Nicolas Gac

nicolas.gac [at] centralesupelec.fr

Résumé :

  • L2S webpage: https://l2s.centralesupelec.fr/u/gac-nicolas/
  • After a M.Sc. (2003) and a Ph.D. (2008) degrees, both in signal processing, from the Institut National Polytechnique de Grenoble, I joined in 2009 the L2S (Laboratory of Signal and Systems), Paris-Saclay, where I am currently associate professor at University of Paris-Sud. I am teaching computer science for embedded systems at IUT de Cachan.
  • At the Inverse Problems Group, my research interest is focused on algorithm-architecture co-design applied mainly for tomography reconstruction and radio astronomy on multi-GPU servers or FPGA boards.

Publications :

  • Communication dans un congrès - 63 documents
    • Nicolas Gac. Projet ANR Dark-era : Adéquation Algorithme Architecture (A3) pour la radioastronomie, 2024-06-10. (https://hal.science/hal-04611829)
    • Sunrise Wang, Nicolas Gac, Hugo Miomandre, Jean-François Nezan, Karol Desnos, François Orieux. An Initial Framework for Prototyping the Radio-Interferometric Imaging Pipelines, 2024-01-17. (https://hal.science/hal-04361151v3)
    • Agathe Archet, Nicolas Ventroux, Nicolas Gac, François Orieux. Energy-efficient use of an embedded heterogeneous SoC for the inference of CNNs, 2023-09-06. (https://hal.science/hal-04148582)
    • Agathe Archet, François Orieux, Nicolas Ventroux, Nicolas Gac. Exploration d'architectures de réseaux de neurones pour la segmentation sémantique d'images aériennes, 2023-08-28. (https://hal.science/hal-04148565)
    • Agathe Archet, Nicolas Gac, François Orieux, Nicolas Ventroux. Embedded AI performances of Nvidia's Jetson Orin SoC series, 2023-06-12. (https://hal.science/hal-04186977)
    • Nicolas Monnier, David Guibert, Cyril Tasse, Nicolas Gac, François F. Orieux, Erwan Raffin, Oleg M Smirnov, Benjamin V Hugo. Multi-core multi-node parallelization of the radio interferometric imaging pipeline DDFacet, 2022-11-02. (https://hal.science/hal-03729202)
    • Nicolas Monnier, François Orieux, Nicolas Gac, Cyril Tasse, Erwan Raffin, David Guibert. Fast Sky to Sky Interpolation for Radio Interferometric Imaging, 2022-10-16. (https://hal.science/hal-03725824v2)
    • Daouda Diakite, Nicolas Gac. Premiers résultats de comparaison des outils oneAPI et OpenCL pour la convolution 2D sur FPGA, 2022-09-06. (https://centralesupelec.hal.science/hal-03695087)
    • Mickael Seznec, Agathe Archet, Nicolas Gac, François Orieux, Alvin Sashala Naik. MobileFlow : modèle et mise en œuvre pour une inférence de flot optique efficace, 2022-09-06. (https://hal.science/hal-03695558v2)
    • Nicolas Monnier, François F. Orieux, Nicolas Gac, David Guibert, Cyril Tasse, Erwan Raffin. Interpolation Rapide Sky to Sky pour l'Imagerie Radio Interférométrique, 2022-09-06. (https://hal.science/hal-03696220)
    • Daouda Diakite, Nicolas Gac. FPGA implementation of 2D Convolution using OneAPI and OpenCL, 2022-06-27. (https://centralesupelec.hal.science/hal-03695100)
    • Daouda Diakite, Nicolas Gac, Maxime Martelli. OpenCL FPGA Optimization guided by memory accesses and roofline model analysis applied to tomography acceleration, 2021-08-30. (https://hal.science/hal-03226257v2)
