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Cited by 555

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Mass loss of galaxies due to an ultraviolet background

Open access
Okamoto, Takashi, Gao, Liang, Theuns, Tom·2008·Monthly Notices of the Royal Astronomical Society

Abstract

We perform cosmological hydrodynamic simulations to determine to what extent galaxies lose their gas due to photoheating from an ionizing background. We find that the characteristic mass at which haloes on average have lost half of their baryons is Mc∼ 6.5 × 109h−1M⊙ at z= 0, which corresponds to a circular velocity of 25 km s−1. This is significantly lower than the filtering mass obtained by the linear theory, which is often used in semi-analytical models of galaxy formation. We demonstrate it is the gas temperature at the virial radius which determines whether a halo can accrete gas. A simple model that follows the merger history of the dark matter progenitors, and where gas accretion is not allowed when this temperature is higher than the virial temperature of the halo, reproduces the results from the simulation remarkably well. This model can be applied to any reionization history, and is easy to incorporate in semi-analytical models.

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Crossref · 10.1111/j.1365-2966.2008.13830.x

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Metadata

Authors
Okamoto, T., Gao, L., & Theuns, T.
Venue
Monthly Notices of the Royal Astronomical Society
Published
2008-11-01
Volume
390
Issue
3
Pages
920-928
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W1977745211
Cited by
555
References
1
FWCI
15.13
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Mass loss of galaxies due to an ultraviolet background. https://app.cochat.ai/papers/10.1111/j.1365-2966.2008.13830.x
The paper
Okamoto, T., Gao, L., & Theuns, T. (2008). Mass loss of galaxies due to an ultraviolet background. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1111/j.1365-2966.2008.13830.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.