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29 results on '"Marinoni C."'

1. Redshift drift in radially inhomogeneous Lema\^itre-Tolman-Bondi spacetimes

Author

Codur, R. and Marinoni, C.

Subjects
General Relativity and Quantum Cosmology
Abstract

We provide a formula for estimating the redshift and its secular change (redshift drift) in Lema\^itre-Tolman-Bondi (LTB) spherically symmetric universes. We compute the scaling of the redshift drift for LTB models that predict Hubble diagrams indistinguishable from those of the standard cosmological model, the flat $\Lambda$ Cold Dark Matter ($\Lambda$CDM) model. We show that the redshift drift for these degenerate LTB models is typically different from that predicted in the $\Lambda$CDM scenario. We also highlight and discuss some unconventional redshift-drift signals that arise in LTB universes and give them distinctive features compared to the standard model. We argue that the redshift drift is a metric observable that allows to reduce the degrees of freedom of spherically symmetric models and to make them more predictive and thus falsifiable., Comment: 14 pages, 6 figures (Manuscript identical to the version accepted and published by PRD)

Published
2021

2. The VIMOS Public Extragalactic Redshift Survey (VIPERS). Full spectroscopic data and auxiliary information release (PDR-2)

Author

Scodeggio, M., Guzzo, L., Garilli, B., Granett, B. R., Bolzonella, M., de la Torre, S., Abbas, U., Adami, C., Arnouts, S., Bottini, D., Cappi, A., Coupon, J., Cucciati, O., Davidzon, I., Franzetti, P., Fritz, A., Iovino, A., Krywult, J., Brun, V. Le, Févre, O. Le, Maccagni, D., Malek, K., Marchetti, A., Marulli, F., Polletta, M., Pollo, A., Tasca, L. A. M., Tojeiro, R., Vergani, D., Zanichelli, A., Bel, J., Branchini, E., De Lucia, G., Ilbert, O., McCracken, H. J., Moutard, T., Peacock, J. A., Zamorani, G., Burden, A., Fumana, M., Jullo, E., Marinoni, C., Mellier, Y., Moscardini, L., and Percival, W. J.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

We present the full public data release (PDR-2) of the VIMOS Public Extragalactic Redshift Survey (VIPERS), performed at the ESO VLT. We release redshifts, spectra, CFHTLS magnitudes and ancillary information (as masks and weights) for a complete sample of 86,775 galaxies (plus 4,732 other objects, including stars and serendipitous galaxies); we also include their full photometrically-selected parent catalogue. The sample is magnitude limited to i_AB < 22.5, with an additional colour-colour pre-selection devised as to exclude galaxies at z<0.5. This practically doubles the effective sampling of the VIMOS spectrograph over the range 0.5= 2 are shown to have a confidence level of 96% or larger and make up 88% of all measured galaxy redshifts (76,552 out of 86,775), constituting the VIPERS prime catalogue for statistical investigations. For this sample the rms redshift error, estimated using repeated measurements of about 3,000 galaxies, is found to be sigma_z = 0.00054(1+z). All data are available at http://vipers.inaf.it and on the ESO Archive., Comment: Submitted to Astronomy and Astrophysics; 14 pages, 14 figures. High resolution version of Fig. 14 available at http://vipers.inaf.it

Published
2016
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3. A high-dimensional look at VIPERS galaxies

Author

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

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We investigate how galaxies in VIPERS (the VIMOS Public Extragalactic Redshift Survey) inhabit the cosmological density field by examining the correlations across the observable parameter space of galaxy properties and clustering strength. The high-dimensional analysis is made manageable by the use of group-finding and regression tools. We find that the major trends in galaxy properties can be explained by a single parameter related to stellar mass. After subtracting this trend, residual correlations remain between galaxy properties and the local environment pointing to complex formation dependencies. As a specific application of this work we build subsamples of galaxies with specific clustering properties for use in cosmological tests., Comment: 3 pages. To appear in Statistical Challenges in 21st Century Cosmology, Proceedings IAU Symposium No. 306, A. H. Heavens & J.-L. Starck, eds

Published
2015
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4. The VIMOS Public Extragalactic Redshift Survey (VIPERS): Reconstruction of the redshift-space galaxy density field

