Conveners
Plenary session: Mon plenary 1
- Katy Ellis (Science and Technology Facilities Council STFC (GB))
Plenary session: Mon plenary 2
- Stephan Hageboeck (CERN)
Plenary session: Tue plenary 1
- Dorothea Vom Bruch (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)
Plenary session: Tue plenary 2
- Katy Ellis (Science and Technology Facilities Council STFC (GB))
Plenary session: Wed plenary 1
- Stephan Hageboeck (CERN)
Plenary session: Wed plenary 2
- Dorothea Vom Bruch (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)
Plenary session: Thu plenary 1
- Katy Ellis (Science and Technology Facilities Council STFC (GB))
Plenary session: Thu plenary 2
- Stephan Hageboeck (CERN)
Plenary session: Fri plenary 1
- Dorothea Vom Bruch (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)
Plenary session: Fri plenary 2
- Katy Ellis (Science and Technology Facilities Council STFC (GB))
The IRIS-HEP software institute, as a contributor to the broader HEP Python ecosystem, is developing scalable analysis infrastructure and software tools to address the upcoming HL-LHC computing challenges with new approaches and paradigms, driven by our vision of what HL-LHC analysis will require. The institute uses a “Grand Challenge” format, constructing a series of increasingly large,...
For the High-Luminosity Large Hadron Collider era, the trigger and data acquisition system of the Compact Muon Solenoid experiment will be entirely replaced. Novel design choices have been explored, including ATCA prototyping platforms with SoC controllers and newly available interconnect technologies with serial optical links with data rates up to 28 Gb/s. Trigger data analysis will be...
Julia is a mature general-purpose programming language, with a large ecosystem of libraries and more than 10000 third-party packages, which specifically targets scientific computing. As a language, Julia is as dynamic, interactive, and accessible as Python with NumPy, but achieves run-time performance on par with C/C++. In this paper, we describe the state of adoption of Julia in HEP, where...
Detailed event simulation at the LHC is taking a large fraction of computing budget. CMS developed an end-to-end ML based simulation that can speed up the time for production of analysis samples of several orders of magnitude with a limited loss of accuracy. As the CMS experiment is adopting a common analysis level format, the NANOAOD, for a larger number of analyses, such an event...
The ATLAS Collaboration has released an extensive volume of data for research use for the first time. The full datasets of proton collisions from 2015 and 2016, alongside a wide array of matching simulated data, are all offered in the PHYSLITE format. This lightweight format is chosen for its efficiency and is the preferred standard for ATLAS internal analyses. Additionally, the inclusion of...
Quantum computers have reached a stage where they can perform complex calculations on around 100 qubits - referred to as Quantum Utility Era.
They are being utilized in industries such as materials science, condensed matter, and particle physics for problem exploration beyond the capabilities of classical computers. In this talk, we will highlight the progress in both IBM quantum hardware...
This year CERN celebrates its 70th Anniversary, and the 60th anniversary of Bell's theorem, a result that arguably had the single strongest impact on modern foundations of quantum physics, both at the conceptual and methodological level, as well as at the level of its applications in information theory and technology.
CERN has started its second phase of the Quantum Technology Initiative with...
As CERN approaches the launch of the High Luminosity-LHC Large Hadron Collider (HL-LHC) by the decade’s end, the computational demands of traditional simulations have become untenably high. Projections show millions of CPU-years required to create simulated datasets - with a substantial fraction of CPU time devoted to calorimetric simulations. This presents unique opportunities for...
Recent Large Language Models like ChatGPT show impressive capabilities, e.g. in the automated generation of text and computer code. These new techniques will have long-term consequences, including for scientific research in fundamental physics. In this talk I present the highlights of the first Large Language Model Symposium (LIPS) which took place in Hamburg earlier this year. I will focus on...
A diverse panel that will discuss the potential impact of the progress in the fields of Quantum Computing and the latest generation of Machine Learning, like LLMs. On the panel are experts from QC, LLM, ML in HEP, Theoretical Physics and large scale computing in HEP. The discussion will be moderated by Liz Sexton Kennedy from the Fermi National Accelerator Laboratory.
