2,414 research outputs found
Development of Lumped Element Kinetic Inductance Detectors for the W-Band
We are developing a Lumped Element Kinetic Inductance Detector (LEKID) array
able to operate in the W-band (75-110 GHz) in order to perform ground-based
Cosmic Microwave Background (CMB) and mm-wave astronomical observations. The
W-band is close to optimal in terms of contamination of the CMB from Galactic
synchrotron, free-free, and thermal interstellar dust. In this band, the
atmosphere has very good transparency, allowing interesting ground-based
observations with large (>30 m) telescopes, achieving high angular resolution
(<0.4 arcmin). In this work we describe the startup measurements devoted to the
optimization of a W-band camera/spectrometer prototype for large aperture
telescopes like the 64 m SRT (Sardinia Radio Telescope). In the process of
selecting the best superconducting film for the LEKID, we characterized a 40 nm
thick Aluminum 2-pixel array. We measured the minimum frequency able to break
CPs (i.e. ) obtaining
GHz, that corresponds to a critical temperature of 1.31 K. This is not suitable
to cover the entire W-band. For an 80 nm layer the minimum frequency decreases
to 93.2 GHz, which corresponds to a critical temperature of 1.28 K; this value
is still suboptimal for W-band operation. Further increase of the Al film
thickness results in bad performance of the detector. We have thus considered a
Titanium-Aluminum bi-layer (10 nm thick Ti + 25 nm thick Al, already tested in
other laboratories), for which we measured a critical temperature of 820 mK and
a cut-on frequency of 65 GHz: so this solution allows operation in the entire
W-band.Comment: 16th International Workshop on Low Temperature Detectors, Grenoble
20-24 July 2015, Journal of Low Temperature Physics, Accepte
Au large de Saint-Florent – Épave U Pezzo
Connue depuis de nombreuses années et régulièrement visitée par les plongeurs du club de plongée devant lequel elle se trouve, l’épave dite U Pezzo, située par 3 m de fond à environ 50 m du rivage, a été longtemps considérée comme sans importance. Lors de leurs séjours en Corse durant l’été 1996. P. Villié et le présent signataire déclarent le site qu’ils reconnaissent comme étant probablement un navire de commerce de la fin du xviie s. ou du début du xixe s., les quelques morceaux de céramiq..
The Devil is in the Decoder: Classification, Regression and GANs
Many machine vision applications, such as semantic segmentation and depth
prediction, require predictions for every pixel of the input image. Models for
such problems usually consist of encoders which decrease spatial resolution
while learning a high-dimensional representation, followed by decoders who
recover the original input resolution and result in low-dimensional
predictions. While encoders have been studied rigorously, relatively few
studies address the decoder side. This paper presents an extensive comparison
of a variety of decoders for a variety of pixel-wise tasks ranging from
classification, regression to synthesis. Our contributions are: (1) Decoders
matter: we observe significant variance in results between different types of
decoders on various problems. (2) We introduce new residual-like connections
for decoders. (3) We introduce a novel decoder: bilinear additive upsampling.
(4) We explore prediction artifacts
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