most citedDeep Generative Modeling of Periodic Variable Stars Using Physical Parameters

7 citations · 7 across the 1 of their papers we have counts for

collaborators

4 papers

astro-ph.IM20207 cited

Deep Generative Modeling of Periodic Variable Stars Using Physical Parameters

Jorge Martínez-Palomera, Joshua S. Bloom, Ellianna S. Abrahams

The ability to generate physically plausible ensembles of variable sources is critical to the optimization of time-domain survey cadences and the training of classification models…

astro-ph.HE2019

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…

astro-ph.HE2019

GROWTH on S190425z: Searching thousands of square degrees to identify an optical or infrared counterpart to a binary neutron star merger with the Zwicky Transient Facility and Palomar Gattini IR

Michael W. Coughlin, Tomás Ahumada, Shreya Anand +76

The third observing run by LVC has brought the discovery of many compact binary coalescences. Following the detection of the first binary neutron star merger in this run (LIGO/Virg…

astro-ph.HE2019

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…