The neutron diagnostics in tokamaks like Joint European Torus JETT) are essential in estimating fusion power.
In the International Fusion Energy Research Centre (IFERC) project in the Broader Approach (BA) activities between the EU and Japan, R&D is underway to optimize RAFM steel fabrication and processing technologies, develop a method for estimating fusion-neutron-irradiation effects, and study the deformation behaviors of irradiated structures.
Therefore, it suffices to observe the two rates R T and R V to estimate whether fusion is viable or not, while the value of R F is less relevant to this end.
These subsystems overlap and the common states shared by several nodes are estimated using fusion algorithm.
To overcome attitude deviations caused by integrating the MEMS gyro's output drift, the attitude is estimated through fusion of gyroscopes with accelerometers using Kalman filter.
It is also clarified that the potential landscape around the critical area is crucial for estimating the fusion probability, and its dependence on the atomic number is presented.
To address this directly, we estimated mitochondrial fusion in control and PINK1 deficient cells using photoactivatable GFP, where fusion results in a loss of GFP fluorescence over time.
However, apart from the fact that our estimates of fusion pore formation rather tend to underestimate than overestimate the delay between fusion and [Ca2+]c rise (see Results), the following arguments exclude such a scenario: Spontaneous [Ca2+]c elevations in the absence of LB fusion events were essentially never observed.
Copy number was estimated using Fusion FX7 Advance software (peqlab).
We estimated pairwise fusion probabilities and extracted fused clusters, as described in Section 2.4.
For the local state estimates, a new fusion estimation scheme is proposed with the help of covariance intersection (CI) method and the consistency of the proposed CI-based fusion estimation scheme is shown.
