2014
DOI: 10.1093/mnras/stu1848
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Essential physics of early galaxy formation

Abstract: We present a theoretical model embedding the essential physics of early galaxy formation (z 5 − 12) based on the single premise that any galaxy can form stars with a maximal limiting efficiency that provides enough energy to expel all the remaining gas, quenching further star formation. This simple idea is implemented into a merger-tree based semi-analytical model that utilises two mass and redshiftindependent parameters to capture the key physics of supernova feedback in ejecting gas from low-mass halos, and … Show more

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Cited by 162 publications
(242 citation statements)
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“…This last work is most similar in spirit to our approach, though it does not include gas loss from SN winds, which progressively decreases the gas fraction in galaxies as shown in Dayal et al (2014a). A major caveat in many of these existing works is their assumption of a cosmology-independent massto-light ratio (M/L) or ionizing photon production rate-to-mass ratio.…”
Section: Introductionmentioning
confidence: 94%
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“…This last work is most similar in spirit to our approach, though it does not include gas loss from SN winds, which progressively decreases the gas fraction in galaxies as shown in Dayal et al (2014a). A major caveat in many of these existing works is their assumption of a cosmology-independent massto-light ratio (M/L) or ionizing photon production rate-to-mass ratio.…”
Section: Introductionmentioning
confidence: 94%
“…We now briefly summarize the theoretical model and interested readers are referred to Dayal et al (2014aDayal et al ( , 2014b for complete details. We construct 400 merger trees starting at z = 4, linearly distributed across the halo mass range…”
Section: Merger Trees and The Baryonic Implementationmentioning
confidence: 99%
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“…Lacey et al 2011;Muñoz 2012;Jaacks et al 2013;Behroozi & Silk 2014;Dayal et al 2014;Mashian et al 2015). However, the earlier implementations had two limitations.…”
Section: Introductionmentioning
confidence: 99%