Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-22T12:44:55.185Z Has data issue: false hasContentIssue false
  • English
  • Français

Answers from the Void: VIDE and its Applications

Published online by Cambridge University Press:  12 October 2016

P. M. Sutter ,
N. Hamaus ,
A. Pisani ,
G. Lavaux  and
B. D. Wandelt
P. M. Sutter
Affiliation:
Sorbonne Universités, UPMC Univ Paris 06, UMR7095, F-75014, Paris, France CNRS, UMR7095, Institut d'Astrophysique de Paris, F-75014, Paris, France Center for Cosmology and AstroParticle Physics, Ohio State University, Columbus, USA
N. Hamaus
Affiliation:
Sorbonne Universités, UPMC Univ Paris 06, UMR7095, F-75014, Paris, France CNRS, UMR7095, Institut d'Astrophysique de Paris, F-75014, Paris, France
A. Pisani
Affiliation:
Sorbonne Universités, UPMC Univ Paris 06, UMR7095, F-75014, Paris, France CNRS, UMR7095, Institut d'Astrophysique de Paris, F-75014, Paris, France
G. Lavaux
Affiliation:
Sorbonne Universités, UPMC Univ Paris 06, UMR7095, F-75014, Paris, France CNRS, UMR7095, Institut d'Astrophysique de Paris, F-75014, Paris, France
B. D. Wandelt
Affiliation:
Sorbonne Universités, UPMC Univ Paris 06, UMR7095, F-75014, Paris, France CNRS, UMR7095, Institut d'Astrophysique de Paris, F-75014, Paris, France Department of Physics, University of Illinois at Urbana-Champaign, Urbana, USA Department of Astronomy, University of Illinois at Urbana-Champaign, Urbana, USA
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We discuss various applications of vide, the Void IDentification and Examination toolkit, an open-source Python/C++ code for finding cosmic voids in galaxy redshift surveys and $N$-body simulations. Based on a substantially enhanced version of ZOBOV, vide not only finds voids, but also summarizes their properties, extracts statistical information, and provides a Python-based platform for more detailed analysis, such as manipulating void catalogs and particle members, filtering, plotting, computing clustering statistics, stacking, comparing catalogs, and fitting density profiles. vide also provides significant additional functionality for pre-processing inputs: for example, vide can work with volume- or magnitude-limited galaxy samples with arbitrary survey geometries, or dark matter particles or halo catalogs in a variety of common formats. It can also randomly subsample inputs and includes a Halo Occupation Distribution model for constructing mock galaxy populations. vide has been used for a wide variety of applications, from discovering a universal density profile to estimating primordial magnetic fields, and is publicly available at http://bitbucket.org/cosmicvoids/vide\_public and http://www.cosmicvoids.net.

Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 11 , Symposium S308: The Zeldovich Universe: Genesis and Growth of the Cosmic Web , June 2014 , pp. 524 - 529
Copyright
Copyright © International Astronomical Union 2016 

