Publications

Here is a selection of my publications, datasets and software packages. For a complete list, see my Google Scholar profile.

2025

  1. arXiv
    To clean or not to clean? Influence of pixel removal on event reconstruction using deep learning in CTAO
    Tom François, Justine Talpaert, and Thomas Vuillaume
    arXiv preprint arXiv:2502.07643, 2025
  2. stereograph_icon_.jpg
    Stereograph: Stereoscopic event reconstruction using graph neural networks applied to CTAO
    Hana Ali Messaoud, Thomas Vuillaume, and Tom François
    arXiv preprint arXiv:2502.07421, 2025
  3. techradar.jpg
    EVERSE TechRadar
    EVERSE, Thomas Vuillaume, Faruk Diblen, and 7 more authors
    Sep 2025

2024

  1. Talk
    The ESCAPE Open-source Software and Service Repository - Open Science Days 2024
    Thomas Vuillaume
    Sep 2024
  2. Deep Learning and IACT: Bridging the gap between Monte-Carlo simulations and LST-1 data using domain adaptation
    Michael Dellaiera, Cyann Plard, Thomas Vuillaume, and 2 more authors
    arXiv preprint arXiv:2403.13633, Sep 2024
  3. The ESCAPE Data Science Summer School 2021
    T Vuillaume, M Hubert, K Graf, and 8 more authors
    In Astronomical Society of the Pacific Conference Series, Sep 2024
  4. The first release of the Cherenkov Telescope Array Observatory array control and data acquisition software
    I Oya, P Aubert, L Baroncelli, and 8 more authors
    In Software and Cyberinfrastructure for Astronomy VIII, Sep 2024
  5. Unsupervised Domain Adaptation for Multitask Image Analysis in Realistic Context with Extreme Label Shift; Application to the Ctao First Large Sized Telescope
    Michael Dell’aiera, Thomas Vuillaume, and Alexandre Benoit
    Application to the Ctao First Large Sized Telescope, Sep 2024
  6. Deep-learning Analysis of Cherenkov Telescope Array Images
    Mikaël JACQUEMONT, Thomas VUILLAUME, Alexandre BENOIT, and 2 more authors
    Inversion and Data Assimilation in Remote Sensing: Estimation of Geophysical Parameters, Sep 2024
  7. Performance of the Large-Sized Telescope prototype of the Cherenkov Telescope Array
    K Abe, S Abe, A Aguasca-Cabot, and 8 more authors
    In 38th International Cosmic Ray Conference, Sep 2024
  8. The Real Time Analysis framework of the Cherenkov Telescope Array’s Large-Sized Telescope
    K Abe, S Abe, A Aguasca-Cabot, and 8 more authors
    In 38th International Cosmic Ray Conference, Sep 2024
  9. software
    lstmcpipe
    Thomas Vuillaume, Enrique Garcia, Lukas Nickel, and 1 more author
    Sep 2024
  10. Deep-learning Analysis of Cherenkov Array Images Telescope
    Mikaël JACQUEMONT, Thomas VUILLAUME, Alexandre BENOIT, and 2 more authors
    Inversion and Data Assimilation in Remote Sensing: Estimation of Geophysical Parameters, Sep 2024

2023

  1. lst1_sensitivity.png
    Observations of the Crab Nebula and Pulsar with the Large-sized Telescope Prototype of the Cherenkov Telescope Array
    H Abe, K Abe, S Abe, and 8 more authors
    The Astrophysical Journal, Sep 2023
  2. Deep unsupervised domain adaptation applied to the cherenkov telescope array large-sized telescope
    Michaël Dell’Aiera, Thomas Vuillaume, Mikaël Jacquemont, and 1 more author
    In Proceedings of the 20th international conference on content-based multimedia indexing, Sep 2023
  3. software
    Gammapy: A Python package for gamma-ray astronomy
    Axel Donath, Régis Terrier, Quentin Remy, and 8 more authors
    Astronomy & Astrophysics, Sep 2023
  4. Performance of the Large-Sized Telescope prototype of the Cherenkov Telescope Array
    Daniel Morcuende, Rubén López-Coto, Abelardo Moralejo, and 2 more authors
    arXiv preprint arXiv:2309.11315, Sep 2023
  5. The Real Time Analysis framework of the Cherenkov Telescope Array’s Large-Sized Telescope
    Sami Caroff, Pierre Aubert, Enrique Garcia, and 3 more authors
    arXiv preprint arXiv:2309.11679, Sep 2023
  6. Observations of the Crab Nebula and Pulsar with the Large-Sized Telescope prototype of the Cherenkov Telescope Array Data Points
    Ruben Lopez Coto, Abelardo Moralejo Olaizola, Daniel Morcuende, and 2 more authors
    Zenodo, Sep 2023
  7. Analyse d’images Cherenkov monotélescope par apprentissage profond
    Mikaël JACQUEMONT, Thomas VUILLAUME, Alexandre BENOIT, and 2 more authors
    Inversion et assimilation de données de télédétection: Estimation des paramètres géophysiques, Sep 2023
  8. Chapitre 9-Analyse d’images Cherenkov monotélescope par apprentissage profond
    Mikaël JACQUEMONT, Thomas VUILLAUME, Alexandre BENOIT, and 2 more authors
    Sep 2023
  9. The ESCAPE Open-source Software and Service Repository
    T Vuillaume, M Al-Turany, M Füßling, and 9 more authors
    Open Research Europe, Sep 2023

