5-9 September 2016
Prague Congress Centre
Europe/Prague timezone

P2.050 Real-time software tools for the performance analysis of the ITER Radial Neutron Camera

6 Sep 2016, 14:20
1h 40m
Foyer 2A (2nd floor), 3A (3rd floor) (Prague Congress Centre)

Foyer 2A (2nd floor), 3A (3rd floor)

Prague Congress Centre

5. května 65, Prague, Czech Republic
Board: 50
Poster D. Diagnostics, Data Acquisition and Remote Participation P2 Poster session

Speaker

Nuno Cruz (Instituto de Plasmas e Fusão Nuclear)

Description

The Radial Neutron Camera (RNC) diagnostic is a neutron detection system with multiple collimators aiming at characterizing the neutron emission that will be produced by the ITER tokamak. The RNC plays a primary role for basic and advanced plasma control measurements and acts as backup for system machine protection measurements. To achieve its goals, the RNC diagnostic needs to acquire, process and store huge amounts of data per ITER discharge at high peak rates, calculating real-time measurements such as the neutron emissivity profile on the millisecond time scale. As a consequence, the data acquisition system and the diagnostic Fast Controller present several technical challenges and particular attention has to be given to the realtime firmware and software design During the RNC system level design phase the following real-time data processing algorithms were developed to assess RNC data throughput needs and measurement performances: (i) real-time data compression block; (ii) real-time calculation of the neutron emissivity radial profile, based on Tikhonov regularization, starting from the line-integrated measurements, the line-of-sight geometry and using the magnetic flux information[1]; (iii) real-time calculation of the neutron emissivity profile using a-priori trained neural networks, the line-integrated measurements and the magnetic flux information (the best output from different neural networks being evaluated by a figure of merit that maps the neutron emissivity profile to the original line-integrated measurements)[2].  This paper presents results for the processing times of the various algorithms and their minimum control cycle for different conditions, such as number of lines of sight, number of magnetic flux surfaces and measurement error on the line integrated RNC measurements. References: [1]_D.Marocco et al., Combined unfolding and spatial inversion of neutron camera measurements for ion temperature profile determination in ITER, Nuclear Fusion 51 (2011)053011. [2]_M.Cecconello et al., Neural network implementation for ITER neutron emissivity profile recognition, this conference.

Co-authors

A. Fernandes (Instituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, 1004-001 Lisboa, Portugal) B. Esposito (ENEA C. R. Frascati, Dipartimento FSN, via E. Fermi 45, 00044 Frascati (Roma), Italy) B. Goncalves (Instituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, 1004-001 Lisboa, Portugal) B. Santos (Instituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, 1004-001 Lisboa, Portugal) C. Centioli (ENEA C. R. Frascati, Dipartimento FSN, via E. Fermi 45, 00044 Frascati (Roma), Italy) C.M.B. Correia (LibPhysUC, Departamento de Física, Universidade de Coimbra, 3004-516 Coimbra, Portugal) D. Marocco (ENEA C. R. Frascati, Dipartimento FSN, via E. Fermi 45, 00044 Frascati (Roma), Italy) J. Sousa (Instituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, 1004-001 Lisboa, Portugal) M. Cecconello (Department of Physics and Astronomy, Uppsala University, Box 516, Uppsala 75120, Sweden) M. Riva (ENEA C. R. Frascati, Dipartimento FSN, via E. Fermi 45, 00044 Frascati (Roma), Italy) Nuno Cruz (Instituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, 1004-001 Lisboa, Portugal) P.F. Carvalho (Instituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, 1004-001 Lisboa, Portugal) R.C. Pereira (Instituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, 1004-001 Lisboa, Portugal)

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