Reliability of focal mechanism determination

Summary The fault plane solution determined by means of a computer algorithm, correlating the radiation pattern with the distribution of observations, was investigated from the point of view of its reliability. The maximum of the correlation function R corresponds to the optimum solution found by the computer. If the families of nodal lines fitting the decreased correlation function R —dR retain the character of the optimum solution even whendR increases, we assume that the solution has been determined with a sufficient accuracy.     

Hydrogeochemistry of a deep gas-storage cavern,Czech Republic

Groundwater was occasionally found during the construction of a deep gas-storage cavern at approximately 1 km below land surface near Pribram, Czech Republic. The individual groundwater seeps, with a discharge not exceeding 0.01 l/s and T?=?23°C, were usually a strongly alkali natural solution with maximum pH values of 9.9 and TDS concentrations from 0.2 to 0.86 g/l; Na⁺, \({\text{HCO}}^{ - }_{3}\), and Cl^? ions were the major dissolved chemical constituents. Two main groundwater quality groups were defined: Na–Cl and Na–HCO₃. Based on the stable isotope (¹⁸O/¹⁶O, D/H), tritium and radiocarbon analyses, some groundwater originated from rainwater infiltrating during the Upper Pleistocene Epoch. Strontium in the groundwater of the crystalline aquifer was isotopically homogenous and equilibrates with strontium in the granite and granodiorite of the gas-storage cavern. Based on the information, the deep groundwater seeps were associated with slow or ‘stagnant’ groundwater circulation, without direct relation to the recent groundwater of faster circulation near the surface, which is periodically recharged by precipitation. The results of the water-quality monitoring of the deep groundwater seeps have been used in estimating the insulating properties of the neighboring rocks near the gas-storage cavern. This information will be important in the safe operation of the gas-storage cavern.     

Multi-Scale Gaussian Normalization for Solar Image Processing

Extreme ultra-violet images of the corona contain information over a wide range of spatial scales, and different structures such as active regions, quiet Sun, and filament channels contain information at very different brightness regimes. Processing of these images is important to reveal information, often hidden within the data, without introducing artefacts or bias. It is also important that any process be computationally efficient, particularly given the fine spatial and temporal resolution of Atmospheric Imaging Assembly on the Solar Dynamics Observatory (AIA/SDO), and consideration of future higher resolution observations. A very efficient process is described here, which is based on localised normalising of the data at many different spatial scales. The method reveals information at the finest scales whilst maintaining enough of the larger-scale information to provide context. It also intrinsically flattens noisy regions and can reveal structure in off-limb regions out to the edge of the field of view. We also applied the method successfully to a white-light coronagraph observation.     

Eclipsing Binaries with Possible Light-Time Effect

The period changes of six eclipsing binaries have been studied with focus on the light-time effect. With the least squares method we also calculated parameters of such an effect and properties of the unresolved body in these systems. With these results we discussed the probability of presence of such bodies in the systems with respect to possible confirmation by another method. In two systems we also suggested the hypothesis of fourth body or magnetic activity for explanation of the "second-order variability" after subtraction of the light-time effect of the third body.