CAN CORRELATIONS BE AN EVIDENCE, THAT CHANGES IN THE COUNT RATE OF RADIOACTIVE DECAY SIGNALS ARE DUE TO CHANGES IN TEMPERATURE?

Zelenskyi Oleg
STE “Central enterprise for radioactive waste management”, Chornobyl, Kyiv obl., Ukraine
https://orcid.org/

Skorbun Anatolii

https://orcid.org/0000-0001-8586-5713

Sploshnoi Borys
STE “Central enterprise for radioactive waste management”, Chornobyl, Kyiv obl., Ukraine
https://orcid.org/

Shevchenko Oleksii
Ukrainian Hydrometeorological Institute of the State Emergency Service of Ukraine and the National Academy of Sciences of Ukraine, Kyiv, Ukraine
https://orcid.org/0000-0002-5791-5354

Shpyg Vitalii Mykhailovych
Ukrainian Hydrometeorological Institute of the State Emergency Service of Ukraine and the National Academy of Sciences of Ukraine
https://orcid.org/0000-0003-1055-7120

DOI: http://doi.org/10.15407/Meteorology2023.03.054

Keywords: radioactive background, temperature, correlation

Abstract

In recent years, there has been a debate in the scientific literature about the possibility of variability in the rate of radioactive decay under the influence of external factors, as evidenced by separate experiments. However, since such effects are in sharp conflict with the basic principles of nuclear physics, there is also a strong criticism, which converges to that all such experiments are incorrect. At the same time, one way or another, everything converges to that the observed effects are the result of the response of the measurement equipment to external weather conditions, that is, caused by changes in temperature, humidity, etc. And these effects are not changes of the actual measured physical quantity. In this work, the possibility of influence of such a factor as temperature is carefully considered. A correlation was found between regular series of measurements of temperature and gamma background level in the exclusion zone of the Chornobyl nuclear power plant, which is contaminated by fuel fallouts from the destroyed power unit. The assumption was made regarding the mechanism of formation of features in gamma background signals. The revealed relation may indicate the existence of a common global factor (cause) of the variability of the gamma background signals and temperature, which should be sought beyond trivial assumptions about the influence of meteorological conditions on the operation of the equipment.

References

1. Astafieva, N. M. (1996). Wavelet analysis: fundamentals of theory and examples of application. UFN. 166. # 11. P. 1145–1170.

2. Berry, B. L. (2015). Spatio-temporal oscillations of the Universe and new trends in Earth sciences. Space and time. # 3(21). P. 258-269.

3. Kobzystyi P.I. Peculiarities of synoptic processes in Ukraine: Training manual. Kyiv: Publishing Center 'Kyiv University', 2002. 149 p.

4. Kobzystyi P.I., Shcherban I.M. Basics of synoptic meteorology: Training manual. Kyiv: Publishing Center 'Kyiv University',2006. 115 p.

5. Panchelyuga, V.A., Panchelyuga, M.S. (2014). Some preliminary results of local fractal analysis of noise-like time series by the method of all combinations. Hypercomplex numbers in geometry and physics, 11(1), #21, P. 134-156.

6. Panchelyuga, V.A., Panchelyuga, M.S. (2015). Local fractal analysis of noise-like time series by the method of all combinations in the period range of 1–115 minutes. Biophysics, 60, 2(21), P. 395–410.

7. Parkhomov, A.G., Maklyaev, E.F. (2004). Investigation of rhythms and fluctuations during long-term measurements of radioactivity, frequency of quartz resonators, semiconductor noise, temperature and atmospheric pressure. Physical thought of Russia, #.1, 1.

8. Protsenko G.D. Meteorology and climatology: Training manual. Kyiv: 2007. 265 p.

9. Sidorenko, V.V., Kuznetsov, Yu.A., Ovodenko, A.A. (1984). Ionizing radiation detectors on ships. Directory. Leningrad, Shipbuilding, P. 74-76.

10. Skorbun, A.D., Kuchmagra, O.A., Solid, B.M., Doroshenko, A.O. (2019). Periodicities in the signals of long-term measurements of the gamma background in the Chernobyl exclusion zone. Nuclear Power and the Environment. #2 (14). P. 60-67.

11. Baurov Yu.A., Sobolev Yu.G., Kushniruk V.F. Kuznetsov E.A., Konradov A.A. Experimental investigation of changes in β-decay count rate of radioactive elements.

arXiv:hep-ex/9907008

12. Baurov Yu.A., Sobolev Y. G., Ryabov Y.V. (2014). New force, global anisotropy and the changes in β-decay rate of radioactive elements. American Journal of Astronomy and Astrophysics. 2(6-1), – Р. 8-19. Published online October 28, 2014. (http://www.sciencepublishinggroup.com/j/ajaa) doi: 10.11648/j.ajaa.s.2014020601.12

13. Baurov Yu. A. (2004). Global Anisotropy of Physical Space. Experimental and Theoretical Basis. Nova Science, NY, 166 pages.

14. Berkovich S. Calendar variations in the phenomena of Natureand the apparition of two Higgs bosons. https://www2.seas.gwu.edu/~berkov/Berkovich_Calendar_Effect_ modified.pdf.

15. Berry B.L. (1998). 'Regularities of Natural Cycles, Predictions of Climate and Surface Conditions.' Hydrol. Process 12: 2267–2278.

16. Berry B.L. (2010). 'Helio-geophysical and Other Processes, Periods of Their Oscillations and Forecasts.' Geophysical Processes and Biosphere. 9.4: 21–66.

