Conveners
Poster Session: Poster Session Tuesday
- Taylor Childers (Argonne National Laboratory)
Poster Session: Poster Session Thursday
- Taylor Childers (Argonne National Laboratory)
-
Jones, Roger (Lancaster University)PosterPoster
When a new long-term storage facility was needed at the Lancaster WLCG Tier-2 Site, an architecture was chosen involving CephFS as a failure-tolerant back-end volume, and load-balanced XRootD as an endpoint exposing the volume via the HTTPS/DAVS protocols increasingly favoured by the WLCG and other users. This allows operations to continue in the face of disc/node failures with minimal...
Go to contribution page -
Giannini, Leonardo (UCSD)PosterPoster
The CMS tracking follows an iterative approach. Tracks are reconstructed in multiple passes starting from the ones that are easiest to find and moving to the ones with more complex topologies (lower transverse momentum, high displacement). A track classification is applied after each iteration using multivariate analysis and several selection requirements are defined: loose, tight, and high...
Go to contribution page -
Cavallini, Viola (INFN and University of Ferrara)PosterPoster
Timepix4 is a hybrid pixel detector readout ASIC developed by the Medipix4 Collaboration. It consists of a matrix of about 230 k pixels with 55 micron pitch, equipped with amplifier, discriminator and time-to-digital converter with 195 ps bin size that allows to measure time-of-arrival and time-over-threshold. It is equipped with two different types of links: slow control links, for the...
Go to contribution page -
Duyang, Hongyue (Shandong University)PosterPoster
The Jiangmen Underground Neutrino Observatory (JUNO) experiment is designed to measure the neutrino mass ordering (NMO) using a 20-kton liquid scintillator (LS) detector. Besides the precise measurement of the reactor neutrinos oscillation spectrum, an atmospheric neutrino oscillation measurement in JUNO offers independent sensitivity for NMO, which can potentially increase JUNO’s total...
Go to contribution page -
Wang, Tianle (Brookhaven National Lab)PosterPoster
Random number generator is an important component of many scientific projects. Many of those projects are written using programming models (like OpenMP and SYCL) to target different architectures. However, some of the programming models do not provide a random number generator. In this talk we are going to introduce our random number generator wrapper. It is a header-only library that supports...
Go to contribution page -
Vianello, Enrico (INFN)PosterPoster
Currently, the StoRM storage manager relies on the SRM specification to recall files from tape. Although SRM has served us well for many years, its complexity has pushed the WLCG community to adopt a simpler approach, more in line with modern web technologies.
Go to contribution page
The WLCG tape REST API offers a common HTTP interface allowing clients to manage disk residency of tape-stored files and observe the... -
Dack, Tom (STFC UKRI)PosterPoster
Since 2020, UKRI/STFC’s Scientific Computing Department (SCD) have developed several remote-first public engagement activities, drawing on its long and rich history of delivering face to face public engagement and outreach, as part of the wider STFC programme.
With COVID-19 restrictions lifted in the UK, STFC has been able to resume in-person public engagement, both on site and in public...
Go to contribution page -
Fu, Shiyuan ( Institute of High Energy Physics, CAS)PosterPoster
Delphes is a C++ framework to perform a fast multipurpose detector response simulation. The Circular Electron Positron Collider (CEPC) experiment runs fast simulation with a modified Delphes based on its own scientific objectives. The CEPC fast simulation with Delphes is a High Throughput Computing (HTC) application with small input and output files. Besides, to compile and run Delphes, only...
Go to contribution page -
Fu, Shiyuan ( Institute of High Energy Physics, CAS)PosterPoster
Slurm REST APIs are released since version 20.02. With those REST APIs one can interact with slurmctld and slurmdbd daemons in a RESTful way. As a result, job submission and cluster status query can be achieved with a web system. To take advantage of Slurm REST APIs, a web workbench system is developed for the Slurm cluster at IHEP.
Go to contribution page
The workbench system consists with four subsystems:... -
Chudoba, JiriPosterPoster
The ATLAS experiment at the LHC utilizes complex multicomponent distributed systems for processing (PanDA WMS) and managing (Rucio) of data. The complexity of the relationships between components, the amount of data being processed and the continuous development of new functionality of the critical systems are the main challenges to consider when creating monitoring and accounting tools able...
Go to contribution page -
Posada Trobo, Ismael (CERN)PosterPoster
The web hosting infrastructure at CERN provides a range of solutions fulfilling the diverse needs of the community, from simple/static sites to content management systems (Drupal) to complex web applications (Platform-as-a-Service).
Go to contribution page
An ambitious plan to modernize the web hosting infrastructure started in 2019, aiming at consolidating the various hosting technologies on a shared multi-tenant... -
Mr Jones, Ben (CERN)PosterPoster
LHC@home was launched as a BOINC project in 2004 as an outreach project for CERN's 50 years anniversary. Initially focused on the accelerator physics simulation code SixTrack, the project was expanded in 2011 to run other physics simulation codes on Linux thanks to virtualisation. Later on the experiment and theory applications running on the LHC@home platform have evolved to use containers...
Go to contribution page -
David, Claire (York University (CA) / FNAL (US))Track 8 - Collaboration, Reinterpretation, Outreach and EducationPoster
Documentation on all things computing is vital for an evolving collaboration of scientists, technicians, and students. Using the MediaWiki software as the framework, a searchable knowledge base is provided via a secure web interface to the large cadre of colleagues working on the DUNE far and near detectors. Organization information, links relevant to working groups, operations and...
Go to contribution page -
McKee, Shawn (University of Michigan Physics)PosterPoster
WLCG relies on the network as a critical part of its infrastructure and therefore needs to guarantee effective network usage and prompt detection and resolution of any network issues, including connection failures, congestion and traffic routing. The OSG Networking Area, in partnership with the WLCG Throughput working group, has created a monitoring infrastructure that gathers metrics from the...
Go to contribution page -
Dr Giommi, Luca (INFN CNAF)PosterPoster
Anomaly detection in data center IT and physical infrastructures is challenging due to the amount of heterogeneous data to be analyzed. Indeed, they include, among others, CPU and memory consumption, network traffic, cooling and electrical states. Defining a solution that early identifies unexpected anomalies is particularly important to prevent data losses, breakdown of the system, and any...
Go to contribution page -
Anderson, Tyler (Stanford)PosterPoster
Characterizing backgrounds is an extremely important task for any dark matter search, and almost every new detector encounters unexpected backgrounds. Such was the case in LZ's first science run, in which several detector effects contributed novel backgrounds. Where the new background events exhibited abnormal PMT waveforms, these features allowed them to be identified using pulse shape...
Go to contribution page -
Byrne, Thomas (UKRI - STFC)PosterPoster
ANTARES (A New Tape ARchive for STFC) is the new tape archive service at RAL Tier-1 that went into production on 4th of March 2022. The service is built around the EOS/CTA technologies developed at CERN. EOS is the user facing service that manages the incoming namespace requests and a thin SSD buffer, and CTA is deployed as the tape back-end system. In this talk, we describe the setup of...
