The impact of redshift on galaxy morphometric classification: case studies for SDSS, DES, LSST and HST with morfometryka

L de Albernaz Ferreira, F Ferrari - Monthly Notices of the Royal …, 2018 - academic.oup.com
We have carried a detailed analysis on the impact of cosmological redshift in the non-
parametric approach to automated galaxy morphology classification. We artificially …

Stochastic prior for non-parametric star-formation histories

JT Wan, S Tacchella, BD Johnson, KG Iyer… - arXiv preprint arXiv …, 2024 - arxiv.org
The amount of power contained in the variations in galaxy star-formation histories (SFHs)
across a range of timescales encodes key information about the physical processes which …

Comparison of observed galaxy properties with semianalytic model predictions using machine learning

M Simet, N Chartab, Y Lu… - The Astrophysical …, 2021 - iopscience.iop.org
With current and upcoming experiments such as the Wide Field Infrared Survey Telescope,
Euclid, and Large Synoptic Survey Telescope, we can observe up to billions of galaxies …

Are galactic star formation and quenching governed by local, global, or environmental phenomena?

AFL Bluck, R Maiolino, SF Sánchez… - Monthly Notices of …, 2020 - academic.oup.com
We present an analysis of star formation and quenching in the SDSS-IV MaNGA-DR15,
utilizing over 5 million spaxels from∼ 3500 local galaxies. We estimate star formation rate …

USmorph: An Updated Framework of Automatic Classification of Galaxy Morphologies and Its Application to Galaxies in the COSMOS Field

J Song, GW Fang, S Ba, Z Lin, Y Gu… - The Astrophysical …, 2024 - iopscience.iop.org
Morphological classification conveys abundant information on the formation, evolution, and
environment of galaxies. In this work, we refine a two-step galaxy morphological …

A forward-modelling approach to overcome PSF smearing and fit flexible models to the chemical structure of galaxies

B Metha, S Birrer, T Treu, M Trenti, X Ding… - arXiv preprint arXiv …, 2024 - arxiv.org
Historically, metallicity profiles of galaxies have been modelled using a radially symmetric,
two-parameter linear model, which reveals that most galaxies are more metal-rich in their …

: An automated galaxy structural parameters fitting package

L Tortorelli, A Mercurio - arXiv preprint arXiv:2302.07890, 2023 - arxiv.org
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 …

Large-scale Structures in COSMOS2020: Evolution of Star Formation Activity in Different Environments at 0.4< z< 4

S Taamoli, B Mobasher, N Chartab… - The Astrophysical …, 2024 - iopscience.iop.org
To study the role of environment in galaxy evolution, we reconstruct the underlying density
field of galaxies based on COSMOS2020 (The Farmer catalog) and provide the density …

Leaving No Branches Behind: Predicting Baryonic Properties of Galaxies from Merger Trees

CY Chuang, CK Jespersen, YT Lin, S Ho… - The Astrophysical …, 2024 - iopscience.iop.org
Galaxies play a key role in our endeavor to understand how structure formation proceeds in
the Universe. For any precision study of cosmology or galaxy formation, there is a strong …

Integrating human and machine intelligence in galaxy morphology classification tasks

MR Beck, C Scarlata, LF Fortson… - Monthly Notices of …, 2018 - academic.oup.com
Quantifying galaxy morphology is a challenging yet scientifically rewarding task. As the
scale of data continues to increase with upcoming surveys, traditional classification methods …