2022

  1. ESCAPE Open-source Scientific Software and Service Repository
    Thomas Vuillaume and Enrique Garcı́a
    Astronomical Data Analysis Software and Systems XXX, Sep 2022
  2. software
    The eOSSR library
    Thomas Vuillaume, Enrique Garcia, Christian Tacke, and 1 more author
    arXiv preprint arXiv:2212.00499, Sep 2022
  3. software
    The lstMCpipe library
    Enrique Garcia, Thomas Vuillaume, and Lukas Nickel
    arXiv preprint arXiv:2212.00120, Sep 2022
  4. software
    Gammapy: Python toolbox for gamma-ray astronomy
    Fabio Acero, Juan Bernete, Noah Biederbeck, and 8 more authors
    Zenodo, Sep 2022
  5. Deep-learning-driven event reconstruction applied to simulated data from a single Large-Sized Telescope of CTA
    H Abe, A Aguasca, I Agudo, and 8 more authors
    In Proceedings of Science, Sep 2022

2021

  1. Multi-task architecture with attention for imaging atmospheric cherenkov telescope data analysis
    Mikaël Jacquemont, Thomas Vuillaume, Alexandre Benoit, and 2 more authors
    In VISAPP 2021, Sep 2021
  2. Deep learning for astrophysics, understanding the impact of attention on variability induced by parameter initialization
    Mikaël Jacquemont, Thomas Vuillaume, Alexandre Benoit, and 2 more authors
    In International Conference on Pattern Recognition, Sep 2021
  3. First full-event reconstruction from imaging atmospheric cherenkov telescope real data with deep learning
    Mikaël Jacquemont, Thomas Vuillaume, Alexandre Benoit, and 3 more authors
    In 2021 International Conference on Content-Based Multimedia Indexing (CBMI), Sep 2021
  4. Analysis of the Cherenkov Telescope Array first Large-Sized Telescope real data using convolutional neural networks
    Thomas Vuillaume, Mikaël Jacquemont, Mathieu de Bony Lavergne, and 7 more authors
    arXiv preprint arXiv:2108.04130, Sep 2021
  5. Physics performance of the large-sized telescope prototype of the Cherenkov Telescope Array
    Ruben Lopez-Coto, A Moralejo, M Artero, and 8 more authors
    arXiv preprint arXiv:2109.03515, Sep 2021
  6. Deep-learning-driven event reconstruction applied to simulated data from a single Large-Sized Telescope of CTA
    Pietro Grespan, Mikael Jacquemont, Ruben Lopez-Coto, and 3 more authors
    arXiv preprint arXiv:2109.14262, Sep 2021

2020

  1. Single imaging atmospheric cherenkov telescope full-event reconstruction with a deep multi-task learning architecture
    Mikaël Jacquemont, Thomas Vuillaume, Alexandre Benoı̂t, and 2 more authors
    In Astronomical Data Analysis Software and Systems ADASS XXX, Sep 2020
  2. hipeCTA-a High Performance Library for the Cherenkov Telescope Array Data Reconstruction
    T Vuillaume, P Aubert, J Jacquemier, and 2 more authors
    Astronomical Data Analysis Software and Systems XXIX, Sep 2020
  3. PhD Thesis
    Development of a computing farm with Cloud Computing on GPU
    Thomas Gasparetto, Francesco Longo, Giovanni Lamanna, and 1 more author
    Université Grenoble Alpes; Università degli studi (Trieste, Italie), Sep 2020
  4. software
    lstchain: An Analysis Pipeline for LST-1, the First Prototype Large-Sized Telescope of CTA
    Rubén López-Coto, Andrés Baquero, Maria Isabel Bernardos, and 8 more authors
    In 30th Astronomical Data Analysis Software and Systems, Sep 2020

