191 citations · 1.1k across the 19 of their papers we have counts for
20 papers
The life and times of dark matter haloes: what will I be when I grow up?
Julian Onions, Frazer Pearce, Alexander Knebe +6
Are the most massive objects in the Universe today the direct descendants of the most massive objects at higher redshift? We address this question by tracing the evolutionary histo…
Cosmic CARNage II: the evolution of the galaxy stellar mass function in observations and galaxy formation models
Rachel Asquith, Frazer R. Pearce, Omar Almaini +24
We present a comparison of the observed evolving galaxy stellar mass functions with the predictions of eight semi-analytic models and one halo occupation distribution model. While…
Cosmic CARNage I: on the calibration of galaxy formation models
Alexander Knebe, Frazer R. Pearce, Violeta Gonzalez-Perez +31
We present a comparison of nine galaxy formation models, eight semi-analytical and one halo occupation distribution model, run on the same underlying cold dark matter simulation (c…
nIFTy Cosmology: the clustering consistency of galaxy formation models
Arnau Pujol, Ramin A. Skibba, Enrique Gaztañaga +35
We present a clustering comparison of 12 galaxy formation models (including Semi-Analytic Models (SAMs) and Halo Occupation Distribution (HOD) models) all run on halo catalogues an…
Sussing Merger Trees: Stability and Convergence
Yang Wang, Frazer R. Pearce, Alexander Knebe +15
Merger trees are routinely used to follow the growth and merging history of dark matter haloes and subhaloes in simulations of cosmic structure formation. Srisawat et al. (2013) co…
Sussing Merger Trees: A proposed Merger Tree data format
Peter A. Thomas, Julian Onions, Dylan Tweed +13
We propose a common terminology for use in describing both temporal merger trees and spatial structure trees for dark-matter halos. We specify a unified data format in HDF5 and pro…
nIFTy Cosmology: Comparison of Galaxy Formation Models
Alexander Knebe, Frazer R. Pearce, Peter A. Thomas +33
We present a comparison of 14 galaxy formation models: 12 different semi-analytical models and 2 halo-occupation distribution models for galaxy formation based upon the same cosmol…
Matter power spectrum and the challenge of percent accuracy
Aurel Schneider, Romain Teyssier, Doug Potter +7
Future galaxy surveys require one percent precision in the theoretical knowledge of the power spectrum over a large range including very nonlinear scales. While this level of accur…
Solving the puzzle of subhalo spins
Yang Wang, Weipeng Lin, Frazer R. Pearce +3
Investigating the spin parameter distribution of subhaloes in two high resolution isolated halo simulations, re- cent work by Onions et al. suggested that typical subhalo spins are…
Sussing Merger Trees : The Impact of Halo Merger Trees on Galaxy Properties in a Semi-Analytic Model
Jaehyun Lee, Sukyoung K. Yi, Pascal J. Elahi +13
A halo merger tree forms the essential backbone of a semi-analytic model for galaxy formation and evolution. Recent studies have pointed out that extracting merger trees from numer…
The life and death of cosmic voids
P. M. Sutter, Pascal Elahi, Bridget Falck +5
We investigate the formation, growth, merger history, movement, and destruction of cosmic voids detected via the watershed transform code VIDE in a cosmological N-body dark matter…
Sussing Merger Trees: the influence of the halo finder
Santiago Avila, Alexander Knebe, Frazer R. Pearce +9
Merger tree codes are routinely used to follow the growth and merger of dark matter haloes in simulations of cosmic structure formation. Whereas in Srisawat et. al. we compared the…
Subhaloes gone Notts: Subhaloes as tracers of the dark matter halo shape
Kai Hoffmann, Susana Planelles, Enrique Gaztanaga +14
We study the shapes of subhalo distributions from four dark-matter-only simulations of Milky Way type haloes. Comparing the shapes derived from the subhalo distributions at high re…
Subhaloes gone Notts: the clustering properties of subhaloes
Arnau Pujol, Enrique Gaztanaga, Carlo Giocoli +13
We present a study of the substructure finder dependence of subhalo clustering in the Aquarius Simulation. We run 11 different subhalo finders on the haloes of the Aquarius Simulat…
Sussing Merger Trees: The Merger Trees Comparison Project
Chaichalit Srisawat, Alexander Knebe, Frazer R. Pearce +15
Merger trees follow the growth and merger of dark-matter haloes over cosmic history. As well as giving important insights into the growth of cosmic structure in their own right, th…
Streams Going Notts: The tidal debris finder comparison project
Pascal J. Elahi, Jiaxin Han, Hanni Lux +6
While various codes exist to systematically and robustly find haloes and subhaloes in cosmological simulations (Knebe et al., 2011, Onions et al., 2012), this is the first work to…
Structure Finding in Cosmological Simulations: The State of Affairs
Alexander Knebe, Frazer R. Pearce, Hanni Lux +32
The ever increasing size and complexity of data coming from simulations of cosmic structure formation demands equally sophisticated tools for their analysis. During the past decade…
Subhaloes gone Notts: Spin across subhaloes and finders
Julian Onions, Yago Ascasibar, Peter Behroozi +15
We present a study of a comparison of spin distributions of subhaloes found associated with a host halo. The subhaloes are found within two cosmological simulation families of Milk…
Galaxies going MAD: The Galaxy-Finder Comparison Project
Alexander Knebe, Noam I. Libeskind, Frazer Pearce +8
With the ever increasing size and complexity of fully self-consistent simulations of galaxy formation within the framework of the cosmic web, the demands upon object finders for th…
SubHaloes going Notts: The SubHalo-Finder Comparison Project
Julian Onions, Alexander Knebe, Frazer R. Pearce +14
We present a detailed comparison of the substructure properties of a single Milky Way sized dark matter halo from the Aquarius suite at five different resolutions, as identified by…