J
James Bennett
Researcher at RMIT University
Publications - 35
Citations - 273
James Bennett is an academic researcher from RMIT University. The author has contributed to research in topics: Space debris & Orbit (dynamics). The author has an hindex of 8, co-authored 35 publications receiving 238 citations. Previous affiliations of James Bennett include University of Western Australia & Space Research Centre.
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Estimation of ballistic coefficients of low altitude debris objects from historical two line elements
TL;DR: In this paper, a new method for estimating ballistic coefficients (BCs) of low perigee debris objects from their historical two line elements (TLEs) is presented, which uses the drag perturbation equation of the semi-major axis of the orbit.
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Accurate orbit predictions for debris orbit manoeuvre using ground-based lasers
TL;DR: In this paper, the authors presented the method and results of a short-term accurate low Earth orbiting (LEO) trajectory prediction using ground-based laser-based ground-BSs.
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Short communication: Genotypic and phenotypic identification of environmental streptococci and association of Lactococcus lactis ssp. lactis with intramammary infections among different dairy farms.
Brenda G. Werner,Paolo Moroni,Paolo Moroni,Gloria Gioia,L. Lavín-Alconero,A. Yousaf,M. E. Charter,B. Moslock Carter,James Bennett,Daryl V. Nydam,F.L. Welcome,Ynte H. Schukken +11 more
TL;DR: Routine use by mastitis testing labs of molecular identification methods for environmental strePTococci and streptococci-like bacteria can further define the role and prevalence of Lc.
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Experimental results of debris orbit predictions using sparse tracking data from Mt. Stromlo
TL;DR: In this article, the authors presented comprehensive results and analyses for the assessment of short-term orbital prediction accuracy. But the main objectives of the analysis were to assess the performance of shortterm (1-2 days) orbital prediction using single-station tracking data from Mt. Stromlo.
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An analysis of very short-arc orbit determination for low-Earth objects using sparse optical and laser tracking data
TL;DR: In this article, the authors investigated the accuracy of very short-arc optical and laser tracking data for objects in low-Earth orbits and found that the reduction in accuracy is not extensive and good orbit predictions are still possible when using only 5 seconds of data from the beginning of each pass.