Author

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

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Aims. Using the VIMOS Public Extragalactic Redshift Survey (VIPERS) we aim to jointly estimate the key parameters that describe the galaxy density field and its spatial correlations in redshift space. Methods. We use the Bayesian formalism to jointly reconstruct the redshift-space galaxy density field, power spectrum, galaxy bias and galaxy luminosity function given the observations and survey selection function. The high-dimensional posterior distribution is explored using the Wiener filter within a Gibbs sampler. We validate the analysis using simulated catalogues and apply it to VIPERS data taking into consideration the inhomogeneous selection function. Results. We present joint constraints on the anisotropic power spectrum as well as the bias and number density of red and blue galaxy classes in luminosity and redshift bins as well as the measurement covariances of these quantities. We find that the inferred galaxy bias and number density parameters are strongly correlated although these are only weakly correlated with the galaxy power spectrum. The power spectrum and redshift-space distortion parameters are in agreement with previous VIPERS results with the value of the growth rate $f\sigma_8 = 0.38$ with 18% uncertainty at redshift 0.7., Comment: Submitted to Astronomy & Astrophysics

Published
2015
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5. The VIMOS Public Extragalactic Redshift Survey (VIPERS). Hierarchical scaling and biasing

Author

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

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We investigate the higher-order correlation properties of the VIMOS Public Extragalactic Redshift Survey (VIPERS) to test the hierarchical scaling hypothesis at z~1 and the dependence on galaxy luminosity, stellar mass, and redshift. We also aim to assess deviations from the linearity of galaxy bias independently from a previously performed analysis of our survey (Di Porto et al. 2014). We have measured the count probability distribution function in cells of radii 3 < R < 10 Mpc/h, deriving $\sigma_{8g}$, the volume-averaged two-,three-,and four-point correlation functions and the normalized skewness $S_{3g}$ and kurtosis $S_{4g}$ for volume-limited subsamples covering the ranges $-19.5 \le M_B(z=1.1)-5log(h) \le -21.0$, $9.0 < log(M*/M_{\odot} h^{-2}) \le 11.0$, $0.5 \le z < 1.1$. We have thus performed the first measurement of high-order correlations at z~1 in a spectroscopic redshift survey. Our main results are the following. 1) The hierarchical scaling holds throughout the whole range of scale and z. 2) We do not find a significant dependence of $S_{3g}$ on luminosity (below z=0.9 $S_{3g}$ decreases with luminosity but only at 1{\sigma}-level). 3) We do not detect a significant dependence of $S_{3g}$ and $S_{4g}$ on scale, except beyond z~0.9, where the dependence can be explained as a consequence of sample variance. 4) We do not detect an evolution of $S_{3g}$ and $S_{4g}$ with z. 5) The linear bias factor $b=\sigma_{8g}/\sigma_{8m}$ increases with z, in agreement with previous results. 6) We quantify deviations from the linear bias by means of the Taylor expansion parameter $b_2$. Our results are compatible with a null non-linear bias term, but taking into account other available data we argue that there is evidence for a small non-linear bias term., Comment: 20 pages, 14 figures, accepted for publication in Astronomy and Astrophysics

Published
2015
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6. The VIMOS Public Extragalactic Redshift Survey (VIPERS): On the correct recovery of the count-in-cell probability distribution function

Author

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., Fritz, A., Franzetti, P., Fumana, M., Garilli, B., Ilbert, O., Krywult, J., Brun, V. Le, Fèvre, O. Le, Maccagni, D., Małek, K., Marulli, F., McCracken, H. J., Paioro, L., Polletta, M., Pollo, A., Schlagenhaufer, H., Scodeggio, M., Tasca, L. A. M., Tojeiro, R., Vergani, D., Zanichelli, A., Burden, A., Marchetti, A., Mellier, Y., Nichol, R. C., Peacock, J. A., Percival, W. J., Phleps, S., and Wolk, M.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
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 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 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. 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 very weak evolution of the probability density distribution function and that it is well approximated, independently from the chosen tracers, by a Gamma distribution., Comment: 14 pages, 11 figures, 2 tables

Published
2015
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7. Selenoprotein P levels discriminate the degree of hepatic steatosis and are related to the NAS score in patients with non-alcoholic fatty liver disease

Author

Rosso, C., primary, Younes, R., additional, Morello, E., additional, Gaggini, M., additional, Caviglia, G.P., additional, Marinoni, C., additional, Blanco, M.J. Garcia, additional, Olivero, A., additional, Saracco, G.M., additional, Gastaldelli, A., additional, Smedile, A., additional, and Bugianesi, E., additional

Published
2019
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9. The VIMOS Public Extragalactic Redshift Survey

Author

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

Subjects
methods: statistical, large-scale structure of Universe, cosmology: observations, galaxies: statistics, cosmological parameters, methods: data analysis, observations, galaxies: statistics, cosmological parameters, methods: statistical, methods: data analysis [large-scale structure of Universe, cosmology], Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics::Galaxy Astrophysics
Abstract

