# The VIMOS Public Extragalactic Redshift Survey (VIPERS) - On the recovery of the count-in-cell probability distribution function

@article{Bel2016TheVP, title={The VIMOS Public Extragalactic Redshift Survey (VIPERS) - On the recovery of the count-in-cell probability distribution function}, author={Julien Bel and Enzo Franco Branchini and C. D. N. Porto and Olga Cucciati and Benjamin R Granett and Angela Iovino and Sylvain de la Torre and Christian Marinoni and Luigi Guzzo and Lauro Moscardini and Alberto Cappi and Ummi Abbas and Christophe Adami and S. Arnouts and Micol Bolzonella and Dario Bottini and Jean Coupon and Iary Davidzon and Gabriella de Lucia and Alexander Fritz and Paolo Franzetti and Marco Fumana and Bianca Garilli and Olivier Ilbert and Janusz Krywult and Vincent Le Brun and Olivier Le F{\`e}vre and Dario Maccagni and Katarzyna Małek and Federico Marulli and H. J. McCracken and Luigi Paioro and Maria del Carmen Polletta and A. Pollo and H. Schlagenhaufer and Marco Scodeggio and L. A. M. Tasca and Rita Tojeiro and D. Vergani and Alessandro Zanichelli and Angela Burden and Alessandro Marchetti and Yannick Mellier and Robert Nichol and John A Peacock and W. J. Percival and Stefanie Phleps and Melody Wolk}, journal={Astronomy and Astrophysics}, year={2016}, volume={588}, pages={1-15} }

We compare three methods to measure the count-in-cell probability density function of galaxies in a spectroscopic redshift survey. From this comparison we found that when the sampling is low (the average number of object per cell is around unity) it is necessary to use a parametric method to model the galaxy distribution. We used a set of mock catalogues of VIPERS, in order to verify if we were able to reconstruct the cell-count probability distribution once the observational strategy is…

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## References

SHOWING 1-10 OF 34 REFERENCES

The VIMOS Public Extragalactic Redshift Survey (VIPERS) - Hierarchical scaling and biasing

- Physics
- 2015

Aims. Building on the two-point correlation function analyses of the VIMOS Public Extragalactic Redshift Survey (VIPERS), we investigate the higher-order correlation properties of the same galaxy…

The VIMOS Public Extragalactic Redshift Survey (VIPERS) - Galaxy clustering and redshift-space distortions at z ≃ 0.8 in the first data release

- Physics
- 2013

We present in this paper the general real- and redshift-space clustering properties of galaxies as measured in the first data release of the VIPERS survey. VIPERS is a large redshift survey designed…

The VIMOS Public Extragalactic Redshift Survey (VIPERS): spectral classification through principal component analysis

- Physics
- 2013

We develop a Principal Component Analysis aimed at classifying a subset of 27 350 spectra of galaxies in the range 0.4 < z < 1.0 collected by the VIMOS Public Extragalactic Redshift Survey (VIPERS).…

Understanding the shape of the galaxy two-point correlation function at z ~= 1 in the COSMOS field

- Physics
- 2010

We investigate how the shape of the galaxy two-point correlation function as measured in the zCOSMOS survey depends on local environment, quantified in terms of the density contrast on scales of 5…

Moments of the Counts Distribution in the 1.2 Jansky IRAS Galaxy Redshift Survey

- Physics
- 1993

We have measured the count probability distribution function (CPDF) in a series of 10 volume-limited subsamples of a deep redshift survey of IRAS galaxies. The CPDF deviates significantly from both…

The VIMOS Public Extragalactic Redshift Survey (VIPERS) - an unprecedented view of galaxies and large-scale structure at 0.5 < z < 1.2

- Physics
- 2013

We describe the construction and general features of VIPERS, the VIMOS Public Extragalactic Redshift Survey. This `Large Programme' has been using the ESO VLT with the aim of building a spectroscopic…

The VIMOS Public Extragalactic Survey (VIPERS) - First Data Release of 57 204 spectroscopic measurements

- Physics
- 2013

We present the first Public Data Release (PDR-1) of the VIMOS Public Extragalactic Survey (VIPERS). It comprises 57 204 spectroscopic measurements together with all additional information necessary…

Higher Order Statistics from the Edinburgh/Durham Southern Galaxy Catalogue Survey. I. Counts in Cells

- Physics
- 1996

Counts in cells are used to analyze the higher order properties of the statistics of the Edinburgh/ Durham Southern Galaxy Catalogue Survey (EDSGC). The probability distribution is obtained from an…

The zCOSMOS 10k-Bright Spectroscopic Sample

- Physics
- 2009

We present spectroscopic redshifts of a large sample of galaxies with I_(AB) < 22.5 in the COSMOS field, measured from spectra of 10,644 objects that have been obtained in the first two years of…

On Recovering the Nonlinear Bias Function from Counts-in-Cells Measurements

- Physics
- 2004

We present a simple and accurate method to constrain galaxy bias based on the distribution of counts in cells. The unique feature of our technique is that it is applicable to nonlinear scales, where…