2 citations · 2 across the 6 of their papers we have counts for
7 papers
Performance of morphological classifiers for galaxy mergers compared to current machine learning methods
Aidan P. Cotter, William J. Pearson, William J. pearson +4
Aims. Non-parametric morphological statistics can be used for efficient classification of galaxy mergers. This work aims to compare the performance of morphological merger classifi…
The TNG50-SKIRT Atlas: Multi-wavelength nonparametric galaxy morphology
Sena Bokona Tulu, Maarten Baes, Angelos Nersesian +5
Context: Galaxy morphology is a fundamental property to describe galaxy evolution. However, the observed morphology of a particular galaxy may depend on the observed wavelength. Ai…
statmorph-lsst: Quantifying and correcting morphological biases in galaxy surveys
Elizaveta Sazonova, Cameron R. Morgan, Michael Balogh +16
Quantitative morphology provides a key probe of galaxy evolution across cosmic time and environments. However, these metrics can be biased by changes in imaging quality - resolutio…
Classifying merger stages with adaptive deep learning and cosmological hydrodynamical simulations
Rosa de Graaff, Berta Margalef-Bentabol, Lingyu Wang +4
Hierarchical merging of galaxies plays an important role in galaxy formation and evolution. Mergers could trigger key evolutionary phases such as starburst activities and active ac…
Environmental effects on Low Surface Brightness Galaxies in the IllustrisTNG simulation
Luis Enrique Pérez-Montaño, Bernardo Cervantes Sodi, Vicente Rodriguez-Gomez +2
Employing the TNG100 run of the IllustrisTNG project, we characterize the environment of Low Surface Brightness Galaxies (LSBGs) across varying scales, from their associated dark m…
The TNG50-SKIRT Atlas: wavelength dependence of the effective radius
Maarten Baes, Aleksandr Mosenkov, Raymond Kelly +17
Galaxy sizes correlate with many other important properties of galaxies, and the cosmic evolution of galaxy sizes is an important observational diagnostic for constraining galaxy e…
The TNG50-SKIRT Atlas: post-processing methodology and first data release
Maarten Baes, Andrea Gebek, Ana Trcka +17
Galaxy morphology is a powerful diagnostic to assess the realism of cosmological hydrodynamical simulations. Determining the morphology of simulated galaxies requires the generatio…