Présentations

Les membres d'ATLAS France font régulièrement des présentations de leurs travaux.

Physique et détecteurs

La plupart des présentations effectuées en conférences sont accessibles sur le site suivant géré par la collaboration ATLAS.

Software & Computing

2024

  • New approaches for fast and efficient graph construction on CPU, GPU and heterogeneous architectures for the ATLAS event reconstruction, C. Collard (L2IT), poster, 27th International Conference on computing in high energy & nuclear physics (CHEP 2024), Cracow (Poland), Oct 2024
  • Ranking-based machine learning for track seed selection in ACTS, C. Allaire; D. Rousseau, F. Bouvet, H. B. Grasland (IJCLab), slides, 27th International Conference on computing in high energy & nuclear physics (CHEP 2024), Cracow (Poland), Oct 2024
  • Improving Computational Performance of ATLAS GNN Track Reconstruction Pipeline, A. Vallier, C. Collard, H. Torres, J. Stark, S. Caillou (L2IT) et al., slides, 27th International Conference on computing in high energy & nuclear physics (CHEP 2024), Cracow (Poland), Oct 2024
  • High Performance Graph Segmentation for ATLAS GNN Track Reconstruction, A. Vallier (L2IT) et al., slides, 27th International Conference on computing in high energy & nuclear physics (CHEP 2024), Cracow (Poland), Oct 2024
  • Efficient metadata management with the AMI ecosystem, F. Lambert, J. Fulachier, J. Odier, P-A. Delsart (LPSC), slides, 27th International Conference on computing in high energy & nuclear physics (CHEP 2024), Cracow (Poland), Oct 2024
  • Looking back on 23 years of the ATLAS Metadata Interface (AMI): Reflections on database architecture and ongoing developments in preparation for Run 4, F. Lambert, J. Fulachier, J. Odier, P-A. Delsart (LPSC), poster, 27th International Conference on computing in high energy & nuclear physics (CHEP 2024), Cracow (Poland), Oct 2024
  • Energy-efficient graph-based algorithm for tracking at the HL-LHC, H. Torres (L2IT), slides, 27th International Conference on computing in high energy & nuclear physics (CHEP 2024), Cracow (Poland), Oct 2024
  • A Lightweight Algorithm for Modelling Radiation Damage effects in the MC events for HL-LHC experiments, M. Bomben (APC), N. Nakkalil (APC), slides, TREDI 2024, Torino (Italy), Feb. 2024

2023

  • Machine ambiguity for resolution in ACTS, C. Allaire (IJCLab), slides, 26th International Conference on computing in high energy & nuclear physics (CHEP 2023), Norfolk (USA), May 2023
  • Multilanguage Frameworks, J. Hrivnac (IJCLab), slides, 26th International Conference on computing in high energy & nuclear physics (CHEP 2023), Norfolk (USA), May 2023
  • Novel fully-heterogeneous GNN designs for track reconstruction at the HL-LHC, slides, S. Caillou (L2IT), 26th International Conference on computing in high energy & nuclear physics (CHEP 2023), Norfolk (USA), May 2023
  • Including radiation damage effects in ATLAS MonteCarlo simulations: status and perspectives, M. Bomben (APC), slides, European Physical Society Conference on High Energy Physics (EPS-HEP 2024), DESY-Hamburg, Aug 2023
  • Including radiation damage effects to silicon sensors in LHC experiments MonteCarlo simulations: status and perspectives, M. Bomben (APC), slides, CERN seminar, Feb. 2023

2022

  • Optimisation automatique de la cartographie des materiaux pour Acts, C. Allaire (IJCLab), slides, 14ème Journées Informatiques IN2P3/IRFU, November 2022
  • Machine Learning in ACTS, C. Allaire (IJCLab), slides, AI4EIC workshop, Williamsburg VA USA, October 2022
  • Auto-tuning of the Acts material mapping with Orion, C. Allaire (IJCLab), slides, ACTS Developers Workshop, CERN, September 2022
  • Boosting event generation and inference with new machine learning methods, A. Butter (LPNHE), slides, IN2P3/IRFU ML workshop, APC Paris, septembre 2022
  • Enhanced GNN models for track reconstruction with ATLAS ITk, S. Caillou (L2IT), slides, IN2P3/IRFU ML workshop, APC Paris, septembre 2022
  • GNN for hadronic flow calibration in ATLAS, Ana Paula Pereira Peixoto (LPSC), slides, IN2P3/IRFU ML workshop, APC Paris, septembre 2022
  • Auto-tuning of the material mapping with the ACTS track reconstruction suite, C. Allaire (IJCLab), slides, IN2P3/IRFU ML workshop, APC Paris, septembre 2022