    • Daouda Diakite, Nicolas Gac. Memory prefetching for tomography acceleration on FPGAs through HLS tools, 2021-06-08. (https://hal.science/hal-03240542)
    • Mickael Seznec, Nicolas Gac, F. Orieux, A. Sashala Naik. An efficiency-driven approach for real-time optical flow processing on parallel hardware, 2020-10-25. (https://hal.science/hal-02604755)
    • Mohammed Chghaf, Nicolas Gac. Data distribution on a multi-GPU node for TomoBayes CT reconstruction, 2020-08-19. (https://hal.science/hal-02586239v4)
    • Mohammed Chghaf, Nicolas Gac. Student Session: Data distribution on a multi-GPU node for TomoBayes CT reconstruction, 2020-08-19. (https://hal.science/hal-04539697)
    • Daouda Diakite, Maxime Martelli, Nicolas Gac. An OpenCL pipeline implementation on Intel FPGA for 3D backprojection, 2020-08-03. (https://centralesupelec.hal.science/hal-02500994v2)
    • Maxime Martelli, Cyrille Enderli, Nicolas Gac, Antoine Vermesse, Alain Mérigot. GPU Acceleration : OpenACC for Radar Processing Simulation, 2019-09-23. (https://hal.science/hal-02129441)
    • Maxime Martelli, Cyrille Enderli, Nicolas Gac, Antoine Vermesse, Alain Mérigot. Accélération sur GPU d'une simulation radar avec OpenACC, 2019-08-26. (https://hal.science/hal-02147363)
    • Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra-Denis. Variational Bayesian approach in model-based iterative reconstruction for 3D X-ray computed tomography with Gauss-Markov-Potts prior, 2019-06-30. (https://hal.science/hal-02132706)
    • Nicolas Georgin, Camille Chapdelaine, Nicolas Gac, Ali Mohammad-Djafari, Estelle Parra-Denis. Multi-streaming and multi-GPU optimization for a matched pair of Projector and Backprojector, 2019-06-02. (https://hal.science/hal-02070223)
    • Mickael Seznec, Nicolas Gac, André Ferrari, François Orieux. A Study on Convolution Operator Using Half Precision Floating Point Numbers on GPU for Radioastronomy Deconvolution, 2018-10-21. (https://hal.science/hal-01837982)
    • Ali Mohammad-Djafari, Mircea Dumitru, Camille Chapdelaine, Nicolas Gac. Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems, 2018-09-03. (https://hal.science/hal-01837986)
    • Maxime Martelli, Nicolas Gac, Alain Mérigot, Cyrille Enderli. Harnessing FPGAs potential with OpenCL, 2018-06-13. (https://hal.science/hal-01841029)
    • Camille Chapdelaine, Nicolas Gac, Ali-Mohammad Djafari, Estelle Parra-Denis. New GPU implementation of Separable Footprint (SF) Projector and Backprojector : first results, 2018-05-20. (https://hal.science/hal-01745746)
    • Maxime Martelli, Nicolas Gac, Alain Mérigot, Cyrille Enderli. 3D Tomography parallelization on FPGAs via HLS tools, 2017-09-27. (https://hal.science/hal-01569320)
    • Mircea Dumitru, Wang Li, Nicolas Gac, Ali Mohammad-Djafari. Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography, 2017-09-17. (https://hal.science/hal-01568337)
    • Mircea Dumitru, Li Wang, Nicolas Gac, Ali Mohammad-Djafari. Comparaison des performances d’algorithmes itératifs bayésiens basés sur trois classes de modèles a priori parcimonieux appliqués à la reconstruction tomographique, 2017-09-05. (https://hal.science/hal-01569349)
