The bulk shielding benchmark experiment at the Frascati Neutron Generator (FNG)

Batistoni, P.; Angelone, M.; Martone, M.; Pillon, M.; Rado, V.; Santamarina, A.; Abidi, I; Gastaldi, Bernard; Martini, M.; Marquette, J.P.

doi:10.1016/0920-3796(95)90077-2

Cited by 10 publications

(1 citation statement)

References 3 publications

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“…Up to now there is no clear evidence of other charged-particle interaction, due to ␣ particles, T, and p from parasitic reactions on the target. 3 He is produced by tritium decay ͑less than 6% of the initial tritium content in a target decays during the first year͒. In our case, at E D ϭ300 keV, the energy of these ␣ particles is E ␣ ϭ2.74 MeV, to be compared with the energy of the ␣ particles of interest E ␣ P ϭ2.87 MeV.…”

Section: B the Charged-particle Spectrummentioning

confidence: 94%

Absolute experimental and numerical calibration of the 14 MeV neutron source at the Frascati neutron generator

Angelone

Pillon

Batistoni

et al. 1996

Review of Scientific Instruments

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Articles you may be interested inNeutron tomography of axially symmetric objects using 14 MeV neutrons from a portable neutron generator Rev. Sci. Instrum. 85, 085109 (2014);The absolute neutron yield of the 14 MeV Frascati neutron generator ͑FNG͒ is routinely measured by means of the associated alpha-particle method with a silicon surface barrier detector ͑SSD͒. This paper describes the work carried out to characterize the neutron source in terms of absolute intensity and angle-energy distribution of the emitted neutrons. The development of the measuring setup and the assessment of the measurement results are also reported. A complementary calibration procedure for validating the SSD results, based on the use of fission chambers and the activation technique, is also reported. An accurate analysis of the system has been performed via the Monte Carlo neutron and photon MCNP transport code. A detailed model of the neutron source that includes ion slowing down has been inserted into the MCNP code to permit a numerical calibration of the neutron source for comparison with the experimental results. The resulting agreement among the various methods is very good considering the uncertainties, and an accuracy of Ϯ2% is achieved for the measurement of the 14 MeV neutron yield of the FNG.

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Section: B the Charged-particle Spectrummentioning

confidence: 94%

Absolute experimental and numerical calibration of the 14 MeV neutron source at the Frascati neutron generator

Angelone

Pillon

Batistoni

et al. 1996

Review of Scientific Instruments

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A Neutron Camera for ITER: Conceptual Design

Marcus

Stott

Adams

et al. 1996

Diagnostics for Experimental Thermonuclear Fusion Reactors

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MHD Stability

Kikuchi¹,

Azumi²

2015

Frontiers in Fusion Research II

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Ideal, resistive and kinetic MHD instabilities are described. Since the birth of steady state tokamak research in 1990, there are number of important understandings of MHD modes related to steady state tokamak. In Sect. 8.1, we introduce the spectral property of MHD operator such as continuous spectrum and spectral gap, in brief. Marginal stability is discussed using the Newcomb equation in Sect. 8.2. Section 8.3 deals with flow effect on ideal MHD based on the Frieman-Rotenberg equation briefly. Localized MHD instabilities such as ELM, peeling/ballooning modes, infernal and barrier localized modes are discussed in Sect. 8.4. In Sect. 8.5, we introduce progress of resistive MHD such as the classical tearing mode (TM), the neoclassical tearing mode (NTM), the double tearing mode (DTM). Kinetic MHD equation is introduced in Sect. 8.6. In Sect. 8.7, Alfven eigenmode (AE) is introduced extensively. An important resistive/kinetic instability called the resistive wall mode (RWM) is introduced in Sect. 8.8. Control of ideal, resistive and kinetic MHD is essential element of fusion research. For three types of advanced tokamak operation (WS, NS, CH) to realize efficient steady state operation, ideal MHD modes such as peeling/ballooning modes for edge plasma, infernal modes for core plasma and BLM for ITB, resistive MHD modes such as NTM, DTM, RWM, kinetic MHD modes such as TAE, RSAE are understood well including control knob, while some kinetic MHD are still in progress in understanding. Key issue is that plasma profile does not match optimum profile for high beta advanced tokamak operation since profile is determined by the turbulent transport. Hence, combined understanding of MHD and turbulent transport is essential to optimize operation scenario for steady state tokamak operation.

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The bulk shielding benchmark experiment at the Frascati Neutron Generator (FNG)

Cited by 10 publications

References 3 publications

Absolute experimental and numerical calibration of the 14 MeV neutron source at the Frascati neutron generator

Absolute experimental and numerical calibration of the 14 MeV neutron source at the Frascati neutron generator

A Neutron Camera for ITER: Conceptual Design

MHD Stability

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