2,839 research outputs found

    Numerical Modeling of the Finite Well with Implications for Observing Quantum Interference Between Coherent Electron Wave

    Get PDF
    We use numerical modeling in Fortran to investigate the claims of Wollenhaupt et al. (2006) and Hommelhoff et al. (2002) regarding ultra-­short electron pulses ionized via laser excitation of a tungsten nanotip. We assume that the nanotip acts as a finite one‐dimensional potential well with the depth equal to the work function of tungsten and the width of the order of the radius of curvature of the nanotip. The interactions of propagating Gaussian wave packets are modeled in order to give insight into the temporal and spatial evolution of the generated electron wave packets. Furthermore we hope to demonstrate the transference of the temporal coherence of the light pulse to the free electron wave packets generated

    Feasibility of Orion Crew Module Entry on Half of Available Propellant Due to Tank Isolation Fault

    Get PDF
    The fuel tank isolation as a result of leak or rupture can leave an Orion Crew Module with only half of the loaded propellant for ISS return atmospheric entry. To assess the feasibility of returning under this condition, an analysis of various entry control options with deliberate degradation of control performance was performed. The study determined that a ballistic entry without a raise burn, a steeper flight path trajectory, relaxed atmospheric pitch/yaw rate damping, and degraded touchdown control could achieve 2-sigma requirements compliance with a 2-sigma fuel usage that is less than half of the liftoff propellant loading. The results of this analysis indicate that an entry with only half the nominal propellant load is feasible following a tank isolation fault

    GPS Technology for Semi-Aquatic Turtle Research

    Get PDF
    Global positioning system (GPS) telemetry units are now small enough to be deployed on terrestrial and semi-aquatic turtles. Many of these GPS units use snapshot technology which collects raw satellite and timestamp data during brief periods of data recording to minimize size. We evaluated locations from snapshot GPS units in stationary tests and on wood turtles (Glyptemys insculpta) in northeastern Minnesota. Stationary GPS units were placed in wood turtle habitat to evaluate location accuracy, fix success rate, and directional bias. The GPS fix success rate and accuracy were reduced in closed canopy conditions and when the stationary GPS unit was placed under a log to simulate wood turtle hiding behavior. We removed GPS location outliers and used a moving average calculation to reduce mean location error in stationary tests from 27 m (SD = 38) to 10 m (SD = 8). We then deployed GPS units and temperature loggers on wood turtles and collected 122,657 GPS locations and 242,781 temperature readings from 26 turtles from May to September 2015 and 2016. Location outliers accounted for 12% of locations when the GPS receiver was on a turtle. We classified each wood turtle location based on the GPS location and by comparing temperature profiles from river, sun, and shaded locations to the temperature logger on the turtle. We estimated that wood turtles were on land 68% (SD = 12) of the time from May to September. The fix success rate for land locations was 38% (SD = 9), indicating that wood turtles often use habitats with obstructed views of the sky. Mean net daily movement was 55 m (SD = 192). Our results demonstrate that snapshot GPS units and temperature loggers provide fine-scale GPS data useful in describing spatial ecology and habitat use of semi-aquatic turtles

    Woolf et als GWAS by subtraction is not useful for cross-generational Mendelian randomization studies

    Full text link
    Mendelian randomization (MR) is an epidemiological method that can be used to strengthen causal inference regarding the relationship between a modifiable environmental exposure and a medically relevant trait and to estimate the magnitude of this relationship1. Recently, there has been considerable interest in using MR to examine potential causal relationships between parental phenotypes and outcomes amongst their offspring. In a recent issue of BMC Research Notes, Woolf et al (2023) present a new method, GWAS by subtraction, to derive genome-wide summary statistics for paternal smoking and other paternal phenotypes with the goal that these estimates can then be used in downstream (including two sample) MR studies. Whilst a potentially useful goal, Woolf et al. (2023) focus on the wrong parameter of interest for useful genome-wide association studies (GWAS) and downstream cross-generational MR studies, and the estimator that they derive is neither efficient nor appropriate for such use.Comment: 8 pages, 0 figure
    corecore