The x-ray experiment on-board the “astron”

This paper describes the X-ray instrumentation, its capabilities and preliminary results which have been obtained for first two months operation.     

Microorganisms and enzyme activity in permafrost after removal of long-term cold stress

Associations of immobilized microbial cells and organic-mineral complexes containing active enzymes are resistant to long-term (from tens of thousands to millions of years) effects of extremely low temperatures. This association enables the cells to restore their metabolic activity during permafrost thawing, because interactions with the heterogenous medium is made possible by the availability of active immobilized enzymes. The long-term effect of the cold probably favors an adaptational change of microbial metabolism that activates enzymes and cells during thawing.     

Monopolar structure of the Sun in between polar reversals and in Maunder Minimum

After a polar reversal in one hemisphere the Sun has two polar caps of the same sign, leaving it in a kind of monopolar state. It may take months before a polar reversal occurs in the other hemisphere. The situation may have been extreme in the Maunder Minimum where the northern hemisphere most probably did not have polar reversals during several cycles, while the southern hemisphere may have had some. This may affect the interplanetary field and thus the cosmic rays reaching the Earth. Using the relation between the Wolf number and the speed of the global magnetic field regions the yearly mean Wolf number has to exceed 40 in order to have polar reversals, hence per hemisphere we expect that it must exceed 20. This may be used to give a definition of a deep minimum.     

Longitudinal variations of geomagnetic and ionospheric parameters in the Northern Hemisphere during magnetic storms according to multi-instrument observations

We present a joint analysis of longitude-temporal variations of ionospheric and geomagnetic parameters at middle and high latitudes in the Northern Hemisphere during the two severe magnetic storms in March and June 2015 by using data from the chains of magnetometers, ionosondes and GPS/GLONASS receivers. We identify the fixed longitudinal zones where the variability of the magnetic field is consistently high or low under quiet and disturbed geomagnetic conditions. The revealed longitudinal structure of the geomagnetic field variability in quiet geomagnetic conditions is caused by the discrepancy of the geographic and magnetic poles and by the spatial anomalies of different scales in the main magnetic field of the Earth. Variations of ionospheric parameters are shown to exhibit a pronounced longitudinal inhomogeneity with changing geomagnetic conditions. This inhomogeneity is associated with the longitudinal features of background and disturbed structure of the geomagnetic field. During the recovery phase of a storm, important role in dynamics of the mid-latitude ionosphere may belong to wave-like thermospheric disturbances of molecular gas, propagating westward for several days. Therefore, it is necessary to extend the time interval for studying the ionospheric effects of strong magnetic storms by a few days after the end of the magnetospheric source influence, while the disturbed regions in the thermosphere continues moving westward and causes the electron density decrease along the trajectories of propagation.     

Model of the slot region of earth''s electron radiation belt depending on the heliospheric parameters

Relativistic electrons in the slot region of Earth's electron radiation belt are studied using CORONAS-I satellite data obtained in March–May 1994. The strong shifts of the slot latitudinal location (from L≈3 to L≈2) were found. These shifts are associated with the Earth crossing sector boundaries formed by sector corotating structures of the solar wind and interplanetary magnetic field (IMF). The quantitative analysis of the relationship between properties of the slot region and values of the solar wind and IMF parameters was undertaken. The empirical model of the slot region dynamics was developed by means of Artificial Neural Network (ANN).