Particle tagging and its implications for stellar population dynamics

Le Bret, T.; Pontzen, A.; Cooper, A.P.; Frenk, C.; Zolotov, A.; Brooks, A.M.; Governato, F.; Parry, O.H.

Abstract

We establish a controlled comparison between the properties of galactic stellar haloes obtained with hydrodynamical simulations and with ‘particle tagging’. Tagging is a fast way to obtain stellar population dynamics: instead of tracking gas and star formation, it ‘paints’ stars directly on to a suitably defined subset of dark matter particles in a collisionless, dark-matter-only simulation. Our study shows that ‘live’ particle tagging schemes, where stellar masses are painted on to the dark matter particles dynamically throughout the simulation, can generate good fits to the hydrodynamical stellar density profiles of a central Milky Way-like galaxy and its most prominent substructure. Energy diffusion processes are crucial to reshaping the distribution of stars in infalling spheroidal systems and hence the final stellar halo. We conclude that the success of any particular tagging scheme hinges on this diffusion being taken into account, and discuss the role of different subgrid feedback prescriptions in driving this diffusion.

Citation

Le Bret, T., Pontzen, A., Cooper, A., Frenk, C., Zolotov, A., Brooks, A., Governato, F., & Parry, O. (2017). Particle tagging and its implications for stellar population dynamics. Monthly Notices of the Royal Astronomical Society, 468(3), 3212-3222. https://doi.org/10.1093/mnras/stx552

• Journal Article Type: Article
• Acceptance Date: Mar 1, 2017
• Online Publication Date: Mar 8, 2017
• Publication Date: Jul 1, 2017
• Deposit Date: Jul 18, 2017
• Publicly Available Date: Jul 18, 2017
• Journal: Monthly Notices of the Royal Astronomical Society
• Print ISSN: 0035-8711
• Electronic ISSN: 1365-2966
• Publisher: Royal Astronomical Society
• Peer Reviewed: Peer Reviewed
• Volume: 468
• Issue: 3
• Pages: 3212-3222
• DOI: https://doi.org/10.1093/mnras/stx552
• Public URL: https://durham-repository.worktribe.com/output/1373669