    • Li Wang, Nicolas Gac, Ali Mohammad-Djafari. Reconstruction 3D en tomographie à rayons X à l'aide d'un modèle a priori hiérarchique utilisant la transformation de Haar, 2017-09-05. (https://hal.science/hal-01567888)
    • Li Wang, Ali Mohammad-Djafari, Nicolas Gac. Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction, 2017-08-28. (https://hal.science/hal-01567875)
    • Mircea Dumitru, Li Wang, Ali Mohammad-Djafari, Nicolas Gac. Model selection in the sparsity context for inverse problems in Bayesian framework, 2017-07-09. (https://hal.science/hal-01568318)
    • Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra-Denis. Joint Reconstruction and Segmentation of Real 3D Data in Computed Tomography thanks to a Gauss-Markov-Potts Prior Model,, 2017-06-19. (https://hal.science/hal-01569301)
    • Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru. 3D X-ray Computed Tomography reconstruction using sparsity enforcing Hierarchical Model based on Haar Transformation, 2017-06-18. (https://hal.science/hal-01490554)
    • Mircea Dumitru, Nicolas Gac, Li Wang, Ali Mohammad-Djafari. Unsupervised sparsity enforcing iterative algorithms for 3D image reconstruction in X-ray computed tomography, 2017-06-18. (https://hal.science/hal-01568325)
    • Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra-Denis. A joint segmentation and reconstruction algorithm for 3D Bayesian Computed Tomography using Gaus-Markov-Potts Prior Model, 2017-03-05. (https://hal.science/hal-01588443)
    • Li Wang, Ali Mohammad-Djafari, Nicolas Gac. X-ray computed tomography simultaneous image reconstruction and contour detection using a hierarchical markovian model, 2017-03-05. (https://hal.science/hal-01490508)
    • Ali Mohammad-Djafari, Li Wang, Nicolas Gac, Folkert Bleichrodt. A Student-t based sparsity enforcing hierarchical prior for linear inverse problems and its efficient Bayesian computation for 2D and 3D Computed Tomography, 2016-08-24. (https://hal.science/hal-01403787)
    • Li Wang, Ali Mohammad-Djafari, Nicolas Gac. Bayesian X-ray Computed Tomography using a Three-level Hierarchical Prior Model, 2016-07-10. (https://hal.science/hal-01403790)
    • Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru. Computed tomography reconstruction based on a hierarchical model and variational Bayesian method, 2016-03-20. (https://hal.science/hal-01403784)
    • Ning Chu, Nicolas Gac, José Picheral, Ali Mohammad-Djafari. Convolution Models with Shift-invariant kernel based on Matlab-GPU platform for Fast Acoustic Imaging, 2014-12-10. (https://centralesupelec.hal.science/hal-01103819)
    • Ning Chu, Ali Mohammad-Djafari, Nicolas Gac, José Picheral. A hierarchical variational Bayesian approximation approach in acoustic imaging, 2014-09-21. (https://centralesupelec.hal.science/hal-01103784)
    • Olivier Schwander, José Picheral, Nicolas Gac, Ali-Mohammad Djafari, Daniel Blacodon. Aero-acoustics source separation with sparsity inducing priors in the frequency domain, 2014-09-21. (https://centralesupelec.hal.science/hal-01103779)
    • Li Wang, Nicolas Gac, Ali Mohammad-Djafari. Bayesian 3D X-ray computed tomography image reconstruction with a scaled Gaussian mixture prior model, 2014-09-21. (https://hal.science/hal-01338706)
