40 citations · 41 across the 3 of their papers we have counts for
7 papers
Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference
Bingjie Wang, Joel Leja, Ashley Villar +1
Upcoming astronomical surveys will observe billions of galaxies across cosmic time, providing a unique opportunity to map the many pathways of galaxy assembly to an incredibly high…
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes
Ji Won Park, Ashley Villar, Yin Li +5
Among the most extreme objects in the Universe, active galactic nuclei (AGN) are luminous centers of galaxies where a black hole feeds on surrounding matter. The variability patter…
Nebular Spectroscopy of Kepler's Brightest Supernova
G. Dimitriadis, C. Rojas-Bravo, C. D. Kilpatrick +9
We present late-time (240-260 days after peak brightness) optical photometry and nebular (+236 and +264 days) spectroscopy of SN 2018oh, the brightest Type Ia supernova (SN I…
K2 Observations of SN 2018oh Reveal a Two-Component Rising Light Curve for a Type Ia Supernova
G. Dimitriadis, R. J. Foley, A. Rest +145
We present an exquisite, 30-min cadence Kepler (K2) light curve of the Type Ia supernova (SN Ia) 2018oh (ASASSN-18bt), starting weeks before explosion, covering the moment of explo…
Photometric and Spectroscopic Properties of Type Ia Supernova 2018oh with Early Excess Emission from the 2 Observations
W. Li, X. Wang, J. Vinkó +160
Supernova (SN) 2018oh (ASASSN-18bt) is the first spectroscopically-confirmed type Ia supernova (SN Ia) observed in the field. The data revealed an excess emission…
Seeing Double: ASASSN-18bt Exhibits a Two-Component Rise in the Early-Time K2 Light Curve
B. J. Shappee, T. W. -s. Holoien, M. R. Drout +109
On 2018 Feb. 4.41, the All-Sky Automated Survey for SuperNovae (ASAS-SN) discovered ASASSN-18bt in the K2 Campaign 16 field. With a redshift of z=0.01098 and a peak apparent magnit…