Outputs (54)

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.

SDSS-IV MaNGA: when is morphology imprinted on galaxies? (2020)
Journal Article
Peterken, T., Merrifield, M., Aragón-Salamanca, A., Avila-Reese, V., Boardman, N. F., Drory, N., & Lane, R. R. (2021). SDSS-IV MaNGA: when is morphology imprinted on galaxies?. Monthly Notices of the Royal Astronomical Society: Letters, 500(1), L42-L46. https://doi.org/10.1093/mnrasl/slaa179

It remains an open question as to how long ago the morphology that we see in a present-day galaxy was typically imprinted. Studies of galaxy populations at different redshifts reveal that the balance of morphologies has changed over time, but such sn... Read More about SDSS-IV MaNGA: when is morphology imprinted on galaxies?.

SDSS-IV MaNGA: Spatially resolved star formation in barred galaxies (2020)
Journal Article
Fraser-McKelvie, A., Aragón-Salamanca, A., Merrifield, M., Masters, K., Nair, P., Emsellem, E., …Neumann, J. (2020). SDSS-IV MaNGA: Spatially resolved star formation in barred galaxies. Monthly Notices of the Royal Astronomical Society, https://doi.org/10.1093/mnras/staa1416

A novel wave-energy device is presented. Both a preliminary proof-of-principle of a working, scaled laboratory version of the energy device is shown as well as the derivation and analysis of a comprehensive mathematical and numerical model of the new... Read More about SDSS-IV MaNGA: Spatially resolved star formation in barred galaxies.

SDSS-IV MaNGA: Excavating the fossil record of stellar populations in spiral galaxies (2020)
Journal Article
Peterken, T., Merrifield, M., Aragón-Salamanca, A., Fraser-McKelvie, A., Avila-Reese, V., Riffel, R., …Drory, N. (2020). SDSS-IV MaNGA: Excavating the fossil record of stellar populations in spiral galaxies. Monthly Notices of the Royal Astronomical Society, https://doi.org/10.1093/mnras/staa1303

We perform a “fossil record” analysis for ≈800 low-redshift spiral galaxies, using STARLIGHT applied to integral field spectroscopic observations from the SDSS-IV MaNGA survey to obtain fully spatially-resolved high-resolution star formation historie... Read More about SDSS-IV MaNGA: Excavating the fossil record of stellar populations in spiral galaxies.

Mapping and characterization of cosmic filaments in galaxy cluster outskirts: strategies and forecasts for observations from simulations (2020)
Journal Article
Kuchner, U., Aragón-Salamanca, A., Pearce, F. R., Gray, M. E., Rost, A., Mu, C., …Yepes, G. (2020). Mapping and characterization of cosmic filaments in galaxy cluster outskirts: strategies and forecasts for observations from simulations. Monthly Notices of the Royal Astronomical Society, 494(4), 5473-5491. https://doi.org/10.1093/mnras/staa1083

Upcoming wide-field surveys are well-suited to studying the growth of galaxy clusters by tracing galaxy and gas accretion along cosmic filaments. We use hydrodynamic simulations of volumes surrounding 324 clusters from The ThreeHundred project to dev... Read More about Mapping and characterization of cosmic filaments in galaxy cluster outskirts: strategies and forecasts for observations from simulations.

Identifying Strong Lenses with Unsupervised Machine Learning using Convolutional Autoencoder (2020)
Journal Article
Cheng, T., Li, N., Conselice, C. J., Aragón-Salamanca, A., Dye, S., & Metcalf, R. B. (2020). Identifying Strong Lenses with Unsupervised Machine Learning using Convolutional Autoencoder. Monthly Notices of the Royal Astronomical Society, 394(3), 3750–3765. https://doi.org/10.1093/mnras/staa1015

In this paper we develop a new unsupervised machine learning technique comprised of a feature extractor, a convolutional autoencoder (CAE), and a clustering algorithm consisting of a Bayesian Gaussian mixture model (BGM). We apply this technique to v... Read More about Identifying Strong Lenses with Unsupervised Machine Learning using Convolutional Autoencoder.

Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging (2020)
Journal Article
Cheng, T., Conselice, C. J., Aragón-Salamanca, A., Li, N., Bluck, A. F., Hartley, W. G., …Tarle, G. (2020). Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging. Monthly Notices of the Royal Astronomical Society, 493(3), 4209-4228. https://doi.org/10.1093/mnras/staa501

There are several supervised machine learning methods used for the application of automated morphological classification of galaxies; however, there has not yet been a clear comparison of these different methods using imaging data, or a investigation... Read More about Optimizing automatic morphological classification of galaxies with machine learning and deep learning using Dark Energy Survey imaging.

Preprocessing among the Infalling Galaxy Population of EDisCS Clusters (2019)
Journal Article
Kirby, M., Just, D. W., Zaritsky, D., Rudnick, G., Desjardins, T., Cool, R., …Liebst, K. (2019). Preprocessing among the Infalling Galaxy Population of EDisCS Clusters. Astrophysical Journal, 885(1), Article 6. https://doi.org/10.3847/1538-4357/ab44a0

We present results from a low-resolution spectroscopic survey for 21 galaxy clusters at 0.4 < z < 0.8 selected from the ESO Distant Cluster Survey. We measured spectra using the low-dispersion prism in IMACS on the Magellan Baade telescope and calcul... Read More about Preprocessing among the Infalling Galaxy Population of EDisCS Clusters.

Signatures of stellar accretion in MaNGA early-type galaxies (2019)
Journal Article
Oyarzún, G. A., Bundy, K., Westfall, K. B., Belfiore, F., Thomas, D., Maraston, C., …Andrews, B. H. (2019). Signatures of stellar accretion in MaNGA early-type galaxies. Astrophysical Journal, 880(2), Article 111. https://doi.org/10.3847/1538-4357/ab297c

The late assembly of massive galaxies is thought to be dominated by stellar accretion in their outskirts (beyond 2 effective radii R e) due to dry, minor galaxy mergers. We use observations of 1010 passive early-type galaxies (ETGs) within z < 0.15 f... Read More about Signatures of stellar accretion in MaNGA early-type galaxies.

SDSS-IV MaNGA: Stellar Population Gradients Within Barred Galaxies (2019)
Journal Article
Fraser-McKelvie, A., Merrifield, M., Aragón-Salamanca, A., Peterken, T., Masters, K., Krawczyk, C., …Drory, N. (2019). SDSS-IV MaNGA: Stellar Population Gradients Within Barred Galaxies. Monthly Notices of the Royal Astronomical Society: Letters, 488(1), L6–L11. https://doi.org/10.1093/mnrasl/slz085

Bars in galaxies are thought to stimulate both inflow of material and radial mixing along them. Observational evidence for this mixing has been inconclusive so far however, limiting the evaluation of the impact of bars on galaxy evolution. We now use... Read More about SDSS-IV MaNGA: Stellar Population Gradients Within Barred Galaxies.