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

J. Bel; E. Branchini; C. Di Porto; O. Cucciati; B. R. Granett; A. Iovino; S. de la Torre; C. Marinoni; L. Guzzo; L. Moscardini; A. Cappi; U. Abbas; C. Adami; S. Arnouts; M. Bolzonella; D. Bottini; J. Coupon; I. Davidzon; G. De Lucia; A. Fritz; P. Franzetti; M. Fumana; B. Garilli; O. Ilbert; J. Krywult; V. Le Brun; O. Le Fèvre; D. Maccagni; K. Małek; F. Marulli; H. J. McCracken; L. Paioro; M. Polletta; A. Pollo; H. Schlagenhaufer; M. Scodeggio; L. A. M. Tasca; R. Tojeiro; D. Vergani; A. Zanichelli; A. Burden; A. Marchetti; Y. Mellier; R. C. Nichol; J. A. Peacock; W. J. Percival; S. Phleps; M. Wolk

doi:10.1051/0004-6361/201526455

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

J. Bel, E. Branchini, C. Di Porto, O. Cucciati, B. R. Granett, A. Iovino, S. de la Torre, C. Marinoni, L. Guzzo, L. Moscardini, A. Cappi, U. Abbas, C. Adami, S. Arnouts, M. Bolzonella, D. Bottini, J. Coupon, I. Davidzon, G. De Lucia, A. FritzP. Franzetti, M. Fumana, B. Garilli, O. Ilbert, J. Krywult, V. Le Brun, O. Le Fèvre, D. Maccagni, K. Małek, F. Marulli, H. J. McCracken, L. Paioro, M. Polletta, A. Pollo, H. Schlagenhaufer, M. Scodeggio, L. A. M. Tasca, R. Tojeiro, D. Vergani, A. Zanichelli, A. Burden, A. Marchetti, Y. Mellier, R. C. Nichol, J. A. Peacock, W. J. Percival, S. Phleps, M. Wolk

School of Physics and Astronomy

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Abstract

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 averagenumber 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 to verify if we were able to reconstruct the cell-count probability distribution once the observational strategy is applied. We find that, in the simulated catalogues, the probability distribution of galaxies is better represented by a Gamma expansion than a skewed log-normal distribution. Finally, we correct the cell-count probability distribution function from the angular selection effect of the VIMOS instrument and study the redshift and absolute magnitude dependency of the underlying galaxy density function in VIPERS from redshift 0.5 to 1.1. We found a very weak evolution of the probability density distribution function and that it is well approximated by a Gamma distribution, independently of the chosen tracers.Based on observations collected at the European Southern Observatory, Cerro Paranal, Chile, using the Very Large Telescope under programmes 182.A-0886 and partly 070.A-9007. Also based on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/DAPNIA, at the Canada-France-Hawaii Telescope (CFHT), which is operated by the National Research Council (NRC) of Canada, the Institut National des Sciences del'Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This work is based in part on data products produced at TERAPIX and the Canadian Astronomy Data Centre aspart of the Canada-France-Hawaii Telescope Legacy Survey, a collaborative project of NRC and CNRS. The VIPERS web site is http://www.vipers.inaf.it/

Original language	English
Article number	A51
Number of pages	15
Journal	Astronomy & Astrophysics
Volume	588
Early online date	17 Mar 2016
DOIs	https://doi.org/10.1051/0004-6361/201526455
Publication status	Published - Apr 2016

Keywords

Large-scale structure of Universe
Cosmology: observations
Galaxies: high-redshift

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10.1051/0004-6361/201526455

Bel_2016_VIPERS_aa26455-15
© 2016, ESO. This work has been made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at www.aanda.org / https://doi.org/10.1051/0004-6361/201526455.
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Bel, J., Branchini, E., Di Porto, C., Cucciati, O., Granett, B. R., Iovino, A., de la Torre, S., Marinoni, C., Guzzo, L., Moscardini, L., Cappi, A., Abbas, U., Adami, C., Arnouts, S., Bolzonella, M., Bottini, D., Coupon, J., Davidzon, I., De Lucia, G., ... Wolk, M. (2016). The VIMOS Public Extragalactic Redshift Survey (VIPERS). On the recovery of the count-in-cell probability distribution function. Astronomy & Astrophysics, 588, Article A51. https://doi.org/10.1051/0004-6361/201526455

