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Galaxy mass modelling from multiwavelength JWST strong lens analysis: dark matter substructure, angular mass complexity, or both? (2025)
Journal Article
Lange, S. C., Amvrosiadis, A., Nightingale, J. W., He, Q., Frenk, C. S., Robertson, A., Cole, S., Massey, R., Cao, X., Li, R., & Wang, K. (2025). Galaxy mass modelling from multiwavelength JWST strong lens analysis: dark matter substructure, angular mass complexity, or both?. Monthly Notices of the Royal Astronomical Society, 539(2), 704-726. https://doi.org/10.1093/mnras/staf491

We analyse two galaxy-scale strong gravitational lenses, SPT0418-47 and SPT2147-50, using JWST NIRCam imaging across multiple filters. To account for angular complexity in the lens mass distribution, we introduce multipole perturbations with orders m... Read More about Galaxy mass modelling from multiwavelength JWST strong lens analysis: dark matter substructure, angular mass complexity, or both?.

Bar formation and evolution in the cosmological context: Inputs from the Auriga simulations (2025)
Journal Article
Fragkoudi, F., Grand, R. J., Pakmor, R., Gómez, F., Marinacci, F., & Springel, V. (2025). Bar formation and evolution in the cosmological context: Inputs from the Auriga simulations. Monthly Notices of the Royal Astronomical Society, 538(3), 1587-1608. https://doi.org/10.1093/mnras/staf389

Galactic bars drive the internal evolution of spiral galaxies, while their formation is tightly coupled to the properties of their host galaxy and dark matter halo. To explore what drives bar formation in the cosmological context and how these struct... Read More about Bar formation and evolution in the cosmological context: Inputs from the Auriga simulations.

Unraveling emission line galaxy conformity at z ∼1 with DESI early data (2025)
Journal Article
Yuan, S., Wechsler, R. H., Wang, Y., De Los Reyes, M. A., Myles, J., Rocher, A., Hadzhiyska, B., Aguilar, J. N., Ahlen, S., Brooks, D., Claybaugh, T., Cole, S., De La Macorra, A., Forero-Romero, J. E., Gontcho, S. G. A., Guy, J., Honscheid, K., Kisner, T., Levi, M., Manera, M., …Zhou, Z. (2025). Unraveling emission line galaxy conformity at z ∼1 with DESI early data. Monthly Notices of the Royal Astronomical Society, 538(2), 1216-1240. https://doi.org/10.1093/mnras/staf368

Emission line galaxies (ELGs) are now the preeminent tracers of large-scale structure at 0.8$]]> due to their high density and strong emission lines, which enable accurate redshift measurements. However, relatively little is known about ELG evolution... Read More about Unraveling emission line galaxy conformity at z ∼1 with DESI early data.

Investigating the effects of fresh gas on the active galactic nuclei luminosity of early-and late-Type galaxies (2025)
Journal Article
Winiarska, M. W., Raimundo, S. I., Davis, T. A., Riffel, R. D., Shankar, F., & Wiseman, P. (2025). Investigating the effects of fresh gas on the active galactic nuclei luminosity of early-and late-Type galaxies. Monthly Notices of the Royal Astronomical Society, 538(2), 1191-1200. https://doi.org/10.1093/mnras/staf295

The main fuelling processes for active galactic nuclei (AGN) are currently unknown. Previous work showed that galaxies with a large kinematic misalignment between their stellar and gas reservoirs have a higher AGN fraction than galaxies without misal... Read More about Investigating the effects of fresh gas on the active galactic nuclei luminosity of early-and late-Type galaxies.

Neural network-based model of galaxy power spectrum: fast full-shape galaxy power spectrum analysis (2025)
Journal Article
Trusov, S., Zarrouk, P., & Cole, S. (2025). Neural network-based model of galaxy power spectrum: fast full-shape galaxy power spectrum analysis. Monthly Notices of the Royal Astronomical Society, 538(3), 1789-1799. https://doi.org/10.1093/mnras/staf285

We present a neural network-based emulator for the galaxy redshift-space power spectrum that enables several orders of magnitude acceleration in the galaxy clustering parameter inference, while preserving 3σ accuracy better than 0.5 per cent up to km... Read More about Neural network-based model of galaxy power spectrum: fast full-shape galaxy power spectrum analysis.