26 research outputs found
Collisions and drag in debris discs with eccentric parent belts
Context: High-resolution images of circumstellar debris discs reveal
off-centred rings that indicate past or ongoing perturbation, possibly caused
by secular gravitational interaction with unseen stellar or substellar
companions. The purely dynamical aspects of this departure from radial symmetry
are well understood. However, the observed dust is subject to additional forces
and effects, most notably collisions and drag. Aims: To complement the studies
of dynamics, we therefore aim to understand how new asymmetries are created by
the addition of collisional evolution and drag forces, and existing ones
strengthened or overridden. Methods: We augmented our existing numerical code
"Analysis of Collisional Evolution" (ACE) by an azimuthal dimension, the
longitude of periapse. A set of fiducial discs with global eccentricities
ranging from 0 to 0.4 is evolved over giga-year timescales. Size distribution
and spatial variation of dust are analysed and interpreted. The basic impact of
belt eccentricity on spectral energy distributions (SEDs) and images is
discussed.
Results: We find features imposed on characteristic timescales. First,
radiation pressure defines size cutoffs that differ between periapse and
apoapse, resulting in an asymmetric halo. The differences in size distribution
make the observable asymmetry of the halo depend on wavelength. Second,
collisional equilibrium prefers smaller grains on the apastron side of the
parent belt, reducing the effect of pericentre glow and the overall asymmetry.
Third, Poynting-Robertson drag fills the region interior to an eccentric belt
such that the apastron side is more tenuous. Interpretation and prediction of
the appearance in scattered light is problematic when spatial and size
distribution are coupled.Comment: Accepted for publication in A&A, 14 pages, 16 figure
Twisted debris: how differential secular perturbations shape debris disks
Resolved images suggest that asymmetric structures are a common feature of
cold debris disks. While planets close to these disks are rarely detected,
their hidden presence and gravitational perturbations provide plausible
explanations for some of these features. To put constraints on the properties
of yet undetected planetary companions, we aim to predict what features such a
planet imprints in debris disks undergoing continuous collisional evolution. We
discuss the basic equations, analytic approximations and timescales governing
collisions, radiation pressure and secular perturbations. In addition, we
combine our numerical model of the collisional evolution of the size and
spatial distributions in debris disks with the gravitational perturbation by a
single planet. We find that the distributions of orbital elements in the disks
are strongly dependent on grain sizes. Secular precession is differential with
respect to involved semi-major axes and grain sizes. This leads to observable
differences between the big grains tracing the parent belt and the small grains
in the trailing halo. Observations at different wavelengths can be used to
constrain the properties of a possible planet.Comment: 12 pages, 7 figure
Rare and new minerals of the Tashelga-Maizaskaya zone of Gornaya Shoriya, their peculiarities and nature
Experimental One-Way Quantum Computing
Standard quantum computation is based on sequences of unitary quantum logic