Aims: Using the VIMOS Public Extragalactic Redshift Survey (VIPERS) we aim to jointly estimate the keyparameters that describe the galaxy density field and its spatial correlations in redshift space. Methods: We use the Bayesian formalism to jointly reconstruct the redshift-space galaxy density field, power spectrum, galaxy bias and galaxy luminosity function given the observations and survey selection function. The high-dimensional posterior distribution is explored using the Wiener filter within a Gibbs sampler. We validate the analysis using simulated catalogues and apply it to VIPERS data taking into consideration the inhomogeneous selection function. Results: We present joint constraints on the anisotropic power spectrum, and the bias and number density of red and blue galaxy classes in luminosity and redshift bins as well as the measurement covariances of these quantities. We find that the inferred galaxy bias and number density parameters are strongly correlated although they are only weakly correlated with the galaxy power spectrum. The power spectrum and redshift-space distortion parameters are in agreement with previous VIPERS results with the value of the growth rate fσ8 = 0.38 with 18% uncertainty at redshift 0.7.

Published
2015

10. The VIMOS Public Extragalactic Redshift Survey (VIPERS)

Author

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

Published
2018
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11. Measuring Large-Scale Structure atz∼ 1 with the VIPERS galaxy survey

Author

GUZZO, Luigi, Abbas, U., Adami, Christophe, Arnouts, Stephane, Bel, Julien, Bolzonella, M., Bottini, D., Branchini, Enzo Franco, Burden, Angela, Cappi, A., Coupon, Jean, Cucciati, O., Davidzon, Iary, de la Torre, Silvain, De Lucia, G., Di Porto, Cinzia, Franzetti, P., Fritz, Alexander, Fumana, M., GARILLI, BIANCA MARIA ROSA, Granett, B. R., Guennou, L., Hawken, A., Ilbert, O., Iovino, A., Krywult, J., Le Brun, V., Le Fevre, O., Maccagni, D., Malek, K., Marchetti, A., Marinoni, C., Marulli, F., McCracken, H. J., Mellier, Y., Moscardini, L., Nichol, R. C., Paioro, L., Peacock, J. A., Percival, W. J., Phleps, S., POLLETTA, MARIA DEL CARMEN, Pollo, A., Rota, S., Schlagenhaufer, H., SCODEGGIO, MARCO, Solarz, A., Tasca, L. A. M., Tojeiro, R., VERGANI, DANIELA, Wolk, M., Zamorani, G., and ZANICHELLI, Alessandra

Subjects
Physics, Space and Planetary Science, Scale structure, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, Astrophysics::Galaxy Astrophysics, Galaxy
Abstract

The VIMOS Public Extragalactic Redshift Survey (VIPERS) is the largest redshift survey ever conducted with the ESO telescopes. It has used the Very Large Telescope to collect nearly 100,000 redshifts from the general galaxy population at 0.5

Published
2016

12. The zCOSMOS-Bright survey: the clustering of early and late galaxy morphological types since z≃ 1

Author

de la Torre, S., Le Fèvre, O., Porciani, C., Guzzo, L., Meneux, B., Abbas, U., Tasca, L., Carollo, C. M., Contini, T., Kneib, J.-P, Lilly, S. J., Mainieri, V., Renzini, A., Scodeggio, M., Zamorani, G., Bardelli, S., Bolzonella, M., Bongiorno, A., Caputi, K., Coppa, G., Cucciati, O., de Ravel, L., Franzetti, P., Garilli, B., Halliday, C., Iovino, A., Kampczyk, P., Knobel, C., Koekemoer, A. M., Kovač, K., Lamareille, F., Le Borgne, J.-F, Le Brun, V., Maier, C., Mignoli, M., Pelló, R., Peng, Y., Perez-Montero, E., Ricciardelli, E., Silverman, J., Tanaka, M., Tresse, L., Vergani, D., Zucca, E., Bottini, D., Cappi, A., Cassata, P., Cimatti, A., Leauthaud, A., Maccagni, D., Marinoni, C., McCracken, H. J., Memeo, P., Oesch, P., Pozzetti, L., Scaramella, R., de la Torre, S., Le Fèvre, O., Porciani, C., Guzzo, L., Meneux, B., Abbas, U., Tasca, L., Carollo, C. M., Contini, T., Kneib, J.-P, Lilly, S. J., Mainieri, V., Renzini, A., Scodeggio, M., Zamorani, G., Bardelli, S., Bolzonella, M., Bongiorno, A., Caputi, K., Coppa, G., Cucciati, O., de Ravel, L., Franzetti, P., Garilli, B., Halliday, C., Iovino, A., Kampczyk, P., Knobel, C., Koekemoer, A. M., Kovač, K., Lamareille, F., Le Borgne, J.-F, Le Brun, V., Maier, C., Mignoli, M., Pelló, R., Peng, Y., Perez-Montero, E., Ricciardelli, E., Silverman, J., Tanaka, M., Tresse, L., Vergani, D., Zucca, E., Bottini, D., Cappi, A., Cassata, P., Cimatti, A., Leauthaud, A., Maccagni, D., Marinoni, C., McCracken, H. J., Memeo, P., Oesch, P., Pozzetti, L., and Scaramella, R.

