Results 21 to 30 of about 23,193 (253)
Quantum information-entropic measures for exponential-type potential
Results in Physics, 2020 The approximate solutions of the Schrödinger equation with the central generalized Hulthén and Yukawa potential are investigated within the framework of the functional method. The obtained wave function and the energy levels are used to study the Shannon
A.N. Ikot +5 more
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Shannon Entropy in LS-Coupled Configuration Space for Ni-like Isoelectronic Sequence
Entropy, 2022 The Shannon entropy in an LS-coupled configuration space has been calculated through a transformation from that in a jj-coupled configuration space for a Ni-like isoelectronic sequence.
Jian-Jie Wan, Jie Gu, Jiao Li, Na Guo
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Shannon Entropy Reinterpreted [PDF]
Reports on Mathematical Physics, 2018 In this paper we remark that Shannon entropy can be expressed as a function of the self-information (i.e. the logarithm) and the inverse of the Lambert $W$ function. It means that we consider that Shannon entropy has the trace form: $-k \sum_{i} W^{-1} \circ \mathsf{ln}(p_{i})$.
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Research on the Source Convergence Diagnose Method of Monte Carlo Critical Calculation for Loosely Coupled System [PDF]
EPJ Web of ConferencesIn order to improve the reliability and accuracy of Monte Carlo program in the critical safety calculation of loosely coupled systems, an improved Shannon entropy diagnose method considering the distribution of fission sources and the statistical bias is
Cheng Yuting +5 more
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Rényi Extrapolation of Shannon Entropy [PDF]
Open Systems & Information Dynamics, 2003 Relations between Shannon entropy and Rényi entropies of integer order are discussed. For any N-point discrete probability distribution for which the Rényi entropies of order two and three are known, we provide a lower and an upper bound for the Shannon entropy. The average of both bounds provide an explicit extrapolation for this quantity.
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Statistical Correlations of the N-particle Moshinsky Model
Entropy, 2015 We study the correlation of the ground state of an N-particle Moshinsky model by computing the Shannon entropy in both position and momentum spaces. We have derived the Shannon entropy and mutual information with analytical forms of such an N-particle ...
Hsuan Tung Peng, Yew Kam Ho
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Statistical Estimation of the Shannon Entropy [PDF]
Acta Mathematica Sinica, English Series, 2018 The behavior of the Kozachenko - Leonenko estimates for the (differential) Shannon entropy is studied when the number of i.i.d. vector-valued observations tends to infinity. The asymptotic unbiasedness and L^2-consistency of the estimates are established. The conditions employed involve the analogues of the Hardy - Littlewood maximal function.
Bulinski, Alexander, Dimitrov, Denis
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Shannon entropy and particle decays
Nuclear Physics B, 2018 We deploy Shannon's information entropy to the distribution of branching fractions in a particle decay. This serves to quantify how important a given new reported decay channel is, from the point of view of the information that it adds to the already ...
Pedro Carrasco Millán +4 more
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Small Target Detection in Sea Clutter Background Based on Tsallis Entropy of Doppler Spectrum
Leida xuebao, 2019 According to the different concentration levels of Doppler spectrum between sea clutter and target, small target in sea clutter background can be detected using Shannon entropy.
CHEN Shichao +3 more
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A Scalable Shannon Entropy Estimator
, 2022 AbstractQuantified information flow (QIF) has emerged as a rigorous approach to quantitatively measure confidentiality; the information-theoretic underpinning of QIF allows the end-users to link the computed quantities with the computational effort required on the part of the adversary to gain access to desired confidential information.
Priyanka Golia +2 more
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