56 research outputs found
Frozen Mode Regime in an Optical Waveguide With Distributed Bragg Reflector
We introduce a glide symmetric optical waveguide exhibiting a stationary
inflection point (SIP) in the Bloch wavenumber dispersion relation. An SIP is a
third order exceptional point of degeneracy (EPD) where three Bloch eigenmodes
coalesce to form a so-called frozen mode with vanishing group velocity and
diverging amplitude. We show that the incorporation of chirped distributed
Bragg reflectors and distributed coupling between waveguides in the periodic
structure facilitates the SIP formation and greatly enhances the
characteristics of the frozen mode regime. We confirm the existence of an SIP
in two ways: by observing the flatness of the dispersion diagram and also by
using a coalescence parameter describing the separation of the three
eigenvectors collapsing on each other. We find that in the absence of losses,
both the quality factor and the group delay at the SIP grow with the cubic
power of the cavity length. The frozen mode regime can be very attractive for
light amplification and lasing, in optical delay lines, sensors, and
modulators.Comment: 11 pages, 14 figure
Design of a Modified Coupled Resonators Optical Waveguide Supporting a Frozen Mode
We design a three-way silicon optical waveguide with the Bloch dispersion
relation supporting a stationary inflection point (SIP). The SIP is a third
order exceptional point of degeneracy (EPD) where three Bloch modes coalesce
forming the frozen mode with greatly enhanced amplitude. The proposed design
consists of a coupled resonators optical waveguide (CROW) coupled to a parallel
straight waveguide. At any given frequency, this structure supports three pairs
of reciprocal Bloch eigenmodes, propagating and/or evanescent. In addition to
full-wave simulations, we also employ a so-called ''hybrid model'' that uses
transfer matrices obtained from full-wave simulations of sub-blocks of the unit
cell. This allows us to account for radiation losses and enables a design
procedure based on minimizing the eigenmodes' coalescence parameter. The
proposed finite-length CROW displays almost unitary transfer function at the
SIP frequency, implying a nearly perfect conversion of the input light into the
frozen mode. The group delay and the effective quality factor at the SIP
frequency show an scaling, where is the number of unit cells in the
cavity. The frozen mode in the CROW can be utilized in various applications
like sensors, lasers and optical delay lines.Comment: 14 pages, 17 figure
Design and Build of Reactor Simulator for Fission Surface Power Technology Demonstrator Unit
The Nuclear Systems Team at NASA Marshall Space Flight Center (MSFC) focuses on technology development for state of the art capability in non-nuclear testing of nuclear system and Space Nuclear Power for fission reactor systems for lunar and Mars surface power generation as well as radioisotope power systems for both spacecraft and surface applications. Currently being designed and developed is a reactor simulator (RxSim) for incorporation into the Technology Demonstrator Unit (TDU) for the Fission Surface Power System (FSPS) Program, which is supported by multiple national laboratories and NASA centers. The ultimate purpose of the RxSim is to provide heated NaK to a pair of Stirling engines in the TDU. The RxSim includes many different systems, components, and instrumentation that have been developed at MSFC while working with pumped NaK systems and in partnership with the national laboratories and NASA centers. The main components of the RxSim are a core, a pump, a heat exchanger (to mimic the thermal load of the Stirling engines), and a flow meter for tests at MSFC. When tested at NASA Glenn Research Center (GRC) the heat exchanger will be replaced with a Stirling power conversion engine. Additional components include storage reservoirs, expansion volumes, overflow catch tanks, safety and support hardware, instrumentation (temperature, pressure, flow) for data collection, and power supplies. This paper will discuss the design and current build status of the RxSim for delivery to GRC in early 2012
Effect of atomic layer deposition on the quality factor of silicon nanobeam cavities
In this work we study the effect of thin-film deposition on the quality factor (Q) of silicon nanobeam cavities. We observe an average increase in the Q of 38±31% in one sample and investigate the dependence of this increase on the initial nanobeam hole sizes. We note that this process can be used to modify cavities that have larger than optimal hole sizes following fabrication. Additionally, the technique allows the tuning of the cavity mode wavelength and the incorporation of new materials, without significantly degrading Q
2,2,3,3′-Tetraphenyl-7,7′-biquinoxaline
In the crystal structure of the title compound, C40H26N4, molecules reside on crystallographic centers of inversion and are linked via C—H⋯N interactions about inversion centers into one-dimensional chains: longer C—H⋯π(arene) interactions complete the intermolecular interactions
Broadband Thermal Imaging using Meta-Optics
Subwavelength diffractive optics known as meta-optics have demonstrated the
potential to significantly miniaturize imaging systems. However, despite
impressive demonstrations, most meta-optical imaging systems suffer from strong
chromatic aberrations, limiting their utilities. Here, we employ inverse-design
to create broadband meta-optics operating in the long-wave infrared (LWIR)
regime (8 - 12 m). Via a deep-learning assisted multi-scale differentiable
framework that links meta-atoms to the phase, we maximize the
wavelength-averaged volume under the modulation transfer function (MTF) of the
meta-optics. Our design framework merges local phase-engineering via meta-atoms
and global engineering of the scatterer within a single pipeline. We