2021

  • Comparing SyCL data transfer strategies for tracking use cases, S. Joube (IJCLab), poster, ACAT 2021, Virtual and IBS Science Culture Center, Daejeon, South Korea, 28 novembre-3 décembre 2021
  • Comment la future phase de haute luminosité du collisionneur LHC du CERN, qui doit permettre l'étude des interactions du boson de Higgs, bouscule notre façon de calculer, C. Biscarat, S. Caillou (L2IT), séminaire de la SFP Midi-Pyrénées (présentiel), 29 octobre 2021
  • Graph Neural Network pour la reconstruction de traces dans le détecteur ATLAS, S. Caillou (L2IT), Journée informatique IRFU-IN2P3 2021 (présentiel), 15-17 novembre 2021
  • A proposal for Open Access data and tools multi-user deployment using ATLAS Open Data for Education, A. Sanchez Pineda (LAPP), 25th International Conference on Computing in High-Energy and Nuclear Physics, vCHEP 2021, mai 2021
  • Artificial Neural Networks on FPGAs for Real-Time Energy Reconstruction of the ATLAS LAr Calorimeters, T. Calvet (CPPM), 25th International Conference on Computing in High-Energy and Nuclear Physics, vCHEP 2021, mai 2021
  • Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC, C. Rougier (L2IT), 25th International Conference on Computing in High-Energy and Nuclear Physics, vCHEP 2021, mai 2021
  • pyBumpHunter : bump hunting in python, Louis Vaslin (LPC), Poster, Top LHC France 2021, mai 2021
  • Recent progresses in using Artificial Intelligence for Particle Physics, D. Rousseau (IJCLab), Invited talk, [American Physical Society April Meeting)(http://meetings.aps.org/Meeting/APR21/Session/H01), Data Science and Machine Learning in Particle and Astrophysics session, virtual, April 2021
  • Fitting a spectrum with ML, S. Calvet (LPC), Talk, IN2P3/IRFU ML 2021, mars 2021
  • Auto-Encoder based algorithms for anomaly detection, Ioan Dinu & Louis Vaslin (LPC), Talk, IN2P3/IRFU ML 2021, mars 2021
  • Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC, S. Caillou (L2IT), IN2P3/IRFU ML workshop, 16-17 mars 2021

2020

  • D. Rousseau (IJCLab), Using an Optical Processing Unit for tracking and calorimetry at the Large Hadron Collider, Fast Machine Learning for Science Workshop, SMU, Dallas (virtual), Dec 2020
  • D. Rousseau (IJCLab), Using an Optical Processing Unit for tracking and calorimetry at the Large Hadron Collider, CERN Interexperiment Machine Learning Workshop, Oct 2020
  • S. Calvet (LPC), Denoising a data spectrum, Talk, IN2P3/IRFU ML 2020, janvier 2020
  • J. Donini (LPC), Search for New Physics using semi-supervised ML techniques, Talk, IN2P3/IRFU ML 2020, janvier 2020

2019

  • D. Rousseau (LAL), Organising scientific data challenges, Institut Pascal Workshop on Advanced Pattern Recognition, 14-25 Oct 2019
  • F. Derue (LPNHE), Status and prospects of ATLAS (FR Cloud) computing, International Conference on Advanced Scientific Computing (ICASC 2019), Sinaia, Romania, September 2019
  • A. Ghosh (LAL), Deep generative models for fast shower simulation in ATLAS, 3rd IML Machine Learning Workshop (IML 2019), CERN, April 2019
  • F. Derue (LPNHE), Usage of GPU for the ATLAS experiment, Workshop on GPU at CC-IN2P3 2019, Lyon, France, April 2019
  • A. Ghosh (LAL), Deep generative models for fast shower simulation in ATLAS, 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2019), Saas-Fee, Switzerland, March 2019
  • W. Spolidoro Freund (LPNHE, Universidade Federal do Rio De Janeiro, COPPE/EE/IF), An Ensemble of Neural Networks for Online Electron Filtering at the ATLAS Experiment (Poster), 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2019), Saas-Fee, Switzerland, March 2019
  • D. Rousseau (LAL), Advances in Machine Learning in High Energy Physics, Artificial intelligence and physics, Institut Pascal, LAL, Orsay, March 2019
  • D. Rousseau (LAL), Novel data analysis techniques, plenary talk, European Physical Society Conference on High Energy Physics 2019, Ghent, July 2019