Go to contribution page -
Chen, Zhengyuan (Institute of High Energy Physics Chinese Academy of Sciences)PosterPoster
Particle identification is an important ingredient to particle physics experiments. Distinguishing the charged hadrons (pions, kaons, protons and their antiparticles) is often crucial, in particular for hadronic decays which could be studied with an efficient particle identification to obtain a desirable signal-to-background ratio. An optimal performance of particle identification in a large...
Go to contribution page -
JIANG, ZhixingPosterPoster
During the next update of the High-Luminosity Large Hadron Collider (HL-LHC) of ATLAS, a new global trigger subsystem will be installed into the L0 Trigger. New and improved hardware and algorithms will be deployed during the upgrade to increase the performance of the trigger system. The global trigger subsystem consists of various components, including the FPGA-based Global Event Processor...
Go to contribution page -
Smirnova, Oxana (Lund University)PosterPoster
[Nordugrid ARC][1] is widely used today in the Worldwide LHC Computing Grid as one of the two recommended middlewares connecting the grid sites. It has served the WLCG and the High Energy Physics Communities very well since its birth in 2002. Now though, ARC aims to reach more communities outside of HEP like for instance in the fields of Bioinformatics, Astrophysics and Climate Research to...
Go to contribution page -
Garg, rocky (Stanford University)PosterPoster
The ATLAS software tutorial is a centrally organized suite of educational materials that helps to prepare newcomers for work in ATLAS. The broad objective is to familiarize participants with the basic skills needed to accomplish data analysis tasks, with a strong focus on software tools. In this talk, we will outline the recent changes to the ATLAS software tutorial to follow a project-based...
Go to contribution page -
Bourilkov, Dimitri (University of Florida), Kim, Bockjoo (University of Florida)PosterPoster
Modern large distributed computing systems produce large amounts of monitoring data. In order for these systems to operate smoothly, under-performing or failing components have to be identified quickly, and preferably automatically, enabling the system managers to react accordingly.
Go to contribution page
In this contribution, we analyze job and data transfer data collected in the running of the LHC computing... -
Whitehouse, Dan (Imperial College)PosterPoster
Imperial College London hosts a large Tier-2 WLCG grid site based around a HTCondor batch system; additionally it provides cloud computing facilities using Openstack to non-WLCG activities. These cloud resources are open to opportunistic usage, provided the impact on the primary cloud users remains low.
Go to contribution page
In common with most Tier 2 sites we see constant job pressure from the WLCG VOs, while the... -
Moneta, Lorenzo (CERN)PosterPoster
Through its TMVA package, ROOT provides and connects to machine learning tools for data analysis at HEP experiments and beyond. In addition, ROOT provides through its powerful I/O system and RDataFrame analysis tools the capability to efficiently select and query input data from large data sets as typically used in HEP analysis. At the same time, several existing Machine Learning tools exist...
Go to contribution page -
Raduta, George (CERN)PosterPoster
The ALICE experiment at CERN's Large Hadron Collider is designed to study the physics of strongly interacting matter at extreme energy densities. After a major upgrade, the new ALICE Online-Offline computational system expects to read an estimated throughput of 3.5TB/s of raw data and store and index 900Gb/s reconstructed data. The complexity of this endeavour implies the need for a...
Go to contribution page -
Ren, Yihui (Brookhaven National Laboratory)PosterPoster
Many large-scale physics experiments, such as ATLAS at the Large Hadron Collider, Deep Underground Neutrino Experiment and sPHENIX at the Realistic Heavy Ion Collider, rely on accurate simulations to inform data analysis and derive scientific results. Their inevitable inaccuracies may be detected and corrected using heuristics in a conventional analysis workflow.
Go to contribution page
However, residual errors... -
Currie, Robert (University of Edinburgh)PosterPoster
Software development projects at Edinburgh identified a desire to build and manage our own monitoring platform. This better allows us to support the developing and varied physics and computing interests of our Experimental Particle Physics group. This production platform enables oversight of international experimental data management, local software development projects and active monitoring...
Go to contribution page -
Gonzalez, Hugo (CERN)PosterPoster
The CERN IT Storage group ensures the coherent design, development, operation and evolution of storage and data management services at CERN for all aspects of physics, user and project data and general needs of the Laboratory. CERNBox is one of the services that actively contributes to this objective.
CERNBox is a cloud collaboration platform providing storage space (18PB) to users (37K...
Go to contribution page -
Jones, Christopher (Fermilab)PosterPoster
Today the LHC offline computing relies heavily on CPU resources, despite the interest in compute accelerators, such as GPUs, for the longer term future. The number of cores per CPU socket has continued to increase steadily, reaching the levels of 64 cores (128 threads) with recent AMD EPYC processors, and 128 cores on Ampere Altra Max ARM processors. Over the course of the past decade, the CMS...
Go to contribution page -
Gonzalez De La Hoz, Santiago (IFIC - Univ. of Valencia and CSIC (ES))PosterPoster
The ATLAS Spanish Tier-1 and Tier-2s have more than 18 years of experience in the deployment and development of LHC computing components and their successful operations. The sites are actively participating in, and even coordinating, R&D computing activities in the LHC Run3 and developing the computing models needed in HL-LHC period.
In this contribution, we present details on the...
Go to contribution page -
King, SophiePosterPoster
Hyper-Kamiokande is a next generation underground water Cherenkov detector, with the primary goal of constraining CP-violation in the lepton sector. It has a rich science programme that includes neutrino oscillation studies, neutrino astrophysics and searches for BSM physics including proton decay. Based on the experience of its predecessor Super-Kamiokande, it has a total (fiducial) volume...
Go to contribution page -
Ratnikov, Fedor (HSE University)PosterPoster
High energy physics experiments heavily rely on the results of MC simulation of data used to extract physics results. However, the detailed simulation often requires tremendous amount of computation resources.
Using Generative Adversarial Networks and other deep learning generative techniques can drastically speed up the computationally heavy simulations like a simulation of the calorimeter...
Go to contribution page -
Schnepf, Matthias (Karlsruhe Institute of Technology)PosterPoster
Most common CPU architectures provide simultaneous multithreading ( SMT). Thereby, the operating system sees, per physical core, two logical cores and can schedule two processes to one physical CPU core. This overbooking of physical cores enabled a better usage of parallel pipelines and doubled components within a CPU core. On systems with several applications running in parallel, such as...
Go to contribution page -
Dossett, David (University of Melbourne)PosterPoster
Until now the grid storage at Melbourne was provided by the DPM storage system which is now reaching the end of support, as well as the end of the disk lifetimes. Continuing to provide grid storage for the ATLAS and Belle II experiments requires that we move to a new solution; one that can be supported long term with minimal manpower by taking advantage of existing resources at Melbourne. Over...
Go to contribution page -
Paparrigopoulos, Panos (CERN)PosterPoster
WLCG is a large heterogeneous computing infrastructure which provides resources for the LHC experiments. The Computing Resource Information Catalogue (CRIC) has been designed as the source for the WLCG topology information. CRIC aims to describe WLCG distributed sites, their services and how the provided resources are used by the LHC experiments. The CRIC instance dedicated to WLCG has become...
