3,289 research outputs found
Searching for additional heating - [OII] emission in the diffuse ionized gas of NGC891, NGC4631 and NGC3079
We present spectroscopic data of ionized gas in the disk--halo regions of
three edge-on galaxies, NGC 891, NGC 4631 and NGC 3079, covering a wavelength
range from [\ion{O}{2}] 3727\AA to [\ion{S}{2}] 6716.4\AA.
The inclusion of the [\ion{O}{2}] emission provides new constraints on the
properties of the diffuse ionized gas (DIG), in particular, the origin of the
observed spatial variations in the line intensity ratios. We used three
different methods to derive electron temperatures, abundances and ionization
fractions along the slit. The increase in the [\ion{O}{2}]/H line ratio
towards the halo in all three galaxies requires an increase either in electron
temperature or in oxygen abundance. Keeping the oxygen abundance constant
yields the most reasonable results for temperature, abundances, and ionization
fractions. Since a constant oxygen abundance seems to require an increase in
temperature towards the halo, we conclude that gradients in the electron
temperature play a significant role in the observed variations in the optical
line ratios from extraplanar DIG in these three spiral galaxies.Comment: 43 pages, 29 figure
Analytical models of probability distribution and excess noise factor of Solid State Photomultiplier signals with crosstalk
Silicon Photomultipliers (SiPM), also so-called Solid State Photomultipliers
(SSPM), are based on Geiger mode avalanche breakdown limited by strong negative
feedback. SSPM can detect and resolve single photons due to high gain and
ultra-low excess noise of avalanche multiplication in this mode. Crosstalk and
afterpulsing processes associated with the high gain introduce specific excess
noise and deteriorate photon number resolution of the SSPM. Probabilistic
features of these processes are widely studied because of its high importance
for the SSPM design, characterization, optimization and application, but the
process modeling is mostly based on Monte Carlo simulations and numerical
methods. In this study, crosstalk is considered to be a branching Poisson
process, and analytical models of probability distribution and excess noise
factor (ENF) of SSPM signals based on the Borel distribution as an advance on
the geometric distribution models are presented and discussed. The models are
found to be in a good agreement with the experimental probability distributions
for dark counts and a few photon spectrums in a wide range of fired pixels
number as well as with observed super-linear behavior of crosstalk ENF.Comment: 10 pages, 2 tables, 3 figures, Reported at 6th International
Conference on "New Developments In Photodetection - NDIP11
Magneto-quantum oscillations of the conductance of a tunnel point-contact in the presence of a single defect
The influence of a quantizing magnetic field to the conductance of a
tunnel point contact in the presence of the single defect has been considered.
We demonstrate that the conductance exhibits specific magneto-quantum
oscillations, the amplitude and period of which depend on the distance between
the contact and the defect. We show that a non-monotonic dependence of the
point-contact conductance results from a superposition of two types of
oscillations: A short period oscillation arising from electron focusing by the
field and a long period oscillation of Aharonov-Bohm-type originated from
the magnetic flux passing through the closed trajectories of electrons moving
from the contact to the defect and returning back to the contact.Comment: 13 pages, 3 figure
Boundedness properties of fermionic operators
The fermionic second quantization operator is shown to be
bounded by a power of the number operator given that the operator
belongs to the -th von Neumann-Schatten class, . Conversely,
number operator estimates for imply von Neumann-Schatten
conditions on . Quadratic creation and annihilation operators are treated as
well.Comment: 15 page
Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture
Needle insertion is common during minimally invasive interventions such as
biopsy or brachytherapy. During soft tissue needle insertion, forces acting at
the needle tip cause tissue deformation and needle deflection. Accurate needle
tip force measurement provides information on needle-tissue interaction and
helps detecting and compensating potential misplacement. For this purpose we
introduce an image-based needle tip force estimation method using an optical
fiber imaging the deformation of an epoxy layer below the needle tip over time.
For calibration and force estimation, we introduce a novel deep learning-based
fused convolutional GRU-CNN model which effectively exploits the
spatio-temporal data structure. The needle is easy to manufacture and our model
achieves a mean absolute error of 1.76 +- 1.5 mN with a cross-correlation
coefficient of 0.9996, clearly outperforming other methods. We test needles
with different materials to demonstrate that the approach can be adapted for
different sensitivities and force ranges. Furthermore, we validate our approach
in an ex-vivo prostate needle insertion scenario.Comment: Accepted for Publication at MICCAI 201
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