This paper introduce We present capivara, a fast and scalable spectral-based segmentation package designed to study astrophysical properties within distinct structural components of galaxies. Published in Monthly Notices of the Royal Astronomical Society, 2025.
This paper introduce an unsupervised domain adaptation (UDA) method that fine-tunes a source domain model trained on DECaLS images with GZD-5 labels to BMz images, aiming to reduce bias in galaxy morphology classification within the BMz survey. Published in Monthly Notices of the Royal Astronomical Society, 2025.
This paper introduce a two-dimensinal galaxy surface brightness fitting pacakge, which could be super fast under the accaleration of GPU. Published in Monthly Notices of the Royal Astronomical Society, 2023.