S'authentifier

IN2P3/IRFU Machine Learning workshop 2024

20–22 nov. 2024
IPHC, Strasbourg
Fuseau horaire Europe/Paris

Organisers

Session

Wednesday afternoon

20 nov. 2024, 14:00
Amphi Grïnewald (IPHC, Strasbourg)

Amphi Grïnewald

IPHC, Strasbourg

Batiment 27, BP28, 67037 Cedex 2, 23 Rue du Loess, 67200 Strasbourg

Présidents de session

Wednesday afternoon

  • Valérie Gautard (CEA-Irfu)

Documents de présentation

Aucun document.

  1. 130. Welcome
    20/11/2024 14:00
  2. 123. The development of innovative methods for fission trigger construction
    Brigitte PERTILLE RITTER (IJCLab - Université Paris-Saclay)
    20/11/2024 14:15
    Object detection and reconstruction

    The development of innovative methods for fission trigger construction is part of the FRØZEN project which aims to get a better understanding of the angular momentum generation and the energy partition between fragments in the fission process. The reconstruction of the very first moments after the scission point is essential and requires correlated neutron and gamma detection as well as...

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  3. 128. Deep learning methods with uncertainity estimation for gamma photon interactions reconstruction in fast scintillators
    Dominique Yvon (CEA Saclay - IRFU/SPP)
    20/11/2024 14:40
    Object detection and reconstruction

    This talk presents a physics-informed deep learning method for the quantitative estimation of the spatial coordinates of gamma interactions within a monolithic scintillator, with a focus on Positron Emission Tomography (PET) imaging. A Density Neural Network approach is designed to estimate the 2-dimensional gamma photon interaction coordinates in a fast lead tungstate (PbWO4) monolithic...

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  4. 110. Embedded Neural Networks on FPGAs for Real-Time Computation of the Energy Deposited in the ATLAS Liquid Argon Calorimeter
    Georges AAD (CPPM)
    20/11/2024 15:05
    Fast ML : DAQ/Trigger/Real Time Analysis

    The Phase-II upgrade of the LHC will increase its instantaneous luminosity by a factor of 5-7 leading to the HL-LHC. The ATLAS Liquid Argon (LAr) calorimeter measures the energy of particles produced in LHC collisions. In order to enhance the ATLAS physics discovery potential in the blurred environment created by the pileup, it is crucial to have an excellent energy resolution and an accurate...

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  5. 136. RAG-LAB: LLMs dans les laboratoires
    Dr Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)
    20/11/2024 16:00

    RAG-LAB est un groupe de travail sur le développement et l'utilisation de large language models (type chat bots) dans les laboratoires pour des usages spécifiques.

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  6. 133. Projet IN2P3 Machine Learning
    David Rousseau (IJCLab, Université Paris-Saclay), Dr Thomas Vuillaume (LAPP, Univ. Savoie Mont-Blanc, CNRS)
    20/11/2024 16:10
  7. 134. Quelles actions futures pour le projet IN2P3 Machine Learning ?
    20/11/2024 16:25
Ordre du jour en construction...