147 research outputs found
Modelling variability of solar activity cycles
Context. Solar activity cycles vary in amplitude and duration. The variations
can be at least partly explained by fluctuations in dynamo parameters. Aims. We
want to restrict uncertainty in fluctuating dynamo parameters and find out
which properties of the fluctuations control the amplitudes of the magnetic
field and energy in variable dynamo cycles. Methods. A flux-transport model for
the solar dynamo with fluctuations of the Babcock-Leighton type -effect
was applied to generate statistics of magnetic cycles for our purposes. The
statistics were compared with data on solar cycle periods to restrict the
correlation time of dynamo fluctuations. Results. A characteristic time of
fluctuations in the -effect is estimated to be close to the solar
rotation period. The fluctuations produce asymmetry between the times of rise
and descent of dynamo cycles, the rise time being on average shorter. The
affect of the fluctuations on cycle amplitudes depends on the phase of the
cycle in which the fluctuations occur. Negative fluctuations (decrease in
) in the rise phase delay decay of poloidal field and increase the
cycle amplitude in toroidal field and magnetic energy. Negative fluctuation in
the decline phase reduces the polar field at the end of a cycle and the
amplitude of the next cycle. The low amplitude of the 24th solar cycle compared
to the preceding 23rd cycle can be explained by this effect. Positive
fluctuations in the descent phase enhance the magnetic energy of the next cycle
by increasing the seed poloidal field for the next cycle. The statistics of the
computed energies of the cycles suggest that superflares of erg
are not possible on the Sun.Comment: 8 pages, 11 figures, A&A (accepted
ΠΠ°ΠΏΡΠ°Π²Π»ΡΠ΅ΠΌΡΠΉ ΡΠ²ΠΎΠΉΡΡΠ²ΠΎΠΌ ΠΏΠΎΠΈΡΠΊ ΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΡΡ ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΠΎΠ²
Property Directed Reachability (PDR) is an efficient and scalable approach to solving systems of symbolic constraints also known as Constrained Horn Clauses (CHC). In the case of non-linear CHCs, which may arise, e.g., from relational verification tasks, PDR aims to infer an inductive invariant for each uninterpreted predicate. However, in many practical cases this reasoning is not successful, as invariants should be derived for groups of predicates instead of individual predicates. The article describes a novel algorithm that identifies these groups automatically and complements the existing PDR technique. The key feature of the algorithm is that it does not require a possibly expensive synchronization transformation over the system of CHCs. We have implemented the algorithm on top of a up-to-date CHC solver Spacer. Our experimental evaluation shows that for some CHC systems, on which existing solvers diverge, our tool is able to discover relational invariants.ΠΠΎΡΡΠΈΠΆΠΈΠΌΠΎΡΡΡ, Π½Π°ΠΏΡΠ°Π²Π»ΡΠ΅ΠΌΠ°Ρ ΡΠ²ΠΎΠΉΡΡΠ²ΠΎΠΌ, (Property Directed Reachability, PDR) β ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ ΠΈ ΠΌΠ°ΡΡΡΠ°Π±ΠΈΡΡΠ΅ΠΌΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌ ΡΠΈΠΌΠ²ΠΎΠ»ΡΠ½ΡΡ
ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΠΉ, ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
ΠΊΠ°ΠΊ Π΄ΠΈΠ·ΡΡΠ½ΠΊΡΡ Π₯ΠΎΡΠ½Π° Ρ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡΠΌΠΈ (Constrained Horn Clauses, CHC). Π ΡΠ»ΡΡΠ°Π΅ Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ Π΄ΠΈΠ·ΡΡΠ½ΠΊΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΡΡΡ, ΠΊ ΠΏΡΠΈΠΌΠ΅ΡΡ, ΠΈΠ· Π·Π°Π΄Π°Ρ ΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΠΎΠΉ Π²Π΅ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ, PDR Π²ΡΠ²ΠΎΠ΄ΠΈΡ ΠΈΠ½Π΄ΡΠΊΡΠΈΠ²Π½ΡΠ΅ ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΡ Π΄Π»Ρ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ Π½Π΅ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΠΈΠΊΠ°ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΠΌΠ²ΠΎΠ»Π°. Π’Π΅ΠΌ Π½Π΅ ΠΌΠ΅Π½Π΅Π΅ Π½Π° ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π²ΡΠ²ΠΎΠ΄ ΡΠ°ΠΊΠΈΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ Π½Π΅ ΡΠ΄Π°ΡΡΡΡ, Ρ.ΠΊ. ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΡ Π΄ΠΎΠ»ΠΆΠ½Ρ Π²ΡΠ²ΠΎΠ΄ΠΈΡΡΡΡ Π΄Π»Ρ Π³ΡΡΠΏΠΏ ΠΏΡΠ΅Π΄ΠΈΠΊΠ°ΡΠ½ΡΡ
