5 papers · 1 filter
Towards a consistent framework of determining active galactic nucleus contribution fraction and host galaxy properties
Mi Chen, Lingyu Wang, Berta Margalef-Bentabol +3
Decomposing active galactic nucleus (AGN) emission from host-galaxy light is essential for identifying AGN-dominated systems and accurately deriving host-galaxy physical properties…
Schrödinger's Seed: Purr-fect Initialization for an Impurr-fect Universe
Mi chen, Renhao Ye
Context. Random seed selection in deep learning is often arbitrary -- conventionally fixed to values such as 42, a number with no known feline endorsement. Aims. We propose that ca…
Capivara: A Spectral-based Segmentation Method for IFU Data Cubes
Rafael S. de Souza, Luis G. Dahmer-Hahn, Shiyin Shen +7
We present capivara, a fast and scalable spectral-based segmentation package designed to study astrophysical properties within distinct structural components of galaxies. This spec…
From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaption
Renhao Ye, Shiyin Shen, Rafael S. de Souza +6
The DESI Legacy Imaging Surveys (DESI-LIS) comprise three distinct surveys: the Dark Energy Camera Legacy Survey (DECaLS), the Beijing-Arizona Sky Survey (BASS), and the Mayall z-b…
Galmoss: A package for GPU-accelerated Galaxy Profile Fitting
Mi Chen, Rafael S. de Souza, Quanfeng Xu +5
We introduce galmoss, a python-based, torch-powered tool for two-dimensional fitting of galaxy profiles. By seamlessly enabling GPU parallelization, galmoss meets the high computat…