THE ROLE OF RESONANCES IN THE CAPTURE OF 8Li(p,)9Be ON THE REACTION RATE OF THE RELEVANT ASTROPHYSICAL SYNTHESIS OF 9Be

Dzhazairov-Kakhramanov, A. V.; Imambekov, O.; Karipbayeva, L.T.; Steblyakova, A.A.

doi:10.32014/2020.2518-1726.63

Cited by 1 publication

(1 citation statement)

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“…Next, we plot it along with a fit to the data. We fit the logarithm of the intensity since the intensity drops of very quickly as a function of distance from the limb [14][15]. The National Oceanic and Atmospheric Administration (NOAA) is launching and maintaining a collection of satellites called Geostationary Operational Environmental Satellites with weather forecasting services (GOES).…”

Section: Solar Data Visualizationmentioning

confidence: 99%

February 25, 2014 solar flare data analysis in SunPy

Sarsembayeva

Belisarova

Odsuren

et al. 2020

phst

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Solar flares are strong radiation bursts, whereas large clouds of solar material and magnetic fields that erupt at high speeds from the Sun are coronal mass ejections. Harmful radiation from a flare does not pass through the atmosphere of the Earth to physically impact humans on the ground, but can disrupt the atmosphere in the layer where GPS and communication signals travel. Flares generate results across the entire electromagnetic spectrum. They emit x-rays and ultraviolet radiation, which means extremely high temperatures during a flash. Radio waves mean that tiny fractions of particles are accelerated to high levels of energy. Most of the radiation is synchrotron radiation produced along magnetic field lines by electrons traveling along spiral paths. In this paper was monitored solar flare registered on February 25, 2015. This flare, which peaked at 00:49 am EDT from a sunspot called Active Region 1990 (AR1990), is classified as an X4.9-class flare. We have performed solar data analysis using the Python/SunPy tool. SunPy was chosen as the principle data analysis environment since it provides easy to use interfaces to the Virtual Solar Observatory (VSO).

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Section: Solar Data Visualizationmentioning

confidence: 99%