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16 results on '"Jean-Luc Starck"'

1. Starlet higher order statistics for galaxy clustering and weak lensing

Author

Virginia Ajani, Joachim Harnois-Déraps, Valeria Pettorino, Jean-Luc Starck, Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)

Subjects
statistical, cosmological parameters [large-scale structure of Universe, methods], methods: statistical, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Space and Planetary Science, FOS: Physical sciences, Astronomy and Astrophysics, large-scale structure of Universe, cosmological parameters, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We present a first application to photometric galaxy clustering and weak lensing of wavelet-based multi-scale (beyond two points) summary statistics: starlet peak counts and starletl1-norm. Peak counts are the local maxima in the map, andl1-norm is computed via the sum of the absolute values of the starlet (wavelet) decomposition coefficients of a map, providing a fast multi-scale calculation of the pixel distribution, encoding the information of all pixels in the map. We employ the cosmo-SLICS simulations sources and lens catalogues, and we compute wavelet-based non-Gaussian statistics in the context of combined probes and their potential when applied to the weak-lensing convergence maps and galaxy maps. We obtain forecasts on the matter density parameter Ωm, the reduced Hubble constant h, the matter fluctuation amplitude σ8, and the dark energy equation of state parameter w0. In our setting for this first application, we consider the two probes to be independent. We find that the starlet peaks and thel1-norm represent interesting summary statistics that can improve the constraints with respect to the power spectrum, even in the case of photometric galaxy clustering and when the two probes are combined., Astronomy & Astrophysics, 672, ISSN:0004-6361, ISSN:1432-0746

Published
2023

2. Euclid: Impact of non-linear and baryonic feedback prescriptions on cosmological parameter estimation from weak lensing cosmic shear

