90 citations · 116 across the 6 of their papers we have counts for
8 papers
The JWST Hubble Sequence: The Rest-Frame Optical Evolution of Galaxy Structure at
Leonardo Ferreira, Christopher J. Conselice, Elizaveta Sazonova +13
We present results on the morphological and structural evolution of a total of 4265 galaxies observed with JWST at in the JWST CEERS observations that overlap with th…
Lessons Learned from the Two Largest Galaxy Morphological Classification Catalogues built by Convolutional Neural Networks
Ting-Yun Cheng, H. Domínguez Sánchez, J. Vega-Ferrero +54
We compare the two largest galaxy morphology catalogues, which separate early and late type galaxies at intermediate redshift. The two catalogues were built by applying supervised…
A Simulation Driven Deep Learning Approach for Separating Mergers and Star Forming Galaxies: The Formation Histories of Clumpy Galaxies in all the CANDELS Fields
Leonardo Ferreira, Christopher J. Conselice, Ulrike Kuchner +1
Being able to distinguish between galaxies that have recently undergone major merger events, or are experiencing intense star formation, is crucial for making progress in our under…
Emission Line Galaxies in the SHARDS Frontier Fields I: Candidate Selection and the Discovery of Bursty Hα Emitters
Alex Griffiths, Christopher J. Conselice, Leonardo Ferreira +7
Emission line galaxies provide a crucial tool for the study of galaxy formation and evolution, providing a means to trace a galaxy's star formation history or metal enrichment, and…
Galaxy Evolution in all Five CANDELS Fields and IllustrisTNG: Morphological, Structural, and the Major Merger Evolution to
A. Whitney, L. Ferreira, C. J. Conselice +1
A fundamental feature of galaxies is their structure, yet we are just now understanding the evolution of structural properties in quantitative ways. As such, we explore the quantit…
Quantifying Non-parametric Structure of High-redshift Galaxies with Deep Learning
C. Tohill, L. Ferreira, C. J. Conselice +2
At high redshift, due to both observational limitations and the variety of galaxy morphologies in the early universe, measuring galaxy structure can be challenging. Non-parametric…