    • Ning Chu, Ali Mohammad-Djafari, Nicolas Gac, José Picheral. A variational Bayesian approximation approach via a sparsity enforcing prior in acoustic imaging, 2014-07-07. (https://centralesupelec.hal.science/hal-01103751)
    • Long Chen, Thomas Rodet, Nicolas Gac. A simple and efficient super-short-scan algorithm of fan-beam reconstruction for multiple circular trajectories: solution towards the truncated data, 2014-06-22. (https://hal.science/hal-01403846)
    • Ning Chu, Nicolas Gac, José Picheral, Ali Mohammad-Djafari. 2D convolution model using (in)variant kernels for fast acoustic imaging, 2014-02-19. (https://centralesupelec.hal.science/hal-01083451)
    • Long Chen, Thomas Rodet, Nicolas Gac. A penalized weighted least-squares image reconstruction based on scatter correction methods for X-ray CT, 2013-10-27. (https://hal.science/hal-00843508)
    • I. Shatalina, Frederic Schmidt, B. Saggin, Nicolas Gac, Matthieu Kowalski, M. Giuranna. Analytical model and spectral correction of vibration effects on Fourier transform spectrometer, 2013-09-23. (https://hal.science/hal-00930996)
    • Thomas Boulay, Ali Mohammad-Djafari, Nicolas Gac, Julien Lagoutte. High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model, 2013-08-28. (https://hal.science/hal-00931023)
    • Ning Chu, Ali Mohammad-Djafari, José Picheral, Nicolas Gac. An efficient variational Bayesian inference approach via Studient's-t priors for acoustic imaging in colored noises, 2013-06-02. (https://centralesupelec.hal.science/hal-00865786v2)
    • Thomas Boulay, Julien Lagoutte, Ali Mohammad-Djafari, Nicolas Gac. A Fuzzy-Logic based non cooperative target recognition, 2012-11-25. (https://hal.science/hal-00778560)
    • Nicolas Gac, Alexandre Vabre, Ali Mohammad-Djafari. Multi GPU parallelization of 3D bayesian CT algorithm and its application on real foam reonconstruction with incomplete data set, 2011-11-29. (https://hal.science/hal-00658653)
    • Nicolas Gac, Alexandre Vabre, Ali Mohammad-Djafari, Fanny Buyens. Accélération sur serveur multi-GPUs de la reconstruction 3D d'une mousse de nickel par méthodes itératives algébriques régularisées, 2011-09-05. (https://hal.science/hal-00616941)
    • Thomas Boulay, Nicolas Gac, Ali Mohammad-Djafari, Julien Lagoutte. Algorithmes de Reconnaissance Non Coopérative de Cibles et implémentation sur GPU, 2011-09-05. (https://hal.science/hal-00617103)
    • Nicolas Gac, Alexandre Vabre, Ali Mohammad-Djafari, Asier Rabanal, Fanny Buyens. GPU implementation of a 3D bayesian CT algorithm and its application on real foam reconstruction, 2010-06-21. (https://hal.science/hal-00504740v2)
    • Nicolas Gac, Alexandre Vabre, Ali Mohammad-Djafari, Fanny Buyens, Samuel Legoupil. Parallélisation sur GPU d'un algorithme de reconstruction 3D bayésien en tomographie X., 2009-05-28. (https://hal.science/hal-00504759)
    • Nicolas Gac, Stéphane Mancini, Michel Desvignes, Florian de Boissieu, Anthonin Reilhac. A Hardware Projector/Backprojector Pair for 3D PET Reconstruction, 2008-02. (https://hal.science/hal-00232621)
    • Nicolas Gac, Stéphane Mancini, Michel Desvignes, Dominique Houzet. Algorithm Architecture Adequacy for High Speed 3D Tomography, 2007-11. (https://hal.science/hal-00175732)