Abstract

We measure the spatial clustering of galaxies as a function of their morphological type at z≃ 0.8, for the first time in a deep redshift survey with full morphological information. This is obtained by combining high-resolution Hubble Space Telescope imaging and Very Large Telescope spectroscopy for about 8500 galaxies to with accurate spectroscopic redshifts from the zCOSMOS-Bright redshift survey. At this epoch, early-type galaxies already show a significantly stronger clustering than late-type galaxies on all probed scales. A comparison to the Sloan Digital Sky Survey Data at z≃ 0.1 shows that the relative clustering strength between early and late morphological classes tends to increase with cosmic time at small separations, while on large scales it shows no significant evolution since z≃ 0.8. This suggests that most early-type galaxies had already formed in intermediate and dense environments at this epoch. Our results are consistent with a picture in which the relative clustering of different morphological types between z≃ 1 and 0 reflects the evolving role of environment in the morphological transformation of galaxies, on top of a global evolution driven by mass

Published
2017

13. The VIMOS Public Extragalactic Redshift Survey (VIPERS)

Author

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

Published
2016
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14. The VIMOS Public Extragalactic Redshift Survey (VIPERS)

Author

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

Published
2016
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15. The VIMOS Public Extragalactic Redshift Survey

Author

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

Published
2015
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16. VIPERS view of the star formation history of early-type galaxies

Author

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

Published
2015
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17. The VIMOS Public Extragalactic Redshift Survey (VIPERS)

Author

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

Published
2015
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18. The VIMOS Public Extragalactic Redshift Survey (VIPERS) Measuring non-linear galaxy bias at z ∼ 0.8.

Author

Porto, C. Di, Branchini, E., Bel, J., Marulli, F., Bolzonella, M., Cucciati, O., la Torre, S. de, Granett, B. R., Guzzo, L., Marinoni, C., Moscardini, L., Abbas, U., Adami, C., Arnouts, S., Bottini, D., Cappi, A., Coupon, J., Davidzon, I., Lucia, G. De, and Fritz, A.

Abstract

Aims. We use the first release of the VImos Public Extragalactic Redshift Survey of galaxies (VIPERS) of ∼50 000 objects to measure the biasing relation between galaxies and mass in the redshift range z = [0.5, 1.1]. Methods. We estimate the 1-point distribution function [PDF] of VIPERS galaxies from counts in cells and, assuming a model for the mass PDF, we infer their mean bias relation. The reconstruction of the bias relation is performed through a novel method that accounts for Poisson noise, redshift distortions, inhomogeneous sky coverage. and other selection effects. With this procedure we constrain galaxy bias and its deviations from linearity down to scales as small as 4 h-1 Mpc and out to z = 1.1. Results. We detect small (up to 2%) but statistically significant (up to 3σ) deviations from linear bias. The mean biasing function is close to linear in regions above the mean density. The mean slope of the biasing relation is a proxy to the linear bias parameter. This slope increases with luminosity, which is in agreement with results of previous analyses. We detect a strong bias evolution only for z > 0.9, which is in agreement with some, but not all, previous studies. We also detect a significant increase of the bias with the scale, from 4 to 8 h-1 Mpc, now seen for the first time out to z = 1. The amplitude of non-linearity depends on redshift, luminosity, and scale, but no clear trend is detected. Owing to the large cosmic volume probed by VIPERS, we find that the mismatch between the previous estimates of bias at z ∼ 1 from zCOSMOS and VVDS-Deep galaxy samples is fully accounted for by cosmic variance. Conclusions. The results of our work confirm the importance of going beyond the over-simplistic linear bias hypothesis showing that nonlinearities can be accurately measured through the applications of the appropriate statistical tools to existing datasets like VIPERS. [ABSTRACT FROM AUTHOR]

Published
2016
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19. VIPERS view of the star formation history of early-type galaxies

Author

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

Published
2015
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20. The VIMOS Public Extragalactic Redshift Survey (VIPERS). Full spectroscopic data and auxiliary information release (PDR-2)

