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1. Verfasser: Añorve, Christopher
Format: Preprint
Veröffentlicht: 2026
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Online-Zugang:https://arxiv.org/abs/2601.05291
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author Añorve, Christopher
author_facet Añorve, Christopher
contents Understanding how galaxies form and evolve requires measuring their light distributions in images taken by telescopes. This process often involves fitting mathematical models to galaxy images to extract properties such as size, brightness, components, and shape. GALFIT is a widely used tool for this purpose, but it requires careful preparation of input files and interpretation of results, which can be a barrier to efficient use. GALFITools is a Python library that streamlines this workflow by automating many of the tasks surrounding the use of GALFIT. These include generating image masks, estimating sky background, modeling the telescope's point spread function (PSF), and extracting physical parameters from GALFIT outputs. The software is designed for researchers and students who work with galaxy image modeling and aims to make the process more reproducible, accessible, and scalable.
format Preprint
id arxiv_https___arxiv_org_abs_2601_05291
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle GALFITools: A Python library to enhance GALFIT usage in galaxy image modeling
Añorve, Christopher
Instrumentation and Methods for Astrophysics
Understanding how galaxies form and evolve requires measuring their light distributions in images taken by telescopes. This process often involves fitting mathematical models to galaxy images to extract properties such as size, brightness, components, and shape. GALFIT is a widely used tool for this purpose, but it requires careful preparation of input files and interpretation of results, which can be a barrier to efficient use. GALFITools is a Python library that streamlines this workflow by automating many of the tasks surrounding the use of GALFIT. These include generating image masks, estimating sky background, modeling the telescope's point spread function (PSF), and extracting physical parameters from GALFIT outputs. The software is designed for researchers and students who work with galaxy image modeling and aims to make the process more reproducible, accessible, and scalable.
title GALFITools: A Python library to enhance GALFIT usage in galaxy image modeling
topic Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2601.05291