TY - CONF AU - Bouly, F. AU - Baylac, M.A. AU - Gatera, A. AU - Uriot, D. ED - Boland, Mark ED - Tanaka, Hitoshi ED - Button, David ED - Dowd, Rohan ED - Schaa, Volker RW ED - Tan, Eugene TI - Superconducting LINAC Design Upgrade in View of the 100 MeV MYRRHA Phase I J2 - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019 CY - Melbourne, Australia T2 - International Particle Accelerator Conference T3 - 10 LA - english AB - The goal of the MYRRHA project is to demonstrate the technical feasibility of transmutation in a 100 MW Accelerator Driven System (ADS) by building a new flexible irradiation complex at Mol (Belgium). The MYRRHA facility requires a 600 MeV accelerator delivering a maximum proton current of 4 mA in continuous wave operation, with an additional requirement for exceptional reliability. Supported by SCK•CEN and the Belgium government the project has entered in its phase I: which consists in the development and the construction of the linac first part, up to 100 MeV. We review the design updates of the superconducting linac, with its enhanced fault-tolerance capabilities. The linac capabilities at 100 MeV (Phase I) and 600 MeV (ADS operation) are exposed and discussed. PB - JACoW Publishing CP - Geneva, Switzerland SP - 837 EP - 840 KW - linac KW - cavity KW - cryomodule KW - lattice KW - emittance DA - 2019/06 PY - 2019 SN - 978-3-95450-208-0 DO - DOI: 10.18429/JACoW-IPAC2019-MOPTS003 UR - http://jacow.org/ipac2019/papers/mopts003.pdf ER - TY - CONF AU - Lamprecht, S. AU - Belmans, J. AU - Conrad, T. AU - Davin, D. AU - De Cock, W. AU - Kümpel, K. AU - Petry, N.F. AU - Podlech, H. AU - Pompon, F. AU - Vandeplassche, D. ED - Boland, Mark ED - Tanaka, Hitoshi ED - Button, David ED - Dowd, Rohan ED - Schaa, Volker RW ED - Tan, Eugene TI - Conditioning of the Frontline Cavities of the MYRRHA Injector J2 - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019 CY - Melbourne, Australia T2 - International Particle Accelerator Conference T3 - 10 LA - english AB - The MYRRHA Project (Multi-purpose hYbrid Research Reactor for High-tech Applications) in Mol, Belgium, is an upcoming accelerator driven system (ADS) for the transmutation of long-living radioactive waste. In the injector section of the accelerator, consisting of a 4-rod RFQ and a normal conducting CH-cavity section, the protons will be accelerated up to 17 MeV before entering the superconducting gap-spoke cavity section with an output energy of 600 MeV. A shortened test-injector with an output energy of 5.9 MeV is currently being installed at the SCK. CEN in Louvein-la- Neuve, Belgium. This test-injector serves the purpose of testing the reliability of the planned injector. When commissioning a cavity, it first has to be fed very little power to avoid damage to the structure by flashovers, discharges and multipacting. The power is then slowly increased up to full operation level. In this process, the surfaces are cleaned by heating/outgasing so that the effects disturbing operation described above do no longer occur. This paper will report on the status of the conditioning of the 176.1 MHz 4-rod RFQ up to 120 kW of the MYRRHA-injector and additional measurements concerning the gap voltage which are currently being performed at the SCK. CEN. PB - JACoW Publishing CP - Geneva, Switzerland SP - 895 EP - 897 KW - rfq KW - cavity KW - electron KW - multipactoring KW - MMI DA - 2019/06 PY - 2019 SN - 978-3-95450-208-0 DO - DOI: 10.18429/JACoW-IPAC2019-MOPTS023 UR - http://jacow.org/ipac2019/papers/mopts023.pdf ER - TY - CONF AU - Modic, R. AU - Della Faille, P. AU - Mekuc, P. AU - Vandeplassche, D. ED - Boland, Mark ED - Tanaka, Hitoshi ED - Button, David ED - Dowd, Rohan ED - Schaa, Volker RW ED - Tan, Eugene TI - MYRRHA DAQ Development J2 - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019 CY - Melbourne, Australia T2 - International Particle Accelerator Conference T3 - 10 LA - english AB - An approach to a generic Data Acquisition (DAQ) solution for the MYRRHA test stand at Louvain-la-Neuve (Belgium) will be described in this paper. Need for better sampling performance, signal quality, arbitrary processing and storage of measurements was a motivation for this work. A full integration of the DAQ system in the global EPICS control environment was a strong requirement. An intermediate DAQ platform was put in place to satisfy the control and experiment needs. The NI PXI platform is selected to minimize integration and development effort. NI LabVIEW is used to create a generic DAQ application. CALab library supported by BESSY is used to connect LabVIEW and EPICS. CSS GUI provides the user with the necessary control, visualization and configuration capability. The technical and organizational approach to the collaboration will be detailed in the paper. Necessary customizations of CSS and CALab and experience on using NI PXI for DAQ platform will be explained. PB - JACoW Publishing CP - Geneva, Switzerland SP - 2645 EP - 2646 KW - controls KW - EPICS KW - GUI KW - LabView KW - software DA - 2019/06 PY - 2019 SN - 978-3-95450-208-0 DO - DOI: 10.18429/JACoW-IPAC2019-WEPGW074 UR - http://jacow.org/ipac2019/papers/wepgw074.pdf ER - TY - CONF AU - Debongnie, M. AU - Baylac, M.A. AU - Bouly, F. AU - Chauvin, N. AU - Gatera, A. AU - Junquera, T. AU - Uriot, D. ED - Boland, Mark ED - Tanaka, Hitoshi ED - Button, David ED - Dowd, Rohan ED - Schaa, Volker RW ED - Tan, Eugene TI - Modelization of an Injector With Machine Learning J2 - Proc. of IPAC2019, Melbourne, Australia, 19-24 May 2019 CY - Melbourne, Australia T2 - International Particle Accelerator Conference T3 - 10 LA - english AB - Modern particle accelerator projects, such as MYRRHA, have very high stability and/or reliability requirements. To meet those, it is necessary to optimize or develop new methods for the control systems. One of the difficulties lies in the relatively long computation time of current beam dynamics codes. In this context, the very low computation time of neural network is of great attraction. However, a neural network has to be trained in order to be of any use. The training of a beam dynamic predictor uses a large dataset (experimental or simulated) that represents the dynamics over the parameter space of interest. Therefore, choosing the right training dataset is crucial for the quality of the neural network predictions. In this work, a study on the sampling choice for the training data is performed to train a neural network to predict the transmission of a beam through a low energy beam transport line and a Radiofrequency Quadrupole. We show and discuss the results obtained on training data set to model the IPHI and MYRRHA injectors. PB - JACoW Publishing CP - Geneva, Switzerland SP - 3096 EP - 3099 KW - network KW - rfq KW - LEBT KW - solenoid KW - proton DA - 2019/06 PY - 2019 SN - 978-3-95450-208-0 DO - DOI: 10.18429/JACoW-IPAC2019-WEPTS006 UR - http://jacow.org/ipac2019/papers/wepts006.pdf ER -