Go to contribution page -
Chudoba, JiriPosterPoster
Czech e-infrastructure project e-INFRA CZ is the only project for ICT services defined on the Road Map of the Czech Republic for Large Infrastructures for Research, Experimental Development and Innovations. It was created by 3 national e-infrastructures: CESNET, CERIT-SC and IT4Innovations. The project provides ICT services mostly for Czech universities and research institutions. High energy...
Go to contribution page -
Mrs Sahakyan, Marina (DESY)PosterPoster
The ever increasing amount of data that is produced by modern scientific facilities like EuXFEL or LHC puts a high pressure on the data management infrastructure at the laboratories. This includes poorly shareable resources of archival storage, typically, tape libraries. To achieve maximal efficiency of the available tape resources a deep integration between hardware and software components...
Go to contribution page -
Gavalian, Gagik (Jefferson Lab)PosterPoster
Modern Nuclear Physics experimental setups run experiments with higher beam intensity resulting in increased noise in detector components
Go to contribution page
used for particle track reconstruction. Increased uncorrelated signals (noise) result in decreased particle reconstruction efficiency.
In this work, we investigate the usage of Machine Learning, specifically Convolutional Neural Network Auto-Encoders... -
Ratnikov, Fedor (HSE University)PosterPoster
The aim of the LHCb Upgrade II at the LHC is to operate at a luminosity of 1.5 x 1034 cm-2 s-1 to collect a data set of 300 fb-1. This will require a substantial modification of the current LHCb ECAL due to high radiation doses in the central region and increased particle densities.
Go to contribution page
Advanced detector R&D for both new and ongoing experiments in HEP requires performing computationally intensive... -
Salt Cairols, José Francisco (Instituto de Física Corpuscular), Gonzalez De La Hoz, Santiago (IFIC - Univ. of Valencia and CSIC (ES))PosterPoster
ML/DL techniques have shown their power in the improvement of several studies and tasks in HEP, in particular, especially in physics analysis. Our approach has been to take a number of the ML/DL tools provided by several Open Source platforms applying them to several classification problems, for instance, to the ttbar resonance extraction in LHC experiment.
Go to contribution page
A comparison has been made... -
Scham, Moritz (Deutsches Elektronen-Synchrotron (DESY))PosterPoster
In High Energy Physics, detailed and time-consuming simulations are used for particle interactions with detectors. To bypass these simulations with a generative model, the generation of large point clouds in a short time is required, while the complex dependencies between the particles must be correctly modeled. Particle showers are inherently tree-based processes, as each particle is produced...
Go to contribution page -
Mr Da Costa Cardoso, Renato Paulo (CERN)PosterPoster
With the extended usage of machine learning models, more and more complex algorithms are being studied. On the one hand, the development and optimisation processes become more challenging, on the other hand studies about models generalisation and re-usability become interesting. In this context, efficient, flexible ways to track continuous changes during development, as well as relevant...
Go to contribution page -
Appleyard, Rob (UKRI STFC)PosterPoster
The RAL Scientific Computing Department provides support for several large experimental facilities. These include, among others, the ISIS neutron spallation source, the Diamond X-Ray Synchrotron, the Rosalind Franklin Institute, and the RAL Central Laser Facility. We use a number of Ceph storage clusters to support the diverse requirements of these users.
These include Deneb, a...
Go to contribution page -
Mr Lambert, Fabian (CNRS/LPSC), Dr Odier, Jérôme (CNRS/LPSC)PosterPoster
ATLAS Metadata Interface (AMI) is a generic ecosystem for metadata aggregation, transformation and cataloging. Benefiting from more than 20 years of feedback in the LHC context, the second major version was released in 2018. This poster describes how a renewed architecture and integration with modern technologies ease the usage and deployment of a complete AMI stack. It describes how to deploy...
Go to contribution page -
Gallas, Elizabeth (Oxford)PosterPoster
The ATLAS EventIndex is the global catalogue of all ATLAS real and simulated events. During the LHC long shutdown between Run 2 (2015-2018) and Run 3 (2022-2025) all its components were substantially revised and a new system was deployed for the start of Run 3 in Spring 2022. The new core storage system, based on HBase tables with a Phoenix interface rather than HDFS MapFiles, allows much...
Go to contribution page -
Fu, Shiyuan (IHEP)PosterPoster
Based on k8s cluster, High Energy Photon Source (HEPS) computing platform creates a container computing environment to provide analysis services for users. The computing platform provides a container data analysis environment based on jupyterlib with the jupyterhub web page as the entry point. The platform uses CVMFS to store the software library, and the container environment accesses the...
Go to contribution page -
Watts, Gordon (University of Washington)PosterPoster
Differentiable Programming could open even more doors in HEP analysis and computing to Artificial Intelligence/Machine Learning. Current common uses of AI/ML in HEP are deep learning networks – providing us with sophisticated ways of separating signal from background, classifying physics, etc. This is only one part of a full analysis – normally skims are made to reduce dataset sizes by...
Go to contribution page -
Chen, Yifan (SLAC National Accelerator Laboratory)PosterPoster
Liquid argon time projection chambers (TPCs) are widely used in particle detection. High quality physics simulators have been developed for such detectors in a variety of experiments, and the resulting simulations are used to aid in reconstruction and analysis of collected data. However, the degree to which these simulations are reflective of real data is limited by the knowledge of the...
Go to contribution page -
Ratnikov, Fedor (HSE University)PosterPoster
High-precision modeling of systems is one of the main areas of industrial data analysis today. Models of the systems, their digital twins, are used to predict their behavior under various conditions. We have developed a digital twin of a data storage system using generative models of machine learning. The system consists of several types of components: HDD and SSD disks, disk pools with...
Go to contribution page -
Liu, Jianli (Institute of High Energy Physics Chinese Academy of Sciences)Track 11 - Heterogeneous Computing and AcceleratorsPoster
As a conventional ptychography iteration reconstruction method, Difference Map (DM) is suitable for computing large datasets of X-ray diffraction patterns on multi-GPU heterogeneous system at HEPS (High Energy Photon Source). However, it is based on the fact that the GPU memory is big enough to handle CUDA FFT/IFFT to all the patterns to GPU from RAM. Meanwhile, the intermediate data during...
Go to contribution page -
Schnepf, Matthias (Karlsruhe Institute of Technology)PosterPoster
Providing high performance and reliable tape storage system is GridKa's top priority. The GridKa tape storage system was recently migrated from IBM SP to HighPerformance Storage System (HPSS) for LHC and non-LHC HEP experiments. These are two different tape backends and each has its own design and specifics that need to be studied and understood very deeply. Taking into account the features...
Go to contribution page -
Chudasama, RuchiPosterPoster
Deep learning techniques have been proven to provide excellent performance for a variety of high energy physics applications, such as particle identification, event reconstruction and trigger operations. Recently, we developed an end-to-end deep learning approach to identify various particles using low-level detector information from high energy collisions. These models will be incorporated in...