@article{33f5d38405b04a6abfe7adef5c901366,

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

abstract = "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 averagenumber 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 to verify if we were able to reconstruct the cell-count probability distribution once the observational strategy is applied. We find that, in the simulated catalogues, the probability distribution of galaxies is better represented by a Gamma expansion than a skewed log-normal distribution. Finally, we correct the cell-count probability distribution function from the angular selection effect of the VIMOS instrument and study the redshift and absolute magnitude dependency of the underlying galaxy density function in VIPERS from redshift 0.5 to 1.1. We found a very weak evolution of the probability density distribution function and that it is well approximated by a Gamma distribution, independently of the chosen tracers.Based on observations collected at the European Southern Observatory, Cerro Paranal, Chile, using the Very Large Telescope under programmes 182.A-0886 and partly 070.A-9007. Also based on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/DAPNIA, at the Canada-France-Hawaii Telescope (CFHT), which is operated by the National Research Council (NRC) of Canada, the Institut National des Sciences del'Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This work is based in part on data products produced at TERAPIX and the Canadian Astronomy Data Centre aspart of the Canada-France-Hawaii Telescope Legacy Survey, a collaborative project of NRC and CNRS. The VIPERS web site is http://www.vipers.inaf.it/",

keywords = "Large-scale structure of Universe, Cosmology: observations, Galaxies: high-redshift",

author = "J. Bel and E. Branchini and {Di Porto}, C. and O. Cucciati and Granett, {B. R.} and A. Iovino and {de la Torre}, S. and C. Marinoni and L. Guzzo and L. Moscardini and A. Cappi and U. Abbas and C. Adami and S. Arnouts and M. Bolzonella and D. Bottini and J. Coupon and I. Davidzon and {De Lucia}, G. and A. Fritz and P. Franzetti and M. Fumana and B. Garilli and O. Ilbert and J. Krywult and {Le Brun}, V. and {Le F{\`e}vre}, O. and D. Maccagni and K. Ma{\l}ek and F. Marulli and McCracken, {H. J.} and L. Paioro and M. Polletta and A. Pollo and H. Schlagenhaufer and M. Scodeggio and Tasca, {L. A. M.} and R. Tojeiro and D. Vergani and A. Zanichelli and A. Burden and A. Marchetti and Y. Mellier and Nichol, {R. C.} and Peacock, {J. A.} and Percival, {W. J.} and S. Phleps and M. Wolk",

note = "W.J.P. and R.T. acknowledge financial support from the European Research Council under the European Community{\textquoteright}s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement no. 202686.",

year = "2016",

month = apr,

doi = "10.1051/0004-6361/201526455",

language = "English",

volume = "588",

journal = "Astronomy & Astrophysics",

issn = "0004-6361",

publisher = "EDP SCIENCES S A",

}

Bel, J, Branchini, E, Di Porto, C, Cucciati, O, Granett, BR, Iovino, A, de la Torre, S, Marinoni, C, Guzzo, L, Moscardini, L, Cappi, A, Abbas, U, Adami, C, Arnouts, S, Bolzonella, M, Bottini, D, Coupon, J, Davidzon, I, De Lucia, G, Fritz, A, Franzetti, P, Fumana, M, Garilli, B, Ilbert, O, Krywult, J, Le Brun, V, Le Fèvre, O, Maccagni, D, Małek, K, Marulli, F, McCracken, HJ, Paioro, L, Polletta, M, Pollo, A, Schlagenhaufer, H, Scodeggio, M, Tasca, LAM, Tojeiro, R, Vergani, D, Zanichelli, A, Burden, A, Marchetti, A, Mellier, Y, Nichol, RC, Peacock, JA, Percival, WJ, Phleps, S & Wolk, M 2016, 'The VIMOS Public Extragalactic Redshift Survey (VIPERS). On the recovery of the count-in-cell probability distribution function', Astronomy & Astrophysics, vol. 588, A51. https://doi.org/10.1051/0004-6361/201526455

TY - JOUR

T1 - The VIMOS Public Extragalactic Redshift Survey (VIPERS). On the recovery of the count-in-cell probability distribution function

AU - Bel, J.

AU - Branchini, E.

