Temperature effect of the muon component and practical questions for considering it in real time

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

doi:10.3103/s1062873811060086

Cited by 23 publications

(13 citation statements)

References 6 publications

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“…We analyzed the combination of the ATE and MMP methods, which is generally referred to as the Effective Level of Generation Method according to Berkova et al (2011). In this paper, for simplicity, we use the term ATE+MMP.…”

Section: The Grd Ate and Mmp Methods Combinations (Grd +Mmp And Ate+mmp)mentioning

confidence: 99%

“…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 simplest methods consist of the comparison of the cosmic ray intensity with: surface temperature changes, the variation of the altitude of maximum muon production (MMP), or the temperature variation at this altitude (Blackett 1938;Hess 1940;Duperier 1949;Trefall 1955a;French & Chasson 1959;Okazaki et al 2008;De Mendonça et al 2013). There are also methods that consider the temperature variation along the entire atmosphere through empirical or theoretical analyses (Sagisaka 1986;Dorman 2004;Berkova et al 2011;De Mendonça et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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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 Grd Ate and Mmp Methods Combinations (Grd +Mmp And Ate+mmp)mentioning

confidence: 99%

Section: The Mass Weighted (Mss) Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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%

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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“…The meteorological effects of such detectors have their own unique features that have yet to be investigated. The authors of [1] discovered the abnormally high (several times greater than the one expected) temperature effect of the muon component registered by the high mountain YangBaJing telescope. This work discusses the reasons for such a difference, and the inverse instrument problem for experimentally determining the density of the temperature coefficient is solved.…”

Section: Introductionmentioning

confidence: 95%

Meteorological effects of muon component at the mountain muon detectors.

Pustil'Nik¹,

Berkova²,

Osipenko³

et al. 2016

Proceedings of the 34th International Cosmic Ray Conference — PoS(ICRC2015)

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Temperature effect of the muon component and practical questions for considering it in real time

Cited by 23 publications

References 6 publications

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

Meteorological effects of muon component at the mountain muon detectors.

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