248 citations · 1.8k across the 97 of their papers we have counts for
8 papers · 1 filter
ELMA: ELlipse-based bar MAjor axis estimator
Bruna R. Bragança de Lima, Andressa Wille, Rafael S. de Souza +1
Galactic bars are key non-axisymmetric structures in disk galaxies, driving angular-momentum redistribution and contributing to secular evolution, central mass build-up, and the fo…
Lightstack: A Python Package for Creating Photometric Data Cubes
Andressa Wille, Rafael S. de Souza, Ana L. Chies-Santos +3
Multi-band photometry traces diverse physical processes across a wide range of wavelengths. In recent decades, this field has been driven by the rapid growth of multi-imaging datas…
SAGUI: SED-based Segmentation of Multi-band Galaxy Images -- Application to JADES in GOODS-South
Rafael S. de Souza, Andressa Wille, Shravya Shenoy +11
We present sagui, a modular framework for the analysis of multi-band imaging data in spatially resolved galaxies, with synergies to integral-field spectroscopy (IFS). Building on t…
SpectralUnmix: A Torch-Based Regularized Non-negative Matrix Factorization
Rafael S. de Souza, Paula Coelho, Niranjana P +2
We present SpectralUnmix, an R package for regularized non-negative matrix factorization (NMF), implemented in torch with optional GPU acceleration. The package estimates low-rank…
Why the Northern Hemisphere Needs a 30-40 m Telescope and the Science at Stake: Mapping formation pathways of nuclear star clusters across galaxies
Francesca Pinna, Isabel Pérez, Anna Ferré-Mateu +21
Nuclear star clusters (NSCs) are dense, compact stellar systems only a few parsecs across, located at galaxy centers. Their small sizes make them difficult to resolve spatially. NS…
galmask: A Python package for unsupervised galaxy masking
Yash Gondhalekar, Rafael S. de Souza, Ana L. Chies-Santos
Galaxy morphological classification is a fundamental aspect of galaxy formation and evolution studies. Various machine learning tools have been developed for automated pipeline ana…