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Measuring the growth rate of structure around cosmic voids

Published online by Cambridge University Press:  12 October 2016

A. J. Hawken ,
D. Michelett ,
B. Granett ,
A. Iovino  and
L. Guzzo
A. J. Hawken
Affiliation:
Osservatorio Astronomico di Brera, via E. Bianchi 46, 23807 Merate, Lc
D. Michelett
Affiliation:
Osservatorio Astronomico di Brera, via E. Bianchi 46, 23807 Merate, Lc
B. Granett
Affiliation:
Osservatorio Astronomico di Brera, via E. Bianchi 46, 23807 Merate, Lc
A. Iovino
Affiliation:
Osservatorio Astronomico di Brera, via E. Bianchi 46, 23807 Merate, Lc
L. Guzzo
Affiliation:
Osservatorio Astronomico di Brera, via E. Bianchi 46, 23807 Merate, Lc
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Abstract

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Using an algorithm based on searching for empty spheres we identified 245 voids in the VIMOS Public Extragalactic Redshift Survey (VIPERS). We show how by modelling the anisotropic void-galaxy cross correlation function we can probe the growth rate of structure.

Keywords

cosmology: large scale structure of the universeobservationscosmological parametersgravitation
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. 571 - 574
Copyright
Copyright © International Astronomical Union 2016 

References

Ade, P. A. R. & The Planck Collaboration, 2014, A&A, 571, A16 Google Scholar
Aragon-Calvo, M. A. & Szalay, A. S., 2013, MNRAS, 428, 4 Google Scholar
Davis, M. & Peebles, P. J. E. 1983, ApJ, 267, 465 Google Scholar
de la Torre, S., Guzzo, L., Peacock, J. A., et al. 2013, AAP, 557, A54 Google Scholar
Dubinski, J., da Costa, L. N., Goldwirth, D. S., Lecar, M., & Piran, T. 1993, ApJ, 410 Google Scholar
Finelli, F., Garcia-Bellido, J., Kovacs, A., Paci, F., & Szapudi, I., 2014, ArXiv e-prints:1405.1555Google Scholar
Guzzo, L., The Vipers Team 2013, The Messenger, 151, 41 Google Scholar
Hamaus, N., Sutter, P. M., & Wandelt, B. D. 2014, PRL, 112 Google Scholar
Hamilton, A. J. S. 1992, APJL, 385, L5 CrossRefGoogle Scholar
Kaiser, N. 1987, MNRAS, 227 Google Scholar
Micheletti, D., Iovino, A., Hawken, A. J., Granett, B., & The VIPERS team, 2014, A&A 570, A106 Google Scholar
Neyrinck, M. C. 2008, MNRAS, 386, 2101 CrossRefGoogle Scholar
Padilla, N. D., Ceccarelli, L., & Lambas, D. G. 2005, MNRAS, 363, 977 CrossRefGoogle Scholar
Paranjape, A., Lam, T. Y., & Sheth, R. K., 2012, MNRAS, 420, 1648 CrossRefGoogle Scholar
Patil, A., Huard, D., & Fonnesbeck, C. J., 2010, Journal of Statistical Software, 35, 4 Google Scholar
Paz, D., Lares, M., Ceccarelli, L., Padilla, N., & Lambas, D. G. 2013, MNRAS, 436 Google Scholar
Platen, E., van de Weygaert, R., & Jones, B. J. T. 2007, MNRAS, 380, 551 Google Scholar
Prada, F., Klypin, A. A., Cuesta, A. J., Betancort-Rijo, J. E., & Primack, J., 2012, MNRAS, 423 Google Scholar
Regos, E. & Geller, M. J. 1991, ApJ, 377, 14 Google Scholar
Sheth, R. K. & van de Weygaert, R. 2004, MNRAS, 350, 517 Google Scholar
Sutter, P. M., Lavaux, G., Hamaus, N., Pisani, A., Wandelt, B. D., Warren, M., Villaescusa-Navarro, F., Zivick, P., Mao, Q., & Thompson, B. B., 2015, Astronomy and Computing, 9 Google Scholar