Smooth stochastic density field reconstruction

  title={Smooth stochastic density field reconstruction},
  author={Miguel Angel Aragon-Calvo},
  journal={arXiv: Cosmology and Nongalactic Astrophysics},
  • M. Aragon-Calvo
  • Published 26 May 2020
  • Computer Science
  • arXiv: Cosmology and Nongalactic Astrophysics
We introduce a method for generating a continuous, mass-conserving and high-order differentiable density field from a discrete point distribution such as particles or halos from an N-body simulation or galaxies from a spectroscopic survey. The method consists on generating an ensemble of point realizations by perturbing the original point set following the geometric constraints imposed by the Delaunay tessellation in the vicinity of each point in the set. By computing the mean field of the… 

Figures from this paper

Encoding large scale cosmological structure with Generative Adversarial Networks

This work builds and train a GAN and uses a trained GAN to construct a simple autoencoder (AE) as a first step towards building a predictive model, and shows that the AE manages to efficiently extract information from simulation images.

The Cambridge N-body lectures

Direct N-Body Codes.- Regular Algorithms for the Few-Body Problem.- Resonance, Chaos and Stability: The Three-Body Problem in Astrophysics.- Fokker-planck Treatment of Collisional Stellar Dynamics.-

1579 APPENDIX A: IMAGE DENOISING AND ARTIFACT REDUCTION In this section we describe preliminary results of a variation of the technique presented here applied to image denoising

  • A&A,
  • 2000

Properties of galaxies reproduced by a hydrodynamic simulation

A simulation that starts 12 million years after the Big Bang, and traces 13 billion years of cosmic evolution with 12 billion resolution elements in a cube of 106.5 megaparsecs a side yields a reasonable population of ellipticals and spirals, reproduces the observed distribution of galaxies in clusters and characteristics of hydrogen on large scales, and at the same time matches the ‘metal’ and hydrogen content of galaxies on small scales.

A brief description of natural neighbor interpolation

Submegaparsec individual photometric redshift estimation from cosmic web constraints

We present a method, PhotoWeb, for estimating photometric redshifts of individual galaxies, and their equivalent distance, with megaparsec and even submegaparsec accuracy using the cosmic web as a

The Sloan Digital Sky Survey: Technical Summary

The Sloan Digital Sky Survey (SDSS) will provide the data to support detailed investigations of the distribution of luminous and nonluminous matter in the universe: a photometrically and

Detecting filamentary pattern in the cosmic web: a catalogue of filaments for the SDSS

The main feature of the spatial large-scale galaxy distribution is its intricate network of galaxy filaments. This network is spanned by the galaxy locations that can be interpreted as a

NEXUS: Tracing the cosmic web connection

The NEXUS algorithm is introduced, a multiscale and automatic morphological analysis tool that identifies all the cosmic structures in a scale free way, without preference for a certain size or shape and the method captures much better the filamentary and wall networks and is successful in detecting even the fainter structures.

Tracing the dark matter sheet in phase space

The primordial velocity dispersion of dark matter is small compared to the velocities attained during structure formation. The initial density distribution is close to uniform and it occupies an

SDSS DR7 superclusters - The catalogues

We have constructed a set of supercluster catalogues for the galaxies from the SDSS survey main and luminous red galaxy (LRG) flux-limited samples. To delineate superclusters, we calculated