To submit questions...
The Dirac interware has long served as a vital resource for user communities seeking access to distributed computing resources. Originating within the LHCb collaboration around 2000, Dirac has undergone significant evolution. A pivotal moment occurred in 2008 with a major refactoring, resulting in the development of the experiment-agnostic core Dirac, which paved the way for customizable...
The ATLAS Google Project was established as part of an ongoing evaluation of the use of commercial clouds by the ATLAS Collaboration, in anticipation of the potential future adoption of such resources by WLCG grid sites to fulfil or complement their computing pledges. Seamless integration of Google cloud resources into the worldwide ATLAS distributed computing infrastructure was achieved at...
The metadata schema for experimental nuclear physics project aims to facilitate data management and data publication under the FAIR principles in the experimental Nuclear Physics communities, by developing a cross-domain metadata schema and generator, tailored for diverse datasets, with the possibility of integration with other, similar fields of research (i.e. Astro and Particle...
For several years, the ROOT team is developing the new RNTuple I/O subsystem in preparation of the next generation of collider experiments. Both HL-LHC and DUNE are expected to start data taking by the end of this decade. They pose unprecedented challenges to event data I/O in terms of data rates, event sizes and event complexity. At the same time, the I/O landscape is getting more diverse....
During Run-3 the Large Hadron Collider (LHC) experiments are transferring up to 10PB of data daily across the Worldwide LHC Computing Grid (WLCG) sites. However, following the transition from Run-3 to Run-4, data volumes are expected to increase tenfold. The WLCG Data Challenge aims to address this significant scaling challenge through a series of rigorous test events.
The primary objective...
Back in the late 1990’s when planning for LHC computing started in earnest, arranging network connections to transfer the huge LHC data volumes between participating sites was seen as a problem. Today, 30 years later, the LHC data volumes are even larger, WLCG traffic has switched from a hierarchical to a mesh model and yet almost nobody worries about the network.
Some people still do...
The Jiangmen Underground Neutrino Observatory (JUNO) in southern China has set its primary goals as determining the neutrino mass ordering and precisely measuring oscillation parameters. JUNO plans to start data-taking in late 2024, with an expected event rate of approximately 1 kHz at full operation. This translates to around 60 MB of byte-stream raw data being produced every second,...
High-Luminosity LHC will provide an unprecedented amount of experimental data. The improvement in experimental precision needs to be matched with an increase of accuracy in the theoretical predictions, stressing our compute capability.
In this talk, I will focus on the current and future precision needed by LHC experiments and how those needs are supplied by Event Generators. I will focus...
In this contribution, we’ll review the status of the ROOT project towards the end of LHC Run 3.
We'll review its structure, available effort and management strategy, allowing to push innovation while guaranteeing long term support.
In particular, we'll describe how ROOT became a veritable community effort attracting contributions not only from the ROOT team, but from collaborators at labs,...
Historically, DESY has been a HEP site with its on-site accelerators DESY, PETRA, DORIS, and HERA. Since the end of the HERA data taking, a strategic shift has taken place at DESY towards supporting Research with Photons with user facilities at the Hamburg site in addition to the continuing support for Particle Physics. Since then some of the existing HEP accelerators have been redesigned to...
We present first results from a new simulation of the WLCG Glasgow Tier-2 site, designed to investigate the potential for reducing our carbon footprint by reducing the CPU clock frequency across the site in response to a higher-than-normal fossil-fuel component in the local power supply. The simulation uses real (but historical) data for the UK power-mix, together with measurements of power...
Decades of advancements in computing hardware technologies have enabled HEP experiments to achieve their scientific objectives, facilitated by meticulous planning and collaboration among all stakeholders. However, the path to HL-LHC demands a continuously improving alignment between our ever increasing needs and the available computing and storage resources, not matched by any increase in...
