Outputs (7)

An inventory of galaxies in cosmic filaments feeding galaxy clusters: galaxy groups, backsplash galaxies, and pristine galaxies (2021)
Journal Article
Kuchner, U., Haggar, R., Aragón-Salamanca, A., Pearce, F. R., Gray, M. E., Rost, A., …Yepes, G. (2022). An inventory of galaxies in cosmic filaments feeding galaxy clusters: galaxy groups, backsplash galaxies, and pristine galaxies. Monthly Notices of the Royal Astronomical Society, 510(1), 581-592. https://doi.org/10.1093/mnras/stab3419

Galaxy clusters grow by accreting galaxies from the field and along filaments of the cosmic web. As galaxies are accreted they are affected by their local environment before they enter (pre-processing), and traverse the cluster potential. Observation... Read More about An inventory of galaxies in cosmic filaments feeding galaxy clusters: galaxy groups, backsplash galaxies, and pristine galaxies.

H α-based star formation rates in and around z ∼ 0.5 EDisCS clusters (2021)
Journal Article
Cooper, J. R., Rudnick, G. H., Brammer, G. G., Desjardins, T., Mann, J. L., Weiner, B. J., …Zaritsky, D. (2022). H α-based star formation rates in and around z ∼ 0.5 EDisCS clusters. Monthly Notices of the Royal Astronomical Society, 509(4), 5382-5398. https://doi.org/10.1093/mnras/stab3184

We investigate the role of environment on star formation rates (SFRs) of galaxies at various cosmic densities in well-studied clusters. We present the star-forming main sequence for 163 galaxies in four EDisCS clusters in the range 0.4 < z < 0.7. We... Read More about H α-based star formation rates in and around z ∼ 0.5 EDisCS clusters.

From blue cloud to red sequence: Evidence of morphological transition prior to star formation quenching (2021)
Journal Article
Sampaio, V. M., De Carvalho, R. R., Ferreras, I., Aragón Salamanca, A., & Parker, L. C. (2022). From blue cloud to red sequence: Evidence of morphological transition prior to star formation quenching. Monthly Notices of the Royal Astronomical Society, 509(1), 567-585. https://doi.org/10.1093/mnras/stab3018

We present a study of a sample of 254 clusters from the SDSS-DR7 Yang Catalogue and an auxiliary sample of field galaxies to perform a detailed investigation on how galaxy quenching depends on both environment and galaxy stellar mass. Our samples are... Read More about From blue cloud to red sequence: Evidence of morphological transition prior to star formation quenching.

Galaxy Morphological Classification Catalogue of the Dark Energy Survey Year 3 data with Convolutional Neural Networks (2021)
Journal Article
Cheng, T., Conselice, C. J., Aragón-Salamanca, A., Aguena, M., Allam, S., Andrade-Oliveira, F., …To, C. (2021). Galaxy Morphological Classification Catalogue of the Dark Energy Survey Year 3 data with Convolutional Neural Networks. Monthly Notices of the Royal Astronomical Society, 507(3), 4425-4444. https://doi.org/10.1093/mnras/stab2142

We present in this paper one of the largest galaxy morphological classification catalogues to date, including over 20 million of galaxies, using the Dark Energy Survey (DES) Year 3 data based on Convolutional Neural Networks (CNN). Monochromatic i-ba... Read More about Galaxy Morphological Classification Catalogue of the Dark Energy Survey Year 3 data with Convolutional Neural Networks.

Beyond the Hubble Sequence - Exploring Galaxy Morphology with Unsupervised Machine Learning (2021)
Journal Article
Cheng, T., Huertas-Company, M., Conselice, C. J., Aragón-Salamanca, A., Robertson, B. E., & Ramachandra, N. (2021). Beyond the Hubble Sequence - Exploring Galaxy Morphology with Unsupervised Machine Learning. Monthly Notices of the Royal Astronomical Society, 503(3), 4446-4465. https://doi.org/10.1093/mnras/stab734

We explore unsupervised machine learning for galaxy morphology analyses using a combination of feature extraction with a vector-quantised variational autoencoder (VQ-VAE) and hierarchical clustering (HC). We propose a new methodology that includes: (... Read More about Beyond the Hubble Sequence - Exploring Galaxy Morphology with Unsupervised Machine Learning.

Cosmic filaments in galaxy cluster outskirts: quantifying finding filaments in redshift space (2021)
Journal Article
Kuchner, U., Aragón-Salamanca, A., Rost, A., Pearce, F. R., Gray, M. E., Cui, W., …Yepes, G. (2021). Cosmic filaments in galaxy cluster outskirts: quantifying finding filaments in redshift space. Monthly Notices of the Royal Astronomical Society, 503(2), 2065-2076. https://doi.org/10.1093/mnras/stab567

Inferring line-of-sight distances from redshifts in and around galaxy clusters is complicated by peculiar velocities, a phenomenon known as the "Fingers of God" (FoG). This presents a significant challenge for finding filaments in large observational... Read More about Cosmic filaments in galaxy cluster outskirts: quantifying finding filaments in redshift space.

SDSS-IV MaNGA: the “G-dwarf problem” revisited (2021)
Journal Article
Greener, M. J., Merrifield, M., Aragón-Salamanca, A., Peterken, T., Andrews, B., & Lane, R. R. (2021). SDSS-IV MaNGA: the “G-dwarf problem” revisited. Monthly Notices of the Royal Astronomical Society: Letters, 502(1), L95–L98. https://doi.org/10.1093/mnrasl/slab012

The levels of heavy elements in stars are the product of enhancement by previous stellar generations, and the distribution of this metallicity among the population contains clues to the process by which a galaxy formed. Most famously, the “G-dwarf pr... Read More about SDSS-IV MaNGA: the “G-dwarf problem” revisited.