https://popups.uliege.be/3041-539x/index.php?id=1904 Index terms fr 0 https://popups.uliege.be/3041-539x/index.php?id=2821 In our previous paper, plane waves of any free massive particle were described with a transversal distribution that is defined by a new quantum number, the Bessel order β, which shows the possibility of a hollow structure. The present paper will consider any free massive particle with spherical waves described by their radial distribution. The scale of different Bessel orders is defined and the properties and structure of the presence density are given. Then it is deduced that particles can have a hollow mass and can be made passive with an inefficient crosssection. Finally, an application to Cosmology is proposed and it is suggested that antimatter of extremely high Bessel orders, in galaxy bulge and in star nucleus, may be a solution to the three problems of galaxy stability, dark matter and antimatter in the Universe. Tue, 03 Sep 2024 14:57:30 +0200 Thu, 10 Oct 2024 16:20:20 +0200 https://popups.uliege.be/3041-539x/index.php?id=2821 https://popups.uliege.be/3041-539x/index.php?id=1957 This article contains an original approach to the maintenance of objects metrological quality on an example of the measurements accuracy maintenance and assurance. The approach throws down a challenge to the usual practice of "classical" distribution laws application, using of which results in a methodical error, that frequently prevents to provide the metrological characteristics required. It is based on the probabilistic estimation of the parameters of random variables measurements with discrete and continuous "nature" providing information on the object under research. Proposed GANCO law generalizes some well-known laws of random variables distribution and uses analytical open models and simulation models which allow an adaptation to various objects with the purpose of the given metrological accuracy maintenance. Wed, 17 Jul 2024 15:41:55 +0200 Wed, 17 Jul 2024 15:42:02 +0200 https://popups.uliege.be/3041-539x/index.php?id=1957 https://popups.uliege.be/3041-539x/index.php?id=1900 We consider a process of information transmission in the environment described by the canonical distribution of noise, considered as the transmission channel in the Information Theory. We derive the generalized form of the noisy entropy of this environment. Then, the generalized information capacity formula is derived for the geometric distribution of the output variable under the condition of greater or equal than the minimal value of the mathematical expectation of the input variable. We also state the hypotheses the capacity, when this input parameter is less or equal than that minimal (critical, extreme) value, is just defined by the lower capacity estimation which is the capacity for the limit distribution with this minimal input parameter. This paper generalizes the paper (Hejna & Vajda, 1999) presented on CASYS'98. Wed, 17 Jul 2024 13:04:30 +0200 Wed, 17 Jul 2024 13:04:36 +0200 https://popups.uliege.be/3041-539x/index.php?id=1900