S'authentifier

Artifact preparation workshop

27–28 nov. 2023
FIAP
Fuseau horaire Europe/Paris

Sabrina Lecerf

Liste des contributions

68 / 68
23. Introduction and workshop agenda
Sabrina LECERF (GANIL)
27/11/2023 09:00
26. General project presentation
Dr Adnan Ghribi ({CNRS}UPR3266)
27/11/2023 09:10
27. RI and industrial applications
Gianluca Valentino (University of Malta)
27/11/2023 09:35
28. Transverse 1. Communication, dissemination and exploitation activities
Mlle Courtney ALLISON (ESF)
27/11/2023 10:45
85. Transverse 2. Management, IP, trust, ethics, ...
Christine Darve (European Spallation Source)
27/11/2023 11:00
29. Technical 1. AI Guidelines for accelerators
M. Lukasz Burdzanowski (CERN)
27/11/2023 11:15
86. Technical 2. AI ready accelerator data on the cloud
Andrew Mistry (GSI Helmholtzzentrum für Schwerionenforschung GmbH)
27/11/2023 11:30
87. Technical 3. AI algorithms for the accelerator context
Annika Eichler
27/11/2023 11:45
88. Technical 4. Agile smart accelerator prototype
Dr Amelia Pollard (STFC)
27/11/2023 12:00
57. Group 1 - Transverse : Communication, dissemination and stakeholder engagement
Courtney ALLISON (ESF)
27/11/2023 13:35
58. Group 2 - AI guidelines, data and training
Lukasz Burdzanowski (CERN)
27/11/2023 13:35
59. Group 3 - Tools/Methods and Demonstrators
Dr Verena Kain (CERN)
27/11/2023 13:35
60. Group 1 - Transverse / Training and knowledge transfer
Christine Darve (European Spallation Source)
27/11/2023 15:05
61. Group 2 - Data and tools and methods
Andrew Mistry (GSI Helmholtzzentrum für Schwerionenforschung GmbH)
27/11/2023 15:05
62. Group 3 - AI guidelines and demonstrators
Amelia Pollard (STFC)
27/11/2023 15:05
63. Summary
27/11/2023 16:35

Results of the breakout sessions and conclusion of the day --> everyone
89. Special focus on Laser Plasma Accceleration
Francesco Massimo, Francesco Massimo (Laboratoire Leprince-Ringuet, CNRS)
28/11/2023 08:30

(in person)
64. Enhanced quench detection at the EuXFEL through a machine learning-powered approach
Dr Lynda Boukela (DESY)
28/11/2023 08:50

(remote)
65. Exploration of ML algorithm towards anomaly detection for the Arronax accelerator operation
Freddy Poirier (CNRS/Arronax)
28/11/2023 09:05

(remote)
66. Beam distributions: signal denoising, contour reconstruction, and pattern recognition
Francis Osswald (IPHC)
28/11/2023 09:20

(remote)
67. Embedded harware for deep learning neural network: an optimization process.
Frederic Druillole (CNRS-LP2IB)
28/11/2023 09:35

(remote)
68. Discussion
28/11/2023 09:50
69. New techniques method for improving the performance of low beta ion linacs
Maurizio Montis (INFN-LNL)
28/11/2023 10:20

(in person)
90. IFMIF : overview and challenges
Ivan Podadera
28/11/2023 10:35

(in person)
70. Design of future colliders
Dr Davide Di Corce (EPFL)
28/11/2023 10:55

(remote)
71. GEOFF and optimization framework for control
Nico Madysa
28/11/2023 11:10

(in person)
72. Optimizations of lifetime and injection efficiency for comparison with Badger at the ESRF-EBS storage ring
Dr Jean-Luc Revol (ESRF)
28/11/2023 11:25

(in person)
73. AI-based optimization of beamlines at ESS
Dr Kim Lefmann (NBI)
28/11/2023 11:40