Go to contribution page -
Dr Simili, Emanuele (University of Glasgow)PosterPoster
We present a case for ARM chips as an alternative to standard x86 CPUs at WLCG sites, as we observed better performance and lower power consumption in a number of benchmarks based on actual HEP workloads, from ATLAS simulation and reconstruction tasks to the most recent HEP-Score containerised jobs.
To support our case, we present novel measurements on the performance and energy...
Go to contribution page -
Prof. Vilasís-Cardona, Xavier (La Salle URL)PosterPoster
Starting this year, the upgraded LHCb detector is collecting data with a pure software trigger. In its first stage, reducing the rate from 30MHz to about 1MHz, GPUs are used to reconstruct and trigger on B and D meson topologies and high-pT objects in the event. In its second stage, a CPU farm is used to reconstruct the full event and perform candidate selections, which are persisted for...
Go to contribution page -
Misa Moreira, Carmen (CERN)PosterPoster
The LHCOPN network, which links CERN to all the WLCG Tier 1s,
Go to contribution page
and the LHCONE network, which connects WLCG Tier1s and Tier2s, have
succesfully provided the necessary bandwidth for the distribution of the data
generated by the LHC experiments during first two runs of the LHC accel-
erator. We give here an overview of the most significant achievements and
the current state of the two... -
Misawa, Shigeki (Brookhaven National Laboratory)PosterPoster
Increases in data volumes are forcing high-energy and nuclear physics experiments to store more frequently accessed data on tape. Extracting the maximum performance from tape drives is critical to make this viable from a data availability and system cost standpoint. The nature of data ingest and retrieval in an experimental physics environment make achieving high access performance difficult...
Go to contribution page -
Currie, Robert (University of Edinburgh)PosterPoster
XRootD servers are commonplace to many parts of HEP data management and are a key component to data access and management strategies in both the WLCG and OSG. Deployments of XRootD instances across the UK have demonstrated the versatility and expandability of this data management software. As we become more reliant on these services, there is a requirement to collect low-level metrics to...
Go to contribution page -
Carnesale, MariaPosterPoster
Track finding in high-density environments is a key challenge for experiments at mod-
Go to contribution page
ern accelerators. In this presentation we describe the performance obtained running
machine learning models studied for the ATLAS Muon High Level Trigger. These mod-
els are designed for hit position reconstruction and track pattern recognition with a
tracking detector, on a commercially available Xilinx... -
Bilodeau, Zoë (Skidmore College)PosterPoster
In experiments with a noble liquid time-projection chamber there are arrays of photosensors positioned to allow for inference of the locations of interactions within the detector. If there is a gap in data left by a broken or saturated photosensor, inference of the position is less precise and less accurate. As it is not practical to repair or replace photosensors once the experiment has...
Go to contribution page -
Fang, WenxingPosterPoster
Jiangmen Underground Neutrino Observatory (JUNO) experiment will start data taking in 2023. It aims to determine the neutrino mass ordering (NMO) with 3 sigma significance within 6 years. To achieve this goal, the backgrounds should be suppressed as much as possible. The cosmic-ray muon is one of the most important backgrounds for NMO study which should be taken carefully. Due to the...
Go to contribution page -
Kahn, AbrahamPosterPoster
The upgrade of the ATLAS Trigger and Data Acquisition system must cope with
Go to contribution page
the high pileup environment of the High-Luminosity Large Hadron Collider (HL-LHC).
The new Event Filter Tracking system is a flexible, heterogeneous commercial system
consisting of CPU cores and possibly accelerators (e.g., FPGAs or GPGPUs) to perform
the compute-intensive Inner Tracker charged particle... -
Jiang, Yi (University of Chinese Academy of Sciences)PosterPoster
TFPWA is a general framework for partial wave analysis developed based on TensorFlow2. Partial wave analysis is a powerful method to determinate the 4-momentum distribution of multi-body decay final states and to extract the interested internal information. Base on a simple topological representation, TF-PWA can deal with most of the processes of partial wave analysis automatically and...
Go to contribution page -
Dr Fornari, Federico (INFN-CNAF)PosterPoster
INFN-CNAF is one of the Worldwide LHC Computing Grid (WLCG) Tier-1 data centers, providing computing, networking and storage resources to a wide variety of scientific collaborations, not limited to the four LHC experiments. The INFN-CNAF data center will move to a new location next year. At the same time, the requirements from our experiments and users are becoming increasingly challenging and...
Go to contribution page -
Ratnikov, Fedor (HSE University)PosterPoster
The compact highly granular time-of-flight neutron detector is designed for the fixed target BM@N experiment at Nuclotron (JINR). This detector is aimed to measure anisotropy of azimuthal neutron flows, that are sensitive to the equation of state of dense nuclear matter. Graph neural network (GNN) method is proposed to reconstruct fast neutrons with energies up to few GeV produced in...
Go to contribution page -
Reuter, Lea (Karlsruhe Institute of Technology)PosterPoster
Decay products of long-lived particles are an important signature in dark sector searches in collider experiments. The current Belle II tracking algorithm is optimized for tracks originating from the interaction point at the cost of a lower track finding efficiency for displaced tracks. This is especially the case for low-momentum displaced tracks that are crucial for dark sector searches in...
Go to contribution page -
Bagnasco, Stefano (Istituto Nazionale di Fisica Nucleare)PosterPoster
Multi-messenger astrophysics provides valuable insights into the properties of the physical Universe. These insights arise from the complementary information carried by photons, gravitational waves, neutrinos and cosmic rays about individual cosmic sources and source populations.
Go to contribution page
When a gravitational wave (GW) candidate is identified by the Ligo, Virgo and Kagra (LVK) observatory network, an... -
Sanchez, Luis (Rice University)PosterPoster
Many data-intensive experiments, need to track large amounts of data, large code bases to process the data, and configuration data (or metadata). All of these datasets have unique requirements for version control. Furthermore, these datasets must have rules and requirements about how they can interact with the code. For this it is crucial to make the storage of data, the metadata in particular...
Go to contribution page -
Salt Cairols, José Francisco (Instituto de Física Corpuscular)PosterPoster
The ATLAS EventIndex is the global catalogue of all ATLAS real and simulated events. During the LHC long shutdown between Run 2 (2015-2018) and Run 3 (2022-2025) its components were substantially revised, and a new system has been deployed for the start of Run 3 in Spring 2022. The new core storage system is based on HBase tables with a Phoenix interface. It allows faster data ingestion rates...
Go to contribution page -
Menéndez Borge, Gonzalo (CERN)PosterPoster
When dealing with benchmarking, result collection and sharing is as essential as the production of the data itself. A central source of information allows for data comparison, visualization, and analysis, which the community both contributes to and profits from.
While this is the case in other fields, in the High Energy Physics (HEP) benchmarking community both script and result sharing...
