scholarly journals Interferometrically enhanced sub-terahertz picosecond imaging utilizing a miniature collapsing-field-domain source

2018 ◽  
Vol 112 (19) ◽  
pp. 191104 ◽  
Author(s):  
Sergey N. Vainshtein ◽  
Guoyong Duan ◽  
Valeri A. Mikhnev ◽  
Valery E. Zemlyakov ◽  
Vladimir I. Egorkin ◽  
...  
Keyword(s):  
Domain Source

High-Frequency Time Domain Source Path Contribution: From Engine Test Bench Data to Cabin Interior Sounds

2013 ◽  
Vol 6 (2) ◽  
pp. 1293-1299 ◽  
Author(s):  
David Bogema ◽  
Andreas Schuhmacher ◽  
Gary Newton ◽  
Frederick Vanhaaften ◽  
Takeshi Abe ◽  
...  
Keyword(s):  
Time Domain ◽  
High Frequency ◽  
Test Bench ◽  
Engine Test ◽  
Engine Test Bench ◽  
Domain Source ◽  
Cabin Interior

DETRITAL ZIRCON GEOCHRONOLOGY AND PROVENANCE OF THE PROTEROZOIC QUARTZ-RICH METASEDIMENTS OF THE MAZOWSZE DOMAIN: SOURCE AREAS AND REGIONAL CORRELATION

2019 ◽  
Vol 474 (474) ◽  
pp. 59-72
Author(s):  
Leszek KRZEMIŃSKI ◽  
Ewa KRZEMIŃSKA ◽  
Janina Wiszniewska
Keyword(s):  
Passive Margin ◽  
Geochemical Composition ◽  
Detrital Zircon Geochronology ◽  
Source Areas ◽  
Metasedimentary Rocks ◽  
Ne Poland ◽  
Regional Correlation ◽  
Quartz Arenite ◽  
Depositional Age ◽  
Domain Source

Drilling at Mońki IG-2 and Zabiele IG-1 in the Mazowsze domain has intersected mature quartz-rich metasedimentary rocks belonging to the basement of NE Poland, described so far as a Biebrza complex. The geochemical composition of these rocks is characteristic of a passive margin. The subarkose–quartz arenite underwent low-T metamorphism, but preserved textures typical for the fluvial sediments. The detrital material in range 1.68–2.11 Ga was provided from surrounding late Paleoproterozoic margins of the Fennoscandia and Sarmatia. The maximum depositional age probably did not exceed 1.6 Ga. A previously suggested correlation with Mesoproterozoic molasse-type deposits of the Jotnian formation has not been confirmed. It seems more likely that the sediments formed after Fennoscandia-Sarmatia collision (i.e. termination of Svecofennian orogeny) but before denudation of the Mesoproterozoic Mazury AMCG intrusions.

Robust DC and efficient time-domain fast fault simulation

2014 ◽  
Vol 33 (4) ◽  
pp. 1161-1174 ◽  
Author(s):  
Bratislav Tasic ◽  
Jos J. Dohmen ◽  
E. Jan W. ter Maten ◽  
Theo G.J. Beelen ◽  
Wil H.A. Schilders ◽  
...  
Keyword(s):  
Time Domain ◽  
Design Methodology ◽  
Electronic Circuit ◽  
Fault Simulation ◽  
Transient Simulation ◽  
Content Type ◽  
The Hierarchical Structure ◽  
Adaptive Time ◽  
The Many ◽  
Domain Source

Purpose – Imperfections in manufacturing processes may cause unwanted connections (faults) that are added to the nominal, “golden”, design of an electronic circuit. By fault simulation one simulates all situations. Normally this leads to a large list of simulations in which for each defect a steady-state (direct current (DC)) solution is determined followed by a transient simulation. The purpose of this paper is to improve the robustness and the efficiency of these simulations. Design/methodology/approach – Determining the DC solution can be very hard. For this the authors present an adaptive time-domain source stepping procedure that can deal with controlled sources. The method can easily be combined with existing pseudo-transient procedures. The method is robust and efficient. In the subsequent transient simulation the solution of a fault is compared to a golden, fault-free, solution. A strategy is developed to efficiently simulate the faulty solutions until their moment of detection. Findings – The paper fully exploits the hierarchical structure of the circuit in the simulation process to bypass parts of the circuit that appear to be unaffected by the fault. Accurate prediction and efficient solution procedures lead to fast fault simulation. Originality/value – The fast fault simulation helps to store a database with detectable deviations for each fault. If such a detectable output “matches” a result of a product that has been returned because of malfunctioning it helps to identify the subcircuit that may contain the real fault. One aims to detect as much as possible candidate faults. Because of the many options the simulations must be very efficient.

Migration/inversion for incident waves synthesized from common-shot data gathers

Geophysics ◽  
2007 ◽  
Vol 72 (6) ◽  
pp. W17-W31 ◽  
Author(s):  
Norman Bleistein
Keyword(s):  
Wave Equation ◽  
Incidence Angle ◽  
Plane Waves ◽  
Data Sets ◽  
Amplitude Wave ◽  
Data Set ◽  
Data Synthesis ◽  
Single Wave ◽  
Incident Waves ◽  
Domain Source

Wavefield synthesis is a process for producing reflection responses from more general sources or from prescribed incident waves by combining common-shot data gathers. Synthesis can provide surveywide data sets, similar in that regard to common-offset data gathers, but with the added advantage that each synthesized data set is a solution to a single wave equation. A common-offset data set does not have this last feature. Thus, synthesized data sets can be processed by true-amplitude wave-equation migration. The output is then known to be true amplitude in the same sense as is the output of Kirchhoff inversion. That is, the peak amplitude is proportional to the ray-theoretic reflection coefficient at a determinable specular incidence angle multiplied bythe area under the frequency-domain source signature and scaled by [Formula: see text]. Alternatively, the Kirchhoff inversion of synthesized data has a Beylkin determinant that is expressed in terms of the ray-theoretic Green’s function amplitude. This is in contrast to 3D common-offset inversion, wherein the Beylkin determinant is most difficult to compute. We present a theory of data synthesis and true-amplitude migration/inversion based on the application of Green’s theorem to the ensemble of common-shot gathers and prescribed more general sources or prescribed incident waves. Specific examples include delayed-shot line sources and incident dipping plane waves at the upper surface. We also discuss two cases in which waves are prescribed at depth, back-projected to the upper surface, and then used to generate a synthesized data set.

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