Author

G. De Lucia, M. Polletta, D. Maccagni, A. Marchetti, D. Vergani, V. Le Brun, Eric Jullo, O. Ilbert, Julien Bel, Iary Davidzon, Will J. Percival, Katarzyna Małek, Ummi Abbas, B. R. Granett, Rita Tojeiro, C. Adami, A. Iovino, J. Krywult, O. Cucciati, O. Le Fèvre, M. Scodeggio, S. de la Torre, G. Zamorani, Lauro Moscardini, A. Zanichelli, L. A. M. Tasca, H. J. McCracken, M. Bolzonella, John A. Peacock, D. Bottini, Jean Coupon, B. Garilli, Enzo Branchini, Yannick Mellier, A. Cappi, Angela Burden, Agnieszka Pollo, Luigi Guzzo, P. Franzetti, T. Moutard, Alexander Fritz, Federico Marulli, M. Fumana, Christian Marinoni, S. Arnouts, Laboratoire d'Astrophysique de Marseille ( LAM ), Centre National de la Recherche Scientifique ( CNRS ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Aix Marseille Université ( AMU ) -Centre National d'Etudes Spatiales ( CNES ), Joseph Louis LAGRANGE ( LAGRANGE ), Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Observatoire de la Côte d'Azur, Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en astrophysique et planétologie ( IRAP ), Université Paul Sabatier - Toulouse 3 ( UPS ) -Observatoire Midi-Pyrénées ( OMP ) -Centre National de la Recherche Scientifique ( CNRS ), Aix Marseille Université ( AMU ), Centre de Physique Théorique - UMR 7332 ( CPT ), Aix Marseille Université ( AMU ) -Université de Toulon ( UTLN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut d'Astrophysique de Paris ( IAP ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ), Institut Universitaire de France ( IUF ), Ministère de l'Éducation nationale, de l’Enseignement supérieur et de la Recherche ( M.E.N.E.S.R. ), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Joseph Louis LAGRANGE (LAGRANGE), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en astrophysique et planétologie (IRAP), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU), Centre de Physique Théorique - UMR 7332 (CPT), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), University of St Andrews. School of Physics and Astronomy, ITA, GBR, FRA, AUT, POL, Scodeggio, M., Guzzo, L., Garilli, B., Granett, B.R., Bolzonella, M., De La Torre, S., Abbas, U., Adami, C., Arnouts, S., Bottini, D., Cappi, A., Coupon, J., Cucciati, O., Davidzon, I., Franzetti, P., Fritz, A., Iovino, A., Krywult, J., Le Brun, V., Le Fèvre, O., Maccagni, D., Małek, K., Marchetti, A., Marulli, F., Polletta, M., Pollo, A., Tasca, L.A.M., Tojeiro, R., Vergani, D., Zanichelli, A., Bel, J., Branchini, E., De Lucia, G., Ilbert, O., Mccracken, H.J., Moutard, T., Peacock, J.A., Zamorani, G., Burden, A., Fumana, M., Jullo, E., Marinoni, C., Mellier, Y., Moscardini, L., and Percival, W.J.

Subjects
Large-scale structure of Universe, [ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph], FOS: Physical sciences, Astrophysics, Surveys, Cosmology: observation, 01 natural sciences, statistics [Galaxies], surveys, 0103 physical sciences, distances and redshifts [Galaxies], Galaxies: distances and redshift, QB Astronomy, Survey, observations [Cosmology], 010303 astronomy & astrophysics, QC, STFC, galaxies: statistics, QB, Physics, Galaxies: statistic, 010308 nuclear & particles physics, RCUK, Sigma, DAS, Astronomy and Astrophysics, Astronomy and Astrophysic, Redshift survey, Astrophysics - Astrophysics of Galaxies, Galaxy, Redshift, 3. Good health, Stars, QC Physics, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), cosmology: observations, Magnitude (astronomy), large-scale structure of Universe, galaxies: distances and redshifts, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Data release
Abstract

We present the full public data release (PDR-2) of the VIMOS Public Extragalactic Redshift Survey (VIPERS), performed at the ESO VLT. We release redshifts, spectra, CFHTLS magnitudes and ancillary information (as masks and weights) for a complete sample of 86,775 galaxies (plus 4,732 other objects, including stars and serendipitous galaxies); we also include their full photometrically-selected parent catalogue. The sample is magnitude limited to i_AB < 22.5, with an additional colour-colour pre-selection devised as to exclude galaxies at z= 2 are shown to have a confidence level of 96% or larger and make up 88% of all measured galaxy redshifts (76,552 out of 86,775), constituting the VIPERS prime catalogue for statistical investigations. For this sample the rms redshift error, estimated using repeated measurements of about 3,000 galaxies, is found to be sigma_z = 0.00054(1+z). All data are available at http://vipers.inaf.it and on the ESO Archive., Comment: Submitted to Astronomy and Astrophysics; 14 pages, 14 figures. High resolution version of Fig. 14 available at http://vipers.inaf.it