Author

Andrea Zacchei, E. Franceschi, Hannu Kurki-Suonio, Z. Sakr, M. Martinelli, N. Welikala, Thomas D. Kitching, V. F. Cardone, Natalia Auricchio, V. Capobianco, C. J. Conselice, Peter Schneider, S. Dusini, Rafael Toledo-Moreo, Marian Douspis, Elisabetta Maiorano, A. Balestra, Enzo Branchini, A. Secroun, Martin Kunz, Henk Hoekstra, M. Kilbinger, B. Gillis, Ismael Tereno, Sebastien Clesse, Fabio Pasian, Stefano Camera, Massimo Brescia, S. Paltani, Chiara Sirignano, Jean-Luc Starck, Mauro Roncarelli, Andy Taylor, Alkistis Pourtsidou, L. Popa, R. Cledassou, L. Conversi, M. Frailis, M. Poncet, J. Carretero, G. Meylan, A. Boucaud, Jason Rhodes, G. Polenta, Luca Valenziano, B. Morin, Ole Marggraf, S. Serrano, Sebastiano Ligori, F. Dubath, Lauro Moscardini, Yu Wang, Marco Castellano, Roberto P. Saglia, F. Grupp, Stefano Cavuoti, F. Sureau, Richard Massey, Knud Jahnke, K. Pedersen, Domenico Sapone, W. A. Holmes, I. Lloro, Luigi Guzzo, F. Raison, Luciano Casarini, K. Markovic, Alina Kiessling, Emanuel Rossetti, C. Padilla, Julien Zoubian, T. Vassallo, Edwin A. Valentijn, G. Sirri, Pablo Fosalba, M. Archidiacono, Anne Costille, S. Pires, Andrea Cimatti, Giulio Fabbian, David F. Mota, Leonardo Corcione, Massimo Meneghetti, P. B. Lilje, S. Casas, Isaac Tutusaus, G. Congedo, Valeria Pettorino, Felix Hormuth, Carmelita Carbone, S. Niemi, S. Ilić, S. Kermiche, Carlo Giocoli, Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique et Atmosphères = Laboratory for Studies of Radiation and Matter in Astrophysics and Atmospheres (LERMA), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), 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), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre National d'Études Spatiales [Toulouse] (CNES), 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), Institut d'astrophysique spatiale (IAS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-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), Département d'Astrophysique (ex SAP) (DAP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Euclid, Ministerio de Ciencia, Innovación y Universidades (España), La Caixa, European Commission, Canadian Euclid Consortium, Astronomy, Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Institut national des sciences de l'Univers (INSU - CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), 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), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Martinelli, M., Tutusaus, I., Archidiacono, M., Camera, S., Cardone, V. F., Clesse, S., Casas, S., Casarini, L., Mota, D. F., Hoekstra, H., Carbone, C., Ilic, S., Kitching, T. D., Pettorino, V., Pourtsidou, A., Sakr, Z., Sapone, D., Auricchio, N., Balestra, A., Boucaud, A., Branchini, E., Brescia, M., Capobianco, V., Carretero, J., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conselice, C., Conversi, L., Corcione, L., Costille, A., Douspis, M., Dubath, F., Dusini, S., Fabbian, G., Fosalba, P., Frailis, M., Franceschi, E., Gillis, B., Giocoli, C., Grupp, F., Guzzo, L., Holmes, W., Hormuth, F., Jahnke, K., Kermiche, S., Kiessling, A., Kilbinger, M., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Marggraf, O., Markovic, K., Massey, R., Meneghetti, M., Meylan, G., Morin, B., Moscardini, L., Niemi, S., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Pires, S., Polenta, G., Poncet, M., Popa, L., Raison, F., Rhodes, J., Roncarelli, M., Rossetti, E., Saglia, R., Schneider, P., Secroun, A., Serrano, S., Sirignano, C., Sirri, G., Starck, J. -L., Sureau, F., Taylor, A. N., Tereno, I., Toledo-Moreo, R., Valentijn, E. A., Valenziano, L., Vassallo, T., Wang, Y., Welikala, N., Zacchei, A., Zoubian, J., Martinelli M., Tutusaus I., Archidiacono M., Camera S., Cardone V.F., Clesse S., Casas S., Casarini L., Mota D.F., Hoekstra H., Carbone C., Ilic S., Kitching T.D., Pettorino V., Pourtsidou A., Sakr Z., Sapone D., Auricchio N., Balestra A., Boucaud A., Branchini E., Brescia M., Capobianco V., Carretero J., Castellano M., Cavuoti S., Cimatti A., Cledassou R., Congedo G., Conselice C., Conversi L., Corcione L., Costille A., Douspis M., Dubath F., Dusini S., Fabbian G., Fosalba P., Frailis M., Franceschi E., Gillis B., Giocoli C., Grupp F., Guzzo L., Holmes W., Hormuth F., Jahnke K., Kermiche S., Kiessling A., Kilbinger M., Kunz M., Kurki-Suonio H., Ligori S., Lilje P.B., Lloro I., Maiorano E., Marggraf O., Markovic K., Massey R., Meneghetti M., Meylan G., Morin B., Moscardini L., Niemi S., Padilla C., Paltani S., Pasian F., Pedersen K., Pires S., Polenta G., Poncet M., Popa L., Raison F., Rhodes J., Roncarelli M., Rossetti E., Saglia R., Schneider P., Secroun A., Serrano S., Sirignano C., Sirri G., Starck J.-L., Sureau F., Taylor A.N., Tereno I., Toledo-Moreo R., Valentijn E.A., Valenziano L., Vassallo T., Wang Y., Welikala N., Zacchei A., Zoubian J., UAM.Departamento de Física Teórica, Department of Physics, and Helsinki Institute of Physics

Subjects
Cosmological parameter, Structure formation, Large-scale structure of Universe, Astrophysics - cosmology and nongalactic astrophysics, media_common.quotation_subject, Cosmological parameters, Dark matter, Cosmic microwave background, Large-scale structure of universe, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 114 Physical sciences, 7. Clean energy, 01 natural sciences, Large-scale structure, symbols.namesake, N-body, Universe, Gravitational lensing: weak, Dark energy, 0103 physical sciences, Statistical physics, Planck, 010303 astronomy & astrophysics, Weak gravitational lensing, media_common, Precision emulation, Physics, Galaxy formation, massive neutrinos, 010308 nuclear & particles physics, Computer Science::Information Retrieval, Física, Astronomy and Astrophysics, 115 Astronomy, Space science, Astronomía, Gravitational lens, Space and Planetary Science, astro-ph.CO, symbols, Sample variance, Accurate halo-model, weak [Gravitational lensing], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Matter power spectrum, Hubble's law
Abstract

