Showing astro-ph.IMShow all
3 papers · 1 filter
astro-ph.IM2026
Attaining Spectral Energy Distributions With Sub-Percent Uncertainties: All-Sky DA White Dwarf Spectrophotometric Standard Stars For Large Telescopes And Surveys
Abhijit Saha, Edward W. Olszewski, Benjamin M. Boyd +14
We present a synopsis of the project to establish thirty-two new faint () DA white dwarfs as spectrophotometric standards distributed over the whole sky. O…
astro-ph.IM2025
Mantis Shrimp: Exploring Photometric Band Utilization in Computer Vision Networks for Photometric Redshift Estimation
Andrew Engel, Nell Byler, Adam Tsou +3
We present Mantis Shrimp, a multi-survey deep learning model for photometric redshift estimation that fuses ultra-violet (GALEX), optical (PanSTARRS), and infrared (UnWISE) imagery…
astro-ph.IM2024
Preliminary Report on Mantis Shrimp: a Multi-Survey Computer Vision Photometric Redshift Model
Andrew Engel, Gautham Narayan, Nell Byler
The availability of large, public, multi-modal astronomical datasets presents an opportunity to execute novel research that straddles the line between science of AI and science of…