A Cassegrain reflector system for compact range applications

An integral part of a compact range is the means of providing a uniform plane wave. A Cassegrain reflector system is one alternative for achieving this goal. Theoretically, this system offers better performance than a simple reflector system. The longer pathlengths in the Cassegrain system lead to a more uniform field in the plane of interest. The addition of the subreflector creates several problems, though. System complexity is increased both in terms of construction and performance analysis. The subreflector also leads to aperture blockage and the orientation of the feed now results in spillover illuminating the target areas as well as the rest of the range. Finally, the addition of the subreflector leads to interaction between the two reflectors resulting in undesired field variations in the plane of interest. These difficulties are addressed and through the concept of blending the surfaces, a Cassegrain reflector system is developed that will provide a uniform plane wave that offers superior performance over large target areas for a given size reflector system. Design and analysis is implemented by considering the main reflector and subreflector separately. Then the system may be put together and the final design and system analysis completed

Monitoring cardiovascular function in the primate under prolonged weightlessness

Monitoring cardiovascular function in primates under prolonged weightlessnes

Suppression of electron scattering resonances in graphene by quantum dots

Transmission of low-energetic electrons through two-dimensional materials leads to unique scattering resonances. These resonances contribute to photoemission from occupied bands where they appear as strongly dispersive features of suppressed photoelectron intensity. Using angle-resolved photoemission we have systematically studied scattering resonances in epitaxial graphene grown on the chemically differing substrates Ir(111), Bi/Ir, Ni(111) as well as in graphene/Ir(111) nanopatterned with a superlattice of uniform Ir quantum dots. While the strength of the chemical interaction with the substrate has almost no effect on the dispersion of the scattering resonances, their energy can be controlled by the magnitude of charge transfer from/to graphene. At the same time, a superlattice of small quantum dots deposited on graphene eliminates the resonances completely. We ascribe this effect to a nanodot-induced buckling of graphene and its local rehybridization from sp$^{2}$ to sp$^{3}$ towards a three-dimensional structure. Our results suggest nanopatterning as a prospective tool for tuning optoelectronic properties of two-dimensional materials with graphene-like structure.Comment: The following article has been submitted to Applied Physics Letters. If it is published, it will be found online at http://apl.aip.or

Rashba splitting of 100 meV in Au-intercalated graphene on SiC

Intercalation of Au can produce giant Rashba-type spin-orbit splittings in graphene but this has not yet been achieved on a semiconductor substrate. For graphene/SiC(0001), Au intercalation yields two phases with different doping. Here, we report the preparation of an almost pure p-type graphene phase after Au intercalation. We observe a 100 meV Rashba-type spin-orbit splitting at 0.9 eV binding energy. We show that this giant splitting is due to hybridization and much more limited in energy and momentum space than for Au-intercalated graphene on Ni

Exploratory studies of contact angle hysteresis, wetting of solidified rare gases and surface properties of mercury Final report

Contact angle hysteresis, wetting of solidified rare gases, and surface properties of mercur

Dead Angles of Personalization, Integrating Curation Algorithms in the Fabric of Design

International audienceThe amount of information available on the web is too vast for individuals to be able to process it all. To cope with this issue, digital platforms started relying on algorithms to curate, filter and recommend content to their users. This problem has generally been envisioned from a technical perspective, as an optimization issue and has been mostly untouched by design considerations. Through 16 interviews with daily users of platforms, we analyze how curation algorithms influence their daily experience and the strategies they use to try to adapt them to their own needs. Based on these empirical findings, we propose a set of four speculative design alternatives to explore how we can integrate curation algorithms as part of the larger fabric of design on the web. By exploring interactions to counter the binary nature of curation algorithms, their uniqueness, their anti-historicity and their implicit data collection, we provide tools to bridge the current divide between curation algorithms and people

Functional Morphology of Gliding Flight I. Modeling Reveals Distinct Performance Landscapes Based on Soaring Strategies

The physics of flight influences the morphology of bird wings through natural selection on flight performance. The connection between wing morphology and performance is unclear due to the complex relationships between various parameters of flight. In order to better understand this connection, we present a holistic analysis of gliding flight that preserves complex relationships between parameters. We use a computational model of gliding flight, along with analysis by uncertainty quantification, to 1) create performance landscapes of gliding based on output metrics (maximum lift-to-drag ratio, minimum gliding angle, minimum sinking speed, lift coefficient at minimum sinking speed); and 2) predict what parameters of flight (chordwise camber, wing aspect ratio, Reynolds number) would differ between gliding and non-gliding species of birds. We also examine performance based on soaring strategy for possible differences in morphology within gliding birds. Gliding birds likely have greater aspect ratios than non-gliding birds, due the high sensitivity of aspect ratio on most metrics of gliding performance. Furthermore, gliding birds can use two distinct soaring strategies based on performance landscapes. First, maximizing distance traveled (maximizing lift-to-drag ratio and minimizing gliding angle) should result in wings with high aspect ratios and middling-to-low wing chordwise camber. Second, maximizing lift extracted from updrafts should result in wings with middling aspect ratios and high wing chordwise camber. Following studies can test these hypotheses using morphological measurements

