Atmospheric variations in muon intensity for different zenith angles

Yanchukovsky, V. L.; Filimonov, G. Ya.; Hisamov, R. Z.

doi:10.3103/s106287380707043x

Cited by 11 publications

(9 citation statements)

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“…This method was developed by an approximation of the THR method and it has been used in some studies (Yanchukovsky et al 2007;Berkova et al 2011). In the MSS method, we can write the muon intensity variation due to the temperature effect (DI T ) as: x h n 1 is equal to zero.…”

Section: The Mass Weighted (Mss) Methodsmentioning

confidence: 99%

The Temperature Effect in Secondary Cosmic Rays (Muons) Observed at the Ground: Analysis of the Global Muon Detector Network Data

Mendonça

Braga

Echer

et al. 2016

ApJ

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The analysis of cosmic ray intensity variation seen by muon detectors at Earthʼs surface can help us to understand astrophysical, solar, interplanetary and geomagnetic phenomena. However, before comparing cosmic ray intensity variations with extraterrestrial phenomena, it is necessary to take into account atmospheric effects such as the temperature effect. In this work, we analyzed this effect on the Global Muon Detector Network (GMDN), which is composed of four ground-based detectors, two in the northern hemisphere and two in the southern hemisphere. In general, we found a higher temperature influence on detectors located in the northern hemisphere. Besides that, we noticed that the seasonal temperature variation observed at the ground and at the altitude of maximum muon production are in antiphase for all GMDN locations (low-latitude regions). In this way, contrary to what is expected in high-latitude regions, the ground muon intensity decrease occurring during summertime would be related to both parts of the temperature effect (the negative and the positive). We analyzed several methods to describe the temperature effect on cosmic ray intensity. We found that the mass weighted method is the one that best reproduces the seasonal cosmic ray variation observed by the GMDN detectors and allows the highest correlation with long-term variation of the cosmic ray intensity seen by neutron monitors.

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Section: The Mass Weighted (Mss) Methodsmentioning

confidence: 99%

The Temperature Effect in Secondary Cosmic Rays (Muons) Observed at the Ground: Analysis of the Global Muon Detector Network Data

Mendonça

Braga

Echer

et al. 2016

ApJ

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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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“…Here the temperature within each layer is assumed to possess some average value * n T , skin L -surface layer number. It was first noted in the work [11] and was used in a number of next works [5,6,12]. For the mass-average temperature calculation the atmospheric sounding data are required.…”

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confidence: 99%

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

Berkova

Белов

Eroshenko

et al. 2012

Astrophys. Space Sci. Trans.

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Atmospheric variations in muon intensity for different zenith angles

Cited by 11 publications

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The Temperature Effect in Secondary Cosmic Rays (Muons) Observed at the Ground: Analysis of the Global Muon Detector Network Data

The Temperature Effect in Secondary Cosmic Rays (Muons) Observed at the Ground: Analysis of the Global Muon Detector Network Data

Analysis of atmospheric pressure and temperature effects on cosmic ray measurements

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

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