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43 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…
An extremely energetic supernova from a very massive star in a dense medium
Matt Nicholl, Peter K. Blanchard, Edo Berger +14
The interaction of a supernova with a circumstellar medium (CSM) can dramatically increase the emitted luminosity by converting kinetic energy to thermal energy. In 'superluminous'…
Type Ia Supernovae are Excellent Standard Candles in the Near-Infrared
Arturo Avelino, Andrew S. Friedman, Kaisey S. Mandel +3
We analyze a set of 89 Type Ia supernovae (SN Ia) that have both optical and near-infrared (NIR) photometry to derive distances and construct low redshift () Hubble diagr…
First Cosmology Results using Type Ia Supernova from the Dark Energy Survey: Simulations to Correct Supernova Distance Biases
R. Kessler, D. Brout, C. B. D'Andrea +103
We describe catalog-level simulations of Type Ia supernova (SN~Ia) light curves in the Dark Energy Survey Supernova Program (DES-SN), and in low-redshift samples from the Center fo…
Cosmological Constraints from Multiple Probes in the Dark Energy Survey
DES Collaboration, T. M. C. Abbott, A. Alarcon +166
The combination of multiple observational probes has long been advocated as a powerful technique to constrain cosmological parameters, in particular dark energy. The Dark Energy Su…