MORPHOFIT: An automated galaxy structural parameters fitting package

In today’s modern wide-field galaxy surveys, there is the necessity for parametric surface brightness decomposition codes characterised by accuracy, small degree of user intervention, and high degree of parallelisation. We try to address this necessity by introducing MORPHOFIT, a highly parallelisab...

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Main Authors: Luca Tortorelli, Amata Mercurio
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fspas.2023.989443/full
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author Luca Tortorelli
Luca Tortorelli
Amata Mercurio
Amata Mercurio
author_facet Luca Tortorelli
Luca Tortorelli
Amata Mercurio
Amata Mercurio
author_sort Luca Tortorelli
collection DOAJ
description In today’s modern wide-field galaxy surveys, there is the necessity for parametric surface brightness decomposition codes characterised by accuracy, small degree of user intervention, and high degree of parallelisation. We try to address this necessity by introducing MORPHOFIT, a highly parallelisable python package for the estimate of galaxy structural parameters. The package makes use of wide-spread and reliable codes, namely, SEXTRACTOR and GALFIT. It has been optimised and tested in both low-density and crowded environments, where blending and diffuse light makes the structural parameters estimate particularly challenging. MORPHOFIT allows the user to fit multiple surface brightness components to each individual galaxy, among those currently implemented in the code. Using simulated images of single Sérsic and bulge plus disk galaxy light profiles with different bulge-to-total luminosity (B/T) ratios, we show that MORPHOFIT is able to recover the input structural parameters of the simulated galaxies with good accuracy. We also compare its estimates against existing literature studies, finding consistency within the errors. We use the package in a companion paper to measure the structural parameters of cluster galaxies in order to study the wavelength dependence of the Kormendy relation of early-type galaxies. The package is available on github1 and on the Pypi server2.
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spelling doaj.art-496c6bddfd2d4f01a856504a7daf7c632023-03-08T10:51:43ZengFrontiers Media S.A.Frontiers in Astronomy and Space Sciences2296-987X2023-03-011010.3389/fspas.2023.989443989443MORPHOFIT: An automated galaxy structural parameters fitting packageLuca Tortorelli0Luca Tortorelli1Amata Mercurio2Amata Mercurio3Faculty of Physics, University Observatory, Ludwig-Maximilians-Universität München, Munich, GermanyInstitute for Particle Physics and Astrophysics, ETH Zürich, Zürich, SwitzerlandDipartimento di Fisica “E.R. Caianiello“, Università degli Studi di Salerno, Fisciano, SA, ItalyINAF- Osservatorio Astronomico di Capodimonte, Napoli, ItalyIn today’s modern wide-field galaxy surveys, there is the necessity for parametric surface brightness decomposition codes characterised by accuracy, small degree of user intervention, and high degree of parallelisation. We try to address this necessity by introducing MORPHOFIT, a highly parallelisable python package for the estimate of galaxy structural parameters. The package makes use of wide-spread and reliable codes, namely, SEXTRACTOR and GALFIT. It has been optimised and tested in both low-density and crowded environments, where blending and diffuse light makes the structural parameters estimate particularly challenging. MORPHOFIT allows the user to fit multiple surface brightness components to each individual galaxy, among those currently implemented in the code. Using simulated images of single Sérsic and bulge plus disk galaxy light profiles with different bulge-to-total luminosity (B/T) ratios, we show that MORPHOFIT is able to recover the input structural parameters of the simulated galaxies with good accuracy. We also compare its estimates against existing literature studies, finding consistency within the errors. We use the package in a companion paper to measure the structural parameters of cluster galaxies in order to study the wavelength dependence of the Kormendy relation of early-type galaxies. The package is available on github1 and on the Pypi server2.https://www.frontiersin.org/articles/10.3389/fspas.2023.989443/fullgalaxies: morphologymethods: data analysistechniques: photometricgalaxies: photometrygalaxies: fundamental parametersgalaxies: clusters: individual: Abell S1063
spellingShingle Luca Tortorelli
Luca Tortorelli
Amata Mercurio
Amata Mercurio
MORPHOFIT: An automated galaxy structural parameters fitting package
Frontiers in Astronomy and Space Sciences
galaxies: morphology
methods: data analysis
techniques: photometric
galaxies: photometry
galaxies: fundamental parameters
galaxies: clusters: individual: Abell S1063
title MORPHOFIT: An automated galaxy structural parameters fitting package
title_full MORPHOFIT: An automated galaxy structural parameters fitting package
title_fullStr MORPHOFIT: An automated galaxy structural parameters fitting package
title_full_unstemmed MORPHOFIT: An automated galaxy structural parameters fitting package
title_short MORPHOFIT: An automated galaxy structural parameters fitting package
title_sort morphofit an automated galaxy structural parameters fitting package
topic galaxies: morphology
methods: data analysis
techniques: photometric
galaxies: photometry
galaxies: fundamental parameters
galaxies: clusters: individual: Abell S1063
url https://www.frontiersin.org/articles/10.3389/fspas.2023.989443/full
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AT amatamercurio morphofitanautomatedgalaxystructuralparametersfittingpackage
AT amatamercurio morphofitanautomatedgalaxystructuralparametersfittingpackage