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    Planck 2013 results. X. HFI energetic particle effects: characterization, removal, and simulation

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    Identificadores
    URI: http://hdl.handle.net/10902/13913
    DOI: 10.1051/0004-6361/201321577
    ISSN: 0004-6361
    ISSN: 1432-0746
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    Autoría
    Ade, Peter Anthony Robert; Barreiro Vilas, Rita BelénAutoridad Unican; Curto Martín, Andrés; Diego Rodríguez, José MaríaAutoridad Unican; González-Nuevo González, Joaquín; Herranz Muñoz, DiegoAutoridad Unican; López-Caniego Alcarria, Marcos; Martínez González, Enrique; Toffolatti, Luigi; Vielva Martínez, PatricioAutoridad Unican
    Fecha
    2014-11
    Derechos
    © ESO 2014
    Publicado en
    A&A 571, A10 (2014)
    Editorial
    EDP Sciences
    Enlace a la publicación
    https://doi.org/10.1051/0004-6361/201321577
    Resumen/Abstract
    We describe the detection, interpretation, and removal of the signal resulting from interactions of high energy particles with the Planck High Frequency Instrument (HFI). There are two types of interactions: heating of the 0.1 K bolometer plate; and glitches in each detector time stream. The transientresponses to detector glitch shapes are not simple single-pole exponential decays and fall into three families. The glitch shape for each family has been characterized empirically in flight data and these shapes have been used to remove glitches from the detector time streams. The spectrum of the count rate per unit energy is computed for each family and a correspondence is made to the location on the detector of the particle hit. Most of the detected glitches are from Galactic protons incident on the die frame supporting the micro-machined bolometric detectors. In the Planck orbit at L2, the particle flux is around 5 cm-2 s-1 and is dominated by protons incident on the spacecraft with energy >39 MeV, at a rate of typically one event per second per detector. Different categories of glitches have different signatures in the time stream. Two of the glitch types have a low amplitude component that decays over nearly 1?s. This component produces excess noise if not properly removed from the time-ordered data. We have used a glitch detection and subtraction method based on the joint fit of population templates. The application of this novel glitch subtraction method removes excess noise from the time streams. Using realistic simulations, we find that this method does not introduce signal bias into the Planck data.
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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contacto | Sugerencias
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 4.0 España