Hydrogen-poor Superluminous Supernovae from the Pan-STARRS1 Medium Deep Survey

R. Lunnan, R. Chornock, E. Berger, D. O. Jones, A. Rest, I. Czekala, J. Dittmann, M. R. Drout, R. J. Foley, W. Fong, R. P. Kirshner, T. Laskar, C. N. Leibler, R. Margutti, D. Milisavljevic, G. Narayan, Y. C. Pan, A. G. Riess, K. C. Roth, N. E. SandersD. Scolnic, S. J. Smartt, K. W. Smith, K. C. Chambers, P. W. Draper, H. Flewelling, M. E. Huber, N. Kaiser, R. P. Kudritzki, E. A. Magnier, N. Metcalfe, R. J. Wainscoat, C. Waters, M. Willman

Research output: Contribution to journalArticlepeer-review


We present light curves and classification spectra of 17 hydrogen-poor superluminous supernovae (SLSNe) from the Pan-STARRS1 Medium Deep Survey (PS1 MDS). Our sample contains all objects from the PS1 MDS sample with spectroscopic classification that are similar to either of the prototypes SN 2005ap or SN 2007bi, without an explicit limit on luminosity. With a redshift range 0.3 < z < 1.6, PS1 MDS is the first SLSN sample primarily probing the high-redshift population; our multifilter PS1 light curves probe the rest-frame UV emission, and hence the peak of the spectral energy distribution. We measure the temperature evolution and construct bolometric light curves, and find peak luminosities of (0.55) × 1044 erg s-1 and lower limits on the total radiated energies of (0.32) × 1051 erg. The light curve shapes are diverse, with both rise and decline times spanning a factor of ∼5 and several examples of double-peaked light curves. When correcting for the flux-limited nature of our survey, we find a median peak luminosity at 4000 Å of M4000 = -21.1 mag and a spread of s = 0.7 mag.

Original languageEnglish (US)
Article number81
JournalAstrophysical Journal
Issue number2
StatePublished - Jan 10 2018
Externally publishedYes


  • supernovae: general

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


Dive into the research topics of 'Hydrogen-poor Superluminous Supernovae from the Pan-STARRS1 Medium Deep Survey'. Together they form a unique fingerprint.

Cite this