1 citations · 3 across the 3 of their papers we have counts for
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Multi-Method Machine Learning Classification of Astronomical Sources with Rubin Data Previews: a Spectroscopy-Free Approach with DP1 and DP2
Andrés Alejandro Plazas Malagón, Yasna Ordenes-Briceño, Dan S. Taranu +8
We present a multi-method machine-learning study for the binary photometric classification of point-like and extended sources in the Rubin Observatory Data Preview 1 (DP1) and Data…
Two bits about lossy compression: On the limits of compression in cosmology
Hurum Maksora Tohfa, Matthew McQuinn
Astronomy is in an era of enormous sky surveys and of the large simulation suites needed to interpret them, both costly to store and slow to share. Simulation outputs are stored as…
FOTO: Figure-Level Semantic Search for Astronomy
Hurum Maksora Tohfa, Francisco Villaescusa-Navarro
Astronomy papers carry much of their content in figures, but literature search indexes text, so there is no way to find a plot by describing what it shows. We present FOTO, a figur…