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

  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},
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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