Investigation of the intermediate layers located between niobium substrate and lead films destined for superconducting photocathodes

2018 ◽  
Vol 352 ◽  
pp. 501-507 ◽  
Author(s):  
A. Kosińska ◽  
M. Barlak ◽  
D. Derewnicka-Krawczyńska ◽  
J. Lorkiewicz ◽  
J. Sekutowicz ◽  
...  
2021 ◽  
Vol 2021 (5) ◽  
Author(s):  
Garvita Agarwal ◽  
Lauren Hay ◽  
Ia Iashvili ◽  
Benjamin Mannix ◽  
Christine McLean ◽  
...  

Abstract A framework is presented to extract and understand decision-making information from a deep neural network (DNN) classifier of jet substructure tagging techniques. The general method studied is to provide expert variables that augment inputs (“eXpert AUGmented” variables, or XAUG variables), then apply layerwise relevance propagation (LRP) to networks both with and without XAUG variables. The XAUG variables are concatenated with the intermediate layers after network-specific operations (such as convolution or recurrence), and used in the final layers of the network. The results of comparing networks with and without the addition of XAUG variables show that XAUG variables can be used to interpret classifier behavior, increase discrimination ability when combined with low-level features, and in some cases capture the behavior of the classifier completely. The LRP technique can be used to find relevant information the network is using, and when combined with the XAUG variables, can be used to rank features, allowing one to find a reduced set of features that capture part of the network performance. In the studies presented, adding XAUG variables to low-level DNNs increased the efficiency of classifiers by as much as 30-40%. In addition to performance improvements, an approach to quantify numerical uncertainties in the training of these DNNs is presented.


Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 421
Author(s):  
Alexander Potekaev ◽  
Liudmila Shamanaeva ◽  
Valentina Kulagina

Spatiotemporal dynamics of the atmospheric kinetic energy and its components caused by the ordered and turbulent motions of air masses are estimated from minisodar measurements of three velocity vector components and their variances within the lowest 5–200 m layer of the atmosphere, with a particular emphasis on the turbulent kinetic energy. The layered structure of the total atmospheric kinetic energy has been established. From the diurnal hourly dynamics of the altitude profiles of the turbulent kinetic energy (TKE) retrieved from minisodar data, four layers are established by the character of the altitude TKE dependence, namely, the near-ground layer, the surface layer, the layer with a linear TKE increase, and the transitive layer above. In the first layer, the most significant changes of the TKE were observed in the evening hours. In the second layer, no significant changes in the TKE values were observed. A linear increase in the TKE values with altitude was observed in the third layer. In the fourth layer, the TKE slightly increased with altitude and exhibited variations during the entire observation period. The altitudes of the upper boundaries of these layers depended on the time of day. The MKE values were much less than the corresponding TKE values, they did not exceed 50 m2/s2. From two to four MKE layers were distinguished based on the character of its altitude dependence. The two-layer structures were observed in the evening and at night (under conditions of the stable atmospheric boundary layer). In the morning and daytime, the four-layer MKE structures with intermediate layers of linear increase and subsequent decrease in the MKE values were observed. Our estimates demonstrated that the TKE contribution to the total atmospheric kinetic energy considerably (by a factor of 2.5–3) exceeded the corresponding MKE contribution.


2021 ◽  
Author(s):  
Xiaorui Li ◽  
Weiyu Cui ◽  
Jiawei Huang ◽  
Wenyi Wang ◽  
Jianwen Chen

1994 ◽  
Vol 341 ◽  
Author(s):  
J. Hudner ◽  
H. Ohlsén ◽  
E. Fredriksson

AbstractThin layers of Y2O3 have been prepared on silicon (100) by an activated reactive evaporation process involving evaporation of metal Y in an atomic oxygen plasma. The presence of the oxygen plasma was found to be crucial for the formation of homogeneous Y2O3 films on Si. The formation of Y2O3 films on Si (100) at different substrate temperatures was investigated. X-ray diffraction analysis showed that Y2O3 films formed between 300 °C and 650 °C were (111) textured while Y2O3 prepared at lower substrate temperatures (80 °C) exhibited mixed orientations. Rutherford backscattering spectrometry indicated that films were stoichiometric. No pronounced channeling was observed in films grown at 350 °C, suggesting polycrystalline film structures. Atomic force microscopy revealed very smooth surface morphologies with average surface roughness < 20 Å for films 700 Å thick deposited at 350 °C. Secondary ion mass spectroscopy indicated the abundance of intermediate layers in the film-substrate interface.


2002 ◽  
Vol 237-239 ◽  
pp. 1017-1021 ◽  
Author(s):  
Y. Saito ◽  
T. Yamaguchi ◽  
H. Kanazawa ◽  
K. Kano ◽  
T. Araki ◽  
...  

1995 ◽  
Vol 31 (6) ◽  
pp. 2728-2730 ◽  
Author(s):  
Li-Lien Lee ◽  
D.E. Laughlin ◽  
L. Fang ◽  
D.N. Lambeth

2007 ◽  
Vol 298 ◽  
pp. 223-227 ◽  
Author(s):  
Jun Komiyama ◽  
Yoshihisa Abe ◽  
Shunichi Suzuki ◽  
Hideo Nakanishi

2009 ◽  
Vol 454 (1) ◽  
pp. 76-80 ◽  
Author(s):  
Zita Márkus ◽  
Antal Berényi ◽  
Zsuzsanna Paróczy ◽  
Marek Wypych ◽  
Wioletta J. Waleszczyk ◽  
...  

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