Geomagnetic Storms and Recording of Acoustic Signals
Abstract
Having published three articles in the Journal La Multiapp: “Doppler Effect and Acoustic Trails of Neutrinos”, “Neutrinos above the Earth's surface” and “Algorithm for detecting acoustic traces of neutrino decay”, I already wanted to stop research in this direction, if only because that I do not have enough competencies in astrophysics, and that published data is enough for specialized specialists to evaluate the technical and scientific novelty and understand the capabilities of the new method. But, when on the morning of February 3, 2024 at 07:40:19 I turned on the monitoring system, bipolar acoustic pulses with a visible period of 40 μs (frequency 25 kHz) began to be observed on the screen with an interval of about 0.3 seconds, the shape of which is very similar to acoustic traces, associated with neutrino decay. The apparent frequency of these pulses was underestimated by a factor of two, probably due to the insufficiently high Nyquist frequency (50 kHz). A similar picture was observed during the next registration at 07:40:38, and at 07:40:57, only five pulses were recorded with a repetition interval of 1 second. On the fourth and fifth of February there were practically no impulses. There was a suspicion that the observed process was timed to coincide with a geomagnetic storm; more precisely, it was the observed processes that caused geomagnetic storms.
References
Attia, H., Gaya, S., Alamoudi, A., Alshehri, F. M., Al-Suhaimi, A., Alsulaim, N., ... & Al-Dirini, F. (2020). Wireless geophone sensing system for real-time seismic data acquisition. IEEE Access, 8, 81116-81128. https://doi.org/10.1109/ACCESS.2020.2989280
Belyakov, A. (2024). Algorithm for Detecting Acoustic Traces of Neutrino Decay. Journal La Multiapp, 5(2), 44-51. https://doi.org/10.37899/journallamultiapp.v5i2.1006
Belyakov, A. (2024). Algorithm for Detecting Acoustic Traces of Neutrino Decay. Journal La Multiapp, 5(2), 44-51.
Bergel, A., Tiran, E., Deffieux, T., Demené, C., Tanter, M., & Cohen, I. (2020). Adaptive modulation of brain hemodynamics across stereotyped running episodes. Nature communications, 11(1), 6193. https://doi.org/10.1038/s41467-020-19948-7
Desherevskii, A. V., Zhuravlev, V. I., Nikolsky, A. N., & Sidorin, A. Y. (2017). Technology for analyzing geophysical time series: Part 2. WinABD—A software package for maintaining and analyzing geophysical monitoring data. Seismic Instruments, 53, 203-223. https://doi.org/10.3103/S0747923917030021
Gavrilov, V. A., Bogomolov, L. M., & Zakupin, A. S. (2011). Comparison of the geoacoustic measurements in boreholes with the data of laboratory and in-situ experiments on electromagnetic excitation of rocks. Izvestiya, Physics of the Solid Earth, 47, 1009-1019. https://doi.org/10.1134/S1069351311100041
Geva-Sagiv, M., Mankin, E. A., Eliashiv, D., Epstein, S., Cherry, N., Kalender, G., ... & Fried, I. (2023). Augmenting hippocampal–prefrontal neuronal synchrony during sleep enhances memory consolidation in humans. Nature neuroscience, 26(6), 1100-1110. https://doi.org/10.1038/s41593-023-01324-5
Khatami, M. M., Van de Put, M. L., & Vandenberghe, W. G. (2021). First-principles study of electronic transport in germanane and hexagonal boron nitride. Physical Review B, 104(23), 235424. https://doi.org/10.1103/PhysRevB.104.235424
Rundle, J. B., Stein, S., Donnellan, A., Turcotte, D. L., Klein, W., & Saylor, C. (2021). The complex dynamics of earthquake fault systems: New approaches to forecasting and nowcasting of earthquakes. Reports on progress in physics, 84(7), 076801. https://doi.org/10.1088/1361-6633/abf893
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