2019

  1. Indexed operations for non-rectangular lattices applied to convolutional neural networks
    Mikael Jacquemont, Luca Antiga, Thomas Vuillaume, and 4 more authors
    In VISAPP 2019, Sep 2019
  2. The Cherenkov Telescope Array performance in divergent mode
    A Donini, T Gasparetto, J Bregeon, and 5 more authors
    arXiv preprint arXiv:1907.07978, Sep 2019
  3. GammaLearn-first steps to apply Deep Learning to the Cherenkov Telescope Array data
    Thomas Vuillaume, Jacquemont Mikael, Luca Antiga, and 4 more authors
    In EPJ Web of Conferences, Sep 2019
  4. GammaLearn: a Deep Learning framework for IACT data
    Mikaël Jacquemont, Thomas Vuillaume, Alexandre Benoit, and 4 more authors
    In 36th International Cosmic Ray Conference, Sep 2019
  5. Studying Deep Convolutional Neural Networks With Hexagonal Lattices for Imaging Atmospheric Cherenkov Telescope Event Reconstruction
    D Nieto Castaño, A Brill, Q Feng, and 4 more authors
    In 36th International Cosmic Ray Conference (ICRC2019), Sep 2019

2018

  1. A stratified jet model for AGN emission in the two-flow paradigm
    Thomas Vuillaume, Gilles Henri, and P-O Petrucci
    Astronomy & Astrophysics, Sep 2018
  2. Polynomial data compression for large-scale physics experiments
    Pierre Aubert, Thomas Vuillaume, Gilles Maurin, and 3 more authors
    Computing and Software for Big Science, Sep 2018
  3. High Performance Computing applied to the Cherenkov Telescope Array data analysis
    Thomas Vuillaume, Pierre Aubert, Jean Jacquemier, and 3 more authors
    In CHEP 2018 Conference, Sep 2018
  4. Deep Learning applied to the Cherenkov Telescope Array data analysis
    M. Jacquemont, T. Vuillaume, A. Benoit, and 3 more authors
    In CHEP 2018 Conference, Sep 2018

2017

  1. pschitt_logo_600x700.png
    pschitt! - A Python package for the modelling of atmoSpheric Showers and CHerenkov Imaging Terrestrial Telescopes
    Thomas Vuillaume, Florian Gaté, Gilles Maurin, and 2 more authors
    In ICRC 2017, Sep 2017
  2. software
    Gammapy-A prototype for the CTA science tools
    Christoph Deil, Roberta Zanin, Julien Lefaucheur, and 8 more authors
    arXiv preprint arXiv:1709.01751, Sep 2017
  3. High Performance Computing algorithms for Atmospheric Cherenkov Telescopes
    Thomas Vuillaume, Gilles Maurin, Jean Jacquemier, and 3 more authors
    Proceedings of Science, Sep 2017
  4. A inhomogenous jet model for the broad band emission of radio loud AGNs
    Thomas Vuillaume, Gilles Henri, and Pierre-Olivier Petrucci
    In 35th International Cosmic Ray Conference, Sep 2017
  5. When High Performance Computing meets Astronomy - A concrete case
    Thomas Vuillaume, Pierre Aubert, and Giovanni Lamanna
    In HEP Software Foundation (HSF) workshop, Sep 2017
  6. Technology benchmark report of the ASTERICS 2020 project
    Thomas Vuillaume, Nicolas Chotard, Stefan Geißelsöder, and 5 more authors
    Sep 2017
  7. High Performance Computing algorithms for Imaging Atmospheric Cherenkov Telescopes
    Thomas Vuillaume, Pierre Aubert, Gilles Maurin, and 3 more authors
    Sep 2017

2016

  1. Application of High Performance Computing and vectorisation solutions to data analysis for Imaging Atmospheric Cherenkov Telescopes
    Thomas Vuillaume, Pierre Aubert, Gilles Maurin, and 2 more authors
    In ADASS XXVI, Sep 2016
  2. Resources and Requirements Analysis of the ESFRI in the ASTERICS framework
    Thomas Vuillaume, Tamo Dijkema, Rob Meer, and 2 more authors
    Sep 2016

2015

  1. Variation of bulk Lorentz factor in AGN jets due to Compton rocket in a complex photon field
    Thomas Vuillaume, Gilles Henri, and P-O Petrucci
    Astronomy & Astrophysics, Sep 2015
  2. Modeling the emission of active galactic nuclei at Fermi’s era
    Thomas Vuillaume
    Oct 2015

2014

  1. Influence of an AGN complex photon field on the jet bulk Lorentz factor through Compton rocket effect
    Thomas Vuillaume, Gilles Henri, and Pierre-Olivier Petrucci
    Proceedings of the International Astronomical Union, Oct 2014

2012

  1. Anisotropic inverse Compton process in the vicinity of an accretion disk
    Thomas Vuillaume, Gilles Henri, and Pierre-Olivier Petrucci
    In AIP Conference Proceedings, Oct 2012