pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy

no code implementations • 2 Aug 2024 • Kartheik G. Iyer, Mikaeel Yunus, Charles O'Neill, Christine Ye, Alina Hyk, Kiera McCormick, Ioana Ciuca, John F. Wu, Alberto Accomazzi, Simone Astarita, Rishabh Chakrabarty, Jesse Cranney, Anjalie Field, Tirthankar Ghosal, Michele Ginolfi, Marc Huertas-Company, Maja Jablonska, Sandor Kruk, Huiling Liu, Gabriel Marchidan, Rohit Mistry, J. P. Naiman, J. E. G. Peek, Mugdha Polimera, Sergio J. Rodriguez, Kevin Schawinski, Sanjib Sharma, Michael J. Smith, Yuan-Sen Ting, Mike Walmsley

The exponential growth of astronomical literature poses significant challenges for researchers navigating and synthesizing general insights or even domain-specific knowledge.

Astronomy Pathfinder

CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data

no code implementations • 26 Oct 2021 • Kalina Borkiewicz, Viraj Shah, J. P. Naiman, Chuanyue Shen, Stuart Levy, Jeff Carpenter

Artifact removal is an integral component of cinematic scientific visualization, and is especially challenging with big datasets in which artifacts are difficult to define.