    • Nicolas Gac, Stéphane Mancini, Michel Desvignes. Hardware/software 2D-3D backprojection on a SoPC platform, 2006-04. (https://hal.science/hal-00102903)
    • Stéphane Mancini, Nicolas Gac, Michel Desvignes. Rétroprojection 2D sur plateforme SOPC, 2005-09. (https://hal.science/hal-00102907)
    • Michel Vacher, Dan Istrate, Jean-François Serignat, Nicolas Gac. Detection and Speech/Sound Segmentation in a Smart Room Environment, 2005-05-13. (https://hal.science/hal-01092602)
    • Stéphane Mancini, Nicolas Gac, Michel Desvignes. 2D backprojection on a SOPC platform : first results, 2005. (https://hal.science/hal-00102911)
    • Stéphane Mancini, Nicolas Gac, Michel Desvignes. Etude d'un cache 2D adaptatif et prédictif pour le traitement d'image, 2005-01. (https://hal.science/hal-00102913)
  • Article dans une revue - 16 documents
    • Nicolas Monnier, François Orieux, Nicolas Gac, Cyril Tasse, Erwan Raffin, David Guibert. Fast Grid to Grid Interpolation for Radio Interferometric Imaging, 2023-11-03. (https://hal.science/hal-04264131v2)
    • Daouda Diakite, Nicolas Gac. X-ray tomography reconstruction accelerated on FPGA through High-Level Synthesis tools, 2023-03-17. (https://hal.science/hal-04021970)
    • Mickael Seznec, Nicolas Gac, François Orieux, Alvin Sashala Naik. Computing Large 2D Convolutions on GPU Efficiently with the im2tensor Algorithm, 2022-12-01. (https://hal.science/hal-03742005)
    • Mickaël Seznec, Nicolas Gac, François Orieux, Alvin Sashala Naik. Real-Time Optical Flow Processing on Embedded GPU: a Hardware-Aware Algorithm to Implementation Strategy, 2022-04-01. (https://hal.science/hal-03457011)
    • Maxime Martelli, Nicolas Gac, Alain Mérigot, Cyrille Enderli. 3D Tomography back-projection parallelization on Intel FPGAs using OpenCL, 2019-07-15. (https://hal.science/hal-01831884)
    • Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra. Error-Splitting Forward Model for Iterative Reconstruction in X-ray Computed Tomography and application with Gauss-Markov-Potts prior, 2019-06. (https://hal.science/hal-01948680)
    • Antoine Marchal, Marc-Antoine Miville-Deschênes, François Orieux, Nicolas Gac, Charles Soussen, Marie-Jeanne Lesot, Adrien Revault d'Allonnes, Quentin Salomé. ROHSA: Regularized Optimization for Hyper-Spectral Analysis, 2019. (https://hal.science/hal-02147300)
    • Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru. Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior model for Sparsity in Haar Transform domain, 2018-12-21. (https://hal.science/hal-01950706)
    • Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra-Denis. A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data, 2017. (https://hal.science/hal-01569332)
    • Li Wang, Ali Mohammad-Djafari, Nicolas Gac. X-ray Computed Tomography using a sparsity enforcing prior model based on Haar transformation in a Bayesian framework, 2017. (https://hal.science/hal-01490523)
    • Ning Chu, José Picheral, Ali Mohammad-Djafari, Nicolas Gac. A robust super-resolution approach with sparsity constraint in acoustic imaging, 2014-02-03. (https://hal.science/hal-00794236v8)
    • Frédéric Schmidt, Irina Shatalina, Matthieu Kowalski, Nicolas Gac, Bortolino Saggin, B Giuranna. Toward a numerical deshaker for PFS, 2014. (https://hal.science/hal-01102830)