Martinelli, M., et al., Upcoming surveys will map the growth of large-scale structure with unprecented precision, improving our understanding of the dark sector of the Universe. Unfortunately, much of the cosmological information is encoded on small scales, where the clustering of dark matter and the effects of astrophysical feedback processes are not fully understood. This can bias the estimates of cosmological parameters, which we study here for a joint analysis of mock Euclid cosmic shear and Planck cosmic microwave background data. We use different implementations for the modelling of the signal on small scales and find that they result in significantly different predictions. Moreover, the different non-linear corrections lead to biased parameter estimates, especially when the analysis is extended into the highly non-linear regime, with the Hubble constant, H0, and the clustering amplitude, σ8, affected the most. Improvements in the modelling of non-linear scales will therefore be needed if we are to resolve the current tension with more and better data. For a given prescription for the non-linear power spectrum, using different corrections for baryon physics does not significantly impact the precision of Euclid, but neglecting these correction does lead to large biases in the cosmological parameters. In order to extract precise and unbiased constraints on cosmological parameters from Euclid cosmic shear data, it is therefore essential to improve the accuracy of the recipes that account for non-linear structure formation, as well as the modelling of the impact of astrophysical processes that redistribute the baryons., Stefano Camera acknowledges support from the Italian Ministry of Education, University and Research (Miur) through Rita Levi Mon-talcini project ‘Prometheus – Probing and Relating Observables with Multiwavelength Experiments To Help Enlightening the Universe’s Structure’, and the ‘Departments of Excellence 2018–2022’ Grant awarded by Miur (L. 232/2016). The work of SC is supported by the Belgian Fund for Research FNRS-F.R.S. I. T. acknowledges support from the Spanish Ministry of Science, Innovation and Universities through grant ESP2017-89838-C3-1-R. I. T. and T. K. acknowledge funding from the H2020 programme of the European Commission through grant 776247. AP is a UK Research and Innovation Future Leaders Fellow, grant MR/S016066/1. The Euclid Consortium acknowledges the European Space Agency and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the Centre National d’Etudes Spatiales, the Deutsches Zentrum für Luft-und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnolo-gia, the Ministerio de Economia y Competitividad, the National Aeronautics and Space Administration, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency. A complete and detailed list is available on the Euclid web site (http://www.euclid-ec.org). D. F. M. thanks the Research Council of Norway for their support, and the resources provided by UNINETT Sigma2 – the National Infrastructure for High Performance Computing and Data Storage in Norway. M. M. has received the support of a fellowship from “la Caixa” Foundation (ID 100010434), with fellowship code LCF/BQ/PI19/11690015, and the support of the Spanish Agencia Estatal de Investigacion through the grant “IFT Centro de Excelencia Severo Ochoa SEV-2016-0597”. This paper is based upon work from the COST action CA15117 (CANTATA), supported by COST (European Cooperation in Science and Technology). M. A. acknowledges the computing

Published
2021

3. Cosmological model discrimination with weak lensing

Author

Sandrine Pires, A. Refregier, Jean-Luc Starck, Adam Amara, and Romain Teyssier

Subjects
Physics, Gaussian, Strong gravitational lensing, Gravitational lensing formalism, Dark matter, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, symbols.namesake, Wavelet, Gravitational lens, Space and Planetary Science, Quantum mechanics, symbols, Statistical physics, Bispectrum, Weak gravitational lensing
Abstract

