Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 99 tok/s
Gemini 2.5 Pro 43 tok/s Pro
GPT-5 Medium 28 tok/s
GPT-5 High 35 tok/s Pro
GPT-4o 94 tok/s
GPT OSS 120B 476 tok/s Pro
Kimi K2 190 tok/s Pro
2000 character limit reached

Damped Lyman-alpha systems in high-resolution hydrodynamical simulations (0904.3545v1)

Published 22 Apr 2009 in astro-ph.CO and astro-ph.GA

Abstract: We investigate the properties of Damped Lyman-alpha systems (DLAs) using high-resolution and large box-size cosmological hydrodynamical simulations of a LambdaCDM model. The numerical code used is a modification of GADGET-2 with a self consistent implementation of the metal enrichment mechanism (Tornatore et al. 2007). We explore the numerical convergence of some relevant physical quantities and we vary the parameters describing the properties of galactic winds; the initial stellar mass function; the linear dark matter power spectrum and the metal enrichment pattern of the IGM (Intergalactic Medium) around DLAs. We find that strong galactic winds with speed of about 600 km/s, in an energy-driven wind scenario, are needed in order to match the observed column density distribution function for DLAs and the evolution of the neutral hydrogen content with redshift. The momentum-driven implementation of the galactic wind model, that relates the speed and mass load in the wind to the properties of the dark matter haloes, shows a behaviour which is intermediate between the energy-driven galactic winds of small (100 km/s) and large (600 km/s) velocities. At z=3 the contribution of haloes of masses between 109 and 1010 h-1 M_sun, for DLAs below 1020.8 cm-2, to the column density distribution function, is significant. By interpolating physical quantities along line-of-sights through massive haloes we qualitatively show how different galactic wind models impact on the IGM around DLAs. Furthermore, we analyse statistics related to the velocity widths of SiII associated to DLAs: the metallicity in the wind seems to be rather clumpy and this produces an underestimation of the observed velocity widths. We outline possible solutions to this problem.

Citations (70)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.