galmask: A Python Package for Unsupervised Galaxy Masking
Open Access
- 15 June 2022
- journal article
- Published by American Astronomical Society in Research Notes of the AAS
- Vol. 6 (6), 128
- https://doi.org/10.3847/2515-5172/ac780b
Abstract
Galaxy morphological classification is a fundamental aspect of galaxy formation and evolution studies. Various machine learning tools have been developed for automated pipeline analysis of large-scale surveys, enabling a fast search for objects of interest. However, crowded regions in the image may pose a challenge as they can lead to bias in the learning algorithm. In this Research Note, we present galmask, an open-source package for unsupervised galaxy masking to isolate the central object of interest in the image. galmask is written in Python and can be installed from PyPI via the pip command.This publication has 13 references indexed in Scilit:
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