Outputs (23)

Forecasting the success of the WEAVE Wide-Field Cluster Survey on the extraction of the cosmic web filaments around galaxy clusters (2022)
Journal Article
Cornwell, D. J., Kuchner, U., Aragón-Salamanca, A., Gray, M. E., Pearce, F. R., Aguerri, J. A. L., Cui, W., Méndez-Abreu, J., de Arriba, L. P., & Trager, S. C. (2022). Forecasting the success of the WEAVE Wide-Field Cluster Survey on the extraction of the cosmic web filaments around galaxy clusters. Monthly Notices of the Royal Astronomical Society, 517(2), 1678–1694. https://doi.org/10.1093/mnras/stac2777

Next-generation wide-field spectroscopic surveys will observe the infall regions around large numbers of galaxy clusters with high sampling rates for the first time. Here we assess the feasibility of extracting the large-scale cosmic web around clust... Read More about Forecasting the success of the WEAVE Wide-Field Cluster Survey on the extraction of the cosmic web filaments around galaxy clusters.

The Three Hundred project: The gizmo-simba run (2022)
Journal Article
Cui, W., Dave, R., Knebe, A., Rasia, E., Gray, M., Pearce, F., Power, C., Yepes, G., Anbajagane, D., Ceverino, D., Contreras-Santos, A., de Andres, D., De Petris, M., Ettori, S., Haggar, R., Li, Q., Wang, Y., Yang, X., Borgani, S., Dolag, K., …Gianfagna, G. (2022). The Three Hundred project: The gizmo-simba run. Monthly Notices of the Royal Astronomical Society, 514(1), 977-996. https://doi.org/10.1093/mnras/stac1402

We introduce gizmo-simba, a new suite of galaxy cluster simulations within The Three Hundred project. The Three Hundred consists of zoom re-simulations of 324 clusters with M 200≳ 1014.8, M ⊙ drawn from the MultiDark-Planck N-body simulation, run usi... Read More about The Three Hundred project: The gizmo-simba run.

A Simulation-driven Deep Learning Approach for Separating Mergers and Star-forming Galaxies: The Formation Histories of Clumpy Galaxies in All of the CANDELS Fields (2022)
Journal Article
Ferreira, L., Conselice, C. J., Kuchner, U., & Tohill, C.-B. (2022). A Simulation-driven Deep Learning Approach for Separating Mergers and Star-forming Galaxies: The Formation Histories of Clumpy Galaxies in All of the CANDELS Fields. Astrophysical Journal, 931(1), Article 34. https://doi.org/10.3847/1538-4357/ac66ea

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 understanding of the formation and evolution of galaxies. As such, we have... Read More about A Simulation-driven Deep Learning Approach for Separating Mergers and Star-forming Galaxies: The Formation Histories of Clumpy Galaxies in All of the CANDELS Fields.

The Value of ArtScience: improving the balance in collaboration practices between artists and scientists can impact knowledge production (2022)
Journal Article
Kuchner, U. (2022). The Value of ArtScience: improving the balance in collaboration practices between artists and scientists can impact knowledge production. Writing Visual Culture, 10.0, 23-42

In a time in which scientific knowledge is in danger of being discredited, we return to the responsibility of art and science. There is widespread optimism that collaborations between artists and scientists can develop solutions to complex problems,... Read More about The Value of ArtScience: improving the balance in collaboration practices between artists and scientists can impact knowledge production.

Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models (2022)
Journal Article
Bretonnière, H., Huertas-Company, M., Boucaud, A., Lanusse, F., Jullo, E., Merlin, E., Tuccillo, D., Castellano, M., Brinchmann, J., Conselice, C. J., Dole, H., Cabanac, R., Courtois, H. M., Castander, F. J., Duc, P. A., & Kuchner, U. (2022). Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models. Astronomy and Astrophysics, 657, Article A90. https://doi.org/10.1051/0004-6361/202141393

We present a machine learning framework to simulate realistic galaxies for the Euclid Survey, producing more complex and realistic galaxies than the analytical simulations currently used in Euclid. The proposed method combines a control on galaxy sha... Read More about Euclid preparation: XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models.

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., Cui, W., Knebe, 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.

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., Knebe, A., Rasia, E., & 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.

The threehundred: the structure and properties of cosmic filaments in the outskirts of galaxy clusters (2020)
Journal Article
Rost, A., Kuchner, U., Welker, C., Pearce, F., Stasyszyn, F., Gray, M., Cui, W., Dave, R., Knebe, A., Yepes, G., & Rasia, E. (2021). The threehundred: the structure and properties of cosmic filaments in the outskirts of galaxy clusters. Monthly Notices of the Royal Astronomical Society, 502(1), 714-727. https://doi.org/10.1093/mnras/staa3792

Galaxy cluster outskirts are described by complex velocity fields induced by diffuse material collapsing towards filaments, gas, and galaxies falling into clusters, and gas shock processes triggered by substructures. A simple scenario that describes... Read More about The threehundred: the structure and properties of cosmic filaments in the outskirts of galaxy clusters.

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., Welker, C., Cui, W., Haggar, R., Laigle, C., Knebe, A., Kraljic, K., Sarron, F., & 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.

Euclid: the selection of quiescent and star-forming galaxies using observed colours (2020)
Journal Article
Bisigello, L., Kuchner, U., Conselice, C., Andreon, S., Bolzonella, M., Duc, P.-A., Garilli, B., Humphrey, A., Maraston, C., Moresco, M., Pozzetti, L., Tortora, C., Zamorani, G., Auricchio, N., Brinchmann, J., Capobianco, V., Carretero, J., Castander, F., Castellano, M., Cavuoti, S., …Zoubian, J. (2020). Euclid: the selection of quiescent and star-forming galaxies using observed colours. Monthly Notices of the Royal Astronomical Society, 494(2), 2337-2354. https://doi.org/10.1093/mnras/staa885

The Euclid mission will observe well over a billion galaxies out to z ∼ 6 and beyond. This will offer an unrivalled opportunity to investigate several key questions for understanding galaxy formation and evolution. The first step for many of these st... Read More about Euclid: the selection of quiescent and star-forming galaxies using observed colours.