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L-PICOLA: A parallel code for fast dark matter simulation

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TLDR
Compared to fully non-linear N-Body simulations, the L-PICOLA code can reproduce the z = 0 power spectrum and reduced bispectrum of dark matter to within 2% and 5% respectively on all scales of interest to measurements of Baryon Acoustic Oscillations and Redshift Space Distortions, but 3 orders of magnitude faster.
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This article is published in Astronomy and Computing.The article was published on 2015-09-01 and is currently open access. It has received 135 citations till now. The article focuses on the topics: Dark matter & Baryon acoustic oscillations.

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The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: mock galaxy catalogues for the BOSS Final Data Release

TL;DR: In this article, the authors reproduce the galaxy clustering catalogue from the SDSS-III Baryon Oscillation Spectroscopic Survey Final Data Release (BOSS DR11&DR12) with high fidelity on all relevant scales in order to allow a robust analysis of baryon acoustic oscillations and redshift space distortions.
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FastPM: a new scheme for fast simulations of dark matter and haloes

TL;DR: FastPM is introduced, a highly-scalable approximated particle mesh N-body solver, which implements the particle mesh (PM) scheme enforcing correct linear displacement (1LPT) evolution via modified kick and drift factors, employing a 2-dimensional domain decomposing scheme.
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Cosmological N-body simulations with suppressed variance

TL;DR: In this article, the authors used two simulations which are fixed (the initial Fourier mode amplitudes are fixed to the ensemble average power spectrum) and paired (with initial modes exactly out of phase) to measure the power spectrum, monopole and quadrupole redshift-space correlation functions, halo mass function and reduced bispectrum.
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DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications

TL;DR: This work presents a spherical CNN for analysis of full and partial HEALPix maps, which it is shown that the performance of DeepSphere is always superior or equal to both of these baselines and shows how learned filters can be visualized to introspect the neural network.
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Fast cosmic web simulations with generative adversarial networks

TL;DR: In this article, a GAN-generated sample of 2D image snapshots from N-body simulations of size 500 and 100 Mpc is used to train a generative adversarial network (GAN) to generate realistic realizations of the cosmic web.
References
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Journal ArticleDOI

The Sloan Digital Sky Survey: Technical Summary

Donald G. York
- 27 Jun 2000 - 
TL;DR: The Sloan Digital Sky Survey (SDSS) as mentioned in this paper provides the data to support detailed investigations of the distribution of luminous and non-luminous matter in the Universe: a photometrically and astrometrically calibrated digital imaging survey of pi steradians above about Galactic latitude 30 degrees in five broad optical bands.
Journal ArticleDOI

The Sloan Digital Sky Survey: Technical summary

Donald G. York, +151 more
TL;DR: The Sloan Digital Sky Survey (SDSS) as discussed by the authors provides the data to support detailed investigations of the distribution of luminous and non-luminous matter in the universe: a photometrically and astrometrically calibrated digital imaging survey of π sr above about Galactic latitude 30° in five broad optical bands to a depth of g' ~ 23 mag.
Book

Computer simulation using particles

TL;DR: In this paper, a simulation program for particle-mesh force calculation is presented, based on a one-dimensional plasma model and a collisionless particle model, which is used to simulate collisionless particle models.
Journal ArticleDOI

The Cosmological simulation code GADGET-2

TL;DR: GADGET-2 as mentioned in this paper is a massively parallel tree-SPH code, capable of following a collisionless fluid with the N-body method, and an ideal gas by means of smoothed particle hydrodynamics.
Journal ArticleDOI

Detection of the baryon acoustic peak in the large-scale correlation function of SDSS luminous red galaxies

Daniel J. Eisenstein, +51 more
TL;DR: In this paper, a large-scale correlation function measured from a spectroscopic sample of 46,748 luminous red galaxies from the Sloan Digital Sky Survey is presented, which demonstrates the linear growth of structure by gravitational instability between z ≈ 1000 and the present and confirms a firm prediction of the standard cosmological theory.
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