2018

  • D. Rousseau (LAL), A panorama of ML in particle physics, Institut Lagrange de Paris (ILP) Day on Machine Learning, Institut Henri Poincaré, Paris, November 2018
  • W. Spolidoro Freund (LPNHE, Universidade Federal do Rio De Janeiro, COPPE/EE/IF), ML for calorimetric reconstruction in ATLAS, Institut Lagrange de Paris (ILP) Day on Machine Learning, Institut Henri Poincaré, Paris, November 2018
  • D. Rousseau (LAL), Machine Learning in HEP : GAN, TrackML and more, CERN/SKA workshop, Alan Turing Institute, London 17th Sep 2018
  • F. Lambert (LPSC), Broadcasting dynamic metadata content to external web pages using AMI embeddable components (Poster), 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018), Sofia, Bulgaria, July 2018
  • J. Odier (LPSC), The AMI (ATLAS Metadata Interface) 2.0 metadata ecosystem: new design principles and features, 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018), Sofia, Bulgaria, July 2018
  • C. Adam-Bourdarios (LAL), Virtual Reality and game engines for interactive data visualisation and event displays in HEP: an example from the ATLAS experiment, 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018), Sofia, Bulgaria, July 2018
  • D. Rousseau (LAL), Advances in Machine Learning for HEP, plenary talk, Conference on High Energy Physics (CHEP 2018), Sofia, July 2018
  • Hadrien Grasland, François Févotte, Bruno Lathuilière and David Chamont (LAL), Floating-point profiling of ACTS using Verrou, (CHEP 2018), Sofia, Bulgaria, July 2018, presentation, proceedings
  • D. Rousseau (LAL), Advances in Machine Learning in High Energy Physics : Deep Learning, GAN and more, AGATA/GRETINA tracking arrays meeting, 4-6 April 2018, Orsay
  • A. Ghosh (LAL), Simulating electromagnetic showers in ATLAS calorimeter with Generative Adversarial Network, IN2P3 Machine Learning Workshop, CC-IN2P3, March 2018
  • D. Rousseau (LAL), TrackML? : Tracking Machine Learning challenge, Seminar LRI, Orsay, March 2018
  • D. Rousseau (LAL), TrackML? : Tracking Machine Learning challenge, EP-IT Data science seminars, CERN, March 2018

2017

  • D. Rousseau (LAL), Advances in Machine Learning tools in High Energy Physics, Seminar IPHC, Strasbourg, October 2017
  • J. Hrivnac (LAL), Deep generative models for fast shower simulation in ATLAS, 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2017), Seattle, USA, August 2017
  • D. Rousseau (LAL), LHC experiments : Petabytes to papers, LSST school and workshop : getting ready to do science with LSST data, Lyon, 15 juin 2017

2016

  • F. Lambert (LPSC), Deploying ATLAS Metadata Interface (AMI) on the cloud with Jenkins (Poster), 22nd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2016), San Francisco, USA, October 2016
  • J. Fulachier (LPSC), ATLAS Metadata Interface (AMI), a generic metadata framework (Poster), 22nd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2016), San Francisco, USA, October 2016
  • G. Rybkin (LAL), First use of LHC Run 3 Conditions Database infrastructure for auxiliary data files in ATLAS (Poster), 22nd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2016), San Francisco, USA, October 2016
  • D. Rousseau (LAL), Advances in Machine Learning tools in High Energy Physics, Seminar IRFU, Saclay, May 2016
  • D. Rousseau (LAL), Advances in Machine Learning tools in High Energy Physics, Seminar LPNHE, Paris, June 2016
  • C. Adam-Bourdarios (LAL), Involving the public into HEP through IT challenges and projects, International Symposium on Grids and Clouds 2016, Taipei, Taiwan, March 2016

2015

  • A. Formica (IRFU), Designing a future Conditions Database based on LHC experience, 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, Japan, April 2015
  • J. Hrvinac (LAL), QuerySpaces? on Hadoop for the ATLAS EventIndex? (Poster), 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, Japan, April 2015
  • J. Odier (LPSC), The migration of the ATLAS Metadata Interface (AMI) to Web 2.0 (Poster), 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP 2015), Okinawa, Japan, April 2015

2014

2013

  • A. Formica (IRFU), A J2EE based server for Muon Spectrometer Alignment monitoring in ATLAS detector, 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013), Amsterdam, Nederlands, October 2013
  • G. Rybkin (LAL), ATLAS software configuration and build tool optimisation (Poster), 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013), Amsterdam, Nederlands, October 2013
  • J. Fulachier (LPSC), Looking back on 10 years of the ATLAS Metadata Interface. Reflections on architecture, code design and development methods, 20th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2013), Amsterdam, Nederlands, October 2013

2012

  • S. Jézéquel (LAPP), ATLAS Distributed Computing Operations: Experience and improvements after 2 full years of data-taking, 19th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2012), New York, USA, May 2012
  • G. Rybkin (LAL), ATLAS software packaging (Poster), 19th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2012), New York, USA, May 2012

2010

  • J. Hrvinac (LAL), ATLAS Tags Web Service calls Athena via Athenaeum Framework (Poster), 18th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2010), Taipei, Taiwan, October 2010
  • I. Vukotic (LAL), Optimization and Performance Measurements of ROOT-based Data Formats in the ATLAS Experiment, 18th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2010), Taipei, Taiwan, October 2010

2009

  • B. Lenzi (IRFU), ATLAS Physics Analysis Tools, Computing in Experimental High Energy Physics Symposium (CCMSE), Rhodes, Greece, September 2009
  • S. Binet (LAL), Harnessing multicores: strategies and implementations in ATLAS, 17th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2009), Prague, Czech Republic, March 2009