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Diagnosing galactic feedback with the line broadening in the low redshift Lyα forest

Published version
Peer-reviewed

Type

Article

Change log

Authors

Viel, M 
Haehnelt, MG 
Bolton, JS 
Kim, T-S 
Puchwein, E 

Abstract

We compare the low-redshift (z ≃ 0.1) Lyα forest from hydrodynamical simulations with data from the Cosmic Origins Spectrograph. We find the tension between the observed number of lines with b-parameters in the range of 25–45 km s−1 and the predictions from simulations that incorporate either vigorous feedback from active galactic nuclei or that exclude feedback altogether. The gas in these simulations is, respectively, either too hot to contribute to the Lyα absorption or too cold to produce the required linewidths. Matching the observed b-parameter distribution therefore requires feedback processes that thermally or turbulently broaden the absorption features without collisionally (over)ionizing hydrogen. This suggests that the Lyα forest b-parameter distribution is a valuable diagnostic of galactic feedback in the low-redshift Universe. We furthermore confirm that the low-redshift Lyα forest column density distribution is better reproduced by an ultraviolet background with the HI photoionization rate a factor of 1.5–3 higher than predicted by Haardt and Madau.

Description

Keywords

methods: numerical, intergalactic medium, quasars: absorption lines, diffuse radiation, large-scale structure of Universe

Journal Title

Monthly Notices of the Royal Astronomical Society

Conference Name

Journal ISSN

1745-3925
1745-3933

Volume Title

467

Publisher

Oxford University Press
Sponsorship
Science and Technology Facilities Council (ST/J005673/1)
Science and Technology Facilities Council (ST/K00333X/1)
Science and Technology Facilities Council (ST/M00418X/1)
Science and Technology Facilities Council (ST/M007065/1)
Science and Technology Facilities Council (ST/L000636/1)
Science and Technology Facilities Council (ST/N000927/1)
Science and Technology Facilities Council (ST/P000673/1)
Science and Technology Facilities Council (ST/H008586/1)
European Research Council (320596)
STFC (ST/M007073/1)
Science and Technology Facilities Council (ST/P002315/1)
Science and Technology Facilities Council (ST/R002452/1)
MV is supported by INFN/PD51 Indark, and (with TSK) ERC Grant 257670-cosmoIGM. JSB is supported by a Royal Society URF. MGH and EP acknowledge support from the FP7 ERC Grant Emergence-320596 and the Kavli Foundation. Simulations were performed at the University of Cam- bridge with Darwin-HPCS and COSMOS, operated on behalf of the STFC DiRAC facility (funded by BIS National E-infrastructure capital grant ST/J005673/1 and STFC grants ST/H008586/1, ST/K00333X/1), and on the Curie supercomputer at TGCC through the 8th PRACE call. BPW is supported by NASA grants HST-AR-12842, HST-AR-13893 from STSCI operated by AURA under contract NAS5-26555 and AST-1108913 by NSF.