Go to contribution page -
Fu, Shiyuan (IHEP)PosterPoster
Quantum computing technology is developing rapidly and has attracted increasing attention and interest from governments and institutions around the world. Although in the NISQ era, quantum computing has begun to play a notable role in more and more fields such as logistics scheduling, quantum finance, and quantum chemistry, thanks to its computing power far superior to classical computers. And...
Go to contribution page -
Suehara, Taikan (Kyushu University)PosterPoster
There exist emerging interests for e+e- Higgs factories in the context of FCCee feasibility study in Europe, ILC in Japan, and new proposals (C3, HELEN) at US. As an original developer of a widely-used software package of jet analysis including flavor tagging for e+e- linear collider studies, LCFIPlus (published at NIMA and arXiv:1506.08371), we are now developing DNN-based flavor tagging...
Go to contribution page -
Hess, Bryan (Jefferson Lab)PosterPoster
Jefferson Lab has developed and operated Jasmine, its tape storage system, since 1999. Over the life of the system, design iterations have benefitted from advances in disk and network performance. Now, as large-scale data processing is increasingly performed on distributed infrastructure using community supported software tools, we detail how Jasmine’s software strategy has been refocused....
Go to contribution page -
Dr Pérez-Calero Yzquierdo, Antonio (CIEMAT - PIC)PosterPoster
The computing resource needs of LHC experiments, such as CMS, are expected to continue growing significantly over the next decade, during the Run 3 and especially the HL-LHC era. Additionally, the landscape of available resources will evolve, as HPC (and Cloud) resources will provide a comparable, or even dominant, fraction of the total capacity, in contrast with the current situation,...
Go to contribution page -
Schultz, David (IceCube, University of Wisconsin-Madison), Sfiligoi, IgorPosterPoster
The IceCube Neutrino Observatory is a cubic kilometer neutrino telescope located at the geographic South Pole. Understanding detector systematic effects is a continuous process. This requires the Monte Carlo simulation to be updated periodically to quantify potential changes and improvements in science results with more detailed modeling of the systematic effects. IceCube’s largest systematic...
Go to contribution page -
Schultz, David (IceCube, University of Wisconsin-Madison)PosterPoster
The IceCube Neutrino Observatory is a cubic kilometer neutrino telescope located at the geographic South Pole. IceCube recently completed a multi-year user management migration from a manual LDAP-based process to an automated and integrated system built on Keycloak. A custom interface allows lead scientists to register and edit their institution’s user accounts, including group memberships...
Go to contribution page -
Haslbeck, Florian (University of Oxford, CERN)PosterPoster
The complexity of the ATLAS detector and its infrastructure require an excellent understanding of the interdependencies between the components when identifying points of failure (POF). The ATLAS Technical Coordination Expert System features a graph-based inference engine that identifies a POF provided a list of faulty elements or Detector Safety System (DSS) alarms. However, the current...
Go to contribution page -
Martyniak, Janusz (Imperial College London, UK)PosterPoster
DIRAC is a widely used “framework for distributed computing”. It works by building a layer between the users and the resources offering a common interface to a number of heterogeneous providers. DIRAC, like many other workload management systems, uses pilot jobs to check and configure the worker-node environment before fetching a user payload. The pilot also records a number of different...
Go to contribution page -
Li, Ivy (Rice University)PosterPoster
XENONnT is a dual-phase time projection chamber with a target of 6 tonnes of ultra-pure liquid xenon which aims to search for dark matter via its scattering process. In XENONnT, incoming particles scatter and excite the target xenon atoms, resulting in an initial scintillation signal and an ionization reaction. The freed electrons from the ionization cause a second, larger ionization signal at...
Go to contribution page -
Sinisi, Francesco (INFN-CNAF)PosterPoster
Having a long tradition in state-of-the-art distributed IT technologies, from the first small clusters to Grid and Cloud-based computing, in the last couple of years INFN made available to its users INFN Cloud: an easy to use, distributed, user-centric cloud infrastructure and services portfolio targeted to scientific communities.
Given the distributed nature of the infrastructure, the...
Go to contribution page -
Reme-Ness, Haakon André (Western Norway University of Applied Sciences)PosterPoster
This contribution introduces the job optimizer service for the next-
Go to contribution page
generation ALICE grid middleware, JAliEn (Java Alice Environment).
It is a continuous service running on central machines and is essentially
responsible for splitting jobs into subjobs, to then be distributed and
executed on the ALICE grid. There are several ways of creating subjobs
based on various strategies relevant... -
Michelotto, Diego (INFN)PosterPoster
INFN-CNAF is one of the Worldwide LHC Computing Grid (WLCG) Tier-1 data centers, providing computing, networking and storage resources also to a wide variety of scientific collaborations, ranging from physics to bioinformatics and industrial engineering.
Go to contribution page
Due to the massive adoption of containerised services and the increasing efficiency for application deployment of the recent virtualization... -
Gavalian, Gagik (Jefferson Lab)PosterPoster
With ever increasing data rates in modern physics experiments there is a need to
Go to contribution page
partially analyze incoming data real time. Increasing data volumes create a need
to filter data to write out only events that are useful for physics analysis.
In this work we present a Level-3 trigger developed using Artificial Intelligence
to select electron trigger events at data acquisition level.... -
Qi, Binbin (University of Science and technology of China)PosterPoster
The Super Tau-Charm Facility (STCF) is a future electron-positron collider proposed in China. It has a peak luminosity of above $0.5×10^{35}$ $cm^{-2}s^{-1}$ and center-of-mass energy ranging from 2 to 7 GeV. A time-of-flight detector based on detection of internally reflected Cherenkov light (DTOF), is proposed for the endcap particle identification (PID) at the STCF. In this contribution, we...
Go to contribution page -
Dubey, Shawn (University of Hawaii at Manoa)PosterPoster
In this work, we report the status of a neural network regression model trained to extract new physics (NP) parameters in Monte Carlo (MC) data. We utilize a new EvtGen NP MC generator to generate $B \rightarrow K^{*} \ell^{+} \ell^{-}$ events according to the deviation of the Wilson Coefficient $C_{9}$ from its SM value, $\delta C_{9}$. We train a convolutional neural network regression...
Go to contribution page -
Pardi, Silvio (INFN)PosterPoster
The usage of WebDAV protocol has become more and more popular within the physics experiments using grid middleware in the last decade, and today it represents a valid alternative to the GridFTP currently supported at best-effort level after the retirement of Globus Toolkit.
Go to contribution page
Belle II experiment established the adoption of WebDAV protocol as the main protocol for data access and... -
Mr Niewenhuis, Dante (University of Amsterdam)PosterPoster
ROOT RNTuple I/O subsystem has been designed to address performance bottlenecks and shortcomings of ROOT's current state of the art TTree I/O subsystem. RNTuple provides a backwards-incompatible redesign of the TTree binary format and API that evolves the ROOT event data I/O for the challenges of the upcoming decades. It has been engineered for high-performance on modern storage hardware, a...
