scholarly journals The Response of Microwave Emission to the Development of Active Regions

1986 ◽  
Vol 7 ◽  
pp. 755-757
Author(s):  
G. Ya. Smolkov
Keyword(s):  
Active Region ◽  
Temporal Structure ◽  
Active Regions ◽  
Microwave Emission ◽  
Degree Of Polarization ◽  
Emission Characteristics ◽  
Eclipse Observations ◽  
Temporal Properties ◽  
Spatio Temporal ◽  
Main Components

As is known from eclipse observations, the microwave emission of an active region consists of three main components: floccular, inter-spot (halo) and spot components which differ in intensity, the degree of polarization, and in structure and sizes /1/. A possibility of identifying the finer spatial and temporal structure in the active region (AR) emission has existed since RATAN, the VLA and WSRT became operational. The construction of the SSRT permitted the initiation of a systematic study of spatio-temporal properties of the development of active regions /2, 3/.The majority of the properties in the AR development are reflected in detail and rapidly in the microwave emission characteristics /4, 6/.

scholarly journals Spatio–temporal entanglement of twin photons: An intuitive picture

2014 ◽  
Vol 12 (02) ◽  
pp. 1461016 ◽  
Author(s):  
Alessandra Gatti ◽  
Lucia Caspani ◽  
Tommaso Corti ◽  
Enrico Brambilla ◽  
Ottavia Jedrkiewicz
Keyword(s):  
Quantum Entanglement ◽  
Wave Packets ◽  
Temporal Structure ◽  
Space Time ◽  
Entangled State ◽  
Temporal Properties ◽  
Classical Wave ◽  
Spatio Temporal

We draw an intuitive picture of the spatio–temporal properties of the entangled state of twin photons, where they are described as classical wave-packets. This picture predicts a precise relation between their temporal and transverse spatial separations at the crystal output. The space-time coupling described by classical arguments turns out to determine in a precise way the spatio–temporal structure of the quantum entanglement, analyzed by means of the biphotonic correlation and of the Schmidt dimensionality of the entanglement.

scholarly journals Spatio-temporal analysis of flood data from South Carolina

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Haigang Liu ◽  
David B. Hitchcock ◽  
S. Zahra Samadi
Keyword(s):  
South Carolina ◽  
Temporal Structure ◽  
Daily Rainfall ◽  
Temporal Analysis ◽  
The United States ◽  
Environmental Data ◽  
Temporal Properties ◽  
Proximity Matrix ◽  
Spatio Temporal ◽  
Emergency Decision

AbstractTo investigate the relationship between flood gage height and precipitation in South Carolina from 2012 to 2016, we built a conditional autoregressive (CAR) model using a Bayesian hierarchical framework. This approach allows the modelling of the main spatio-temporal properties of water height dynamics over multiple locations, accounting for the effect of river network, geomorphology, and forcing rainfall. In this respect, a proximity matrix based on watershed information was used to capture the spatial structure of gage height measurements in and around South Carolina. The temporal structure was handled by a first-order autoregressive term in the model. Several covariates, including the elevation of the sites and effects of seasonality, were examined, along with daily rainfall amount. A non-normal error structure was used to account for the heavy-tailed distribution of maximum gage heights. The proposed model captured some key features of the flood process such as seasonality and a stronger association between precipitation and flooding during summer season. The model is able to forecast short term flood gage height which is crucial for informed emergency decision. As a byproduct, we also developed a Python library to retrieve and handle environmental data provided by some main agencies in the United States. This library can be of general usefulness for studies requiring rainfall, flow, and geomorphological information over specific areas of the conterminous US.

scholarly journals Faster is better: Visual responses to motion are stronger for higher refresh rates

2018 ◽  
Author(s):  
Mina A.Khoei ◽  
Francesco Galluppi ◽  
Quentin Sabatier ◽  
Pierre Pouget ◽  
Benoit R Cottereau ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Human Subjects ◽  
Temporal Structure ◽  
Temporal Information ◽  
Visual Responses ◽  
General Belief ◽  
Temporal Properties ◽  
Low Pass ◽  
Spatio Temporal ◽  
Multiple Species