Targeting of U4/U6 small nuclear RNP assembly factor SART3/p110 to Cajal bodies

The spliceosomal small nuclear RNAs (snRNAs) are distributed throughout the nucleoplasm and concentrated in nuclear inclusions termed Cajal bodies (CBs). A role for CBs in the metabolism of snRNPs has been proposed but is not well understood. The SART3/p110 protein interacts transiently with the U6 and U4/U6 snRNPs and promotes the reassembly of U4/U6 snRNPs after splicing in vitro. Here we report that SART3/p110 is enriched in CBs but not in gems or residual CBs lacking coilin. The U6 snRNP Sm-like (LSm) proteins, also involved in U4/U6 snRNP assembly, were localized to CBs as well. The levels of SART3/p110 and LSm proteins in CBs were reduced upon treatment with the transcription inhibitor α-amanitin, suggesting that CB localization reflects active processes dependent on transcription/splicing. The NH2-terminal HAT domain of SART3/p110 was necessary and sufficient for specific protein targeting to CBs. Overexpression of truncation mutants containing the HAT domain had dominant negative effects on U6 snRNP localization to CBs, indicating that endogenous SART3/p110 plays a role in targeting the U6 snRNP to CBs. We propose that U4 and U6 snRNPs accumulate in CBs for the purpose of assembly into U4/U6 snRNPs by SART3/p110

Functional Morphology of Gliding Flight II. Morphology Follows Predictions of Gliding Performance

The evolution of wing morphology among birds, and its functional consequences, remains an open question, despite much attention. This is in part because the connection between form and function is difficult to test directly. To address this deficit, in prior work we used computational modeling and sensitivity analysis to interrogate the impact of altering wing aspect ratio, camber, and Reynolds number on aerodynamic performance, revealing the performance landscapes that avian evolution has explored. In the present work, we used a dataset of three-dimensionally scanned bird wings coupled with the performance landscapes to test two hypotheses regarding the evolutionary diversification of wing morphology associated with gliding flight behavior: 1) gliding birds would exhibit higher wing aspect ratio and greater chordwise camber than their non-gliding counterparts; and 2) that two strategies for gliding flight exist, with divergent morphological conformations. In support of our first hypothesis, we found evidence of morphological divergence in both wing aspect ratio and camber between gliders and non-gliders, suggesting that wing morphology of birds that utilize gliding flight is under different selective pressures than the wings of non-gliding taxa. Furthermore, we found that these morphological differences also yielded differences in coefficient of lift measured both at the maximum lift to drag ratio and at minimum sinking speed, with gliding taxa exhibiting higher coefficient of lift in both cases. Minimum sinking speed was also lower in gliders than non-gliders. However, contrary to our hypothesis, we found that the maximum ratio of the coefficient of lift to the coefficient of drag differed between gliders and non-gliders. This may point to the need for gliders to maintain high lift capability for takeoff and landing independent of gliding performance, or could be due to the divergence in flight styles among gliders, as not all gliders are predicted to optimize either quantity. However, direct evidence for the existence of two morphologically defined gliding flight strategies was equivocal, with only slightly stronger support for an evolutionary model positing separate morphological optima for these strategies than an alternative model positing a single peak. The absence of a clear result may be an artifact of low statistical power owing to a relatively small sample size of gliding flyers expected to follow the “aerial search” strategy

Probing two topological surface bands of Sb2Te3 by spin-polarized photoemission spectroscopy

Using high resolution spin- and angle-resolved photoemission spectroscopy, we map the electronic structure and spin texture of the surface states of the topological insulator Sb2Te3. In combination with density functional calculations (DFT), we directly show that Sb2Te3 exhibits a partially occupied, single spin-Dirac cone around the Fermi energy, which is topologically protected. DFT obtains a spin polarization of the occupied Dirac cone states of 80-90%, which is in reasonable agreement with the experimental data after careful background subtraction. Furthermore, we observe a strongly spin-orbit split surface band at lower energy. This state is found at 0.8eV below the Fermi level at the gamma-point, disperses upwards, and disappears at about 0.4eV below the Fermi level into two different bulk bands. Along the gamma-K direction, the band is located within a spin-orbit gap. According to an argument given by Pendry and Gurman in 1975, such a gap must contain a surface state, if it is located away from the high symmetry points of the Brillouin zone. Thus, the novel spin-split state is protected by symmetry, too.Comment: 8 pages, 10 figure