Go to contribution page -
Wiebalck, Arne (CERN)PosterPoster
More than 500 servers are actively managed by the Windows Infrastructure team on the CERN site. They run critical services for the laboratory, from controlling some of the accelerator systems to directory services, storage and databases. Having at all times visibility on their state is critical for a smooth operation of their services. This presentation will describe the implementation of an...
Go to contribution page -
Israel, Scott (Boston University)PosterPoster
The Mu2e experiment will search for the neutrino-less conversion of muons to electrons in muonic aluminum. The Mu2e tracker detector measures the momentum of signal and background particles traveling down the beamline. One major background source is the $\mu\rightarrow e \bar{\nu} \nu$ decay of muons in orbit (DIO) process. Due to resolution and algorithm errors during reconstruction, these...
Go to contribution page -
Ratnikov, Fedor (HSE University)PosterPoster
SHiP (Search for Hidden Particles) and the associated CERN SPS Beam Dump Facility is a new general-purpose experiment proposed at the SPS to search for "hidden" particles which are predicted by many recently elaborated models of Hidden Sector of the Standard Model. The experiment searches for very weakly interacting long-lived particles and crucially depends on effective background...
Go to contribution page -
Hrivnac, Julius (IJCLab)PosterPoster
Particle Physics experiments and Astronomy telescopes store a large amount of data, most of those data are usually stored in simple files in various format. Databases are used only to a limited extend, while database technology has made a tremendous progress in recent years, offering a large spectrum of applications in all possible domains. Those possibilities are still largely...
Go to contribution page -
Zhai, Yuncong (Shandong University)PosterPoster
Particle identification (PID) is one of the mostly commonly used tools for the physics analysis in collider physics experiments. To achieve good PID performance, information given by multiple sub-detectors are usually combined. This is in particular necessary for the discrimination of charged particles that have close masses (e.g. muon and pion). However, due to the intrinsic correlations...
Go to contribution page -
Roy, Avik (University of Illinois at Urbana-Champaign)PosterPoster
Reweighting Monte Carlo (MC) events for alternate benchmarks of beyond standard model (BSM) physics is an effective way to reduce the computational cost of physics searches. However, applicability of reweighting is often constrained by technical limitations. We demonstrate how pre-trained neural networks can be used to obtain fast and reliable reweighting without relying on the full MC...
Go to contribution page -
Liu, Zhenping (Brookhaven National Laboratory)PosterPoster
dCache at BNL has been in production for almost two decades. For years, dCache used the default driver included with the dCache software to interface with HPSS tape storage systems. Due to the synchronous nature of this approach and the high resource demands resulting from periodic script invocations, scalability was significantly limited. During the WLCG tape challenges, bottlenecks in dCache...
Go to contribution page -
Jones, Ben (CERN)PosterPoster
CERN has been providing central Windows remote desktops via the Windows Terminal Infrastructure service for a number of years, and aims to provide a similar experience for Linux graphical environments. Different communities and experiments offer a series of tools to their users with this goal in mind, but the solutions are far from ideal and generate a support overhead for their respective...
Go to contribution page -
370. Non-Invasive HVCM Capacitance Predictions using Uncertainty-Aware Convolutional Neural NetworksGoldenberg, Steven (Thomas Jefferson National Accelerator Facility)PosterPoster
Particle accelerators, such as the Spallation Neutron Source (SNS), require high beam availability in order to maximize scientific discovery. Recently, researchers have made significant progress utilizing machine learning (ML) models to identify anomalies, prevent damage, reduce beam loss, and tune accelerator parameters in real time. In this work, we study the use of uncertainty aware...
Go to contribution page -
Caffy, Cédric (CERN)PosterPoster
The CERN IT Storage group operates multiple distributed storage systems to support all CERN data storage requirements. The storage and distribution of physics data generated by LHC and non-LHC experiments is one of the biggest challenges the group has to take on during LHC Run-3.
EOS, the CERN distributed disk storage system is playing a key role in LHC data-taking. During the first ten...
Go to contribution page -
Mohamed, Abdulla (University of Bahrain)PosterPoster
During the long shutdown prior to LHC Run 3, the CMS reconstruction software (CMSSW) was upgraded to offload 40% of the High Level Trigger (HLT) processing to GPUs. This upgrade accelerated the reconstruction algorithms and improved the efficiency of the HLT farm, however it introduced new parameters to the system that had to be selected carefully to maximise performance. When offloading...
Go to contribution page -
Girone, Maria (CERN)PosterPoster
In the European Center of Excellence in Exascale Computing "Research on AI- and Simulation-Based Engineering at Exascale" (CoE RAISE), researchers from science and industry develop novel, scalable Artificial Intelligence technologies towards Exascale. In this work, we leverage European High Performance Computing (HPC) and Quantum Computing resources to perform large-scale hyperparameter...
Go to contribution page -
QIAN, Sen (IHEP，CAS)PosterPoster
In recent years, some materials from the elpasolite crystal family have been under development for either or both gamma ray and neutron detection. These include Cs2LiYCl6 (CLYC) and Cs2LiLaBr6 (CLLB). Since these crystals have different luminescence decay times under neutron and gamma irradiation. The pulse shape discrimination (PSD) is widely used to discriminate between neutron and gamma...
Go to contribution page -
Mohammad Atif, FNU (Brookhaven National Laboratory)PosterPoster
OpenMP is a directive based shared-memory parallel programming model traditionally used for multicore CPUs. In its recent versions, OpenMP was extended to enable GPU computing via its “target
offloading” model. The architecture agnostic compiler directives can in principle offload to multiple types of GPUs and FPGAs, and its compiler support is under active development.In this work, we...
Go to contribution page -
Tsulaia, Vakho (LBNL)PosterPoster
std::execution::parallel (often shortened to std::par) is a method of executing algorithms in parallel that was introduced in the C++17 standard. It defines a number of execution policies that
Go to contribution page
target various levels of parallelization using threads and vectorization. While originally designed for CPUs, backends that can execute on GPUs have recently been introduced by NVIDIA and Intel. Unlike... -
Cheng, Yaosong (Institute of High Energy Physics Chinese Academy of Sciences)PosterPoster
The Wide Field-of-view Cerenkov Telescope Array (WFCTA) is an important component of Large High Altitude Air Shower Observatory (LHAASO), which aims to measure the individual energy spectra of cosmic rays from ~30 TeV to a couple of EeV. Since the experiment started running in 2020, WFCTA simulation jobs have been running on the Intel X86 cluster last year and only 25% of the first stage...
Go to contribution page -
McKee, Shawn (University of Michigan Physics)PosterPoster
During the first WLCG Network Data Challenge in fall of 2021 some shortcomings in the monitoring that impeded the ability to fully understand the results collected during the data challenge were identified. One of the simplest missing components was site specific network information, especially information about traffic going into and out of any of the participating sites. Without this...
Go to contribution page -
Hoffmann, FelixPosterPoster
The High Luminosity LHC era at CERN will require Monte Carlo simulations to be at an even higher level of accuracy in order for them be suited for tasks such as background subtraction and filtering of rare events. In order to be able to keep up with the required amount of computing power, volunteer computing approaches can be used to complement existing Grid infrastructure.
