1 code implementation • 25 Jun 2021 • Mehdi Rezaie, Ashley J. Ross, Hee-Jong Seo, Eva-Maria Mueller, Will J. Percival, Grant Merz, Reza Katebi, Razvan C. Bunescu, Julian Bautista, Joel R. Brownstein, Etienne Burtin, Kyle Dawson, Héctor Gil-Marín, Jiamin Hou, Eleanor B. Lyke, Axel de la Macorra, Graziano Rossi, Donald P. Schneider, Pauline Zarrouk, Gong-Bo Zhao
We develop a neural network-based approach to mitigate spurious fluctuations in the density field caused by spatial variations in the quality of the imaging data used to select targets for follow-up spectroscopy.
2 code implementations • 9 Apr 2019 • Michael Boyle, Daniel Hemberger, Dante A. B. Iozzo, Geoffrey Lovelace, Serguei Ossokine, Harald P. Pfeiffer, Mark A. Scheel, Leo C. Stein, Charles J. Woodford, Aaron B. Zimmerman, Nousha Afshari, Kevin Barkett, Jonathan Blackman, Katerina Chatziioannou, Tony Chu, Nicholas Demos, Nils Deppe, Scott E. Field, Nils L. Fischer, Evan Foley, Heather Fong, Alyssa Garcia, Matthew Giesler, Francois Hebert, Ian Hinder, Reza Katebi, Haroon Khan, Lawrence E. Kidder, Prayush Kumar, Kevin Kuper, Halston Lim, Maria Okounkova, Teresita Ramirez, Samuel Rodriguez, Hannes R. Rüter, Patricia Schmidt, Bela Szilagyi, Saul A. Teukolsky, Vijay Varma, Marissa Walker
Accurate models of gravitational waves from merging black holes are necessary for detectors to observe as many events as possible while extracting the maximum science.
General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena
1 code implementation • 22 Sep 2018 • Reza Katebi, Yadi Zhou, Ryan Chornock, Razvan Bunescu
In this work, we studied the performance of Capsule Network, a recently introduced neural network architecture that is rotationally invariant and spatially aware, on the task of galaxy morphology classification.