3 papers
astro-ph.CO2026
FlowSN: Neural Simulation-Based Inference under Realistic Selection Effects applied to Supernova Cosmology
Benjamin M. Boyd, Kaisey S. Mandel, Matthew Grayling +10
We present FlowSN, a statistical framework using simulation-based inference (SBI) with normalising flows to account for selection effects in observational astronomy. Failure to acc…
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…