Periodicity analysis of galactic cosmic rays using Fourier, Hilbert, and higher-order spectral methods

Vipindas, V.; Gopinath, Sumesh; Girish, T. E.

doi:10.1007/s10509-016-2719-y

Cited by 14 publications

(4 citation statements)

References 56 publications

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“…A second peak, probably related with solar rotation, is centered in 13.5 days. The 13.5-day period (the second harmonic of the fundamental solar rotation) has been associated with both solar active longitudes as well as tilted dipole structure (Vipindas et al 2016). This period presents higher power between 2014 and 2017 (figure 2) and it is especially strong in the second half of 2016 during the decreasing phase of the Solar Cycle.…”

Section: Global Neutron Monitormentioning

confidence: 99%

Short-Term Periodicities Observed in Neutron Monitor Counting Rates

López-Comazzi

Blanco

2020

Sol Phys

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The main objective is to check whether the periodicities observed in the cosmic rays in the interval 2013-2018 are affected by the magnetic rigidity or the height at which the neutron monitors are placed. A Global Neutron Monitor (GNM) has been defined as representative of the neutron monitor global network. The Morlet wavelet analysis is applied to the GNM and the selected solar activity parameters to find out common periodicities. Short-term periodicities of 13.5, 27, 48, 92, 132 and 298 days have been observed in cosmic ray intensity. A clear inverse relationship between rigidity and spectral power has been obtained for the 13.5, 48, 92, 132-day periods. A not so clear but still observed direct relationship between the height of the neutron monitors and the spectral power for the 48, 92, 132-day periods has been also found. The periodicity of 92 days is the one which shows the highest dependence with rigidity cutoff and height. As far as we know, this is the first time that these dependencies are reported. We think that these observations could be explained by assuming some cosmic ray intensity energy dependence in such periodicities and a competitive effect between rigidity and height.

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Section: Global Neutron Monitormentioning

confidence: 99%

Short-Term Periodicities Observed in Neutron Monitor Counting Rates

López-Comazzi

Blanco

2020

Sol Phys

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“…Incomplete knowledge of processes in near-Earth space and their interaction significantly complicates the process of constructing models and methods for analysing data from neutron monitors. The applied classical methods [6][7][8] make it possible to single out stable characteristics of the data, but are not effective enough for studying non-stationary changes in cosmic ray variations. Modern methods [9] make it possible to determine the main characteristics of the dynamics of the cosmic ray flux with acceptable accuracy, but they require complex computational calculations, as a result of which they are not automated.…”

Section: Introductionmentioning

confidence: 99%

An automated method for detecting sporadic effects in cosmic rays

Geppener

Mandrikova

2020

E3S Web Conf.

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The paper proposes an automated method for analyzing data from neutron monitors and detecting sporadic effects in the dynamics of cosmic rays. The method is based on the use of LVQ neural networks and wavelet transform constructions. It is shown that the method allows detecting sporadic effects of different amplitudes and durations and evaluating their parameters. A numerical implementation of procedures for detecting sporadic effects and assessing their intensity is carried out. The questions of choosing the parameters of algorithms are investigated and ways of their optimization are proposed. On the example of the April 13-14 2013 and March 8-9 2014 events, the effectiveness of the method for detecting sporadic effects in cosmic rays preceding and accompanying magnetic storms is shown.

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“…Up to now, there are no models and methods capable to analyze the data of neutron monitors on-line and with sufficient accuracy. The classical methods used [9][10][11][12] are poorly adaptable to the changing of complex non-stationary structure of neutron monitor data, as a result of which they are ineffective for studying anomalous processes in the dynamics of cosmic rays.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the state of the cosmic ray flux based on neural networks

Mandrikova

Дмитриев²

2020

E3S Web Conf.

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An automated method is proposed for assessing the state of the cosmic ray flux on the base of neural networks. The method allows using the data of neutron monitors to determine the state of the cosmic ray flux in accordance with the a priori specified states of the neural network. The paper evaluates the method and presents the results of its application during periods of increased solar activity and magnetic storms. The possibility of realizing the method on-line is demonstrated.

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Periodicity analysis of galactic cosmic rays using Fourier, Hilbert, and higher-order spectral methods

Cited by 14 publications

References 56 publications

Short-Term Periodicities Observed in Neutron Monitor Counting Rates

Short-Term Periodicities Observed in Neutron Monitor Counting Rates

An automated method for detecting sporadic effects in cosmic rays

Estimation of the state of the cosmic ray flux based on neural networks

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