An algorithm for calculating the Lorentz angle in silicon detectors [online]

The CMS (Compact Muon Solenoid) detector will use silicon sensors in the harsh radiation environment of the LHC (Large Hadron Collider) and high magnetic fields. The drift direction of the charge carriers is aected by the Lorentz force due to the high magnetic field. Also the resulting radiation damage changes the properties of the drift. The CMS silicon strip detector is read out on the p-side of the sensors, where holes are collected, while the pixel sensors have n-side read out, thus collecting electrons. In this paper measurements of the Lorentz angle are reviewed. Easy algorithms to compute the Lorentz angle are proposed. Key words: silicon, sensors, detectors, Lorentz angle, magnetic field, CM

Lorentz angle measurements in irradiated silicon detectors between 77 K and 300 K

Future experiments are using silicon detectors in a high radiation environment and in high magnetic fields. The radiation tolerance of silicon improves by cooling it to temperatures below 180 K. At low temperatures the mobility increases, which leads to larger de of the charge carriers by the Lorentz force. A good knowledge of the Lorentz angle is needed for design and operation of silicon detectors. We present measurements of the Lorentz angle between 77 K and 300 K before and after irradiation with a primary beam of 21 MeV protons

DIPHOSPHINONITRENIUM AND DIPHOSPHENIUM CATIONS, JAHN-TELLER DISTORTED ALLYL SYSTEMS

Schoeller W, BUSCH T. DIPHOSPHINONITRENIUM AND DIPHOSPHENIUM CATIONS, JAHN-TELLER DISTORTED ALLYL SYSTEMS. CHEMISCHE BERICHTE. 1990;123(5):971-973

How users interact with a 3D geo-browser under time pressure

Interactive 3D geo-browsers, also known as globe viewers, are popular, because they are easy and fun to use. However, it is still an open question whether highly interactive, 3D geographic data browsing, and visualization displays support effective and efficient spatio-temporal decision making. Moreover, little is known about the role of time constraints for spatio-temporal decision-making in an interactive, 3D context. In this article, we present an empirical approach to assess the effect of decision-time constraints on the quality of spatio-temporal decision-making when using 3D geo-browsers, such as GoogleEarth, in 3D task contexts of varying complexity. Our experimental results suggest that while, overall, people interact more with interactive geo-browsers when not under time pressure, this does not mean that they are also more accurate or more confident in their decisions when solving typical 3D cartometric tasks. Surprisingly, we also find that 2D interaction capabilities (i.e., zooming and panning) are more frequently used for 3D tasks than 3D interaction tools (i.e., rotating and tilting), regardless of time pressure. Finally, we find that background and training of tested users do not seem to influence 3D task performance. In summary, our study does not provide any evidence for the added value of using interactive 3D globe viewers when needing to solve 3D cartometric tasks with or without time pressure

Cognitive and motivational biases in decision and risk analysis

Behavioral decision research has demonstrated that judgments and decisions of ordinary people and experts are subject to numerous biases. Decision and risk analysis were designed to improve judgments and decisions and to overcome many of these biases. However, when eliciting model components and parameters from decisionmakers or experts, analysts often face the very biases they are trying to help overcome. When these inputs are biased they can seriously reduce the quality of the model and resulting analysis. Some of these biases are due to faulty cognitive processes; some are due to motivations for preferred analysis outcomes. This article identifies the cognitive and motivational biases that are relevant for decision and risk analysis because they can distort analysis inputs and are difficult to correct. We also review and provide guidance about the existing debiasing techniques to overcome these biases. In addition, we describe some biases that are less relevant because they can be corrected by using logic or decomposing the elicitation task. We conclude the article with an agenda for future research