MURAL - Maynooth University Research Archive Library



    Simulation and performance prediction for the radiation patterns of few-moded and multi-moded corrugated horns


    Peacocke, T. and Murphy, J.Anthony (2010) Simulation and performance prediction for the radiation patterns of few-moded and multi-moded corrugated horns. In: Proceedings of the Fourth European Conference on Antennas and Propagation. IEEE. ISBN 9788476534724

    [img]
    Preview
    Download (137kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Corrugated horn assemblies are the most common method of feeding bolometer cavities for power detection on CMB experiments. Traditionally these have been single moded, whether polarised or unpolarised, but if polarisation is not required greater throughput can be obtained from few-moded or multi-moded horns. The simulation of these assemblies is far more computationally intensive than for single moded systems, and the effort is often compounded by the design of the assemblies. Here we show that multi-moded horn assemblies can be modelled reliably and do perform as required, but performance prediction requires attention to manufacturing tolerances as well as the system design.

    Item Type: Book Section
    Additional Information: Cite as: T. Peacocke and J. A. Murphy, "Simulation and performance prediction for the radiation patterns of few-moded and multi-moded corrugated horns," Proceedings of the Fourth European Conference on Antennas and Propagation, Barcelona, Spain, 2010, pp. 1-5.
    Keywords: radiation pattern; few-moded corrugated horn; multimoded corrugated horn; power detection; polarisation;
    Academic Unit: Faculty of Science and Engineering > Experimental Physics
    Item ID: 14044
    Depositing User: Dr. Anthony Murphy
    Date Deposited: 19 Feb 2021 15:28
    Publisher: IEEE
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year