2 citations · 3 across the 2 of their papers we have counts for
3 papers
astro-ph.CO2026
Probabilistic characterization of blending with LSST and application to cluster lensing cosmology
Manon Ramel, Cyrille Doux, Marine Kuna +9
Next-generation galaxy surveys, like the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST), will deliver unprecedented depth and sky coverage, enabling precise mea…
astro-ph.IM2024★ 2 cited
The Blending ToolKit: A simulation framework for evaluation of galaxy detection and deblending
Ismael Mendoza, Andrii Torchylo, Thomas Sainrat +18
We present an open source Python library for simulating overlapping (i.e., blended) images of galaxies and performing self-consistent comparisons of detection and deblending algori…
astro-ph.IM2022★ 1 cited
A Convolutional Neural Network Approach to Supernova Time-Series Classification
Helen Qu, Masao Sako, Anais Moller +1
One of the brightest objects in the universe, supernovae (SNe) are powerful explosions marking the end of a star's lifetime. Supernova (SN) type is defined by spectroscopic emissio…