Heat transfer coefficient saturation in superconducting Nb tunnel junctions contacted to a NbTiN circuit and an Au energy relaxation layer

In this paper we present the experimental realization of a Nb tunnel junction connected to a high-gap superconducting NbTiN embedding circuit. We investigate relaxation of nonequilibrium quasiparticles in a small volume Au layer between the Nb tunnel junction and the NbTiN circuit. We find a saturation in the effective heat-transfer coefficient consistent with a simple theoretical model. This saturation is determined by the thickness of the Au layer. Our findings are important for the design of the ideal Au energy relaxation layer for practical SIS heterodyne mixers and we suggest two geometries, one, using a circular Au layer and, two, using a half-circular Au layer. Our work is concluded with an outlook of our future experiments.Comment: Applied Superconductivity Conference 201

Anatomical information science

The Foundational Model of Anatomy (FMA) is a map of the human body. Like maps of other sorts – including the map-like representations we find in familiar anatomical atlases – it is a representation of a certain portion of spatial reality as it exists at a certain (idealized) instant of time. But unlike other maps, the FMA comes in the form of a sophisticated ontology of its objectdomain, comprising some 1.5 million statements of anatomical relations among some 70,000 anatomical kinds. It is further distinguished from other maps in that it represents not some specific portion of spatial reality (say: Leeds in 1996), but rather the generalized or idealized spatial reality associated with a generalized or idealized human being at some generalized or idealized instant of time. It will be our concern in what follows to outline the approach to ontology that is represented by the FMA and to argue that it can serve as the basis for a new type of anatomical information science. We also draw some implications for our understanding of spatial reasoning and spatial ontologies in general

Protein-Interaction-Networks: More than mere modules

Cellular function is widely believed to be organized in a modular fashion. On all scales and at all levels of complexity, relatively independent sub-units perform relatively independent sub-tasks of biological function. This functional modularity must be reflected in the topology of molecular networks. But how a functional module should be represented in an interaction network is an open question. In protein-interaction networks (PIN), one can identify a protein-complex as a module on a small scale, i.e. modules are understood as densely linked, resp. interacting, groups of proteins, that are only sparsely interacting with the rest of the network. In this contribution, we show that extrapolating this concept of cohesively linked clusters of proteins as modules to the scale of the entire PIN inevitable misses important and functionally relevant structure inherent in the network. As an alternative, we introduce a novel way of decomposing a network into functional roles and show that this represents network structure and function more efficiently. This finding should have a profound impact on all module assisted methods of protein function prediction and should shed new light on how functional modules can be represented in molecular interaction networks in general

Magnetic properties of single nanomagnets: EMCD on FePt nanoparticles

Energy-loss magnetic chiral dichroism (EMCD) allows for the quantification of magnetic properties of materials at the nanometer scale. It is shown that with the support of simulations that help to identify the optimal conditions for a successful experiment and upon implementing measurement routines that effectively reduce the noise floor, EMCD measurements can be pushed towards quantitative magnetic measurements even on individual nanoparticles. With this approach, the ratio of orbital to spin magnetic moments for the Fe atoms in a single L$1_0$ ordered FePt nanoparticle is determined to be ${m_l}/{m_s} = 0.08 \pm 0.02$. This finding is in good quantitative agreement with the results of XMCD ensemble measurements.Comment: 35 pages, 10 figure

Eine Web-Applikation zur Optimierung der Krümmung von Line Source Arrays

DFG, 393106680, Optimale Schallfelderzeugung für Beschallungsaufgaben im Zeit- und Frequenzbereic

Mixed Analytical-Numerical Filter Design for Optimized Electronic Control of Line Source Arrays

Line source arrays (LSAs) are used for large-scale sound reinforcement that synthesizes homogeneous sound fields over the full audio bandwidth. The deployed loudspeaker cabinets are rigged with different tilt angles and are electronically controlled to provide the intended coverage of the audience zones and to avoid radiation toward the ceiling, reflective walls, or residential areas. In this article, a mixed analytical-numerical approach, referred to as line source array venue slice drive optimization (LAVDO), is introduced for optimizing the individual loudspeakers’ driving functions. This method is compared to numerical optimization schemes, including least-squares and multi-objective goal attainment approaches. For two standard LSAs in straight and in curved configuration, these temporal frequency domain optimizations are performed for a typical concert venue. It is shown that LAVDO overcomes the nonsmooth frequency responses resulting from numerical frequency domain approaches. LAVDO provides smooth amplitude and phase responses of the loudspeakers’ driving functions that are essential for practical finite impulse response filter design and implementation