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Deriving the solar activity cycle modulation on cosmic ray intensity observed by Nagoya muon detector from October 1970 until December 2012 (1908.00395v1)

Published 1 Aug 2019 in physics.space-ph

Abstract: It is well known that the cosmic ray intensity observed at the Earth's surface presents an 11 and 22-yr variations associated with the solar activity cycle. However, the observation and analysis of this modulation through ground muon detectors data is make difficult due to the temperature effect. Furthermore, detector electronic changes or temporary problems may difficult the analysis of these variations. In this work, we analyze the cosmic ray intensity observed since October 1970 until December 2012 by the Nagoya muon detector. We show the results obtained after analyzing all discontinuities and gaps present in this data and removing changes not related to natural phenomena. We also show the results found using the mass weighted method for eliminate the influence of atmospheric temperature changes on muon intensity observed at ground. Furthermore, we show the preliminary results of the analysis of the solar cycle modulation on the muon intensity observed for more than 40 years.

Citations (3)

Summary

  • The paper demonstrates a robust correlation (R = 0.953) between corrected cosmic ray intensity and the solar activity cycle.
  • It employs advanced temperature corrections (-0.255%/K) and cross-validates data using the McMurdo Neutron Monitor to address instrumental issues.
  • Key results bolster solar modulation theory, laying a reliable foundation for improved space weather forecasting and further research.

Analysis of Solar Activity Modulation on Cosmic Ray Intensity Using Nagoya Muon Detector Data

The paper presents a comprehensive analysis of how the solar activity cycle modulates cosmic ray intensity, utilizing data from the Nagoya muon detector collected over a period from October 1970 to December 2012. The authors, Rafael R.S. de Mendonça and colleagues, address the methodical challenges correlating cosmic ray intensity variations with solar activity, particularly focusing on the 11-year and 22-year solar cycles.

Data Collection and Methodology

The Nagoya muon detector, part of the Global Muon Detector Network (GMDN), has provided extensive data for over four decades, permitting an in-depth investigation into the cosmic rays reaching Earth. Initially, the data presented challenges due to temperature effects and instrumental discrepancies, which include discontinuities and data gaps caused by potential electronic issues or changes in detection efficiencies. The authors employ a meticulous method to identify and rectify these inconsistencies by integrating parallel data from the McMurdo Neutron Monitor and interfacing it with geomagnetic and interplanetary data such as the Dst Index and ACE spacecraft data. This approach allows the distinction between real cosmic ray variations and those artifacts introduced by non-natural phenomena or instrumental errors.

Results and Implications

Upon resolving the anomalies and adjusting for atmospheric temperature effects using a mass-weighted method with a derived temperature coefficient of -0.255%/K, the data reveals a discernible correlation between cosmic ray intensity and the solar activity cycle. The corrected Nagoya detector data shows a robust correlation (R = 0.953) with the McMurdo Neutron Monitor data, clearly tracing the modulation pattern imposed by the solar cycle. A notable anti-correlation (R = -0.746) is observed between the cosmic ray intensity and solar activity, affirming the inverse relationship predicted by solar modulation theory. This anti-correlation is stable even in periods devoid of significant data artifacts, underscoring the reliability of the findings.

Scientific Contributions and Future Directions

The paper provides credible evidence for understanding solar modulation of cosmic rays, offering a well-founded basis for further exploration of solar and cosmic interactions. By effectively removing the temperature-related distortions that often plague similar studies, the authors enhance the accuracy of long-term cosmic ray monitoring and its applications in space weather forecasting. These findings can spur future research that focuses on refining atmospheric corrections methodologies further, enhancing prediction models of cosmic ray variations supportive to space missions and satellite operations.

Overall, the research delineated in this paper contributes significantly to the filed of cosmic ray astrophysics and solar-terrestrial physics. It lays groundwork for advanced research inquiries into the predictive models that could leverage cosmic ray data in analysis of solar phenomena and their terrestrial impacts.

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