High-speed use of CCD area sensors as high energy particle detectors

Author(s):  
Mario Bocciolini ◽  
Antonio Conti ◽  
Giuliano di Caporiacco ◽  
Giuliano Parrini ◽  
Angela Quareni Vignudelli
1982 ◽  
Vol 16 ◽  
Author(s):  
P. A. Glasow ◽  
B. O. Kolbesen

As a base material for semiconductor devices, silicon is more widely used than any other semiconductor. The physical properties, in particular the bandgap which is significantly larger than that of germanium, makes the material extremely important for electronic devices. The world's total annual production of silicon is at present some 2000 t [1]. Compared with this, the 10 kg/year of silicon that is used for detectors is rather modest. However, since work on semiconductor radiation detectors started 25 years ago, silicon in addition to germanium forms the centre of interest as the basis for production of nuclear radiation spectrometers, mainly as high energy particle detectors, but also as X-ray detectors.


2021 ◽  
Vol 14 (1) ◽  
pp. 18
Author(s):  
Shoujiang Dang ◽  
Rui Han

In scientific domains such as high-energy particle physics and genomics, the quantity of high-speed data traffic generated may far exceed the storage throughput and be unable to be in time stored in the current node. Cooperating and utilizing multiple storage nodes on the forwarding path provides an opportunity for high-speed data storage. This paper proposes the use of flow entries to dynamically split traffic among selected neighbor nodes to sequentially amortize excess traffic. We propose a neighbor selection mechanism based on the Local Name Mapping and Resolution System, in which the node weights are computed by combing the link bandwidth and node storage capability, and determining whether to split traffic by comparing normalized weight values with thresholds. To dynamically offload traffic among multiple targets, the cooperative storage strategy implemented in a programmable data plane is presented using the relative weights and ID suffix matching. Evaluation shows that our proposed schema is more efficient compared with end-to-end transmission and ECMP in terms of bandwidth usage and transfer time, and is beneficial in big science.


MRS Bulletin ◽  
1990 ◽  
Vol 15 (7) ◽  
pp. 32-34 ◽  
Author(s):  
K. Moriyama

For the past 10 years, reactively deposited films of titanium nitride, TiN, have been applied to cutting tools such as drills, hob cutters, and endmills. A nominal film thickness of 2–4 μm has been shown to give excellent resistance to abrasion and corrosion and to extend tool life three times or more. This is attributable to the physical properties of TiN, which include microhardness of 1,800 kg/mm2 and surface friction approximately one-third that of high-speed tool steel. Corrosion resistance is realized from the dense, fine-grain equiaxed structure of the inert TiN film. Additional applications range from decorative use based on its goldlike appearance to use as a diffusion barrier in semiconductor devices.More recently, TiN has found application as a high quality coating for components used in ultrahigh vacuum (UHV and XHV) system apparatus and especially in high energy particle accelerators. This article discusses the application of TiN coatings to ultrahigh vacuum systems and high energy particle accelerators.The native oxides which form on stainless steel and aluminum tend to be porous and trap large amounts of water vapor and other gases. These trapped gases can be partially removed by vacuum baking, although for particle beam devices in which beam-induced desorption is at least as important as the thermal outgassing rate, an extensive beam-conditioning process is required to get rid of the final vestiges of trapped gas. The oxide surfaces have low sticking coefficients for the adsorption of incident gas molecules, but the oxides have much higher secondary electron yields than the clean metals and consequently have very high beam-induced desorption rates.


Author(s):  
Seth E. Shulman ◽  
Sean Letourneau ◽  
Sam Placanica ◽  
Troelz Denver ◽  
John Jørgensen

Author(s):  
Seth E. Shulman ◽  
Sean Letoruneau ◽  
Sam Placanica ◽  
Troelz Denver ◽  
John Jørgensen

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