scholarly journals Deducing the proton energy configuration

Author(s):  
William S. Oakley

<p class="abstract">Articles published prior to 1994 by various authors indicate a mass energy sequence for the pion, muon, and electron in the ratios 4: 3: 2 respectively with increments of about 35.3 MeV, with the electron “rest mass” energy rotationally relativistic at α<sup>-1</sup>m<sub>e</sub>c<sup>2</sup>, ~ 70 MeV. Considering 35.3 MeV rotationally relativistic by α<sup>-2/3</sup> (≈ 26.58) extends the sequence to include the proton mass energy at 938 MeV, i.e. 26.58 <em>x</em> 35.3 MeV = 938.274 MeV. This observation leads to describing the proton as a single EM wave propagating in a toroidal path with volume contracted by α and thereby exhibiting unit charge in the far field, and evidencing partial charges in the near field consistent with the UUD quarks of the Standard Model. As with quantum chromodynamics (QCD), over 99% of the proton rest mass is relativistic in nature. A value for the proton radius is obtained within the empirical uncertainty<span lang="EN-IN">s. </span></p>

2020 ◽  
Author(s):  
Amira Val Baker

The radius of the proton is a topic of debate and has yet to be confirmed. Measurements from different techniques yield conflicting values, with some experimental methods yielding a value in disagreement with the standard model. This review article outlines the current status of the experimental results and summarizes the possible solutions to this puzzle.


2021 ◽  
Vol 81 (8) ◽  
Author(s):  
Fulvio Melia

AbstractToday we have a solid, if incomplete, physical picture of how inertia is created in the standard model. We know that most of the visible baryonic ‘mass’ in the Universe is due to gluonic back-reaction on accelerated quarks, the latter of which attribute their own inertia to a coupling with the Higgs field – a process that elegantly and self-consistently also assigns inertia to several other particles. But we have never had a physically viable explanation for the origin of rest-mass energy, in spite of many attempts at understanding it towards the end of the nineteenth century, culminating with Einstein’s own landmark contribution in his Annus Mirabilis. Here, we introduce to this discussion some of the insights we have garnered from the latest cosmological observations and theoretical modeling to calculate our gravitational binding energy with that portion of the Universe to which we are causally connected, and demonstrate that this energy is indeed equal to $$mc^2$$ m c 2 when the inertia m is viewed as a surrogate for gravitational mass.


Author(s):  
Mondher Dhaouadi ◽  
M. Mabrouk ◽  
T. Vuong ◽  
A. Ghazel

1998 ◽  
Vol 38 (10) ◽  
pp. 323-330
Author(s):  
Philip J. W. Roberts

The results of far field modeling of the wastefield formed by the Sand Island, Honolulu, ocean outfall are presented. A far field model, FRFIELD, was coupled to a near field model, NRFIELD. The input data for the models were long time series of oceanographic observations over the whole water column including currents measured by Acoustic Doppler Current Profilers and density stratification measured by thermistor strings. Thousands of simulations were made to predict the statistical variation of wastefield properties around the diffuser. It was shown that the visitation frequency of the wastefield decreases rapidly with distance from the diffuser. The spatial variation of minimum and harmonic average dilutions was also predicted. Average dilution increases rapidly with distance. It is concluded that any impact of the discharge will be confined to a relatively small area around the diffuser and beach impacts are not likely to be significant.


2015 ◽  
Vol 23 (04) ◽  
pp. 1540007 ◽  
Author(s):  
Guolong Liang ◽  
Wenbin Zhao ◽  
Zhan Fan

Direction of arrival (DOA) estimation is of great interest due to its wide applications in sonar, radar and many other areas. However, the near-field interference is always presented in the received data, which may result in degradation of DOA estimation. An approach which can suppress the near-field interference and preserve the far-field signal desired by using a spatial matrix filter is proposed in this paper and some typical DOA estimation algorithms are adjusted to match the filtered data. Simulation results show that the approach can improve capability of DOA estimation under near-field inference efficiently.


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