4,370 research outputs found
Excitation spectroscopy of single quantum dots at tunable positive, neutral and negative charge states
We present a comprehensive study of the optical transitions and selection
rules of variably charged single self-assembled InAs/GaAs quantum dots. We
apply high resolution polarization sensitive photoluminescence excitation
spectroscopy to the same quantum dot for three different charge states: neutral
and negatively or positively charged by one additional electron or hole. From
the detailed analysis of the excitation spectra, a full understanding of the
single-carrier energy levels and the interactions between carriers in these
levels is extracted for the first time.Comment: 8 pages, 5 figure
AN OVERVIEW OF GEOINFORMATICS STATE-OF-THE-ART TECHNIQUES FOR LANDSLIDE MONITORING AND MAPPING
Abstract. Natural hazards such as landslides, whether they are driven by meteorologic or seismic processes, are constantly shaping Earth's surface. In large percentage of the slope failures, they are also causing huge human and economic losses. As the problem is complex in its nature, proper mitigation and prevention strategies are not straightforward to implement. One important step in the correct direction is the integration of different fields; as such, in this work, we are providing a general overview of approaches and techniques which are adopted and integrated for landslide monitoring and mapping, as both activities are important in the risk prevention strategies. Detailed landslide inventory is important for providing the correct information of the phenomena suitable for further modelling, analysing and implementing suitable mitigation measures. On the other hand, timely monitoring of active landslides could provide priceless insights which can be sufficient for reducing damages. Therefore, in this work popular methods are discussed that use remotely-sensed datasets with a particular focus on the implementation of machine learning into landslide detection, susceptibility modelling and its implementation in early-warning systems. Moreover, it is reviewed how Citizen Science is adopted by scholars for providing valuable landslide-specific information, as well as couple of well-known platforms for Volunteered Geographic Information which have the potential to contribute and be used also in the landslide studies. In addition to proving an overview of the most popular techniques, this paper aims to highlight the importance of implementing interdisciplinary approaches
APPLICATION OF LUCAS-KANADE DENSE FLOW FOR TERRAIN MOTION IN LANDSLIDE MONITORING APPLICATION
Landslides are natural hazards that can cause severe damage and loss of life. Optical cameras are a low-cost and high-resolution
alternative among many monitoring systems, as their size and capabilities can vary, allowing for flexible implementation and location.
Computer vision is a branch of artificial intelligence that can analyze and understand optical images, using techniques such as
optical flow, image correlation and machine learning. The application of such techniques can estimate the motion vectors, displacement
fields, providing valuable information for landslide detection, monitoring and prediction. However, computer vision also faces
some challenges such as illumination changes, occlusions, image quality, and computational complexity. In this work, a computer
vision approach based on Lucas-Kanade optical dense flow was applied to estimate the motion vectors between consecutive images
obtained during landslide simulations in a laboratory environment. The approach is applied to two experiments that vary in their
illumination and setup parameters to test its applicability. We also discuss the application of this methodology to images from
Sentinel-2 satellite optical sensors for landslide monitoring in real-world scenarios
Unitarized pion-nucleon scattering within Heavy Baryon Chiral Perturbation Theory
By means of the Inverse Amplitude Method we unitarize the elastic
pion-nucleon scattering amplitudes obtained from Heavy Baryon Chiral
Perturbation Theory to O(q^3). Within this approach we can enlarge their
applicability range and generate the Delta(1232) resonance. We can find a
reasonable description of the pion nucleon phase shifts with (q^2) parameters
in agreement with the resonance saturation hypothesis. However, the
uncertainties in the analysis of the low energy data as well as the large
number of chiral parameters, which can have strong correlations, allow us to
obtain very good fits with rather different sets of chiral constants.Comment: Shortened version to appear in Phys. Rev. D. Brief Report
Cosmological hydrodynamical simulations of galaxy clusters: X-ray scaling relations and their evolution
We analyse cosmological hydrodynamical simulations of galaxy clusters to
study the X-ray scaling relations between total masses and observable
quantities such as X-ray luminosity, gas mass, X-ray temperature, and .
Three sets of simulations are performed with an improved version of the
smoothed particle hydrodynamics GADGET-3 code. These consider the following:
non-radiative gas, star formation and stellar feedback, and the addition of
feedback by active galactic nuclei (AGN). We select clusters with , mimicking the typical selection of
Sunyaev-Zeldovich samples. This permits to have a mass range large enough to
enable robust fitting of the relations even at . The results of the
analysis show a general agreement with observations. The values of the slope of
the mass-gas mass and mass-temperature relations at are 10 per cent lower
with respect to due to the applied mass selection, in the former case,
and to the effect of early merger in the latter. We investigate the impact of
the slope variation on the study of the evolution of the normalization. We
conclude that cosmological studies through scaling relations should be limited
to the redshift range , where we find that the slope, the scatter, and
the covariance matrix of the relations are stable. The scaling between mass and
is confirmed to be the most robust relation, being almost independent of
the gas physics. At higher redshifts, the scaling relations are sensitive to
the inclusion of AGNs which influences low-mass systems. The detailed study of
these objects will be crucial to evaluate the AGN effect on the ICM.Comment: 24 pages, 11 figures, 5 tables, replaced to match accepted versio
Stark Effect of Interactive Electron-hole pairs in Spherical Semiconductor Quantum Dots
We present a theoretical variational approach, based on the effective mass
approximation (EMA), to study the quantum-confinement Stark effects for
spherical semiconducting quantum dots in the strong confinement regime of
interactive electron-hole pair and limiting weak electric field. The respective
roles of the Coulomb potential and the polarization energy are investigated in
details. Under reasonable physical assumptions, analytical calculations can be
performed. They clearly indicate that the Stark shift is a quadratic function
of the electric field amplitude in the regime of study. The resulting numerical
values are found to be in good agreement with experimental data over a
significant domain of validity
Chiral Anomaly and
Measurement of the process has revealed a possible conflict
with what should be a solid prediction generated by the chiral anomaly. We show
that inclusion of appropirate energy-momentum dependence in the matrix element
reduces the discrepancy.Comment: 8 page standard Latex fil
K_S\rightarrow \gamma\gamma , K_L\rightarrow\pi^0\gamma\gamma$ and Unitarity
Agreement between the experimental value and the number predicted via a one-loop chiral perturbation
theory calculation has been cited as a success for the latter. On the other
hand the one-loop prediction for the closely related process has been found to be a factor three below the experimental
value. Using the inputs of unitarity and dispersion relations, we demonstrate
the importance of higher order loop effects to both of these processes.Comment: 20 pages (4 figures available on request), UMHEP-39
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