    • Thomas Boulay, Nicolas Gac, Ali Mohammad-Djafari, Julien Lagoutte. Algorithmes de reconnaissance NCTR et parallélisation sur GPU, 2013-12-01. (https://hal.science/hal-00930953)
    • M.L. Gallin-Martel, Yannick Grondin, Nicolas Gac, Y. Carcagno, L. Gallin-Martel, D. Grondin, M. Marton, J.F. Muraz, O. Rossetto, F. Vezzu. Experimental results and first 22Na source image reconstruction by two prototype modules in coincidence of a liquid xenon positron emission tomograph for small animal imaging, 2012-08-01. (https://hal.science/hal-00703776)
    • Nicolas Gac, Stéphane Mancini, Michel Desvignes, Dominique Houzet. High Speed 3D Tomography on CPU, GPU, and FPGA, 2008-11-01. (https://hal.science/hal-00367321)
    • Stéphane Mancini, Nicolas Gac, Michel Desvignes, O. Bourrion, O. Rossetto. Application d'un cache 2D prédictif à l'accélération de la rétroprojection TEP 2D, 2006. (https://hal.science/hal-00122552)
  • Chapitre d'ouvrage - 1 document
    • Nicolas Gac, Jean-François Nezan, André Ferrari, Chiara Ferrari, Martin Quinson, Cedric Dumez-Viou. Prototypage rapide d'un supercalculateur dédié à la radioastronomie, 2023-01-05. (https://hal.science/hal-03704333)
  • SOFTWARE - 4 documents
    • Nicolas Gac, Daouda Diakite, Mohammad-Djafari Ali. TomoGPI - accélérations sur GPU / FPGA de codes de reconstruction tomographique, 2022-12-01. (https://hal.science/hal-03947405)
    • Camille Chapdelaine, Nicolas Gac, Thomas Boulay, Ali Mohammad-Djafari, Estelle Parra-Denis, Yann Le Guilloux, Nicolas Georgin. TomoBayes - logiciel de reconstruction en tomographie CT, 2019-10-21. (https://inria.hal.science/hal-01771489)
    • Mircea Dumitru, Li Wang, Nicolas Gac, Ali Mohammad-Djafari. iterTomoGPI-GPL - Ref CNRS du pré-dépôt APP 11562-02 (num IDDN prochainement disponible), 2018-04-02. (https://inria.hal.science/hal-01759762)
    • Nicolas Gac, Ali-Mohammad Djafari. opgpuTomoGPI - Ref CNRS du pré-dépôt APP 11562-01 (num IDDN prochainement disponible), 2014-08-31. (https://inria.hal.science/hal-01759782)
  • POSTER - 7 documents
    • Nicolas Monnier, Nicolas Gac, François Orieux. Les télélescopes SKA, 2022-10-07. (https://hal.science/hal-03825850)
    • Daniel Charlet, Karol Desnos, Mickaël Dardaillon, André Ferrari, Chiara Ferrari, Nicolas Gac, Jean Francois Nezan, François Orieux, Simon Prunet, Martin Quinson, Frédéric Suter, Cyril Tasse, Cedric Dumez-Viou. Dataflow Algorithm aRchitecture co-design of SKA pipeline for Exascale Radio Astronomy, 2021-06-24. (https://hal.science/hal-03233205v2)
    • Mickael Seznec, Nicolas Gac, F. Orieux, A. Sashala Naik. A new convolutions algorithm to leverage tensor cores, 2020-05-19. (https://hal.science/hal-02605077)
    • Maxime Martelli, Mickael Seznec, Nicolas Heemeryck, Nicolas Gac. An OpenCL design for tomographic reconstruction on FPGA. Innovate Europe Design Contest Winners, 2017-09-04. (https://hal.science/hal-01851828)
    • Long Chen, Nicolas Gac, Thomas Rodet, Colombe Maury. Parallelization on a 8-GPU server of iterative 3D reconstruction algorithm for dental X-ray tomography, 2012-07-02. (https://hal.science/hal-01851992)