17. Berry B.L. (2011). 'Helio-geophysical and Other Natural Processes, Periods of Their Oscillations, and Forecasts 1.' Izvestiya Atmospheric and Oceanic Physics, 47.7: 54–86.

18. Cahill R.T. (2014). Solar flare five-day predictions from quantum detectors of dynamical Space fractal flow turbulence: gravitational wave diminution and Earth climate cooling. Progress in Physics, V. 10, issue 4 (October), P. 236-242.

19. Doroshenko A., Shpyg V., Budak I., Huda K. Numerical atmospheric models and their application in different areas of economics [In: Kvasniy L. and Tatomyr I. (eds) Ukraine in the context of global and national modern servisation processes and digital economy]: monograph. Praha: Oktan Print, 2020. P. 155-171. https://doi.org/10.46489/UITCOG0909

20. Milián-Sánchez V., Scholkmann F., Fernández de Córdoba P. et al. (2020). Fluctuations in measured radioactive decay rates inside a modified Faraday cage: Correlations with space weather. Sci Rep. 10, 8525 https://doi.org/10.1038/s41598-020-64497-0

21. Pommé S. (2019). Solar influence on radon decay rates: irradiance or neutrinos? Eur. Phys. J. C. 79:73 https://doi.org/10.1140/epjc/s10052-019-6597-7.

22. Rokityansky I.I. (1999). Phenomenon of quasi-spontaneous globally synchronized variations of physical parameters (QSV). Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy. V. 24, Issue 8. Р. 705-710.

23. Shnoll S. E. (2012). Cosmophysical Factors in Stochastic Processes. American Research Press, Rehoboth, NM, USA, 430.

24. Shnoll S. E. (2014). On the Cosmophysical Origin of Random Processes. Open Letter to the Scientific Community on the Basis of Experimental Results Obtained During 1954–2014. PROGRESS IN PHYSICS Volume 10, Issue 4 (October). LETTERS TO PROGRESS IN PHYSICS.

25. Scholkmann F., Steinitz G., Piatibratova O., Kotlarsky P. (2018). Diurnal oscillations in radon decay data from a long-term (3.5 year) directional Enhanced Confined Mode (ECM) experiment: New insights into possible extra-terrestrial influences. 20th EGU General Assembly, EGU2018, Proceedings from the conference held 4-13 April, Vienna, Austria, p.3308. 2018EGUGA.20.3308S

26. Steinitz G, Piatibratova O., Kotlarsky P. (2011). Possible effect of solar tides on radon signals. Journal of Environmental Radioactivity. V. 102, 8, P. 749-765

27. Steinitz G., Piatibratova O., Kotlarsky P. (2014). Sub-daily periodic radon signals in a confined radon system. Journal of Environmental Radioactivity. V. 134, P. 128-135

28. Sturrock P.A., Steinitz G., Fischbach E., Parkhomov A., Scargle J.D. (2016). Analysis of beta-decay data acquired at the Physikalisch-Technische Bundesanstalt: evidence of a solar influence. Astropart. Phys. 84: 8–14. https://doi.org/10.1016/j.astropartphys.2016.07.005

29. Steinitz G, Kotlarsky P, Piatibratova O. (2018). Radon signals in geological (natural) geogas and in a simultaneous enhanced confined mode simulation experiment. Proc Math Phys Eng Sci 474:2216. https://doi.org/10.1098/rspa.2017.0787

30. Sturrock PA, Steinitz G, Fischbach E. (2018). Analysis of gamma radiation from a radon source: II. Indications of influences of both solar and cosmic neutrinos. Astropart Phys, V. 100 P. 1–12. https://doi.org/10.1016/j.astropartphys.2018.02.003

31. Steinitz G., Sturrock P., Fischbach E, Piatibratova O. (2018). Indications for non-terrestrial influences on radon signals from a multi-year enhanced confined experiment. Earth and Space Science Open Archive. https://www.essoar.org/doi/abs/10.1002/essoar.a0e6de6afdf78d90. 905b86c97fa74b0c.1

32. Sturrock P. A., Fischbach, E., Piatibratova, O., Steinitz, G., Scholkmann F. An Oscillation Evident in Both Solar Neutrino Data and Radon Decay Data. arXiv:1907.11749.

33. Sturrock P.A., Fischbach E., Piatibratova O., Scholkmann F. (2021). Possible Indications of Variations in the Directionality of Beta-Decay Products. Front. Phys., 19. Sec. Nuclear Physics. https://doi.org/10.3389/fphy.2020.584101

34. Sturrock P.A., Piatibratova O. and Scholkman F. (2021). Comparative Analysis of Super-Kamiokande Solar Neutrino Measurements and Geological Survey of Israel Radon Decay Measurements. Front. Phys., 18. Sec. Stellar and Solar Physics https://doi.org/10.3389/fphy.2021.71

35. Sturrock P.A. (2022). Neutrino-Flux Variability, Nuclear-Decay Variability, and Their Apparent Relationship. Space Sci Rev. 218, 23. https://doi.org/10.1007/s11214-022-00878-3

36. Shevchenko A.L., Charnyi D.V., Akinfiev G.A. and Kireev S.I. (2016). Factors Governing Strontium-90 export with surface runoff in the Chernobyl NPP Restricted Zone. Water Resources. V. 43. №3. P. 522-532. https://doi.org/10.1134/S0097807816010127

About ׀ Editorial board ׀ Ethics ׀ For authors ׀ For reviewers ׀ Archive ׀ Contacts