ΡΠΈΠΌΠ²ΠΎΠ»ΠΎΠ² Π²ΠΌΠ΅ΡΡΠΎ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΡ
ΠΏΡΠ΅Π΄ΠΈΠΊΠ°ΡΠ½ΡΡ
ΡΠΈΠΌΠ²ΠΎΠ»ΠΎΠ². Π ΡΡΠ°ΡΡΠ΅ ΠΎΠΏΠΈΡΠ°Π½ Π½ΠΎΠ²ΡΠΉ Π°Π»Π³ΠΎΡΠΈΡΠΌ, Π°Π²ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΠΈΠΉ ΡΠ°ΠΊΠΈΠ΅ Π³ΡΡΠΏΠΏΡ ΠΈ ΠΎΠ±ΠΎΠ±ΡΠ°ΡΡΠΈΠΉ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ PDR. ΠΠ»ΡΡΠ΅Π²Π°Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΡΠΎΡΡΠΎΠΈΡ Π² ΡΠΎΠΌ, ΡΡΠΎ ΠΎΠ½ Π½Π΅ ΡΡΠ΅Π±ΡΠ΅Ρ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ Π΄ΠΎΡΠΎΠ³ΠΎΠΉ ΡΠΈΠ½Ρ
ΡΠΎΠ½ΠΈΠ·ΠΈΡΡΡΡΠ΅ΠΉ ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌΡ Π΄ΠΈΠ·ΡΡΠ½ΠΊΡΠΎΠ² Π₯ΠΎΡΠ½Π°. ΠΠ»Π³ΠΎΡΠΈΡΠΌ Π±ΡΠ» ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ Π½Π°Π΄ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠΌ ΡΠ΅ΡΠ°ΡΠ΅Π»Π΅ΠΌ Π΄ΠΈΠ·ΡΡΠ½ΠΊΡΠΎΠ² Π₯ΠΎΡΠ½Π° Spacer. ΠΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΡ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ, ΡΡΠΎ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½Π°Ρ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΡ ΡΡΠΏΠ΅ΡΠ½ΠΎ Π²ΡΠ²ΠΎΠ΄ΠΈΡ ΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΡΠ΅ ΠΈΠ½Π²Π°ΡΠΈΠ°Π½ΡΡ Π΄Π»Ρ Π½Π΅ΠΊΠΎΡΠΎΡΡΡ
ΡΠΈΡΡΠ΅ΠΌ Π΄ΠΈΠ·ΡΡΠ½ΠΊΡΠΎΠ², Π½Π° ΠΊΠΎΡΠΎΡΡΡ
ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠΈΠ΅ ΡΠ΅ΡΠ°ΡΠ΅Π»ΠΈ Π½Π΅ Π·Π°Π²Π΅ΡΡΠ°ΡΡΡΡ
CYBERCRIME IN RUSSIA: CURRENT CHALLENGES AND GOOD PRACTICES IN COMBATING CYBERCRIME
Globalization and the rapid development of computer and IT technologies have led to the emergence of a new type of offence β cybercrime. This concept has not yet been legislated, and there is a problem of classiο¬cation of crimes committed in cyberspace. The authors offer an analysis of current state of cybercrime in Russia for the last 10 years. An overview of modern countermeasures of cybercrime in Russia and abroad is presented. Some recommendations for ensuring corporate cyber security and promising areas of research are outlined
Transport coefficients of He+ ions in helium
Recent theoretical advances have made it possible to calculate ab initio interaction potentials for atomic ionatom collisions that are highly accurate, and to use the potentials to calculate gaseous ion transport coefficients that meet or exceed the accuracy with which they can be measured1-4. Hence gaseous ion transport data serve as stringent tests of the interaction potentials. Advances in the calculation of transport properties, unfortunately, have not included the situation where atomic ions move through their parent gases, where resonant charge transfer (RCT) can occur. The purpose of this paper is to fill this void
Influence of El NiΓ±o on parameters of the middle and upper atmosphere over Eastern Siberia according to reanalysis and model data in winter
One of the most important climate-forming phenomena in the oceanβatmosphere system is the El NiΓ±o Southern Oscillation (ENSO) events, which manifest themselves with varying intensity in almost all regions of the globe. The central regions of Eurasia are farthest from the tropics of the Pacific Ocean, the regions where ENSO originates. There are different points of view regarding the nature of the ENSO effect on these regions. In the presented work, the influence of ENSO on the upper atmosphere of the Northern Hemisphere and, in particular, on the upper atmosphere of Eastern Siberia is estimated using model calculations and reanalysis data. The results of the analysis show that the large-scale structures of the atmospheric response to the ENSO events in the Northern Hemisphere are similar according to modeling and reanalysis, yet the regions of Eastern Siberia are on the periphery of the main signal and there are significant differences in estimated effects from one case of El NiΓ±o and La NiΓ±a to another. In January, ENSO has the greatest impact on the middle atmosphere of the polar regions of the Northern Hemisphere. Over Eurasia and Eastern Siberia, the atmospheric response to the ENSO events turned out to be weak or absent
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