The evolution of large-scale structure in a universe dominated by cold dark matter

By M. Davis, G. Efstathiou, Carlos S. Frenk, Simon D. M. White. 1985

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One simulation to fit them all - changing the background parameters of a cosmological N-body simulation (2009, methodology): “These catalogues were built using a FoF group finder (Davis et al. 1985) with a linking length equal to 20% of the mean interparticle separation, which approximately selects objects with 200 times the mean density.”
Velocity and spatial biases in cold dark matter subhalo distributions (2004, methodology): “We identify subhaloes with SKID (Stadel 2001) and with a new parallel adaptive Friends of Friends (‘FoF’, see Davis et al. 1985) group finder (‘AdFoF’).”
EMERGE – an empirical model for the formation of galaxies since z ∼ 10 (2017, background): “The remaining dark components are the dynamically cold and collisionless dark matter (Zwicky 1933; Davis et al. 1985), and a near-uniform dark energy field which can be described by a cosmological constant (Riess et al. 1998; Perlmutter et al. 1999b; Perlmutter, Turner & White 1999a).”
The MassiveBlack-II simulation: The evolution of haloes and galaxies to z ~ 0 (2014, methodology): “We identify haloes with the friends-of-friends (FOF) procedure (Davis et al. 1985) applied to dark matter particles with a linking length of b = 0.2 times the mean interparticle separation.”
Baryonic Acoustic Oscillations in Simulated Galaxy Redshift Surveys (2005, methodology): “We use the friends-of-friends method (Davis et al. 1985) and identify halos by adopting a linking length of 0.6 h−1 Mpc and minimum group multiplicities of 4, 10, or 30 particles.”
Cosmological constraints from a combination of galaxy clustering and lensing – I. Theoretical framework (2012, methodology): “(65) The subscript 0 indicates that this fitting function was calibrated using N-body simulations in which the haloes were identified using the friends-of-friends (FOF) percolation algorithm (e.g., Davis et al. 1985), with a linking length of 0.2 times the mean inter-particle separation.”
Simulating the Sunyaev-Zeldovich Effect(s): Including Radiative Cooling and Energy Injection by Galactic Winds (2002, methodology): “We produced this by running a friends-offriends (FoF) group finder (e.g., Davis et al. 1985) with a linking length of b ¼ 0:15 (in units of the mean interparticle spacing).”
FastPM: a new scheme for fast simulations of dark matter and haloes (2016, methodology): “In all simulations, the Friendof-Friend finder uses a linking length of 0.2 times the mean separation of particles (Davis et al. 1985).”
The biggest splash (2019, methodology): “Haloes and bound (sub)structures were identified using the FOF and SUBFIND algorithms (see Davis et al. 1985; Springel, Yoshida & White 2001).”
Dancing in the dark: galactic properties trace spin swings along the cosmic web (2014, background): “…by Said Business School user on 07 November 2017 cosmic web made of clustered haloes, filaments, sheets and voids (e.g. Zeldovich, Einasto & Shandarin 1982; Klypin & Shandarin 1983; Blumenthal et al. 1984; Davis et al. 1985).”
The mass–concentration–redshift relation of cold and warm dark matter haloes (2016, methodology): “All simulation outputs were processed with a friends-of-friends (FoF) group finder (Davis et al. 1985) using a linking-length of b = 0.2 times the Lagrangian interparticle separation; at each snapshot, groups with fewer than 20 particles were discarded.”
Non-linear evolution of cosmological structures in warm dark matter models (2011, methodology): “Dark matter haloes in the simulations were located using the Friends-of-Friends algorithm (Davis et al. 1985).”
Galaxy Clusters in Hubble Volume Simulations: Cosmological Constraints from Sky Survey Populations (2001, background): “The threshold separation, typically expressed as a fraction η of the mean interparticle spacing, is a parameter whose variation leads to families of groups, referred to as FOF(η), with favorable nesting properties (Davis et al. 1985).”
Lyα COOLING EMISSION FROM GALAXY FORMATION (2010, methodology): “A friends-of-friends (FoF) algorithm (e.g., Davis et al. 1985) with linking length set to b = 0.2 in units of the mean interparticle separation is used to identify the dark matter halos in the simulations.”
An alternative to the cosmological 'concordance model' (2003, background): “Thus the H-Z spectrum became a standard input for calculations of CMB anisotropies and the growth of LSS, e.g. in the standard cold dark matter (SCDM) model (Davis et al. 1985).”
The inner structure of ΛCDM haloes – III. Universality and asymptotic slopes (2003, methodology): “The resimulated haloes analysed in this paper were all identified in the parent simulations by applying the friends-of-friends (FoF) group-finding algorithm (Davis et al. 1985) with a linking length l = 0.164.”
The behaviour of dark matter associated with four bright cluster galaxies in the 10 kpc core of Abell 3827 (2015, background): “However, its gravitational attraction pulls low-mass systems into a series of hierarchical mergers through which dark and ordinary matter are gradually assembled into giant clusters of galaxies (Davis et al. 1985).”