2020
DOI: 10.1093/mnras/staa445
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Characterizing the structure of halo merger trees using a single parameter: the tree entropy

Abstract: Linking the properties of galaxies to the assembly history of their dark matter haloes is a central aim of galaxy evolution theory. This paper introduces a dimensionless parameter s ∈ [0, 1], the 'tree entropy', to parametrise the geometry of a halo's entire mass assembly hierarchy, building on a generalisation of Shannon's information entropy. By construction, the minimum entropy (s = 0) corresponds to smoothly assembled haloes without any mergers. In contrast, the highest entropy (s = 1) represents haloes gr… Show more

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Cited by 19 publications
(16 citation statements)
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References 126 publications
(136 reference statements)
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“…But the entropy increase in major mergers can only be detected provided the initial configuration is known. This is what happens in simulations where it is seen, indeed, that major mergers cause an entropy increase with respect to the case of accretion compatible with no increase (Obreschkow et al 2020).…”
Section: Major Mergers and Gaussian Windowsupporting
confidence: 70%
“…But the entropy increase in major mergers can only be detected provided the initial configuration is known. This is what happens in simulations where it is seen, indeed, that major mergers cause an entropy increase with respect to the case of accretion compatible with no increase (Obreschkow et al 2020).…”
Section: Major Mergers and Gaussian Windowsupporting
confidence: 70%
“…But the entropy increase in major mergers can only be detected provided the initial configuration is known. This is what happens in simulations where it is indeed seen that major mergers cause an entropy increase with respect to the case of accretion compatible with no increase (Obreschkow et al 2000).…”
Section: Major Mergers and Gaussian Windowsupporting
confidence: 69%
“…),Weinzirl et al (2009),Gargiulo et al (2015),Pedrosa & Tissera (2015),Irodotou et al (2019),Obreschkow et al (2020), andZanisi et al (2020). Finally, we note that even though…”
mentioning
confidence: 52%