Go to contribution page
In order to... -
Rybkin, Grigori (IJCLab Saclay)PosterPoster
The ATLAS EventIndex system consists of the catalogue of all events collected, processed or generated by the ATLAS experiment at the CERN LHC accelerator, and all associated software tools. The new system, developed for LHC Run 3, makes use of Apache HBase - the Hadoop database - and Apache Phoenix - an SQL/relational database layer for HBase - to store and access all the event metadata. The...
Go to contribution page -
Parschau, MircoPosterPoster
The hight interaction rate, fixed target experiment HADES at GSI, lo-
Go to contribution page
cated in Darmstadt, Germany, investigates collisions of heavy-ion, proton
and secondary pion beams with a target material. Hyperons are one of the
key observables for both heavy-ion and elementary collisions. The
challenge is to detect displaced vertices with good accuracy without hav-
ing a dedicated vertex detector,... -
Delgado-Mengual, Jordi (PIC - Port d'Informació Científica (IFAE/CIEMAT))PosterPoster
Since 2009 Port d’Informació Científica (PIC), in Barcelona, has hosted the Major Atmospheric Gamma Imaging Cherenkov (MAGIC) Data Center. At the Observatorio del Roque de Los Muchachos (ORM) in the Canary Island of La Palma (Spain), data produced from observations by the 17m diameter MAGIC telescopes are transferred to PIC on a daily basis. More than 200 TB per year are being transferred to...
Go to contribution page -
Fu, Shiyuan (IHEP)PosterPoster
With the computing power far superior to classical computers, quantum computing has attracted increasing attention and interest all over the world. Many prototypes are constructed like IBM Osprey, USTC Jiuzhang 2.0 to demonstrate the advantage of quantum computing, and corresponding developing SDKs are proposed to make the utmost of these devices.
Qiskit is one of the most popular quantum...
Go to contribution page -
Heinrich, Lukas (Max-Planck-Institut f\"ur Physik)PosterPoster
In this paper we describe the development of a streamlined framework for large-scale ATLAS pMSSM reinterpretations of LHC Run 2 analyses using containerised computational workflows. The project is looking to assess the global coverage of BSM physics and requires running O(5k) computational workflows representing pMSSM model points. Following ATLAS Analysis Preservation policies, many analyses...
Go to contribution page -
Bhat, PreetiPosterPoster
The efficiency of high energy physics workflows relies on the ability to rapidly transfer data among the sites where the data is processed and analysed. The best data transfer tools should provide a simple and reliable solution for local, regional, national and in some cases intercontinental data transfers. This work outlines the results of data transfer tool tests using internal and external...
Go to contribution page -
Dr Couet, Olivier (CERN)PosterPoster
ROOT's users can produce the plots they want and tune them all the way they need to be ready for publication. This tuning can be quite invasive in a ROOT macro and represent a fair amount of code. The good practice is to have these personnel tunings in a dedicated macro or in a special style. That's what experienced users are doing and they get the nice results they want. New ROOT users or...
Go to contribution page -
Aguado Corman, Asier (CERN)PosterPoster
Researchers are now well accustomed to the convenience of Single Sign-On for their web applications. A significant proportion of researchers' and laboratory staff's daily work, however, is not performed on the web today - to support these workflows we must go beyond the well understood web flows for SAML and OAuth2 and find ways to provision tokens on the command line. This paper will showcase...
Go to contribution page -
Van Buren, Gene (Brookhaven National Laboratory)PosterPoster
Cutting edge research has driven scientists in many fields into the world of big data. While data storage technologies continue to evolve, the costs remain high for rapid data access on such scales and are a major factor in planning and operations. As a joint effort spanning experiment scientists, developers for ROOT, and industrial leaders in data compression, we sought to address this...
Go to contribution page -
Bauer, Daniela (Imperial College London)PosterPoster
DIRAC is a widely used "framework for distributed computing". It works by providing a layer between users and computing resources by offering a common interface to a number of heterogeneous resource providers. DIRAC originally provided support for dynamic workload management on a cloud via its VMDIRAC extension. When the VMDIRAC extension was envisaged, it was common to use commercial clouds...
Go to contribution page -
Ms Cheema, Priyanka (University of Sydney)PosterPoster
The Belle II experiment situated at the SuperKEKB energy-asymmetric $e^+e^-$ collider began operation in 2019. It has since recorded half of the data collected by its predecessor, and reached a world record instantaneous luminosity of $4.7\times 10^{34}$ cm$^{-2}$s$^{-1}$. For distinguishing decays with missing energy from background events at Belle II, the residual calorimeter energy measured...
Go to contribution page -
Walker, Rodney (Ludwig-Maximilians-Universitaet Muenchen)PosterPoster
The European energy crisis during 2022 prompted many computing facilities to take urgent electricity saving measures. In part voluntary, in response to EU and national appeals, but also to keep within a flat energy budget, as the electricity price rose. We review some of these measures and, as the situation normalises, take a longer view on how the flexibility of high throughput computing can...
Go to contribution page -
Sfiligoi, IgorPosterPoster
The x86_64 instruction set architecture, is not a single, consistent, compatible interface to execute computer programs. Since the initial release in 1999, every new generation has added new instructions, some of which were later removed. Most of these new instructions are intended to improve the performance of those programs which explicitly take advantage of them. However, running such a...
Go to contribution page -
Mrnjavac, Teo (CERN)PosterPoster
The ALICE Experiment at CERN's Large Hadron Collider (LHC) has undergone a major upgrade during LHC Long Shutdown 2 in 2019-2021, which includes a new computing system called O² (Online-Offline). To ensure the efficient operation of the upgraded experiment and of its newly designed computing system, a reliable, high performance, full-featured experiment control system has also been developed...
Go to contribution page -
De Souza Pereira, Jomar Junior (Federal University of Rio de Janeiro, COPPE/EE/IF, Brazil)PosterPoster
With over 2000 active members from 174 institutes over 41 countries in the world, the ALICE experiment is one of the 4 large experiments at CERN. With such numerous interactions, the experiment management needs a way to record members participation history and their current status, such as employments, institutes, appointments, clusters and funding agencies, as well as to automatically...
Go to contribution page -
Pacheco Pages, Andreu (IFAE Barcelona (ES))PosterPoster
The ATLAS experiment has 18+ years of experience using workload management systems to deploy and develop workflows to process and to simulate data on the distributed computing infrastructure. Simulation, processing and analysis of LHC experiment data require the coordinated work of heterogeneous computing resources. In particular, the ATLAS experiment utilizes the resources of 250 computing...
Go to contribution page -
Mr Litvintsev, Dmitry (Fermilab)PosterPoster
Over the past several years, the dCache collaboration has been working on developing a feature-rich, efficient and scalable data lifecycle and QoS service. With the ever-increasing volume of data anticipated by the LHC and Intensity Frontier experiments, their reliance on tape storage and the limited amount of disk cache available to them, this effort to provide for efficient staging of large...
