Lecture Notes in Physics
DOI: 10.1007/3-540-55246-4_93
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Nuclear reactions in flares

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Cited by 3 publications
(4 citation statements)
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“…The flare of 1983 May 7, whose time history is shown in Figure 3, exhibits a burst on the rising part of the emission (Rieger 1989). It is again most apparent in the energy band 10-25 MeV and lacks a significant counterpart at X-ray energies.…”
Section: Observationsmentioning
confidence: 97%
“…The flare of 1983 May 7, whose time history is shown in Figure 3, exhibits a burst on the rising part of the emission (Rieger 1989). It is again most apparent in the energy band 10-25 MeV and lacks a significant counterpart at X-ray energies.…”
Section: Observationsmentioning
confidence: 97%
“…(B13) the local static susceptibility diverges only at the transition. 52 Although they may not play a role in the SK model, Griffiths singularities are likely to appear in other SMF Hamiltonians associated with disordered dynamical systems (e.g., systems where J ij is short ranged). 53 In such cases, it will be interesting to understand whether the Griffiths singularities actually correspond to observable features in the original classical system, possibly relating to the presence of separate characteristic temperatures, as is the case for the dynamical, the thermodynamic one-step replica-symmetry-breaking and the full replica-symmetry-breaking transitions in the p ≥ 3 Ising spin glass model.…”
Section: Griffiths Singularitiesmentioning
confidence: 99%
“…The sequential associative memory model is a neural network, in which the sequence of patterns is embedded as an attractor through the Hebbian (correlation) learning [12,13,14,15]. When the number of the patterns, p, is on the order O(N ), where N is the number of the processing units, the model has frustrated interactions [16]. Previously, the properties at stationary states had been exactly analyzed by the path-integral method [13,14] because the theoretical treatment of transient dynamics was difficult.…”
mentioning
confidence: 99%
“…Moreover, there is a chaotic attractor around the repellor P . The Lyapunov exponent of the chaotic attractor, which can be easily calculated from the equations (13)- (16), is positive i.e. 0.038.…”
mentioning
confidence: 99%