gates which process qubits. The one-way quantum computer proposed by
Raussendorf and Briegel is entirely different. It has changed our understanding
of the requirements for quantum computation and more generally how we think
about quantum physics. This new model requires qubits to be initialized in a
highly-entangled cluster state. From this point, the quantum computation
proceeds by a sequence of single-qubit measurements with classical feedforward
of their outcomes. Because of the essential role of measurement a one-way
quantum computer is irreversible. In the one-way quantum computer the order and
choices of measurements determine the algorithm computed. We have
experimentally realized four-qubit cluster states encoded into the polarization
state of four photons. We fully characterize the quantum state by implementing
the first experimental four-qubit quantum state tomography. Using this cluster
state we demonstrate the feasibility of one-way quantum computing through a
universal set of one- and two-qubit operations. Finally, our implementation of
Grover's search algorithm demonstrates that one-way quantum computation is
ideally suited for such tasks.Comment: 36 pages, 6 figures, 2 table
Catalysis Research of Relevance to Carbon Management: Progress, Challenges, and Opportunities
Rare and New Minerals of the Tashelga-Maizaskaya Zone of Gornaya Shoriya, Their Peculiarities and Nature
Rare and new minerals (tashelgite, mukhinite, hibonite, goldmanite and others) discovered in the
process of geological studies of the 20th and the 21st centuries in the carbonate stratum of the Tashelga
polymetamorphic complex (R3-Rz3ts) composing the graben-syncline structure within the Kuznetsk-
Alatau shear zone in Gornaya Shoriya are described. It is shown that the unique mineralization
of skarnoids, calciphyres and metasomatites of the district is preconditioned by the processes of
metamorphism and further metasomatosis of original carbonate marine sediments contaminated by
laterite metabasite weathering products. The impact of the basic rock chemistry on the whole further
polychronic endogenous rock mineralization is traced even in such relatively closed systems of the
zone as granite pegmatites.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΡΠ΅Π΄ΠΊΠΈΠ΅ ΠΈ Π½ΠΎΠ²ΡΠ΅ ΠΌΠΈΠ½Π΅ΡΠ°Π»Ρ (ΡΠ°ΡΠ΅Π»Π³ΠΈΡ, ΠΌΡΡ
ΠΈΠ½ΠΈΡ, Ρ
ΠΈΠ±ΠΎΠ½ΠΈΡ, Π³ΠΎΠ»Π΄ΠΌΠ°Π½ΠΈΡ ΠΈ
Π΄Ρ.), ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½Π½ΡΠ΅ Π² Ρ
ΠΎΠ΄Π΅ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ XX ΠΈ XXI Π²Π΅ΠΊΠΎΠ² Π² ΠΊΠ°ΡΠ±ΠΎΠ½Π°ΡΠ½ΠΎΠΉ
ΡΠΎΠ»ΡΠ΅ Π’Π°ΡΠ΅Π»Π³ΠΈΠ½ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠ°ΠΌΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° (R3-Rz3ts), ΡΠ»Π°Π³Π°ΡΡΠ΅Π³ΠΎ Π³ΡΠ°Π±Π΅Π½-
ΡΠΈΠ½ΠΊΠ»ΠΈΠ½Π°Π»ΡΠ½ΡΡ ΡΡΡΡΠΊΡΡΡΡ Π² ΠΏΡΠ΅Π΄Π΅Π»Π°Ρ
ΠΡΠ·Π½Π΅ΡΠΊΠΎ-ΠΠ»Π°ΡΠ°ΡΡΡΠΊΠΎΠΉ ΡΠ΄Π²ΠΈΠ³ΠΎΠ²ΠΎΠΉ Π·ΠΎΠ½Ρ ΠΠΎΡΠ½ΠΎΠΉ Π¨ΠΎΡΠΈΠΈ.
ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½Π°Ρ ΠΌΠΈΠ½Π΅ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΡΠΊΠ°ΡΠ½ΠΎΠΈΠ΄ΠΎΠ², ΠΊΠ°Π»ΡΡΠΈΡΠΈΡΠΎΠ² ΠΈ ΠΌΠ΅ΡΠ°ΡΠΎΠΌΠ°ΡΠΈΡΠΎΠ² ΡΠ°ΠΉΠΎΠ½Π°
ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π° ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ ΠΌΠ΅ΡΠ°ΠΌΠΎΡΡΠΈΠ·ΠΌΠ° ΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠ΅Π³ΠΎ ΠΌΠ΅ΡΠ°ΡΠΎΠΌΠ°ΡΠΎΠ·Π° ΠΈΡΡ
ΠΎΠ΄Π½ΡΡ
ΠΊΠ°ΡΠ±ΠΎΠ½Π°ΡΠ½ΡΡ
ΠΌΠΎΡΡΠΊΠΈΡ
ΠΎΡΠ°Π΄ΠΊΠΎΠ², Π·Π°Π³ΡΡΠ·Π½Π΅Π½Π½ΡΡ
Π»Π°ΡΠ΅ΡΠΈΡΠ½ΡΠΌΠΈ ΠΏΡΠΎΠ΄ΡΠΊΡΠ°ΠΌΠΈ Π²ΡΠ²Π΅ΡΡΠΈΠ²Π°Π½ΠΈΡ ΠΌΠ΅ΡΠ°Π±Π°Π·ΠΈΡΠΎΠ².
Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Ρ
ΠΈΠΌΠΈΠ·ΠΌΠ° ΠΈΡΡ
ΠΎΠ΄Π½ΡΡ
ΠΏΠΎΡΠΎΠ΄ Π½Π° Π²ΡΡ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΡΡ ΠΏΠΎΠ»ΠΈΡ
ΡΠΎΠ½Π½ΡΡ ΡΠ½Π΄ΠΎΠ³Π΅Π½Π½ΡΡ
ΠΌΠΈΠ½Π΅ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ, Π΄Π°ΠΆΠ΅ Π² ΡΠ°ΠΊΠΈΡ
ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π·Π°ΠΌΠΊΠ½ΡΡΡΡ
ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
, ΠΊΠ°ΠΊΠΎΠ²ΡΠΌΠΈ ΡΠ²Π»ΡΡΡΡΡ
Π³ΡΠ°Π½ΠΈΡΠ½ΡΠ΅ ΠΏΠ΅Π³ΠΌΠ°ΡΠΈΡΡ ΡΠ°ΠΉΠΎΠ½Π°
Rare and new minerals of the Tashelga-Maizaskaya zone of Gornaya Shoriya, their peculiarities and nature
Rare and New Minerals of the Tashelga-Maizaskaya Zone of Gornaya Shoriya, Their Peculiarities and Nature
Rare and new minerals (tashelgite, mukhinite, hibonite, goldmanite and others) discovered in the
process of geological studies of the 20th and the 21st centuries in the carbonate stratum of the Tashelga
polymetamorphic complex (R3-Rz3ts) composing the graben-syncline structure within the Kuznetsk-
Alatau shear zone in Gornaya Shoriya are described. It is shown that the unique mineralization
of skarnoids, calciphyres and metasomatites of the district is preconditioned by the processes of
metamorphism and further metasomatosis of original carbonate marine sediments contaminated by
laterite metabasite weathering products. The impact of the basic rock chemistry on the whole further
polychronic endogenous rock mineralization is traced even in such relatively closed systems of the
zone as granite pegmatites.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΡΠ΅Π΄ΠΊΠΈΠ΅ ΠΈ Π½ΠΎΠ²ΡΠ΅ ΠΌΠΈΠ½Π΅ΡΠ°Π»Ρ (ΡΠ°ΡΠ΅Π»Π³ΠΈΡ, ΠΌΡΡ
ΠΈΠ½ΠΈΡ, Ρ
ΠΈΠ±ΠΎΠ½ΠΈΡ, Π³ΠΎΠ»Π΄ΠΌΠ°Π½ΠΈΡ ΠΈ
Π΄Ρ.), ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½Π½ΡΠ΅ Π² Ρ
ΠΎΠ΄Π΅ Π³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ XX ΠΈ XXI Π²Π΅ΠΊΠΎΠ² Π² ΠΊΠ°ΡΠ±ΠΎΠ½Π°ΡΠ½ΠΎΠΉ
ΡΠΎΠ»ΡΠ΅ Π’Π°ΡΠ΅Π»Π³ΠΈΠ½ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠ°ΠΌΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° (R3-Rz3ts), ΡΠ»Π°Π³Π°ΡΡΠ΅Π³ΠΎ Π³ΡΠ°Π±Π΅Π½-
ΡΠΈΠ½ΠΊΠ»ΠΈΠ½Π°Π»ΡΠ½ΡΡ ΡΡΡΡΠΊΡΡΡΡ Π² ΠΏΡΠ΅Π΄Π΅Π»Π°Ρ
ΠΡΠ·Π½Π΅ΡΠΊΠΎ-ΠΠ»Π°ΡΠ°ΡΡΡΠΊΠΎΠΉ ΡΠ΄Π²ΠΈΠ³ΠΎΠ²ΠΎΠΉ Π·ΠΎΠ½Ρ ΠΠΎΡΠ½ΠΎΠΉ Π¨ΠΎΡΠΈΠΈ.
ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½Π°Ρ ΠΌΠΈΠ½Π΅ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ ΡΠΊΠ°ΡΠ½ΠΎΠΈΠ΄ΠΎΠ², ΠΊΠ°Π»ΡΡΠΈΡΠΈΡΠΎΠ² ΠΈ ΠΌΠ΅ΡΠ°ΡΠΎΠΌΠ°ΡΠΈΡΠΎΠ² ΡΠ°ΠΉΠΎΠ½Π°
ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π° ΠΏΡΠΎΡΠ΅ΡΡΠ°ΠΌΠΈ ΠΌΠ΅ΡΠ°ΠΌΠΎΡΡΠΈΠ·ΠΌΠ° ΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠ΅Π³ΠΎ ΠΌΠ΅ΡΠ°ΡΠΎΠΌΠ°ΡΠΎΠ·Π° ΠΈΡΡ
ΠΎΠ΄Π½ΡΡ
ΠΊΠ°ΡΠ±ΠΎΠ½Π°ΡΠ½ΡΡ
ΠΌΠΎΡΡΠΊΠΈΡ
ΠΎΡΠ°Π΄ΠΊΠΎΠ², Π·Π°Π³ΡΡΠ·Π½Π΅Π½Π½ΡΡ
Π»Π°ΡΠ΅ΡΠΈΡΠ½ΡΠΌΠΈ ΠΏΡΠΎΠ΄ΡΠΊΡΠ°ΠΌΠΈ Π²ΡΠ²Π΅ΡΡΠΈΠ²Π°Π½ΠΈΡ ΠΌΠ΅ΡΠ°Π±Π°Π·ΠΈΡΠΎΠ².
Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Ρ
ΠΈΠΌΠΈΠ·ΠΌΠ° ΠΈΡΡ
ΠΎΠ΄Π½ΡΡ
ΠΏΠΎΡΠΎΠ΄ Π½Π° Π²ΡΡ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΡΡ ΠΏΠΎΠ»ΠΈΡ
ΡΠΎΠ½Π½ΡΡ ΡΠ½Π΄ΠΎΠ³Π΅Π½Π½ΡΡ
ΠΌΠΈΠ½Π΅ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ, Π΄Π°ΠΆΠ΅ Π² ΡΠ°ΠΊΠΈΡ
ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ Π·Π°ΠΌΠΊΠ½ΡΡΡΡ
ΡΠΈΡΡΠ΅ΠΌΠ°Ρ
, ΠΊΠ°ΠΊΠΎΠ²ΡΠΌΠΈ ΡΠ²Π»ΡΡΡΡΡ
Π³ΡΠ°Π½ΠΈΡΠ½ΡΠ΅ ΠΏΠ΅Π³ΠΌΠ°ΡΠΈΡΡ ΡΠ°ΠΉΠΎΠ½Π°
Swarm Intelligence and cyber-physical systems: Concepts, challenges and future trends
Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired by swarm behaviors observed in natural systems, such as ant and bee colonies. In a system designed after swarm intelligence, each agent acts autonomously, reacts on dynamic inputs, and, implicitly or explicitly, works collaboratively with other swarm members without a central control. The system as a whole is expected to exhibit global patterns and behaviors. Although well-designed swarms can show advantages in adaptability, robustness, and scalability, it must be noted that SI system have not really found their way from lab demonstrations to real-world applications, so far. This is particularly true for embodied SI, where the agents are physical entities, such as in swarm robotics scenarios. In this paper, we start from these observations, outline different definitions and characterizations, and then discuss present challenges in the perspective of future use of swarm intelligence. These include application ideas, research topics, and new sources of inspiration from biology, physics, and human cognition. To motivate future applications of swarms, we make use of the notion of cyber-physical systems (CPS). CPSs are a way to encompass the large spectrum of technologies including robotics, internet of things (IoT), Systems on Chip (SoC), embedded systems, and so on. Thereby, we give concrete examples for visionary applications and their challenges representing the physical embodiment of swarm intelligence in autonomous driving and smart traffic, emergency response, environmental monitoring, electric energy grids, space missions, medical applications, and human networks. We do not aim to provide new solutions for the swarm intelligence or CPS community, but rather build a bridge between these two communities. This allows us to view the research problems of swarm intelligence from a broader perspective and motivate future research activities in modeling, design, validation/verification, and human-in-the-loop concepts