105 citations · 394 across the 4 of their papers we have counts for
4 papers
Star formation and morphological properties of galaxies in the Pan-STARRS survey- I. A machine learning approach to galaxy and supernova classification
A. Baldeschi, A. Miller, M. Stroh +2
We present a classification of galaxies in the Pan-STARRS1 (PS1) 3 survey based on their recent star formation history and morphology. Specifically, we train and test two Random…
Modeling Dust and Starlight in Galaxies Observed by Spitzer and Herschel: The KINGFISH Sample
G. Aniano, B. T. Draine, L. K. Hunt +30
Dust and starlight are modeled for the KINGFISH project galaxies. With data from 3.6 micron to 500 micron, models are strongly constrained. For each pixel in each galaxy we estimat…
A Morphological Classification Model to Identify Unresolved PanSTARRS1 Sources: Application in the ZTF Real-Time Pipeline
Yutaro Tachibana, A. A. Miller
In the era of large photometric surveys, the importance of automated and accurate classification is rapidly increasing. Specifically, the separation of resolved and unresolved sour…
The first tidal disruption flare in ZTF: from photometric selection to multi-wavelength characterization
Sjoert van Velzen, Suvi Gezari, S. Bradley Cenko +37
We present Zwicky Transient Facility (ZTF) observations of the tidal disruption flare AT2018zr/PS18kh reported by Holoien et al. and detected during ZTF commissioning. The ZTF ligh…