Weak gravitational lensing provides a unique way of mapping directly the dark matter in the Universe. The majority of lensing analyses use the two-point statistics of the cosmic shear field to constrain the cosmological model, a method that is affected by degeneracies, such as that between σ8 and Ωm which are respectively the rms of the mass fluctuations on a scale of 8 Mpc/h and the matter density parameter, both at z = 0. However, the two-point statistics only measure the Gaussian properties of the field, and the weak lensing field is non-Gaussian. It has been shown that the estimation of non-Gaussian statistics for weak lensing data can improve the constraints on cosmological parameters. In this paper, we systematically compare a wide range of non-Gaussian estimators to determine which one provides tighter constraints on the cosmological parameters. These statistical methods include skewness, kurtosis, and the higher criticism test, in several sparse representations such as wavelet and curvelet; as well as the bispectrum, peak counting, and a newly introduced statistic called wavelet peak counting (WPC). Comparisons based on sparse representations indicate that the wavelet transform is the most sensitive to non-Gaussian cosmological structures. It also appears that the most helpful statistic for non-Gaussian characterization in weak lensing mass maps is the WPC. Finally, we show that the σ8–Ωm degeneracy could be even better broken if the WPC estimation is performed on weak lensing mass maps filtered by the wavelet method, MRLens.

Published
2009

4. Source detection using a 3D sparse representation: application to the Fermi gamma-ray space telescope

Author

Bo Zhang, J. Chiang, Jean-Luc Starck, Jalal M. Fadili, Seth Digel, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Equipe Image - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), SLAC National Accelerator Laboratory (SLAC), Stanford University, Analyse d'Images Quantitative (AIQ), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), and Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS)

Subjects
Active galactic nucleus, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, techniques: image processing, Astrophysics, 01 natural sciences, law.invention, Telescope, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Spitzer Space Telescope, law, 0103 physical sciences, Angular resolution, Blazar, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, High Energy Astrophysical Phenomena (astro-ph.HE), Physics, 010308 nuclear & particles physics, Gamma ray, Astronomy and Astrophysics, methods: data analysis, Thresholding, Space and Planetary Science, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Fermi Gamma-ray Space Telescope
Abstract

The multiscale variance stabilization Transform (MSVST) has recently been proposed for Poisson data denoising. This procedure, which is nonparametric, is based on thresholding wavelet coefficients. We present in this paper an extension of the MSVST to 3D data (in fact 2D-1D data) when the third dimension is not a spatial dimension, but the wavelength, the energy, or the time. We show that the MSVST can be used for detecting and characterizing astrophysical sources of high-energy gamma rays, using realistic simulated observations with the Large Area Telescope (LAT). The LAT was launched in June 2008 on the Fermi Gamma-ray Space Telescope mission. The MSVST algorithm is very fast relative to traditional likelihood model fitting, and permits efficient detection across the time dimension and immediate estimation of spectral properties. Astrophysical sources of gamma rays, especially active galaxies, are typically quite variable, and our current work may lead to a reliable method to quickly characterize the flaring properties of newly-detected sources., Accepted. Full paper will figures available at http://jstarck.free.fr/aa08_msvst.pdf

Published
2009

5. L’analyse des données en astrophysique

Author

Jean-Luc Starck

Subjects
General Environmental Science
Abstract

Pour un astrophysicien, le signal traduit l'information emise par une source et qu'il doit interpreter. Grâce a l'informatique, le traitement du signal connait depuis une dizaine d'annees des developpements spectaculaires qui permettent aux astrophysiciens de valider, affiner ou remettre en question la comprehension de L'Univers.

Published
2009

6. Voyage dans les lumières de l’Univers

Author

Rafael-A. Garcia, Cécile Ferrari, Christophe Cara, Michel Talvard, Jean-Luc Starck, Louis Rodriguez, Jean-Francois Glicenstein, Marc Sauvage, François Lebrun, Pierre-Olivier Lagage, Isabelle Grenier, and Jean-Luc Sauvageot

Subjects
General Environmental Science
Abstract

Pendant longtemps, les astrophysiciens n'ont eu a leur disposition que la lumiere visible pour observer l'Univers. Aujourd'hui, grâce aux observatoires spatiaux, ils disposent d'une panoplie d'instruments capables de capter toutes les lumieres de l'Univers, des ondes radio aux rayonnements gamma.

