2,559 research outputs found
A new model of the upper mantle structure beneath the western rim of the East European Craton
We present a new 1-D <i>P</i> wave seismic velocity model (called MP1-SUW) of the
upper mantle structure beneath the western rim of the East European Craton
(EEC) based on the analysis of the earthquakes recorded at the Suwałki
(SUW) seismic station located in NE Poland which belongs to the Polish
Seismological Network (PLSN). Motivation for this study arises from the
observation of a group of reflected waves after expected <i>P</i><sub>410</sub>P at
epicentral distances 2300–2800 km from the SUW station. Although the
existing global models represent the first-arrival traveltimes, they do not
represent the full wavefield with all reflected waves because they do not
take into account the structural features occurring regionally such as
300 km discontinuity. We perform <i>P</i> wave traveltime analysis using 1-D and 2-D
forward ray-tracing modelling for the distances of up to 3000 km. We
analysed
249 natural seismic events from four azimuthal spans with epicentres in the
western Mediterranean Sea region (WMSR), the Greece and Turkey region (GTR),
the Caucasus region (CR) and the part of the northern Mid-Atlantic Ridge near the
Jan Mayen Island (JMR). For all chosen regions, except the JMR group for
which 2-D modelling was performed, we estimate a 1-D average velocity model
which will characterize the main seismic discontinuities. It appears that a
single 1-D model (MP1-SUW model) explains well the observed traveltimes for
the analysed groups of events. Differences resulting from the different
azimuth range of earthquakes are close to the assumed picking uncertainty.
The MP1-SUW model documents the bottom of the asthenospheric low-velocity zone
(LVZ) at the depth of 220 km, 335 km discontinuity and the zone with the
reduction of <i>P</i> wave velocity atop 410 km discontinuity which is depressed to
440 km depth. The nature of the regionally occurring 300 km boundary is
explained here by tracing the ancient subduction regime related to the
closure of the Iapetus Ocean, the Rheic Ocean and the Tornquist Sea
Estimating turbulence kinetic energy dissipation rates in numerically simulated stratocumulus cloud-top and convective boundary layer flow: Evaluation of different methods.
We perform analysis of direct numerical simulation (DNS) data of two flow cases: stratocumulus cloud-top (SCT) and convective boundary layer (CBL). We test different methods for turbulence kinetic energy dissipation rate (EDR) retrieval. Among others we investigate performance of a new, iterative method, proposed recently in Wacławczyk et al. (2017), where an analytical model for energy spectra in the dissipative range is needed. We argue, the new method has some advantages over the standard spectral retrieval techniques. To apply it, only the information on the signals’ cut-off wavelength is needed and it is not necessary to define the fitting range in the inertial part of the spectrum. With this, the new method could be a basis of a general algorithm for EDR retrieval, applicable to a wide range of different atmospheric data (e.g. from commercial aircrafts). Moreover, we investigate how the presence of anisotropy due to shear, buoyancy and external intermittency in the flow affects the EDR retrieval based on the classical K41 for isotropic turbulence (Kolmogorov, 1941). © 2019 International Symposium on Turbulence and Shear Flow Phenomena, TSFP. All rights reserved
Non-Markovian spin relaxation in two-dimensional electron gas
We analyze by Monte-Carlo simulations and analytically spin dynamics of
two-dimensional electron gas (2DEG) interacting with short-range scatterers in
nonquantizing magnetic fields. It is shown that the spin dynamics is
non-Markovian with the exponential spin relaxation followed by the oscillating
tail due to the electrons residing on the closed trajectories. The tail relaxes
on a long time scale due to an additional smooth random potential and inelastic
processes. The developed analytical theory and Monte-Carlo simulations are in
the quantitative agreement with each other.Comment: 6 pages, 3 figure
Preliminary risk assessment of radiation-induced cardiac sequelae in breast cancer patients receiving adjuvant radiotherapy after breast conserving therapy
Thin-film quantum dot photodiode for monolithic infrared image sensors
Imaging in the infrared wavelength range has been fundamental in scientific, military and surveillance applications. Currently, it is a crucial enabler of new industries such as autonomous mobility (for obstacle detection), augmented reality (for eye tracking) and biometrics. Ubiquitous deployment of infrared cameras (on a scale similar to visible cameras) is however prevented by high manufacturing cost and low resolution related to the need of using image sensors based on flip-chip hybridization. One way to enable monolithic integration is by replacing expensive, small-scale III-V-based detector chips with narrow bandgap thin-films compatible with 8- and 12-inch full-wafer processing. This work describes a CMOS-compatible pixel stack based on lead sulfide quantum dots (PbS QD) with tunable absorption peak. Photodiode with a 150-nm thick absorber in an inverted architecture shows dark current of 10(-6) A/cm(2) at 2 V reverse bias and EQE above 20% at 1440 nm wavelength. Optical modeling for top illumination architecture can improve the contact transparency to 70%. Additional cooling (193 K) can improve the sensitivity to 60 dB. This stack can be integrated on a CMOS ROIC, enabling order-of-magnitude cost reduction for infrared sensors
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