Published
2018
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21. The VIMOS Public Extragalactic Redshift Survey (VIPERS). Measuring non-linear galaxy bias at z ~ 0.8

Author

B. R. Granett, A. Zanichelli, Stéphane Arnouts, C. Adami, C. Di Porto, John A. Peacock, L. A. M. Tasca, I. Davidzon, A. Pollo, Davide Martizzi, Rita Tojeiro, M. Bolzonella, D. Bottini, V. Le Brun, O. Ilbert, O. Le Fevre, Ummi Abbas, J. Krywult, O. Cucciati, S. de la Torre, Marco Scodeggio, M. Viel, J. Bel, M. Polletta, Katarzyna Małek, H. J. McCracken, P. Franzetti, G. De Lucia, D. Maccagni, Will J. Percival, Christian Marinoni, Alexander Fritz, Federico Marulli, M. Fumana, Lauro Moscardini, Robert C. Nichol, A. Iovino, Jean Coupon, Yannick Mellier, L. Paioro, M. Wolk, A. Marchetti, Enzo Branchini, A. Cappi, Luigi Guzzo, Angela Burden, Daniela Vergani, B. Garilli, G. Zamorani, CPT - E3 Cosmologie, Centre de Physique Théorique - UMR 7332 (CPT), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), INAF - Osservatorio Astronomico di Bologna (OABO), Istituto Nazionale di Astrofisica (INAF), AUTRES, Canada-France-Hawaii Telescope Corporation (CFHT), National Research Council of Canada (NRC)-Centre National de la Recherche Scientifique (CNRS)-University of Hawai'i [Honolulu] (UH), Joseph Louis LAGRANGE (LAGRANGE), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Département de Radiologie [CHU de Rennes], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Laboratoire d'Astrophysique de Marseille (LAM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Grenoble Institut des Neurosciences (GIN), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Cellular Biotechnologies and Haematology, Institut Pasteur, Fondation Cenci Bolognetti - Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], University of Leeds, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Di Porto, C., Branchini, ENZO FRANCO, Bel, J., Marulli, F., Bolzonella, M., Cucciati, O., De La Torre, S., Granett, B. R., Guzzo, L., Marinoni, C., Moscardini, L., Abbas, U., Adami, C., Arnouts, S., Bottini, D., Cappi, A., Coupon, J., Davidzon, I., De Lucia, G., Fritz, A., Franzetti, P., Fumana, M., Garilli, B., Ilbert, O., Iovino, A., Krywult, J., Le Brun, V., Le Fèvre, O., Maccagni, D., Małek, K., Mccracken, H. J., Paioro, L., Polletta, M., Pollo, A., Scodeggio, M., Tasca, L. A. M., Tojeiro, R., Vergani, D., Zanichelli, A., Burden, A., Marchetti, A., Martizzi, D., Mellier, Y., Nichol, R. C., Peacock, J. A., Percival, W. J., Viel, M., Wolk, M., Zamorani, G., Branchini, E., Granett, B.R., Mccracken, H.J., Tasca, L.A.M., Nichol, R.C., Peacock, J.A., and Percival, W.J.

Subjects
Cosmological parameter, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, astro-ph.GA, Dark matter, Cosmological parameters, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, dark matter, [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], Settore FIS/05 - Astronomia e Astrofisica, 0103 physical sciences, cosmological parameters, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, STFC, Physics, COSMIC cancer database, 010308 nuclear & particles physics, ST/I001204/1, RCUK, Biasing, Astronomy and Astrophysics, Cosmic variance, Astronomy and Astrophysic, Redshift survey, Astrophysics - Astrophysics of Galaxies, Space and Planetary Science, Galaxy, Redshift, Amplitude, Astrophysics of Galaxies (astro-ph.GA), astro-ph.CO, large-scale structure of Universe, Astrophysics - Instrumentation and Methods for Astrophysics, astro-ph.IM, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We use the first release of the VImos Public Extragalactic Redshift Survey of galaxies (VIPERS) of ~50,000 objects to measure the biasing relation between galaxies and mass in the redshift range z=[0.5,1.1]. We estimate the 1-point distribution function [PDF] of VIPERS galaxies from counts in cells and, assuming a model for the mass PDF, we infer their mean bias relation. The reconstruction of the bias relation from PDFs is performed through a novel method that accounts for Poisson noise, redshift distortions, inhomogeneous sky coverage and other selection effects. With this procedure we constrain galaxy bias and its deviations from linearity down to scales as small as 4 Mpc/h and out to z=1.1. We detect small (~3%) but significant deviations from linear bias. The mean biasing function is close to linear in regions above the mean density. The mean slope of the biasing relation is a proxy to the linear bias parameter. It increases both with luminosity, in agreement with results of previous analyses, and with redshift. However, we detect a strong bias evolution only for z>0.9 in agreement with some, but not all, previous studies. We also detected a significant increase of the bias with the scale, from 4 to 8 Mpc/h, now seen for the first time out to z=1. The amplitude of nonlinearity depends on redshift, luminosity and on scales but no clear trend is detected. Thanks to the large cosmic volume probed by VIPERS we find that the mismatch between the previous estimates of bias at z~1 from zCOSMOS and VVDS-Deep galaxy samples is fully accounted for by cosmic variance. The results of our work confirm the importance of going beyond the over-simplistic linear bias hypothesis showing that non-linearities can be accurately measured through the applications of the appropriate statistical tools to existing datasets like VIPERS., 20 pages, 15 figures

