Temperature effect of muon component and practical questions of how to take into account in real time

Berkova, M. D.; Белов, А. В.; Eroshenko, E. A.; Yanke, V. G.

doi:10.5194/astra-8-41-2012

Cited by 13 publications

(12 citation statements)

References 6 publications

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“…As indicated in the text aforementioned one reason for the Yakutsk (ASK-1) ionization data trend could be a drift in the measurement instrument. Berkova et al (2008) noticed the same trend in this data. They doubt that there could be a drift of the pressure gauge after 1995.…”

Section: Discussionsupporting

confidence: 81%

Changes in cosmic ray fluxes improve correlation to global warming

Ollila¹

2012

Int. J. Phys. Sci.

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In this study, it was found out that ion chamber measurements of cosmic ray fluxes during the last solar cycle ending in 2009 differ essentially from neutron measurements. The ion chamber measurements utilizing geomagnetic aa index as proxy for the years between 1868 and 1936 produced excellent correlation to the global temperature changes for the period of 1868 to 2009. These results indicate that solar activity changes may cause climate changes.

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Section: Discussionsupporting

confidence: 81%

Changes in cosmic ray fluxes improve correlation to global warming

Ollila¹

2012

Int. J. Phys. Sci.

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“…The GFS model's data were used in the temperature effect analysis for the MuSTAnG telescope in previous work (Ganeva et al 2013). The use of this data allows us to calculate the temperature effect in real time (Berkova et al 2012).…”

Section: Methodsmentioning

confidence: 99%

Atmospheric effect corrections of MuSTAnG data

Zazyan

Ganeva

Berkova

et al. 2015

J. Space Weather Space Clim.

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The atmospheric effect correction of the muon flux measured by ground level telescopes is of special importance for further study of cosmic ray variations. The Duperier method is used to correct atmospheric effects on the muon intensity observed by the MuSTAnG telescope. Linear multiple correlation and regression analysis are applied to the data registered during the year 2009. The aerological data are obtained from daily radiosonde balloon flights of Deutscher Wetterdienst. The regression coefficients and total correlation coefficients are calculated for all directional channels. The seasonal variations are eliminated from the MuSTAnG telescope data. The results are compared with theoretical elimination of temperature variations.

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“…This method or its variations were used by Ambrosio et al [1997], Yanchukovsky et al [2007], Berkova et al [2008], Adamson et al [2010], and Berkova et al [2011]. [7] In this paper, we compare cosmic ray time variations observed by CARPET detector with atmospheric pressure and temperature changes.…”

Section: Introductionmentioning

confidence: 99%

“…where (ΔI/I) T is the normalized deviation of the cosmic ray intensity related with the temperature effect at the atmospheric pressure p, ΔT(x) is the temperature deviation for this atmospheric pressure x, a(x) is the temperature coefficient at this same atmospheric pressure. This method or its variations were used by Ambrosio et al [1997], Yanchukovsky et al [2007], Berkova et al [2008], Adamson et al [2010], and Berkova et al [2011].…”

Section: Introductionmentioning

confidence: 99%

Analysis of atmospheric pressure and temperature effects on cosmic ray measurements

et al. 2013

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[1] In this paper, we analyze atmospheric pressure and temperature effects on the records of the cosmic ray detector CARPET. This detector has monitored secondary cosmic ray intensity since 2006 at Complejo Astronómico El Leoncito (San Juan, Argentina, 31 S, 69 W, 2550 m over sea level) where the geomagnetic rigidity cutoff, R c , is~9.8 GV. From the correlation between atmospheric pressure deviations and relative cosmic ray variations, we obtain a barometric coefficient of -0.44 AE 0.01 %/hPa. Once the data are corrected for atmospheric pressure, they are used to analyze temperature effects using four methods. Three methods are based on the surface temperature and the temperature at the altitude of maximum production of secondary cosmic rays. The fourth method, the integral method, takes into account the temperature height profile between 14 and 111 km above Complejo Astronómico El Leoncito. The results obtained from these four methods are compared on different time scales from seasonal time variations to scales related to the solar activity cycle. Our conclusion is that the integral method leads to better results to remove the temperature effect of the cosmic ray intensity observed at ground level.

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Temperature effect of muon component and practical questions of how to take into account in real time

Abstract: A method has been developed to correct in real-time the cosmic ray (CR) muon component, observed by the muon telescopes of different geometry, for temperature effect

Cited by 13 publications

References 6 publications

Changes in cosmic ray fluxes improve correlation to global warming

Changes in cosmic ray fluxes improve correlation to global warming

Atmospheric effect corrections of MuSTAnG data

Analysis of atmospheric pressure and temperature effects on cosmic ray measurements

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