Hydrogen-poor superluminous supernovae from the Pan-STARRS1 Medium Deep Survey
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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 (0.5-5)× 1044 erg s-1 and lower limits on the total radiated energies of (0.3-2)× 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 σ =0.7 mag.
Lunnan , R , Chornock , R , Berger , E , Jones , D O , Rest , A , Czekala , I , Dittmann , J , Drout , M R , Foley , R J , Fong , W , Kirshner , R P , Laskar , T , Leibler , C N , Margutti , R , Milisavljevic , D , Narayan , G , Pan , Y-C , Riess , A G , Roth , K C , Sanders , N E , Scolnic , D , Smartt , S J , Smith , K W , Chambers , K C , Draper , P W , Flewelling , H , Huber , M E , Kaiser , N , Kudritzki , R P , Magnier , E A , Metcalfe , N , Wainscoat , R J , Waters , C & Willman , M 2018 , ' Hydrogen-poor superluminous supernovae from the Pan-STARRS1 Medium Deep Survey ' , Astrophysical Journal , vol. 852 , no. 2 , 81 . https://doi.org/10.3847/1538-4357/aa9f1a
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DescriptionFunding: The UCSC group is supported in part by NSF grant AST-1518052, the Gordon & Betty Moore Foundation, and from fellowships from the Alfred P. Sloan Foundation and the David and Lucile Packard Foundation to R.J.F. S.J.S. acknowledges funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007–2013)/ERC Grant agreement no  and STFC grants ST/I001123/1 and ST/L000709/1.
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