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Solar Orbiter Radio and Plasma Waves – Time Domain Sampler: In-flight performance and first results

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    0550709 - ÚFA 2022 RIV FR eng J - Journal Article
    Souček, Jan - Píša, David - Kolmašová, Ivana - Uhlíř, Luděk - Lán, Radek - Santolík, Ondřej - Krupař, V. - Krupařová, Oksana - Baše, Jiří - Maksimovic, M. - Bale, S. D. - Chust, T. - Khotyaintsev, Y. V. - Krasnoselskikh, V. - Kretzschmar, M. - Lorfèvre, E. - Plettemeier, D. - Steller, M. - Štverák, Štěpán - Vaivads, A. - Vecchio, A. - Bérard, D. - Bonnin, X.
    Solar Orbiter Radio and Plasma Waves – Time Domain Sampler: In-flight performance and first results.
    Astronomy & Astrophysics. Roč. 656, Dec 14 (2021), č. článku A26. ISSN 0004-6361. E-ISSN 1432-0746
    Grant - others:European Space Agency ESA(XE) ESA 4000102636
    Program: ESA-Prodex
    Institutional support: RVO:68378289
    Keywords : plasmas * solar wind * radio radiation * waves * instruments * heliosphere
    OECD category: Fluids and plasma physics (including surface physics)
    Impact factor: 6.240, year: 2021
    Method of publishing: Open access
    https://www.aanda.org/articles/aa/full_html/2021/12/aa40948-21/aa40948-21.html

    Context. The Radio and Plasma Waves (RPW) instrument on board Solar Orbiter has been operating nearly continuously since the launch in February 2020. The Time Domain Sampler (TDS) receiver of the RPW instrument is dedicated to waveform measurements of plasma waves and dust impact signatures in an intermediate frequency range from 0.2 to 200 kHz.
    Aims. This article presents the first data from the RPW-TDS receiver and discusses the in-flight performance of the instrument and, in particular, the on-board wave and dust detection algorithm. We present the TDS data products and its scientific operation. We demonstrate the content of the dataset on several examples. In particular, we study the distribution of solar Langmuir waves in the first year of observations and one Type III burst event.
    Methods. The on-board detection algorithm is described in detail in this article and classifies the observed waveform snapshots, identifying plasma waves and dust impacts based on the ratio of their maximum amplitude to their median and on the spectral bandwidth. The algorithm allows TDS to downlink the most scientifically relevant waveforms and to perform an on-board statistical characterization of the processed data.
    Results. The detection algorithm of TDS is shown to perform very well in its detection of plasma waves and dust impacts with a high accuracy. The initial analysis of statistical data returned by TDS shows that sporadic Langmuir waves that are not associated with Type III events are routinely observed in the inner heliosphere, with a clear increase in occurrence rate closer to the Sun. We also present an example of RPW observations during an encounter of the source region of a Type III burst, which exploits the on-board calculated histograms data.
    Permanent Link: http://hdl.handle.net/11104/0326045

     
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