References

Berlind, A. A. & Weinberg, D. H., 2002, ApJ, 575, 587 CrossRefGoogle Scholar
Bos, E. G. P., van de Weygaert, R., Dolag, K., & Pettorino, V., 2012, Mon. Not. R. Astron. Soc., 426, 440 CrossRefGoogle Scholar
Cai, Y.-C., Neyrinck, M. C., Szapudi, I., Cole, S., & Frenk, C. S., 2014, ApJ, 786, 110 CrossRefGoogle Scholar
Carlesi, E., Knebe, A., Lewis, G. F., Wales, S., & Yepes, G., 2014, Mon. Not. R. Astron. Soc., 439, 2943 CrossRefGoogle Scholar
Clampitt, J., Cai, Y.-C., & Li, B., 2013, Mon. Not. R. Astron. Soc., 431, 749 CrossRefGoogle Scholar
Clampitt, J. & Jain, B., 2014, ArXiv e-prints: 1404.1834Google Scholar
Dubey, A., Reid, L. B., & Fisher, R., 2008, Physica Scripta, T132, 014046 CrossRefGoogle Scholar
Furniss, A., Sutter, P. M., Primack, J. R., & Dominguez, A., 2014, ArXiv e-prints: 1407.6307Google Scholar
Gorski, K. M., Hivon, E., Banday, A. J., Wandelt, B. D., Hansen, F. K., Reinecke, M., & Bartelmann, M., 2005, ApJ, 622, 759 CrossRefGoogle Scholar
Gregory, S. A. & Thompson, L. A., 1978, ApJ, 222, 784 CrossRefGoogle Scholar
Hamaus, N., Sutter, P. M., & Wandelt, B. D., 2014, Physical Review Letters, 112, 251302 CrossRefGoogle Scholar
Hamaus, N., Wandelt, B. D., Sutter, P. M., Lavaux, G., & Warren, M. S., 2014, Physical Review Letters, 112, 041304 CrossRefGoogle Scholar
Ilić, S., Langer, M., & Douspis, M., 2013, Astron. & Astrophys., 556, A51 CrossRefGoogle Scholar
Li, B., Zhao, G.-B., & Koyama, K., 2012, Mon. Not. R. Astron. Soc., 421, 3481 CrossRefGoogle Scholar
Melchior, P., Sutter, P. M., Sheldon, E. S., Krause, E., & Wandelt, B. D., 2014, Mon. Not. R. Astron. Soc., 440, 2922 CrossRefGoogle Scholar
Neyrinck, M. C., 2008, Mon. Not. R. Astron. Soc., 386, 2101 CrossRefGoogle Scholar
Pan, D. C., Vogeley, M. S., Hoyle, F., Choi, Y.-Y., & Park, C., 2012, Mon. Not. R. Astron. Soc., 421, 926 CrossRefGoogle Scholar
Pisani, A., Lavaux, G., Sutter, P. M., & Wandelt, B. D., 2013, ArXiv e-prints: 1306.3052Google Scholar
Planck Collaboration 2013, ArXiv e-prints: 1303.5079Google Scholar
Platen, E., van de Weygaert, R., & Jones, B. J. T., 2007, Mon. Not. R. Astron. Soc., 380, 551 CrossRefGoogle Scholar
Springel, V., 2005, Mon. Not. R. Astron. Soc., 364, 1105 CrossRefGoogle Scholar
Sutter, P. M., Carlesi, E., Wandelt, B. D., & Knebe, A., 2014, ArXiv e-printsGoogle Scholar
Sutter, P. M., Elahi, P., Falck, B., Onions, J., Hamaus, N., Knebe, A., Srisawat, C., & Schneider, A., 2014, ArXiv e-prints: 1403.7525Google Scholar
Sutter, P. M., et al., 2014, ArXiv e-prints: 1406.1191Google Scholar
Sutter, P. M., Lavaux, G., Hamaus, N., Wandelt, B. D., Weinberg, D. H., & Warren, M. S., 2014, Mon. Not. R. Astron. Soc., 442, 462 CrossRefGoogle Scholar
Sutter, P. M., Lavaux, G., Wandelt, B. D., & Weinberg, D. H., 2012, ApJ, 761, 44 CrossRefGoogle Scholar
Sutter, P. M., Lavaux, G., Wandelt, B. D., Weinberg, D. H., & Warren, M. S., 2014, Mon. Not. R. Astron. Soc., 438, 3177 CrossRefGoogle Scholar
Sutter, P. M., Lavaux, G., Wandelt, B. D., Weinberg, D. H., Warren, M. S., & Pisani, A., 2014, Mon. Not. R. Astron. Soc., 442, 3127 CrossRefGoogle Scholar
Sutter, P. M., Pisani, A., & Wandelt, B. D., 2014, ArXiv e-prints: 1404.5618Google Scholar
Tejos, N., Morris, S. L., Crighton, N. H. M., Theuns, T., Altay, G., & Finn, C. W., 2012, Mon. Not. R. Astron. Soc., 425, 245 CrossRefGoogle Scholar
Teyssier, R., 2002, Astron. & Astrophys., 385, 337 CrossRefGoogle Scholar
Warren, M. S., 2013, in Proceedings of SC13: International Conference for High Performance Computing, Networking, Storage and Analysis 2HOT: An Improved Parallel Hashed Oct-Tree N-Body Algorithm for Cosmological Simulation. p. 72CrossRefGoogle Scholar