دورية أكاديمية

MORPHOFIT: An automated galaxy structural parameters fitting package

التفاصيل البيبلوغرافية
العنوان: MORPHOFIT: An automated galaxy structural parameters fitting package
المؤلفون: Luca Tortorelli, Amata Mercurio
المصدر: Frontiers in Astronomy and Space Sciences, Vol 10 (2023)
بيانات النشر: Frontiers Media S.A., 2023.
سنة النشر: 2023
المجموعة: LCC:Astronomy
LCC:Geophysics. Cosmic physics
مصطلحات موضوعية: galaxies: morphology, methods: data analysis, techniques: photometric, galaxies: photometry, galaxies: fundamental parameters, galaxies: clusters: individual: Abell S1063, Astronomy, QB1-991, Geophysics. Cosmic physics, QC801-809
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2296-987X
Relation: https://www.frontiersin.org/articles/10.3389/fspas.2023.989443/full; https://doaj.org/toc/2296-987X
DOI: 10.3389/fspas.2023.989443
URL الوصول: https://doaj.org/article/496c6bddfd2d4f01a856504a7daf7c63
رقم الأكسشن: edsdoj.496c6bddfd2d4f01a856504a7daf7c63
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2296987X
DOI:10.3389/fspas.2023.989443