sCOLA: The N-body COLA Method Extended to the Spatial Domain
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Matias Zaldarriaga | Benjamin D. Wandelt | Svetlin Tassev | Daniel J. Eisenstein | D. Eisenstein | B. Wandelt | M. Zaldarriaga | S. Tassev
[1] B. Wandelt,et al. Bayesian analysis of the dynamic cosmic web in the SDSS galaxy survey , 2015, 1502.02690.
[2] P. Fosalba,et al. nIFTy cosmology: galaxy/halo mock catalogue comparison project on clustering statistics , 2014, 1412.7729.
[3] Chris Power,et al. halogen: a tool for fast generation of mock halo catalogues , 2014, 1412.5228.
[4] W. Percival,et al. The clustering of the SDSS main galaxy sample – II. Mock galaxy catalogues and a measurement of the growth of structure from redshift space distortions at z = 0.15 , 2014, 1409.3238.
[5] Ashley J. Ross,et al. The clustering of the SDSS DR7 Main Galaxy Sample I: a 4 per cent distance measure at z=0.15 , 2014, 1409.3242.
[6] Cheng Zhao,et al. EZmocks: Extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics , 2014, 1409.1124.
[7] F. Kitaura,et al. Constraining the halo bispectrum in real and redshift space from perturbation theory and non-linear stochastic bias , 2014, 1407.1236.
[8] W. Percival,et al. The clustering of the SDSS DR 7 main Galaxy sample – I . A 4 per cent distance measure at z = 0 , 2015 .
[9] B. Wandelt,et al. Dark matter voids in the SDSS galaxy survey , 2014, 1410.0355.
[10] Scott Croom,et al. The WiggleZ Dark Energy Survey: improved distance measurements to z = 1 with reconstruction of the baryonic acoustic feature , 2014, 1401.0358.
[11] S. Tassev. Lagrangian or Eulerian; real or Fourier? Not all approaches to large-scale structure are created equal , 2013, 1311.4884.
[12] Martin White,et al. Mock galaxy catalogues using the quick particle mesh method , 2013, 1309.5532.
[13] M. Zaldarriaga,et al. The Lagrangian-space Effective Field Theory of large scale structures , 2013, 1311.2168.
[14] A. Jenkins. A new way of setting the phases for cosmological multiscale Gaussian initial conditions. , 2013, 1306.5968.
[15] S. Borgani,et al. An accurate tool for the fast generation of dark matter halo catalogues. , 2013, 1305.1505.
[16] Matias Zaldarriaga,et al. Solving large scale structure in ten easy steps with COLA , 2013, 1301.0322.
[17] B. Reid,et al. Convolution Lagrangian perturbation theory for biased tracers , 2012, 1209.0780.
[18] J. Brinkmann,et al. The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey:a large sample of mock galaxy catalogues , 2012, 1203.6609.
[19] Benjamin Dan Wandelt,et al. One-point remapping of Lagrangian perturbation theory in the mildly non-linear regime of cosmic structure formation , 2013 .
[20] L. Senatore,et al. The effective field theory of cosmological large scale structures , 2012, 1206.2926.
[21] M. Zaldarriaga,et al. Estimating CDM particle trajectories in the mildly non-linear regime of structure formation. Implications for the density field in real and redshift space , 2012, 1203.5785.
[22] Oliver Hahn,et al. Multi-scale initial conditions for cosmological simulations , 2011, 1103.6031.
[23] I. Szapudi,et al. FAST GENERATION OF ENSEMBLES OF COSMOLOGICAL N-BODY SIMULATIONS VIA MODE RESAMPLING , 2011, 1103.2767.
[24] M. White,et al. EMBEDDING REALISTIC SURVEYS IN SIMULATIONS THROUGH VOLUME REMAPPING , 2010, 1003.3178.
[25] Simon D. M. White,et al. One simulation to fit them all - changing the background parameters of a cosmological N-body simulation , 2009, 0912.4277.
[26] M. Crocce,et al. Transients from initial conditions in cosmological simulations , 2006, astro-ph/0606505.
[27] R. Sheth,et al. PTHALOS: a fast method for generating mock galaxy distributions , 2001, astro-ph/0106120.
[28] S. Colombi,et al. Perturbative Lagrangian Approach to Gravitational Instability , 1994, astro-ph/9406013.