2022
DOI: 10.1016/j.scib.2022.10.026
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Weak radiative hyperon decays in covariant baryon chiral perturbation theory

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Cited by 8 publications
(3 citation statements)
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“…It was found to be [145], indicating that Hara 's theorem still holds for hyperon radiative decays. The results provide essential input to constrain the amplitudes of parity violation contribution in theoretical calculations, and can be used to validate the predictions and constrain the parameters of the various theoretical models [146][147][148]. Recent calculations based on Chiral Perturbation Theory are in good agreement with the BE-SIII data [146].…”
Section: Radiative Hyperon Decaysmentioning
confidence: 69%
See 1 more Smart Citation
“…It was found to be [145], indicating that Hara 's theorem still holds for hyperon radiative decays. The results provide essential input to constrain the amplitudes of parity violation contribution in theoretical calculations, and can be used to validate the predictions and constrain the parameters of the various theoretical models [146][147][148]. Recent calculations based on Chiral Perturbation Theory are in good agreement with the BE-SIII data [146].…”
Section: Radiative Hyperon Decaysmentioning
confidence: 69%
“…The large transverse polarization of hyperons such as Λ, and produced in vector charmonium decays, open up for precision studies of decay parameters in weak, radiative decays. These decays provide a tool to understand the elementary process in a way that is complementary to radiative kaon decays, which in turn serve as guidance in the search for physics beyond the SM [146,147].…”
Section: Discussionmentioning
confidence: 99%
“…Bayesian analysis has been widely used in science and engineering, such as crystal structure prediction [11], highenergy physical collision signal derivation [12][13][14], and nuclear theory research [15]. Bayes error rate (BER, denoted by R) in Bayesian analysis is the lowest unavoidable error rate in classification for given data [16], which has been extensively applied in feature selection, intermediate representations of features or behaviors, quality assessment of security defenses, feasibility estimation of machine learning, and so on [17].…”
mentioning
confidence: 99%