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...
RooFit is a software package written in C++ for statistical data analysis that is part of ROOT. It is widely used in the High Energy Physics (HEP) community, with the most prominent users being the LHC collaborations. Recent RooFit development has focused on performance improvements and supporting new statistical analysis approaches to enable cutting-edge analyses, such as combined Higgs...
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...
The Geant4 simulation throughput of LHC experiments is limited by increasing detector complexity in the high-luminosity phase. As high-performance computing shifts toward heterogeneous architectures such as GPUs, GPU-accelerated particle transport simulations offer a potential way to improve performance. Currently, only electromagnetic showers can be offloaded to GPUs, making an efficient...
Geant4 based detector simulations make a significant contribution to the overall computing budget of the LHC experiments. The individual experiments have been investing considerable effort in making their simulations more and more efficient. These performance optimisations are now even more important in order to cope with the special computing challenges of the HL-LHC era.
G4HepEm is one...
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....
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...
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,...
There a number of studies of the general energy efficiency of different
programming languages, however relatively few look at HEP specific examples.
Here we present examples comparing energy efficiency of different jet
reconstruction codes in different languages: specifically C++, Julia and Python.
We also study the evolution of efficiency over recent releases of Julia and
Python.
We...
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...