    • Thomas Boulay, Nicolas Gac, Ali Mohammad-Djafari, Julien Lagoutte. Implémentation et optimisation du calcul sur GPUs FERMI et non FERMI de la distance euclidienne entre des profils distance obtenus à partir de données radar dans le contexte NCTR, 2011-06-28. (https://hal.science/hal-01851986)
    • Nicolas Gac, Asier Rabanal, Alexandre Vabre, Ali Mohammad-Djafari. [OMTE 2008/2009] GPU speed-up of a 3D Bayesian CT algorithm : reconstruction of a real foam, 2010-10-12. (https://hal.science/hal-01851994)
  • HDR - 1 document
  • PATENT - 1 document
    • Camille Chapdelaine, Ali Mohammad-Djafari, Estelle Parra-Denis, Nicolas Gac. Procédé et dispositif de contrôle non-destructif d'une pièce, 2018-04-26. (https://hal.science/hal-01788556)
  • Ouvrage - 1 document
    • F. Acero, J. -T. Acquaviva, R. Adam, N. Aghanim, Mark G. Allen, M. Alves, R. Ammanouil, R. Ansari, A. Araudo, E. Armengaud, B. Ascaso, E. Athanassaoula, D. Aubert, S. Babak, A. Bacmann, A. Banday, K. Barriere, F. Bellossi, J. -P. Bernard, M. G. Bernardini, M. Bethermin, E. Blanc, L. Blanchet, J. Bobin, Samuel Boissier, C. Boisson, A. Boselli, A. Bosma, S. Bosse, S. Bottinelli, F. Boulanger, Remy Boyer, A. Bracco, C. Briand, M. Bucher, V. Buat, L. Cambresy, M. Caillat, J. -M. Casandjian, E. Caux, S. Celestin, M. Cerruti, P. Charlot, E. Chassande-Mottin, S. Chaty, N. Christensen, L. Ciesla, N. Clerc, Johann Cohen-Tanugi, Ismaël Cognard, F. Combes, B. Comis, S. Corbel, B. Cordier, M. Coriat, R. Courtin, H. Courtois, B. da Silva, Emanuele Daddi, Richard Dallier, E. Dartois, K. Demyk, J. -M. Denis, L. Denis, A. Djannati-Atai, J. -F. Donati, M. Douspis, W. van Driel, M. N. El Korso, E. Falgarone, A.F. Fantina, T. Farges, Anthony Ferrari, C. Ferrari, K. Ferrière, R. Flamary, N. Gac, S. Gauffre, F. Genova, J. Girard, I. Grenier, Jean-Mathias Griessmeier, P. Guillard, Lucas Guillemot, F. Gulminelli, A. Gusdorf, E. Habart, F. Hammer, P. Hennebelle, Fabrice Herpin, O. Hervet, A. Hughes, O. Ilbert, M. Janvier, Eric Josselin, A. Julier, C. Lachaud, Guilaine Lagache, R. Lallement, S. Lambert, L. Lamy, Pascal Larzabal, G Lavaux, T. Le Bertre, O. Le Fèvre, A. Le Tiec, B. Lefloch, M. Lehnert, M. Lemoine-Goumard, F. Levrier, M. Limousin, D. Lis, A. López-Sepulcre, J. Macías-Pérez, C. Magneville, A. Marcowith, J. Margueron, G. Marquette, D. Marshall, L. Martin, D. Mary, S. Masson, S. Maurogordato, C. Mazauric, Y. Mellier, M. -A. Miville-Deschênes, L. Montier, F. Mottez, D. Mourard, N. Nesvadba, J. -F. Nezan, P. Noterdaeme, J. Novak, P. Ocvirk, M. Oertel, Xavier Olive, V. Ollier, N. Palanque-Delabrouille, M. Pandey-Pommier, Yann Pennec, M. Perault, C. Peroux, P. Petit, J. Petri, A. Petiteau, J. Pety, G. W. Pratt, M. Puech, Benjamin Quertier, Erwan Raffin, S. Rakotozafy Harison, S. Rawson, M. Renaud, Benoît Revenu, C. Richard, J. Richard, F. Rincon, I. Ristorcelli, J. Rodriguez, M. Schultheis, C. Schimd, B. Semelin, H. Sol, J. -L. Starck, Michel Tagger, C. Tasse, Gilles Theureau, S. Torchinsky, C. Vastel, S. D. Vergani, L. Verstraete, X. Vigouroux, N. Vilmer, J. -P. Vilotte, N. Webb, N. Ysard, Philippe Zarka, Mathieu Langer. French SKA White Book - The French Community towards the Square Kilometre Array, 2018. (https://hal.science/hal-01686223)
  • Thèse - 1 document