Superluminous supernovae from the Dark Energy Survey

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, Romer, A K, DES Collaboration, and others, (2019) Superluminous supernovae from the Dark Energy Survey. Monthly Notices of the Royal Astronomical Society, 487 (2). pp. 2215-2241. ISSN 0035-8711

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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.

Item Type: Article
Keywords: supernovae: general
Schools and Departments: School of Mathematical and Physical Sciences > Physics and Astronomy
Subjects: Q Science > QC Physics
Depositing User: Amelia Redman
Date Deposited: 12 Sep 2019 11:56
Last Modified: 12 Sep 2019 11:56
URI: http://sro.sussex.ac.uk/id/eprint/85711

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