Published
2009

7. The reversal of the star formation-density relation in the distant universe

Author

Daniel Stern, Emily MacDonald, David M. Alexander, Emanuele Daddi, David Elbaz, Manfred G. Kitzbichler, Mario Nonino, Mark Dickinson, D. Le Borgne, Paola Popesso, W. N. Brandt, Jean-Luc Starck, Eros Vanzella, and Ranga-Ram Chary

Subjects
Physics, Luminous infrared galaxy, Stellar mass, Star formation, media_common.quotation_subject, Astrophysics (astro-ph), FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, Galaxy, Universe, Space and Planetary Science, Galaxy formation and evolution, Astrophysics::Solar and Stellar Astrophysics, Local environment, Merge (version control), Astrophysics::Galaxy Astrophysics, media_common
Abstract

We study the relationship between the local environment of galaxies and their star formation rate (SFR) in the Great Observatories Origins Deep Survey, GOODS, at z~1, from ultradeep imaging at 24 microns with the MIPS camera onboard Spitzer. We show that the star formation-density relation observed locally was reversed at z~1: the average SFR of an individual galaxy increased with local galaxy density when the universe was less than half its present age. Hierarchical galaxy formation models (simulated lightcones from the Millennium model) predicted such a reversal to occur only at only at earlier epochs (z>2) and at a lower level. We present a remarkable structure at z~1.016, containing X-ray traced galaxy concentrations, which will eventually merge into a Virgo-like cluster. This structure illustrates how the individual SFR of galaxies increases with density at the ~1-2 Mpc scale. The SFR of z~1 galaxies is found to correlate with stellar mass suggesting that mass plays a role in the observed star formation-density trend. However the specific SFR (=SFR/M*) decreases with stellar mass while it increases with galaxy density, which implies that the environment does directly affect the star formation activity of galaxies. Major mergers do not appear to be the unique or even major cause for this effect since nearly half (46%) of the luminous infrared galaxies (LIRGs) at z~1 present the HST-ACS morphology of spirals, while only a third present a clear signature of major mergers. The remaining galaxies are divided into compact (9%) and irregular (14%) galaxies. Moreover, the specific SFR of major mergers is only marginally stronger than that of spirals. Reproducing the SFR-density relation at z ~ 1 is a new challenge for models, requiring a correct balance between mergers and in-situ star formation at early epochs., Accepted for publication in Astronomy & Astrophysics, 17 pages, 29 figures (same as previous version except for a few typos). For a version of this paper with higher resolution figures, go to http://david.elbaz3.free.fr/papers.html