Go to contribution page -
Leduc, Julien (CERN)PosterPoster
The EOSCTA service is CERN physics data archival storage infrastructure for Run 3. It entered production at CERN during summer 2020 and has been serving all the LHC and non-LHC data tape workflows. It is a complete redesign of the tape software, tape cache and tape workflows designed for Run 3 rates that introduces scalability changes targeting Run4. It already set a new record of monthly...
Go to contribution page -
Fanzago, FedericaPosterPoster
CloudVeneto is a private cloud targeted to scientific communities based on OpenStack software. It was designed in 2013 and put in operation one year later, to support INFN projects, mainly HEP ones. Its resources are physically distributed among two sites: the Physics Department of University of Padova-INFN Padova Unit and the INFN Legnaro National Laboratories. During these 10 years...
Go to contribution page -
Litvintsev, Dmitry (Fermilab)PosterPoster
dCache (https://dcache.org) is a highly scalable storage system providing location-independent access to data. The data are stored across multiple data servers as complete files presented to the end-user via a single-rooted namespace. From its inception, dCache has been designed as a caching disk buffer to a tertiary tape storage system with the assumption that the latter has virtually...
Go to contribution page -
161. TileCalibWeb Robot tool for ATLAS Calorimeter conditions and calibration data handling in Run 3Smirnov, Yuri (NIU)PosterPoster
Every sub-detector in the ATLAS experiment at the LHC, including ATLAS
Go to contribution page
Calorimeter, writes conditions and calibration data into an ORACLE
Database (DB). In order to provide an interface for reliable interactions
both with the Conditions Online and Offline DBs a unique semiautomatic
web based application, TileCalibWeb Robot, has been developed. TileCalibWeb is being used in LHC Run 3 by... -
Dr Mei, Xinxin (Jefferson Lab)PosterPoster
The development of modern heterogeneous accelerators, such as GPUs, has boosted the prosperity of artificial intelligence (AI). Recent years have seen an increasing popularity of AI for the nuclear physics (AI4NP) domain. While most AI4NP studies focus on feasibility analysis, we target at their performance on the modern GPUs equipped with Tensor Cores.
We first benchmark the throughput...
Go to contribution page -
Gavalian, Gagik (Jefferson Lab)PosterPoster
This work shows the implementation of Artificial Intelligence models in track reconstruction
Go to contribution page
software for the CLAS12 detector at Jefferson Lab. The Artificial Intelligence-based approach resulted
in improved track reconstruction efficiency in high luminosity experimental conditions. The track
reconstruction efficiency increased by $10-12\%$ for a single particle, and statistics in... -
Lavizzari, Giulia (INFN and University of Milano-Bicocca)PosterPoster
new methodology to improve the sensitivity to new physics contributions to the Standard Model processes at LHC is presented.
A Variational AutoEncoder trained on Standard Model processes is used to identify Effective Field Theory contributions as anomalies. While the output of the model is supposed to be very similar to the inputs for Standard Model events, it is expected to deviate...
Go to contribution page -
JIANG, XiaoweiPosterPoster
The token-based certification method is spreading in the distributed computing system of high energy physics. More and more software and middleware are supporting token as one of certification methods. As an example, WLCG has upgraded all the services to supporting WLCG token. In IHEP(Institute of High Energy Physics in China), the Kerberos token has been used as the main certification method...
Go to contribution page -
Rinaldi, LorenzoPosterPoster
The GRID computing paradigms adopted by the main HEP experiments is based on the distribution of experimental data on computer resources located all over the world. In general, the data distribution operation is managed centrally by services, such as the CERN File Transfer Service (FTS), which interact with the local Storage Elements. While performing bulk data transfers at such large scale,...
Go to contribution page -
Dr Odier, Jérôme (CNRS/LPSC), Lambert, Fabian (CNRS/LPSC)PosterPoster
ATLAS Metadata Interface (AMI) is a generic ecosystem for metadata aggregation, transformation and cataloging. Benefiting from more than 20 years of feedback in the LHC context, the second major version was released in 2018. Each sub-system of the stack has recently be improved in order to acquire messaging/telemetry capabilities. This poster describes the whole stack monitoring with the...
Go to contribution page -
Gartung, Patrick (Fermilab)PosterPoster
The CMS experiment has been utilizing vectorization, or SIMD, in parts of its data processing applications for over a decade. On x86 platforms the vectorization level is still SSE3. In the past attempts to use wider vector instruction sets such as AVX or AVX-512 have, in practice, not resulted in improvements in the overall event processing throughput, because the CPUs scale down their...
Go to contribution page -
Yoo, ChanghyunPosterPoster
The JSNS$^2$ (J-PARC Sterile Neutrino Search at the J-PARC Spallation Neutron Source) experiment searches for neutrino oscillations at 24m baseline from the J-PARC’s 3 GeV 1 MW proton beam incident on a mercury target at the Materials and Life science experimental Facility (MLF). The JSNS$^2$ detector consists of three cylindrical layers including an inner most neutrino target, an intermediate...
Go to contribution page -
Eich, Niclas (RWTH Aachen University)PosterPoster
VISPA (VISual Physics Analysis) realizes a scientific cloud enabling modern scientific data analysis in a web browser. Our local VISPA instance is backed by a small institute cluster and is dedicated to fundamental research and university education. By hardware upgrades (732 CPU threads, 29 workstation GPUs), we have tailored the cloud services to accomplish both, rapid turn-around when...
Go to contribution page -
Ratnikov, Fedor (HSE University)PosterPoster
Particle identification at the Super Charm-Tau factory experiment will be provided by a Focusing multilayer Aerogel Ring Imaging CHerenkov detector FARICH. Due to hardware constraints the detector captures a great amount of noise which must be mitigated to reduce both a data flow and further storage space.
In this presentation we present our approach to filtering signal hits. The approach...
Go to contribution page -
Hoeft, Bruno (Karlsruhe Institute of Technology (KIT))PosterPoster
The Worldwide Large Hadron Collider Computing Grid (WLCG) actively pursues the migration from the protocol IPv4 to IPv6. For this purpose, the HEPiX-IPv6 working group was founded during the fall HEPiX Conference in 2010. One of the first goals was to categorize the applications running in the WLCG into different groups: the first group was easy to define, because it comprised of all...
Go to contribution page -
Mr Caffy, Cedric (CERN)PosterPoster
During the LHC era the XRootD framework has proven to be a critical component of numerous data management and software defined storage solutions (most importantly EOS, the CERN storage technology used for the LHC experiments), and as such grew into one of the most strategic storage technologies in the High Energy Physics (HEP) community. Over the last year significant developments in the area...
Go to contribution page -
Ding, BiaoPosterPoster
The Beijing Spectrometer (BESIII) is a detector for hadron and tau-charm physics studies. It’s located at the Beijing Electron Positron Collider (BEPCII), which runs at center-of-mass energy 2.0-5.0GeV. Zc(3900) was firstly discovered by BESIII collaboration in 2013. This exotic resonance structure is considered to be a tetra-quark state, which scientists have been looking for a long time. In...
Go to contribution page