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SuperRAENN: A Semi-supervised Supernova Photometric Classification Pipeline Trained on Pan-STARRS1 Medium Deep Survey Supernovae
V. Ashley Villar, Griffin Hosseinzadeh, Edo Berger +18
Automated classification of supernovae (SNe) based on optical photometric light curve information is essential in the upcoming era of wide-field time domain surveys, such as the Le…
Photometric Classification of 2315 Pan-STARRS1 Supernovae with Superphot
Griffin Hosseinzadeh, Frederick Dauphin, V. Ashley Villar +17
The classification of supernovae (SNe) and its impact on our understanding of the explosion physics and progenitors have traditionally been based on the presence or absence of cert…
PS15cey and PS17cke: prospective candidates from the Pan-STARRS Search for Kilonovae
Owen R. McBrien, Stephen J. Smartt, Mark E. Huber +22
Time domain astronomy was revolutionised with the discovery of the first kilonova, AT2017gfo, in August 2017 which was associated with the gravitational wave signal GW170817. Since…
Hydrogen-Poor Superluminous Supernovae from the Pan-STARRS1 Medium Deep Survey
R. Lunnan, R. Chornock, E. Berger +31
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 o…