Published
2007

8. Planck 2013 results

Author

Jérôme Bobin, Davide Maino, M. Frailis, Carlo Baccigalupi, E. Hivon, Luigi Danese, A. Chamballu, J.-F. Sygnet, D. J. Marshall, Simon D. M. White, Luca Terenzi, Luca Valenziano, Ben Rusholme, D. Yvon, C. Hernández-Monteagudo, E. P. S. Shellard, S. Ricciardi, D. Herranz, M. Sandri, Jussi-Pekka Väliviita, G. Patanchon, F. Paci, Jörg P. Rachen, C. Renault, A. Mennella, Nabila Aghanim, Bruno Maffei, Reijo Keskitalo, Nicola Bartolo, F. Pajot, Alessandro Melchiorri, Jacques Delabrouille, E. Martínez-González, J. A. Murphy, R. A. Sunyaev, A.-S. Suur-Uski, Alan Heavens, M. Piat, Peter Meinhold, A. Curto, M. Tucci, N. Mandolesi, Charles R. Lawrence, Julien Lesgourgues, Andrew H. Jaffe, Philip Lubin, Kendrick M. Smith, F. Pasian, James R. Fergusson, René J. Laureijs, J. González-Nuevo, M. Bridges, O. Perdereau, Fabio Finelli, S. Donzelli, Michael P. Hobson, James G. Bartlett, P. Vielva, Marian Douspis, W. A. Holmes, Marcella Massardi, R. C. Butler, B. Racine, K. Ganga, A. Renzi, Krzysztof M. Gorski, Allan Hornstrup, A. Coulais, Davide Pietrobon, W. Hovest, Andrea Zacchei, L. Mendes, Sabino Matarrese, Olivier Forni, M.-A. Miville-Deschênes, Jose Alberto Rubino-Martin, M. Tristram, Etienne Pointecouteau, Jose M. Diego, Domenico Marinucci, Adam Moss, Anthony Challinor, I. D. Novikov, D. Tavagnacco, D. L. Harrison, G. de Zotti, G. Polenta, M. Linden-Vørnle, Sarah E. Church, Theodore Kisner, G. Prézeau, Giorgio Savini, Hiranya V. Peiris, J. Tuovinen, B. Van Tent, F. K. Hansen, Rafael Rebolo, Calvin B. Netterfield, A. Catalano, P. R. Christensen, H. Dole, Subhabrata Mitra, J. A. Tauber, L. Perotto, M. Maris, Silvia Masi, S. R. Hildebrandt, Carlo Burigana, L. Montier, Andrea Zonca, A. Gregorio, M. Tomasi, A. J. Banday, Peter A. R. Ade, S. Colombi, F. Couchot, N. Ponthieu, Michele Liguori, F. Piacentini, H. C. Chiang, E. Franceschi, A. Moneti, Jean-Luc Starck, P. de Bernardis, J. P. Leahy, R. D. Davies, P. B. Lilje, Jean-François Cardoso, Marco Bersanelli, Guilaine Lagache, A. Benoit-Lévy, C. Rosset, François R. Bouchet, M. Giard, F. Noviello, Kevin M. Huffenberger, Francesca Perrotta, Torsten A. Enßlin, Joanna Dunkley, J.-P. Bernard, K. Benabed, M. Ashdown, M. López-Caniego, H. K. Eriksen, B. P. Crill, Lung-Yih Chiang, T. Riller, Anne Lähteenmäki, F. Elsner, Laura Bonavera, R. V. Sudiwala, J. Aumont, J. F. Macías-Pérez, X. Dupac, L. Popa, J. R. Bond, Daniel J. Mortlock, Antony Lewis, Fabrizio Villa, S. Galeotta, Benjamin D. Wandelt, Julian Borrill, Stéphane Plaszczynski, E. Pierpaoli, R. Leonardi, Nicola Vittorio, Graca Rocha, C. Armitage-Caplan, R. B. Barreiro, Radek Stompor, Serge Gratton, Pasquale Mazzotta, F.-X. Désert, L. P. L. Colombo, J.-M. Delouis, W. C. Jones, Fernando Atrio-Barandela, Anna Mangilli, J.-L. Puget, Dmitry Novikov, Mika Juvela, L. A. Wade, T. Poutanen, Daniela Paoletti, A. Ducout, Dipak Munshi, George Efstathiou, Michael Seiffert, F. Matthai, Duncan Hanson, Martin White, M. Bucher, Douglas Scott, G. W. Pratt, F. Cuttaia, Gianluca Morgante, James J. Bock, Paul M. Sutter, Anna Bonaldi, D. Santos, T. R. Jaffe, M. Migliaccio, Sophie Henrot-Versille, Paolo Natoli, Y. Giraud-Héraud, I. Ristorcelli, F. Lacasa, Monique Arnaud, Hans Ulrik Nørgaard-Nielsen, Peter G. Martin, E. Battaner, Pavel Naselsky, R. J. Davis, Jussi Varis, Olivier Doré, L. Toffolatti, Anthony Lasenby, E. Keihänen, Alain Benoit, Alessandro Gruppuso, J.-M. Lamarre, S. Osborne, D. Sutton, F. Sureau, A. de Rosa, Hannu Kurki-Suonio, Lloyd Knox, Locke D. Spencer, David L. Clements, J. Knoche, Simon Prunet, P. Bielewicz, G. Roudier, Carol Anne Oxborrow, M. Reinecke, V. Stolyarov, Martin Kunz, Mathieu Remazeilles, L. Pagano, Anne Lähteenmäki Group, Department of Electronics and Nanoengineering, Aalto-yliopisto, Aalto University, APC - Cosmologie, Physique Corpusculaire et Cosmologie - Collège de France (PCC), Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-AstroParticule et Cosmologie (APC (UMR_7164)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - 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Gravitation (APC-Gravitation), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Max-Planck-Institut