(in person)
74. Discussion
28/11/2023 11:55
75. Surrogate model of the FLUTE linac
Chenran Xu (KIT)
28/11/2023 13:10

(remote)
76. LinacNet surrogate model for ThomX
Hayg Guler (IJCLAB), Hayg Guler, hayg guler (LLR/CNRS)
28/11/2023 13:25

(in person)
77. Virtual diagnostics at UoL: complete system design
Joe Wolfenden
28/11/2023 13:40

(remote)
Virtual diagnostics will be key components in all future accelerators. They provide the ability to indirectly measure a quantity, often at remote or inaccessible locations. Availability of sufficient data to train models to produce and operate VDs is critical. It cannot be assumed that this data will be available or produced in a way that can be used for online monitoring....
78. Advanced and AI techniques to mitigate linear and non-linear imperfections in Future Circular Colliders
Quentin BRUANT, Quentin Bruant (Etudiant)
28/11/2023 13:55

(in person)
80. Discussions
28/11/2023 14:10
81. Data platform of the HEAP European project
M. Lex Avstreikh (Hopswork)
28/11/2023 14:55

(in person)
82. Control, embedding and connections with astrophysics
Ziva Brglez
28/11/2023 15:10

(remote)
83. Radiasoft presentation
Mme Anne-Laure Lamure (Radiasoft)
28/11/2023 15:25

(in person)
91. Seldon presentation
M. Andy Austin (Seldon)
28/11/2023 15:40

(in person)
84. Discsussion
28/11/2023 15:55
41. Anomaly detection in SRF cavities
Annika Eichler
42. ARRONAX
Freddy Poirier
40. Beam distributions: signal denoising to retrieve correct beam distributions
Francis Osswald
54. Control, embedding and connections with astrophysics
Ziva Brglez
50. Control/optimization at INFN
Maurizio Montis
43. DA surrogate models and cleaning performance of collimation system at ESRF-EBS
Simone Liuzzo
53. Data platform of the HEAP European project
Lex ( Hopswork
37. Design of future colliders
Tatiana Pieloni
39. Embedded Fast anomaly detection (FPGA)
Frederic Druillole
51. ESS use case
25. General project presentation
36. GEOFF and optimization framework for control
Nico Madysa
35. IFMIF and Fusion 4 Energy
Ivan Podadera
55. Industrial medical applications
52. Kim Lefmann
49. Modeling of laser wake-field acceleration
Francesco Massimo
79. MYRRHA : LINAC overview and challenges
Frédéric Bouly (Institut de Physique Nucléaire d'Orsay), Frédéric Bouly (CNRS/IN2P3/LPSC)
38. Optimizations of lifetime and injection efficiency for comparison with Badger at the ESRF-EBS storage ring
Simone Liuzzo
33. Plasma laser acceleration application with a focus on simulation and a highlight on the link with PALLAS and EuPRAXIA
34. Plasma laser acceleration application with a focus on simulation and a highlight on the link with PALLAS and EuPRAXIA
Kevin Cassou (IJCLAB)
56. Radiasoft
30. Round 1

3 groups :
- Transverse : Communication, dissemination and stakeholder engagement | --> Courtney Allison
- AI guidelines, data and training | --> Lukasz Burdzanowski
- Tools/Methods and Demonstrators | --> Verena Kain
31. Round 2

3 groups
- Transverse : Training and knowledge transfer | --> Carsten Welsch
- Data and tools and methods | --> Andrew Mistry
- AI guidelines and demonstrators | --> Amelia Pollard
32. Round 3

1 group
- Summary : results of the breakout sessions and conclusion of the day --> everyone
48. Smart parameters scan and collective effects predictions for FCC-ee
Dr Adnan Ghribi ({CNRS}UPR3266)
44. Surrogate model of the FLUTE linac
Andrea Santamaria Garcia
46. Surrogate modeling of beam losses in the LHC collimation system
Gianluca Valentino
45. ThomX
Hayg Guler
47. Virtual diagnostics
Joe Wolfenden
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