Published
2016
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22. VIPERS : Galaxy morphology at z $\sim 1$

Author

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

Subjects
Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics::Galaxy Astrophysics
Abstract

We use spectroscopic VIPERS data to analyze morphological properties of galaxies at z $\sim 1$. To determine galaxy morphologies, we estimate their Sersic index. Then, we correlate it with galaxy rest-frame colors, and other physical properties. We find that the distribution of Sérsic index of our sample is bimodal, and well correlated with the color-bimodality of the galaxy distribution. So-called green valley (i.e. intermediate colour) galaxies often have intermediate values of Sérsic index which may support the hypothesis that at least a part of this population are galaxies in the transition phase.

Published
2015

23. VIPERS : in search for the solution of the riddle of dark energy (and many others)

Author

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

Abstract

We present the "VIMOS Public Extragalactic Redshift Survey" (VIPERS). We discuss the present status of the survey, the data which are already open to the public, and review first scientific results of the project.

Published
2015

24. The Influence of Gifted Children's Stress Management on Parental Stress Levels.

Author

Zanetti MA, Sangiuliano Intra F, Taverna L, Brighi A, and Marinoni C

Abstract

This study explores the associations between gifted children's stress management and parental stress level. A sample of 78 primary school children and their 76 parents took part in this study. Children were screened for intelligence and emotional quotients, while parents were tested for stress levels. Results show that the more children are aware of their stress-management skills, the less parents are stressed out. Moreover, the intelligence quotient is not significant in mediating this association, supporting the idea that it is not an a priori protective factor from a developmental perspective. The study findings suggest that when a child is equipped with the skills to handle stress by harnessing their emotional intelligence, it can have a beneficial effect on the entire family's well-being. Given that these skills can be developed, and the significant positive influence they have on a child's growth and adaptation, it is essential to offer specialized educational programs to gifted children. These programs should aim to enhance their emotional skills, which, in turn, can indirectly bolster the psychological health of the family unit as a whole.

Published
2024
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25. Family Functioning and Internalizing and Externalizing Problems in Gifted Children.

Author

Zanetti MA, Trombetta T, Rollè L, and Marinoni C

Abstract

Introduction: Although gifted children can express high cognitive skills, they can also show socioemotional difficulties. Drawing from Olson's circumplex model, the present paper assessed the role of family functioning in internalizing and externalizing problems in gifted children., Materials and Methods: 362 mothers and their 362 gifted children were included. The unbalanced subscales of the FACES IV-disengagement, enmeshment, rigidity, and chaos-and the CBCL were administered to mothers. The children completed the WISC-IV., Results: The model predicting internalizing problems was significant and explained 5.6% of the variance. Only rigidity had an independent and positive effect on internalizing problems in gifted children over and above sociodemographic variables and QI, whereas disengagement, enmeshment, and chaos were not associated with internalizing problems. The model predicting externalizing problems was significant and explained 10% of the variance. Again, rigidity was the only variable that had an independent and positive effect on externalizing problems in gifted children over and above sociodemographic variables and QI, whereas disengagement, enmeshment, and chaos were not associated with externalizing problems in this population., Discussion: Rigid families with a low ability to change in conditions that require readjustment appear to increase the risk of both internalizing and externalizing problems in gifted children. Although further studies are needed to support these preliminary findings, parental support interventions aimed at increasing flexibility appear to be useful.

Published
2024
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26. [ChatGPT in clinical practice: prospects and challenges].

Author

Roustan D, Galland-Decker C, Marinoni C, and Bastardot F

Subjects
Humans, Seasons, Artificial Intelligence, Medicine
Abstract

Virtually unknown to the greater public before November 2022, ChatGPT was made available in open access in Autumn 2022, driving the perspective of artificial intelligence integration to the forefront of daily life. The field of medicine hasn't been left aside, and sparks as much interest as it does questions. Although this tool has considerable potential for use in clinical practice, it, like others, has limitations that need to be clearly understood to avoid misuse. In addition, the legal framework and issues of data confidentiality are currently poorly defined, and clinicians will need to keep a close eye on legislative developments in this area., Competing Interests: Les auteurs n’ont déclaré aucun conflit d’intérêts en relation avec cet article.