für Gravitationsphysik ( Albert-Einstein-Institut ) (AEI), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, PLANCK, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Hélium : du fondamental aux applications (NEEL - HELFA), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Pierre et Marie Curie - 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A. R., Aghanim, N., Armitage Caplan, C., Arnaud, M., Ashdown, M., Atrio Barandela, F., Aumont, J., Baccigalupi, C., Banday, A. J., Barreiro, R. B., Bartlett, J. G., Bartolo, N., Battaner, E., Benabed, K., Benoît, A., Benoit Lévy, A., Bernard, J. P., Bersanelli, M., Bielewicz, P., Bobin, J., Bock, J. J., Bonaldi, A., Bonavera, L., Bond, J. R., Borrill, J., Bouchet, F. R., Bridges, M., Bucher, M., Burigana, C., Butler, R. C., Cardoso, J. F., Catalano, A., Challinor, A., Chamballu, A., Chiang, H. C., Chiang, L. Y., Christensen, P. R., Church, S., Clements, D. L., Colombi, S., Colombo, L. P. L., Couchot, F., Coulais, A., Crill, B. P., Curto, A., Cuttaia, F., Danese, L., Davies, R. D., Davis, R. J., De Bernardis, P., De Rosa, A., De Zotti, G., Delabrouille, J., Delouis, J. M., Désert, F. X., Diego, J. M., Dole, H., Donzelli, S., Doré, O., Douspis, M., Ducout, A., Dunkley, J., Dupac, X., Efstathiou, G., Elsner, F., Enßlin, T. A., Eriksen, H. K., Fergusson, J., Finelli, F., Forni, O., Frailis, M., Franceschi, E., Galeotta, S., Ganga, K., Giard, M., Giraud Héraud, Y., González Nuevo, J., Górski, K. M., Gratton, S., Gregorio, Anna, Gruppuso, A., Hansen, F. K., Hanson, D., Harrison, D., Heavens, A., Henrot Versillé, S., Hernández Monteagudo, C., Herranz, D., Hildebrandt, S. R., Hivon, E., Hobson, M., Holmes, W. A., Hornstrup, A., Hovest, W., Huffenberger, K. M., Jaffe, A. H., Jaffe, T. R., Jones, W. C., Juvela, M., Keihänen, E., Keskitalo, R., Kisner, T. S., Knoche, J., Knox, L., Kunz, M., Kurki Suonio, H., Lacasa, F., Lagache, G., Lähteenmäki, A., Lamarre, J. M., Lasenby, A., Laureijs, R. J., Lawrence, C. R., Leahy, J. P., Leonardi, R., Lesgourgues, J., Lewis, A., Liguori, M., Lilje, P. B., Linden Vørnle, M., López Caniego, M., Lubin, P. M., MacIás Pérez, J. F., Maffei, B., Maino, D., Mandolesi, N., Mangilli, A., Marinucci, D., Maris, M., Marshall, D. J., Martin, P. G., Martínez González, E., Masi, S., Massardi, M., Matarrese, S., Matthai, F., Mazzotta, P., Meinhold, P. R., Melchiorri, A., Mendes, L., Mennella, A., Migliaccio, M., Mitra, S., Miville Deschênes, M. A., Moneti, A., Montier, L., Morgante, G., Mortlock, D., Moss, A., Munshi, D., Murphy, J. A., Naselsky, P., Natoli, P., Netterfield, C. B., Nørgaard Nielsen, H. U., Noviello, F., Novikov, D., Novikov, I., Osborne, S., Oxborrow, C. A., Paci, F., Pagano, L., Pajot, F., Paoletti, D., Pasian, F., Patanchon, G., Peiris, H. V., Perdereau, O., Perotto, L., Perrotta, F., Piacentini, F., Piat, M., Pierpaoli, E., Pietrobon, D., Plaszczynski, S., Pointecouteau, E., Polenta, G., Ponthieu, N., Popa, L., Poutanen, T., Pratt, G. W., Prézeau, G., Prunet, S., Puget, J. L., Rachen, J. P., Racine, B., Rebolo, R., Reinecke, M., Remazeilles, M., Renault, C., Renzi, A., Ricciardi, S., Riller, T., Ristorcelli, I., Rocha, G., Rosset, C., Roudier, G., Rubinõ Martín, J. A., Rusholme, B., Sandri, M., Santos, D., Savini, G., Scott, D., Seiffert, M. D., Shellard, E. P. S., Smith, K., Spencer, L. D., Starck, J. L., Stolyarov, V., Stompor, R., Sudiwala, R., Sunyaev, R., Sureau, F., Sutter, P., Sutton, D., Suur Uski, A. S., Sygnet, J. F., Tauber, J. A., Tavagnacco, Daniele, Terenzi, L., Toffolatti, L., Tomasi, M., Tristram, M., Tucci, M., Tuovinen, J., Valenziano, L., Valiviita, J., Van Tent, B., Varis, J., Vielva, P., Villa, F., Vittorio, N., Wade, L. A., Wandelt, B. D., White, M., White, S. D. M., Yvon, D., Zacchei, A., Zonca, A., Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Hélium : du fondamental aux applications (HELFA), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS Paris), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Max-Planck-Institut für Gravitationsphysik ( Albert-Einstein-Institut ) (AEI), Department of Physics, and Helsinki Institute of Physics

