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    Assessment of Ionospheric Activity Tolerances for Epoch of Reionization Science with the Murchison Widefield Array

    Access Status
    Fulltext not available
    Authors
    Trott, Cathryn
    Jordan, Christopher
    Murray, Steven
    Pindor, B.
    Mitchell, D.
    Wayth, Randall
    Line, J.
    McKinley, B.
    Beardsley, A.
    Bowman, J.
    Briggs, F.
    Hazelton, B.
    Hewitt, J.
    Jacobs, D.
    Morales, M.
    Pober, J.
    Sethi, S.
    Shankar, U.
    Subrahmanyan, R.
    Tegmark, M.
    Tingay, Steven
    Webster, R.
    Wyithe, J.
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Trott, C. and Jordan, C. and Murray, S. and Pindor, B. and Mitchell, D. and Wayth, R. and Line, J. et al. 2018. Assessment of Ionospheric Activity Tolerances for Epoch of Reionization Science with the Murchison Widefield Array. Astrophysical Journal. 867 (1).
    Source Title
    Astrophysical Journal
    DOI
    10.3847/1538-4357/aae314
    ISSN
    0004-637X
    School
    Curtin Institute of Radio Astronomy (Physics)
    URI
    http://hdl.handle.net/20.500.11937/71677
    Collection
    • Curtin Research Publications
    Abstract

    © 2018. The American Astronomical Society. All rights reserved.. Structure imprinted in foreground extragalactic point sources by ionospheric refraction has the potential to contaminate Epoch of Reionization (EoR) power spectra of the 21 cm emission line of neutral hydrogen. The alteration of the spatial and spectral structure of foreground measurements due to total electron content gradients in the ionosphere creates a departure from the expected sky signal. We present a general framework for understanding the signatures of ionospheric behavior in the 2D neutral hydrogen power spectrum measured by a low-frequency radio interferometer. Two primary classes of ionospheric behavior are considered, corresponding to dominant modes observed in Murchison Widefield Array (MWA) EoR data, namely, anisotropic structured wave behavior and isotropic turbulence. Analytic predictions for power spectrum bias due to this contamination are computed and compared with simulations. We then apply the ionospheric metric described in Jordan et al. to study the impact of ionospheric structure on MWA data, by dividing MWA EoR data sets into classes with good and poor ionospheric conditions, using sets of matched 30-minute observations from 2014 September. The results are compared with the analytic and simulated predictions, demonstrating the observed bias in the power spectrum when the ionosphere is active (displays coherent structures or isotropic turbulence). The analysis demonstrates that unless ionospheric activity can be quantified and corrected, active data should not be included in EoR analysis in order to avoid systematic biases in cosmological power spectra. When data are corrected with a model formed from the calibration information, bias reduces below the expected 21 cm signal level. Data are considered "quiet" when the median measured source position offsets are less than 10.?-15.?.

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