lepton model
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2019 ◽  
Vol 34 (33) ◽  
pp. 1950224
Author(s):  
J. D. García-Aguilar ◽  
Juan Carlos Gómez-Izquierdo

From the mass textures’ point of view, we present a comparative study of the [Formula: see text] flavor symmetry in the left–right symmetry model (LRSM) and the baryon minus lepton model (BLM) taking into account their predictions on the CKM mixing matrix. To do this, we recover the already studied quark mass matrix, that comes from some published papers, and under certain strong assumptions, one can show that there are predictive scenarios in the LRSM and BLM where the modified Fritzsch and nearest neighbor interaction (NNI) textures drive, respectively, the quark mixings. As the main result, the CKM mixing matrix is in good agreement with the last experimental data in the flavored BLM model.


2019 ◽  
Vol 28 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Constantinos G. Vayenas ◽  
Dimitrios Grigoriou ◽  
Eftychia Martino

AbstractUnderstanding the origin of quark confinement in hadrons remains one of the most challenging problems in modern physics. Recently, the pressure distribution inside the proton was measured via deeply virtual Compton scattering. Surprisingly, strong repulsive pressure up to 1035 pascals, the highest so far measured in our universe, was obtained near the center of the proton up to 0.6 fm, combined with strong binding energy at larger distances. We show here that this profile can be derived semiquantitatively without any adjustable parameters using the rotating lepton model of composite particles (RLM), i.e. a proton structure comprising a ring of three gravitationally attracting rotating ultrarelativistic quarks. The RLM synthesizes Newton’s gravitational law, Einstein’s special relativity, and the de Broglie’s wavelength expression, thereby conforming with quantum mechanics, and also yields a simple analytical formula for the proton radius and for the maximum measured pressure which are in excellent agreement with the experimental values.


2018 ◽  
Vol 97 (5) ◽  
Author(s):  
Takaaki Nomura ◽  
Hiroshi Okada
Keyword(s):  

2014 ◽  
Vol 732 ◽  
pp. 85-90 ◽  
Author(s):  
Seungwon Baek ◽  
Hiroshi Okada ◽  
Takashi Toma
Keyword(s):  

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