AU - Di Porto, C.

AU - Cucciati, O.

AU - Granett, B. R.

AU - Iovino, A.

AU - de la Torre, S.

AU - Marinoni, C.

AU - Guzzo, L.

AU - Moscardini, L.

AU - Cappi, A.

AU - Abbas, U.

AU - Adami, C.

AU - Arnouts, S.

AU - Bolzonella, M.

AU - Bottini, D.

AU - Coupon, J.

AU - Davidzon, I.

AU - De Lucia, G.

AU - Fritz, A.

AU - Franzetti, P.

AU - Fumana, M.

AU - Garilli, B.

AU - Ilbert, O.

AU - Krywult, J.

AU - Le Brun, V.

AU - Le Fèvre, O.

AU - Maccagni, D.

AU - Małek, K.

AU - Marulli, F.

AU - McCracken, H. J.

AU - Paioro, L.

AU - Polletta, M.

AU - Pollo, A.

AU - Schlagenhaufer, H.

AU - Scodeggio, M.

AU - Tasca, L. A. M.

AU - Tojeiro, R.

AU - Vergani, D.

AU - Zanichelli, A.

AU - Burden, A.

AU - Marchetti, A.

AU - Mellier, Y.

AU - Nichol, R. C.

AU - Peacock, J. A.

AU - Percival, W. J.

AU - Phleps, S.

AU - Wolk, M.

N1 - W.J.P. and R.T. acknowledge financial support from the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement no. 202686.

PY - 2016/4

Y1 - 2016/4

N2 - 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 averagenumber 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 to verify if we were able to reconstruct the cell-count probability distribution once the observational strategy is applied. We find that, in the simulated catalogues, the probability distribution of galaxies is better represented by a Gamma expansion than a skewed log-normal distribution. Finally, we correct the cell-count probability distribution function from the angular selection effect of the VIMOS instrument and study the redshift and absolute magnitude dependency of the underlying galaxy density function in VIPERS from redshift 0.5 to 1.1. We found a very weak evolution of the probability density distribution function and that it is well approximated by a Gamma distribution, independently of the chosen tracers.Based on observations collected at the European Southern Observatory, Cerro Paranal, Chile, using the Very Large Telescope under programmes 182.A-0886 and partly 070.A-9007. Also based on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/DAPNIA, at the Canada-France-Hawaii Telescope (CFHT), which is operated by the National Research Council (NRC) of Canada, the Institut National des Sciences del'Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This work is based in part on data products produced at TERAPIX and the Canadian Astronomy Data Centre aspart of the Canada-France-Hawaii Telescope Legacy Survey, a collaborative project of NRC and CNRS. The VIPERS web site is http://www.vipers.inaf.it/

AB - 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 averagenumber 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 to verify if we were able to reconstruct the cell-count probability distribution once the observational strategy is applied. We find that, in the simulated catalogues, the probability distribution of galaxies is better represented by a Gamma expansion than a skewed log-normal distribution. Finally, we correct the cell-count probability distribution function from the angular selection effect of the VIMOS instrument and study the redshift and absolute magnitude dependency of the underlying galaxy density function in VIPERS from redshift 0.5 to 1.1. We found a very weak evolution of the probability density distribution function and that it is well approximated by a Gamma distribution, independently of the chosen tracers.Based on observations collected at the European Southern Observatory, Cerro Paranal, Chile, using the Very Large Telescope under programmes 182.A-0886 and partly 070.A-9007. Also based on observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/DAPNIA, at the Canada-France-Hawaii Telescope (CFHT), which is operated by the National Research Council (NRC) of Canada, the Institut National des Sciences del'Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This work is based in part on data products produced at TERAPIX and the Canadian Astronomy Data Centre aspart of the Canada-France-Hawaii Telescope Legacy Survey, a collaborative project of NRC and CNRS. The VIPERS web site is http://www.vipers.inaf.it/

KW - Large-scale structure of Universe

KW - Cosmology: observations

KW - Galaxies: high-redshift

U2 - 10.1051/0004-6361/201526455

DO - 10.1051/0004-6361/201526455

M3 - Article

SN - 0004-6361

VL - 588

JO - Astronomy & Astrophysics

JF - Astronomy & Astrophysics

M1 - A51

ER -

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

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Keywords

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