corroborate our design by fabricating and experimentally characterizing
all-silicon LWIR meta-optics. Our engineered meta-optic is complemented by a
simple computational backend that dramatically improves the quality of the
captured image. We experimentally demonstrate a six-fold improvement of the
wavelength-averaged Strehl ratio over the traditional hyperboloid metalens for
broadband imaging.Comment: 28 pages, 12 figure
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Genicular artery embolisation in patients with osteoarthritis of the knee (GENESIS 2): protocol for a double-blind randomised sham-controlled trial
Knee osteoarthritis is a leading cause of chronic disability and economic burden. In many patients who are not surgical candidates, existing treatment options are insufficient. Clinical evidence for a new treatment approach, genicular artery embolisation (GAE), is currently limited to single arm cohort, or small population randomised studies. This trial will investigate the use of a permanent embolic agent for embolisation of abnormal genicular arterial vasculature to reduce pain in patients with mild to moderate knee osteoarthritis. Up to 110 participants, 45 years or older, with knee pain for ≥ 3 months resistant to conservative treatment will be randomised (1:1) to GAE or a sham procedure. The treatment group will receive embolisation using 100-micron Embozene™ microspheres (Varian, a Siemens Healthineers Company) (investigational use for this indication in the UK), and the sham group will receive 0.9% saline in an otherwise identical procedure. Patients will be followed for 24 months. At 6 months, sham participants will be offered crossover to GAE. The primary endpoint is change of 4 Knee Injury and OA Outcome Score subscales (KOOS ) at 6 months post-randomisation. The study will also evaluate quality of life, health economics, imaging findings, and psychosocial pain outcomes. The primary manuscript will be submitted for publication after all participants complete 6 months of follow-up. The trial is expected to run for 3.5 years
Cloud Properties of CERES-MODIS Edition 4 and CERES-VIIRS Edition 1
The Clouds and Earth's Radiant Energy System (CERES) analyzes MODerate-resolution Imaging Spectroradiometer (MODIS) data and Visible Infrared Imaging Radiometer Suite (VIIRS) to derive cloud properties that are combine with aerosol and CERES broadband flux data to create a multi-parameter data set for climate study. CERES has produced over 15 years of data from Terra and over 13 years of data from Aqua using the CERES-MODIS Edition-2 cloud retrieval algorithm. A recently revised algorithm, CERESMODIS Edition 4, has been developed and is now generating enhanced cloud data for climate research (over 10 years for Terra and 8 years for Aqua). New multispectral retrievals of properties are included along with a multilayer cloud retrieval system. Cloud microphysical properties are reported at 3 wavelengths, 0.65, 1.24, and 2.1 microns to enable better estimates of the vertical profiles of cloud water contents. Cloud properties over snow are retrieved using the 1.24-micron channel. A new CERES-VIIRS cloud retrieval package was developed for the VIIRS spectral complement and is currently producing the CERES-VIIRS Edition 1 cloud dataset. The results from CERES-MODIS Edition 4 and CERES-VIIRS Edition 1 are presented and compared with each other and other datasets, including CALIPSO, CloudSat and the CERES-MODIS Edition-2 results
Solving patients with rare diseases through programmatic reanalysis of genome-phenome data.
Funder: EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health); doi: https://doi.org/10.13039/100011272; Grant(s): 305444, 305444Funder: Ministerio de Economía y Competitividad (Ministry of Economy and Competitiveness); doi: https://doi.org/10.13039/501100003329Funder: Generalitat de Catalunya (Government of Catalonia); doi: https://doi.org/10.13039/501100002809Funder: EC | European Regional Development Fund (Europski Fond za Regionalni Razvoj); doi: https://doi.org/10.13039/501100008530Funder: Instituto Nacional de Bioinformática ELIXIR Implementation Studies Centro de Excelencia Severo OchoaFunder: EC | EC Seventh Framework Programm | FP7 Health (FP7-HEALTH - Specific Programme "Cooperation": Health)Reanalysis of inconclusive exome/genome sequencing data increases the diagnosis yield of patients with rare diseases. However, the cost and efforts required for reanalysis prevent its routine implementation in research and clinical environments. The Solve-RD project aims to reveal the molecular causes underlying undiagnosed rare diseases. One of the goals is to implement innovative approaches to reanalyse the exomes and genomes from thousands of well-studied undiagnosed cases. The raw genomic data is submitted to Solve-RD through the RD-Connect Genome-Phenome Analysis Platform (GPAP) together with standardised phenotypic and pedigree data. We have developed a programmatic workflow to reanalyse genome-phenome data. It uses the RD-Connect GPAP's Application Programming Interface (API) and relies on the big-data technologies upon which the system is built. We have applied the workflow to prioritise rare known pathogenic variants from 4411 undiagnosed cases. The queries returned an average of 1.45 variants per case, which first were evaluated in bulk by a panel of disease experts and afterwards specifically by the submitter of each case. A total of 120 index cases (21.2% of prioritised cases, 2.7% of all exome/genome-negative samples) have already been solved, with others being under investigation. The implementation of solutions as the one described here provide the technical framework to enable periodic case-level data re-evaluation in clinical settings, as recommended by the American College of Medical Genetics
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