Predictive models of the galaxies’ movement speeds and accelerations of movement on applying the Doppler Effect

Skeivalas, Jonas; Turla, Vytautas; Jurevičius, Mindaugas

doi:10.1007/s12648-018-1264-7

Cited by 17 publications

(5 citation statements)

References 5 publications

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“…As is well known, the Doppler effect equation could be introduced to detect the speed of moving objects. In this equation the value of the coefficient z indicates the object's relative speed in comparison to the speed of light in vacuum c. We will use following form of the expression for the coefficient z [37,38]:…”

Section: Modelling Of Seismic Oscillations Parameters -mentioning

confidence: 99%

Constructing predictive models for seismic oscillation parameters using covariance functions and Doppler effect phenomena: A case study of InSight mission V2 data

Skeivalas,

Paršeliūnas,

Šlikas

et al. 2024

EPL

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An ability to construct predictive models for identifying seismic oscillation parameters by using the mathematics of covariance functions and Doppler effect phenomena is examined in this work. In the calculations, the Mars seismic oscillations measurement data from InSight Mission V2, observed in the months 05, 06 and 07 of 2019, was used. To analyze the observation data arrays the Doppler phenomena and the expressions of covariance functions were employed. The seismic oscillations trend's intensity vectors were assessed by least squares method, and the random errors of measurements at the stations were eliminated partially as well. The estimates of the vector's auto-covariance and cross-covariance functions were derived by altering the quantization interval on the general time scale while varying the magnitude of the seismic oscillation vector on the same time scale. To detect the mean values of z – the main parameter of Doppler expression - we developed formula by involving the derivatives of cross-covariance functions of a single vector and algebraic sum of the relevant vectors.

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Section: Modelling Of Seismic Oscillations Parameters -mentioning

confidence: 99%

Constructing predictive models for seismic oscillation parameters using covariance functions and Doppler effect phenomena: A case study of InSight mission V2 data

Skeivalas,

Paršeliūnas,

Šlikas

et al. 2024

EPL

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“…Now, it is possible to calculate cross-covariance and autocovariance functions of the seismic vibrations as well as the shifts of the seismic vibrations, respectively, to each other by introducing the Doppler effect expression. Let us take the formula for the parameter z [76][77][78]:…”

Section: Modelling Of Seismic Vibrationsmentioning

confidence: 99%

On Analysis of Seismic Vibrations Data Applying Doppler Effect Expression

Skeivalas

Paršeliūnas

Obuchovski

et al. 2021

Advances in Civil Engineering

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In the paper, a possibility to develop the digital models of the seismic vibrations parameters is analyzed. To reach this goal, the observations at seismic station LUWI (Indonesia) were processed applying the statistical procedures. In fact, the biggest attention was given to the introduction of the Doppler effect expression and the employment of the theory of covariance functions. The trend in vectors of vibrations intensities values was detected and estimated upon using the least-squares method and polynomial approximation. In addition, by this technique, the random errors were eliminated partially. The self-developed computer programs based on Matlab programming package procedures were applied.

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“…There are many theories for describing the behavior of the wave in space and increasing its wavelength. Doppler effect is the most similar theory that has been used for investigating the cosmic redshift [5][6][7][8][9]. In the Doppler effect, changing the wavelength is due to changing the distance between emitter and observer during the traveling of the wave between them.…”

Section: Introductionmentioning

confidence: 99%

How does the quantum structure of electromagnetic waves describe quantum redshift?

Kalhor

2022

Preprint

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The redshift of the electromagnetic waves is a powerful tool for calculating the distance of the objects in space and studying their behavior. However, physicists' misinterpretation of why Redshift occurs has led us to a misunderstanding of the most cosmological phenomena. The paper introduces Quantum Redshift (QR) by using the quantum structure of the electromagnetic waves (QSEW) In the Quantum Redshift, although the Planck constant is the smallest unit of three-dimensional energy, it is consisting of smaller units of one-dimensional energy. The maximum energy of each period of the electromagnetic waves is equal to the Planck constant hence, the capacity of each period is carrying one-dimensional quanta energy. However, in the QR, at the emitting time of the electromagnetic waves, their periods are not fully filled. On the other hand, they are interested in sharing quanta energies with each other to have full filled periods. Sharing the quanta energies ofا some periods between other periods is the reason for destroying some periods and decreasing the frequency of the electromagnetic waves. Our other studies show Quantum Redshift can well explain the whole phenomenon of the universe, and real data support our theory. The quantum redshift rejects the big bang theory, expansion of space and dark energy. It predicts dark matters and describes CMB. The paper obtains the basic equation of the QR for use in future papers.

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Predictive models of the galaxies’ movement speeds and accelerations of movement on applying the Doppler Effect

Cited by 17 publications

References 5 publications

Constructing predictive models for seismic oscillation parameters using covariance functions and Doppler effect phenomena: A case study of InSight mission V2 data

Constructing predictive models for seismic oscillation parameters using covariance functions and Doppler effect phenomena: A case study of InSight mission V2 data

On Analysis of Seismic Vibrations Data Applying Doppler Effect Expression

How does the quantum structure of electromagnetic waves describe quantum redshift?

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