Correlation Between Cosmic-Ray Intensity at Cheltenham and the Air Temperatures and Pressures for 1939

1941 ◽  
Vol 59 (3) ◽  
pp. 233-237 ◽  
Author(s):  
Niel F. Beardsley
Keyword(s):  
Cosmic Ray ◽  
Cosmic Ray Intensity ◽  
Air Temperatures

Solar-cycle phenomena in cosmic-ray intensity: Differences between even and odd cycles

1988 ◽  
Vol 42 (3) ◽  
pp. 233-244 ◽  
Author(s):  
H. Mavromichalaki ◽  
E. Marmatsouri ◽  
A. Vassilaki
Keyword(s):  
Solar Cycle ◽  
Cosmic Ray ◽  
Cosmic Ray Intensity ◽  
Odd Cycles

Solar Magnetic Moment and Diurnal Variation in Cosmic-Ray Intensity

1954 ◽  
Vol 93 (3) ◽  
pp. 551-553 ◽  
Author(s):  
J. Firor ◽  
F. Jory ◽  
S. B. Treiman
Keyword(s):  
Diurnal Variation ◽  
Magnetic Moment ◽  
Cosmic Ray ◽  
Cosmic Ray Intensity

A two-way sidereal anisotropy

1968 ◽  
Vol 46 (10) ◽  
pp. S611-S613 ◽  
Author(s):  
K. Nagashima ◽  
H. Ueno ◽  
S. Mori ◽  
S. Sagisaka
Keyword(s):  
Time Variation ◽  
Cosmic Ray ◽  
Sidereal Time ◽  
Cosmic Ray Intensity ◽  
Data Support ◽  
Ion Chambers ◽  
Using Data ◽  
Sidereal Anisotropy

The sidereal time variation is analyzed using data for the ion chambers at Cheltenham and Christchurch for the period 1938–58 and for the meson and neutron components during the IGY. All the results derived from these three kinds of data support the existence of a two-way sidereal anisotropy, suggested by Jacklyn, which has two maxima of the cosmic-ray intensity in the directions of 8 h and 20 h S.T. (sidereal time).

scholarly journals Analysis of the Cosmic Ray Effects on Sentinel-1 SAR Satellite Data

Aerospace ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 62
Author(s):  
Hakan Köksal ◽  
Nusret Demir ◽  
Ali Kilcik
Keyword(s):  
Count Data ◽  
Communication Systems ◽  
Pearson Correlation ◽  
Cosmic Ray ◽  
Electronic System ◽  
Google Earth ◽  
Space Environment ◽  
Cosmic Ray Intensity ◽  
Radiation Sources ◽  
Ray Effects

Ionizing radiation sources such as Solar Energetic Particles and Galactic Cosmic Radiation may cause unexpected errors in imaging and communication systems of satellites in the Space environment, as reported in the previous literature. In this study, the temporal variation of the speckle values on Sentinel 1 satellite images were compared with the cosmic ray intensity/count data, to analyze the effects which may occur in the electromagnetic wave signals or electronic system. Sentinel 1 Synthetic Aperture Radar (SAR) images nearby to the cosmic ray stations and acquired between January 2015 and December 2019 were processed. The median values of the differences between speckle filtered and original image were calculated on Google Earth Engine Platform per month. The monthly median “noise” values were compared with the cosmic ray intensity/count data acquired from the stations. Eight selected stations’ data show that there are significant correlations between cosmic ray intensities and the speckle amounts. The Pearson correlation values vary between 0.62 and 0.78 for the relevant stations.

The results of simultaneous measurements of the cosmic-ray intensity over the Antarctic and Arctic

1968 ◽  
Vol 46 (10) ◽  
pp. S823-S824
Author(s):  
S. N. Vernov ◽  
A. N. Charakhchyan ◽  
T. N. Charakhchyan ◽  
Yu. J. Stozhkov
Keyword(s):  
Cosmic Rays ◽  
Temperature Effects ◽  
Cosmic Ray ◽  
Primary Component ◽  
Low Energy ◽  
Cosmic Ray Intensity ◽  
Simultaneous Measurements ◽  
Murmansk Region ◽  
The Antarctic

The results of the analysis of data obtained from measurements carried out by means of regular stratospheric launchings of cosmic-ray radiosondes over the Murmansk region and the Antarctic observatory in Mirny in 1963–66 are presented. The problem of the anisotropy of the primary component of low-energy cosmic rays and of temperature effects on the cosmic-ray intensity in the atmosphere are discussed.

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