Published
2024
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27. Chronic hepatitis B virus infection and fibrosis: novel non-invasive approaches for diagnosis and risk stratification.

Author

Stalla F, Armandi A, Marinoni C, Fagoonee S, Pellicano R, and Caviglia GP

Subjects
Humans, Liver Cirrhosis diagnosis, Liver Cirrhosis etiology, Risk Assessment, Carcinoma, Hepatocellular, Hepatitis B, Chronic complications, Liver Neoplasms diagnosis, Liver Neoplasms etiology
Abstract

Despite the availability of an effective vaccination, chronic hepatitis B virus (HBV) infection is still a major health concern worldwide. Chronic HBV infection can lead to fibrosis accumulation and overtime to cirrhosis, the principal risk factor for liver failure and hepatocellular carcinoma development. Liver biopsy is still considered the gold standard for fibrosis assessment, even though it is invasive and not exempt of complications. Overtime, several non-invasive methods for the detection of liver fibrosis have been developed and gradually introduced into clinical practice. However, their main limitation is the poor performance for the detection of intermediate stages of fibrosis. Finally, novel serological biomarkers, polygenic risk scores and imaging methods have been proposed in last years as novel promising tools to correctly identify the degree of liver fibrosis and to monitor liver disease progression. In this narrative review, we provide an overview on the novel non-invasive approaches for the evaluation of liver fibrosis and risk stratification of patients with chronic hepatitis B.

Published
2022
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28. Changes in Liver Stiffness and Markers of Liver Synthesis and Portal Hypertension following Hepatitis C Virus Eradication in Cirrhotic Individuals.

Author

Armandi A, Rosso C, Troshina G, Pérez Diaz Del Campo N, Marinoni C, Nicolosi A, Caviglia GP, Saracco GM, Bugianesi E, and Ciancio A

Abstract

The advent of direct antiviral agents (DAAs) has radically changed the natural history of hepatitis C virus (HCV) chronic liver disease. Even patients with cirrhosis may display improvements in liver function or features of portal hypertension following viral eradication. The aim of this study was to assess whether a HCV cure would lead to improvements in cirrhotic patients using simple, readily available tools in clinical practice, together with liver stiffness (LS) measurement. This is a retrospective study of cirrhotic patients with cured HCV infection, with or without previous decompensation. Clinical and biochemical parameters as well as LS measurements were collected before antiviral treatment with DAAs and after 6 months following sustained virological response. Hepatic synthesis was assessed by serum albumin levels. Portal hypertension was indirectly assessed by platelet count. Liver function was determined by the CHILD score. A total of 373 cirrhotic patients with successful HCV eradication were retrospectively included. After 6 months of follow-up, a significantly higher proportion of patients showed improved liver function, shifting from the CHILD B/C to CHILD A group, (71.4%, p < 0.001). Similarly, LS improved from a median of 19.3 kPa (14.7−27) at the baseline vs. a median of 11.6 (7.7−16.8 kPa) at follow-up (p < 0.001). The proportion of patients who showed improved hepatic synthesis was 66.0%, which was statistically different when compared to that of patients who had a worsened condition (0.3%) (p < 0.001). Moreover, when classifying the cohort according to the RESIST-HCV score, we found that a significant proportion of patients shifted into the “low risk” group following DAA treatment (52% baseline vs. 45.6% at follow-up, p = 0.004). Even in the decompensated patients, LS improved from 1.6 to 2-fold from the baseline. Antiviral treatment is effective in improving indirect signs of hepatic synthesis and portal hypertension. Similarly, the LS values displayed significant improvements, even in decompensated patients.

Published
2022
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29. Proposal for a Real-Time Detection of our Acceleration through Space.

Author

Bel J and Marinoni C

Abstract

Our proper acceleration with respect to the cosmic microwave background results in a real-time change of the angular position of distant extragalactic sources. The cosmological component of this aberration drift signal, the noninertial motion generated by the large-scale distribution of matter, can, in principle, be detected by future high-precision astrometric experiments. It will provide interesting consistency tests of the standard model of cosmology, set independent constraints on the amplitude of the Hubble constant and the linear growth rate of cosmic structures, and be instrumental in searching for evidence of new physics beyond the standard model. We present the formalism of this novel cosmological test, discuss the physics to which it is sensitive, and show simulated forecasts of the accuracy with which it can be implemented.

Published
2018
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