Outputs (3)

A sparse regression approach for populating dark matter haloes and subhaloes with galaxies (2022)
Journal Article
Icaza-Lizaola, M., Bower, R. G., Norberg, P., Cole, S., & Schaller, M. (2022). A sparse regression approach for populating dark matter haloes and subhaloes with galaxies. Monthly Notices of the Royal Astronomical Society, 518(2), 2903-2920. https://doi.org/10.1093/mnras/stac3265

We use sparse regression methods (SRMs) to build accurate and explainable models that predict the stellar mass of central and satellite galaxies as a function of properties of their host dark matter haloes. SRMs are machine learning algorithms that p... Read More about A sparse regression approach for populating dark matter haloes and subhaloes with galaxies.

The importance of black hole repositioning for galaxy formation simulations (2022)
Journal Article
Bahé, Y. M., Schaye, J., Schaller, M., Bower, R. G., Borrow, J., Chaikin, E., Kugel, R., Nobels, F., & Ploeckinger, S. (2022). The importance of black hole repositioning for galaxy formation simulations. Monthly Notices of the Royal Astronomical Society, 516(1), 167-184. https://doi.org/10.1093/mnras/stac1339

Active galactic nucleus (AGN) feedback from accreting supermassive black holes (SMBHs) is an essential ingredient of galaxy formation simulations. The orbital evolution of SMBHs is affected by dynamical friction that cannot be predicted self-consiste... Read More about The importance of black hole repositioning for galaxy formation simulations.

The resolved chemical abundance properties within the interstellar medium of star-forming galaxies at z≈ 1.5 (2022)
Journal Article
Gillman, S., Puglisi, A., Dudzevičiūtė, U., Swinbank, A., Tiley, A., Harrison, C., Molina, J., Sharples, R., Bower, R., Cirasuolo, M., Ibar, E., & Obreschkow, D. (2022). The resolved chemical abundance properties within the interstellar medium of star-forming galaxies at z≈ 1.5. Monthly Notices of the Royal Astronomical Society, 512(3), 3480-3499. https://doi.org/10.1093/mnras/stac580

We exploit the unprecedented depth of integral field data from the KMOS Ultra-deep Rotational Velocity Survey (KURVS) to analyse the strong (Hα) and forbidden ([NII], [SII]) emission line ratios in 22 main-sequence galaxies at z ≈ 1.5. Using the [NII... Read More about The resolved chemical abundance properties within the interstellar medium of star-forming galaxies at z≈ 1.5.