Merging tree algorithm of growing voids in self-similar and CDM models

Russell, Esra

doi:10.1093/mnras/stt1830

Cited by 7 publications

(5 citation statements)

References 83 publications

(148 reference statements)

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“…This indicates that the size distributions of HOD Sparse and the N-body Mock sub-sample tends to have larger voids compared to the voids in HOD Dense due to their low density environment. This result agrees with Watson et al (2014); Jennings et al (2013); Russell (2013Russell ( , 2014. On the other hand, as aforementioned, the N-body Mock catalog has higher redshift z = 0.53 than the two other samples, therefore N-body Mock sample may imply larger size voids at z = 0 compared to HOD Sparse.…”

Section: Conclusion and Discussionsupporting

confidence: 86%

“…Today we know that voids dominate the total observed volume of the large scale structure (Kirshner et al 1981;Geller & Huchra 1989;da Costa et al 1994;Shectman et al 1996) and they are very sensitive to their environments which can strongly affect their shape as well their distributions (Sheth & van de Weygaert 2004;Russell 2013Russell , 2014. Therefore the void size distribution functions may play an important role to understand the dynamical processes affecting the structure formation of the Universe (Croton et al 2005;Goldberg & Vogeley 2004;Hoyle et al 2005).…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…Although there are some theoretical attempts to understand the dynamical, thermal and chemical evolution of the void population, and the interplay between galaxies and the intergalactic medium (Viel et al 2008;Shang et al 2007;Sheth & van de Weygaert 2004;Russell 2013Russell , 2014, a systematic investigation of void size distributions is still missing. Therefore, in this study we show that the void size distributions satisfy the 3parameter log-normal distribution and this distribution may be a good candidate to show the large scale environmental effects on voids.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

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A New Statistical Perspective to the Cosmic Void Distribution

Pycke¹,

Russell

2016

ApJ

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In this study, we obtain the size distribution of voids as a 3-parameter redshift independent lognormal void probability function (VPF) directly from the Cosmic Void Catalog (CVC). Although many statistical models of void distributions are based on the counts in randomly placed cells, the log-normal VPF that we here obtain is independent of the shape of the voids due to the parameter-free void finder of the CVC. We use three void populations drawn from the CVC generated by the Halo Occupation Distribution (HOD) Mocks which are tuned to three mock SDSS samples to investigate the void distribution statistically and the effects of the environments on the size distribution. As a result, it is shown that void size distributions obtained from the HOD Mock samples are satisfied by the 3-parameter log-normal distribution. In addition, we find that there may be a relation between hierarchical formation, skewness and kurtosis of the log-normal distribution for each catalog. We also show that the shape of the 3-parameter distribution from the samples is strikingly similar to the galaxy log-normal mass distribution obtained from numerical studies. This similarity of void size and galaxy mass distributions may possibly indicate evidence of nonlinear mechanisms affecting both voids and galaxies, such as large scale accretion and tidal effects. Considering in this study all voids are generated by galaxy mocks and show hierarchical structures in different levels, it may be possible that the same nonlinear mechanisms of mass distribution affect the void size distribution.

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Section: Conclusion and Discussionsupporting

confidence: 86%

Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Conclusion and Discussionmentioning

confidence: 99%

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A New Statistical Perspective to the Cosmic Void Distribution

Pycke¹,

Russell

2016

ApJ

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“…Thus the void destruction rate does not play a significant role in the late-time evolution of voids, and can be ignored in theoretical treatments. Additionally, as pointed out by Russell (2013), the collapsing process is completely negligible for all but the smallest voids, although this result is in conflict with analyses based on the adhesion approximation (Sahni et al 1994).…”

Section: Discussionmentioning

confidence: 77%

The life and death of cosmic voids

Sutter¹,

Elahi²,

Falck³

et al. 2014

Monthly Notices of the Royal Astronomical Society

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We investigate the formation, growth, merger history, movement, and destruction of cosmic voids detected via the watershed transform code VIDE in a cosmological Nbody dark matter ΛCDM simulation. By adapting a method used to construct halo merger trees, we are able to trace individual voids back to their initial appearance and record the merging and evolution of their progenitors at high redshift. For the scales of void sizes captured in our simulation, we find that the void formation rate peaks at scale factor 0.3, which coincides with a growth in the void hierarchy and the emergence of dark energy. Voids of all sizes appear at all scale factors, though the median initial void size decreases with time. When voids become detectable they have nearly their present-day volumes. Almost all voids have relatively stable growth rates and suffer only infrequent minor mergers. Dissolution of a void via merging is very rare. Instead, most voids maintain their distinct identity as annexed subvoids of a larger parent. The smallest voids are collapsing at the present epoch, but void destruction ceases after scale factor 0.3. In addition, voids centers tend to move very little, less than 0.01 of their effective radii per ln a, over their lifetimes. Overall, most voids exhibit little radical dynamical evolution; their quiet lives make them pristine probes of cosmological initial conditions and the imprint of dark energy.

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“…This fact has been known since early studies that showed voids are integral features of the Universe (Chincarini & Rood 1975;Gregory & Thompson 1978;Einasto et al 1980;Weygaert & Platen 2011). Sheth & van de Weygaert (2004); Russell (2013Russell ( , 2014 show that the distribution of voids can be affected by their environments. As a result, the void size distribution may play a crucial role to understand the dynamical processes affecting the structure formation of the Universe (Croton et al 2005;Goldberg & Vogeley 2004;Hoyle et al 2005).…”

Section: Introductionmentioning

confidence: 91%

Log-Normal Distribution of Cosmic Voids in Simulations and Mocks

Russell¹,

Pycke

2017

ApJ

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Following up on previous studies, we here complete a full analysis of the void size distributions of the Cosmic Void Catalog (CVC) based on three different simulation and mock catalogs; dark matter, haloes and galaxies. Based on this analysis, we attempt to answer two questions: Is a 3-parameter log-normal distribution a good candidate to satisfy the void size distributions obtained from different types of environments? Is there a direct relation between the shape parameters of the void size distribution and the environmental effects? In an attempt to answer these questions, we here find that all void size distributions of these data samples satisfy the 3-parameter log-normal distribution whether the environment is dominated by dark matter, haloes or galaxies. In addition, the shape parameters of the 3-parameter log-normal void size distribution seem highly affected by environment, particularly existing substructures. Therefore, we show two quantitative relations given by linear equations between the skewness and the maximum tree depth, and variance of the void size distribution and the maximum tree depth directly from the simulated data. In addition to this, we find that the percentage of the voids with nonzero central density in the data sets has a critical importance. If the number of voids with nonzero central densities reaches ≥ %3.84 in a simulation/mock sample, then a second population is observed in the void size distributions. This second population emerges as a second peak in the log-normal void size distribution at larger radius.

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Merging tree algorithm of growing voids in self-similar and CDM models

Cited by 7 publications

References 83 publications

A New Statistical Perspective to the Cosmic Void Distribution

A New Statistical Perspective to the Cosmic Void Distribution

The life and death of cosmic voids

Log-Normal Distribution of Cosmic Voids in Simulations and Mocks

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