346 citations · 1.7k across the 14 of their papers we have counts for
14 papers
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…
PS1-13cbe: The Rapid "Turn on" of a Seyfert 1
Reza Katebi, Ryan Chornock, Edo Berger +11
We present a nuclear transient event, PS1-13cbe, that was first discovered in the Pan-STARRS1 survey in 2013. The outburst occurred in the nucleus of the galaxy SDSS J222153.87+003…
The Foundation Supernova Survey: Measuring Cosmological Parameters with Supernovae from a Single Telescope
D. O. Jones, D. M. Scolnic, R. J. Foley +27
Measurements of the dark energy equation-of-state parameter, , have been limited by uncertainty in the selection effects and photometric calibration of Type Ia supernova…
The Foundation Supernova Survey: Motivation, Design, Implementation, and First Data Release
Ryan J. Foley, Daniel Scolnic, Armin Rest +25
The Foundation Supernova Survey aims to provide a large, high-fidelity, homogeneous, and precisely-calibrated low-redshift Type Ia supernova (SN Ia) sample for cosmology. The calib…