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    Superluminous supernovae from the Dark Energy Survey

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    Author
    DES Collaboration
    Affiliation
    Department of Astronomy/Steward Observatory, University of Arizona
    Issue Date
    2021
    Keywords
    Supernovae: general
    
    Metadata
    Show full item record
    Publisher
    Oxford University Press
    Citation
    Angus, C. R., Smith, M., Sullivan, M., Inserra, C., Wiseman, P., D’Andrea, C. B., Thomas, B. P., Nichol, R. C., Galbany, L., Childress, M., Asorey, J., Brown, P. J., Casas, R., Castander, F. J., Curtin, C., Frohmaier, C., Glazebrook, K., Gruen, D., Gutierrez, C., … DES Collaboration. (2021). Superluminous supernovae from the Dark Energy Survey. Monthly Notices of the Royal Astronomical Society, 487(2), 2215–2241.
    Journal
    Monthly Notices of the Royal Astronomical Society
    Rights
    Copyright © 2019 The Author(s).
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We present a sample of 21 hydrogen-free superluminous supernovae (SLSNe-I) and one hydrogen-rich SLSN (SLSN-II) detected during the five-year Dark Energy Survey (DES). These SNe, located in the redshift range 0.220 < z < 1.998, represent the largest homogeneously selected sample of SLSN events at high redshift. We present the observed g, r, i, z light curves for these SNe, which we interpolate using Gaussian processes. The resulting light curves are analysed to determine the luminosity function of SLSNe-I, and their evolutionary timescales. The DES SLSN-I sample significantly broadens the distribution of SLSN-I light-curve properties when combined with existing samples from the literature. We fit a magnetar model to our SLSNe, and find that this model alone is unable to replicate the behaviour of many of the bolometric light curves. We search the DES SLSN-I light curves for the presence of initial peaks prior to the main light-curve peak. Using a shock breakout model, our Monte Carlo search finds that 3 of our 14 events with pre-max data display such initial peaks. However, 10 events show no evidence for such peaks, in some cases down to an absolute magnitude of <−16, suggesting that such features are not ubiquitous to all SLSN-I events. We also identify a red pre-peak feature within the light curve of one SLSN, which is comparable to that observed within SN2018bsz. © 2019 The Author(s)
    Note
    Immediate access
    ISSN
    0035-8711
    DOI
    10.1093/mnras/stz1321
    Version
    Final published version
    ae974a485f413a2113503eed53cd6c53
    10.1093/mnras/stz1321
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    UA Faculty Publications

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