Although neural responses with a millisecond precision were reported in the retina, lateral geniculate nucleus and visual cortex of multiple species, the presence and role of such a fine temporal structure is still debated at the cortical level and the general belief remains that early visual system encodes information at slower timescales. In this study, we used a new stimulation platform to generate visual stimuli that were very precisely encoded in time and we characterized in human subjects the EEG responses to moving patterns that shared the same global motion but differed in their fine scale spatio-temporal properties. In two experiments, we manipulated the information within temporal windows that corresponded to the frame duration in conventional (1/60 = 16.7ms, experience 1) and more recent (1/120 = 8.3ms, experience 2) visual displays. Our results demonstrate that EEG responses to temporally dense and coherent trajectories are significantly stronger than those to control conditions without these properties. They extend previous results from our group that showed that accurate temporal information (<10ms) significantly improve perceptual judgments on spatial discrimination, digit recognition and sensitivity for speed [Kime et al., 2016]. Altogether, our results suggest that instead of low-pass filtering the temporal information it receives from its thalamic afferents, the visual cortex may actually exploit its richness to improve visual perception.

scholarly journals Spatio-Temporal Features of the Development of Microwave Emission of Active Regions and Flares

1985 ◽  
Vol 107 ◽  
pp. 555-558
Author(s):  
G. Ya. Smolkov
Keyword(s):  
Solar Physics ◽  
Three Dimensional ◽  
Active Regions ◽  
Microwave Emission ◽  
Wave Band ◽  
Temporal Features ◽  
Siberian Solar Radio Telescope ◽  
Spatio Temporal ◽  
Time Basis ◽  
Sayan Mountain

At SibIZMIR, a stepwise commissioning of the Siberian Solar Radio Telescope is being under way (Smolkov, 1982a; Smolkov et al., 1983a). This special-purpose instrument is designed to: 1) survey and monitor during daylight hours the state of solar activity (SA) with high two-dimensional resolution on a real time basis in a wave band permitting maximum possible detectability of active regions (AR's) and flares (F's); 2) study structures and development of AR's by day and the time of their observation on the solar disk; 3) study F's; 4) study the three-dimensional pattern of development of AR's and F's jointly with the Sayan Mountain and Baikal Astrophysical Observatories of SibIZMIR (Smolkov, 1982b), and 5) to make a synoptic study of SA during one or several solar rotations in the interests of solving challenging problems of Solar Physics and STP.

On-the-Fly Determination of Active Region Centers in Adaptive-Partitioning QM/MM

2020 ◽  
Author(s):  
Zenghui Yang
Keyword(s):  
Quantum Mechanics ◽  
Active Region ◽  
Molecular Mechanics ◽  
Active Regions ◽  
Available Energy ◽  
Adaptive Partitioning ◽  
Different Levels

Quantum mechanics/molecular mechanics (QM/MM) methods partition the system into active and environmental regions and treat them with different levels of theory, achieving accuracy and efficiency at the same time. Adaptive-partitioning (AP) QM/MM methods allow on-the-fly changes to the QM/MM partitioning of the system. Many of the available energy-based AP-QM/MM methods partition the system according to distances to pre-chosen centers of active regions. For such AP-QM/MM methods, I develop an adaptive-center (AC) method that allows on-the-fly determination of the centers of active regions according to general geometrical or potential-related criteria, extending the range of application of energy-based AP-QM/MM methods to systems where active regions may occur or vanish during the simulation.

scholarly journals A spatio-temporal specification language and its completeness & decidability

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Tengfei Li ◽  
Jing Liu ◽  
Haiying Sun ◽  
Xiang Chen ◽  
Lipeng Zhang ◽  
...  
Keyword(s):  
Intelligent Transportation System ◽  
Cyber Physical Systems ◽  
Specification Language ◽  
Finite Model ◽  
Critical Systems ◽  
Physical Systems ◽  
Spatial Objects ◽  
Temporal Properties ◽  
Spatio Temporal ◽  
Temporal Specification

AbstractIn the past few years, significant progress has been made on spatio-temporal cyber-physical systems in achieving spatio-temporal properties on several long-standing tasks. With the broader specification of spatio-temporal properties on various applications, the concerns over their spatio-temporal logics have been raised in public, especially after the widely reported safety-critical systems involving self-driving cars, intelligent transportation system, image processing. In this paper, we present a spatio-temporal specification language, STSL PC, by combining Signal Temporal Logic (STL) with a spatial logic S4 u, to characterize spatio-temporal dynamic behaviors of cyber-physical systems. This language is highly expressive: it allows the description of quantitative signals, by expressing spatio-temporal traces over real valued signals in dense time, and Boolean signals, by constraining values of spatial objects across threshold predicates. STSL PC combines the power of temporal modalities and spatial operators, and enjoys important properties such as finite model property. We provide a Hilbert-style axiomatization for the proposed STSL PC and prove the soundness and completeness by the spatio-temporal extension of maximal consistent set and canonical model. Further, we demonstrate the decidability of STSL PC and analyze the complexity of STSL PC. Besides, we generalize STSL to the evolution of spatial objects over time, called STSL OC, and provide the proof of its axiomatization system and decidability.

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