109 citations · 109 across the 1 of their papers we have counts for
5 papers
Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural Networks
Keming Zhang, Joshua S. Bloom
Neural networks (NNs) have been shown to be competitive against state-of-the-art feature engineering and random forest (RF) classification of periodic variable stars. Although prev…
Automating Inference of Binary Microlensing Events with Neural Density Estimation
Keming Zhang, Joshua S. Bloom, B. Scott Gaudi +3
Automated inference of binary microlensing events with traditional sampling-based algorithms such as MCMC has been hampered by the slowness of the physical forward model and the pa…
GROWTH on S190814bv: Deep Synoptic Limits on the Optical/Near-Infrared Counterpart to a Neutron Star-Black Hole Merger
Igor Andreoni, Daniel A. Goldstein, Mansi M. Kasliwal +49
On 2019 August 14, the Advanced LIGO and Virgo interferometers detected the high-significance gravitational wave (GW) signal S190814bv. The GW data indicated that the event resulte…
GROWTH on S190510g: DECam Observation Planning and Follow-Up of a Distant Binary Neutron Star Merger Candidate
Igor Andreoni, Daniel A. Goldstein, Shreya Anand +23
The first two months of the third Advanced LIGO and Virgo observing run (2019 April-May) showed that distant gravitational wave (GW) events can now be readily detected. Three candi…
GROWTH on S190426c. II. Real-Time Search for a Counterpart to the Probable Neutron Star-Black Hole Merger using an Automated Difference Imaging Pipeline for DECam
Daniel A. Goldstein, Igor Andreoni, Peter E. Nugent +17
The discovery of a transient kilonova following the gravitational-wave event GW170817 highlighted the critical need for coordinated rapid and wide-field observations, inference, an…