer.
GreenDIGIT (https://greendigit-project.eu/) is a TECH-01-01 Horizon Europe project that started in March 2024 to pursue environmental sustainability within digital services and service ecosystems that research infrastructures (RIs) rely on. GreenDIGIT brings together institutes from 4 digital RIs: EGI, SLICES, EBRAINS, and SoBigData to address the pressing need for sustainable practices in...
In this talk, we will describe the studies undertaken at the University of Manchester to estimate and improve the energy efficiency of computing hardware and software used by students and researchers.
The goal of these studies is to build an understanding of the environmental impact of paticle physics research focusing on two fronts:
1) the carbon cost of the hardware uses for high power...
In this contribution, we will describe the efforts within the ATLAS experiment to evaluate and mitigate various aspects of the environmental impact of ATLAS computing sites, such as building awareness in the experiment community, adjusting aspects of the computing policy, and modifications of data center configurations, either in ways that take advantage of particular features of ATLAS work or...
This contribution will present the activities in LHCb online and offline towards environmentally sustainable computing.