Subjects
POINT SOURCES, [SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], Astronomy, Cosmic microwave background, data analysis, POLARIZATION ANISOTROPIES, Astrophysics, cosmic background radiation, 7. Clean energy, OBSERVATIONS COSMOLOGICAL INTERPRETATION, cosmology: theory, 3-POINT CORRELATION-FUNCTION, Statistical physics, QB, Physics, theory [cosmology], Astrophysics::Instrumentation and Methods for Astrophysics, Estimator, early Universe, Computer Science::Computers and Society, observations [cosmology], Physics::Space Physics, Physical Sciences, symbols, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics and Astronomy, COMPONENT SEPARATION, Cosmology and Nongalactic Astrophysics (astro-ph.CO), education, Cosmic background radiation, MINKOWSKI FUNCTIONALS, FOS: Physical sciences, observation [Cosmology], Astrophysics::Cosmology and Extragalactic Astrophysics, Astronomy & Astrophysics, cosmic background radiation / cosmology: observations / cosmology: theory / early Universe / inflation / methods: data analysis, Computer Science::Digital Libraries, NO, [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], symbols.namesake, Settore FIS/05 - Astronomia e Astrofisica, Non-Gaussianity, MICROWAVE BACKGROUND BISPECTRUM, LARGE-SCALE STRUCTURE, data analysis [methods], NONLINEAR COUPLING PARAMETER, Planck, inflation, Inflation (cosmology), Science & Technology, Astronomy and Astrophysics, Astronomy and Astrophysic, 115 Astronomy, Space science, methods: data analysis, Ekpyrotic universe, Settore MAT/06 - Probabilita' e Statistica Matematica, data analysi [Methods], Cosmology: observations, Cosmology: theory, Early Universe, Inflation, Methods: data analysis, 13. Climate action, Space and Planetary Science, cosmology: observations, PROBE WMAP OBSERVATIONS, Bispectrum, cosmology
Abstract

The Planck nominal mission cosmic microwave background (CMB) maps yield unprecedented constraints on primordial non-Gaussianity (NG). Using three optimal bispectrum estimators, separable template-fitting (KSW), binned, and modal, we obtain consistent values for the primordial local, equilateral, and orthogonal bispectrum amplitudes, quoting as our final result fNLlocal = 2.7 ± 5.8, fNLequil = -42 ± 75, and fNLorth = -25 ± 39 (68% CL statistical). Non-Gaussianity is detected in the data; using skew-Cl statistics we find a nonzero bispectrum from residual point sources, and the integrated-Sachs-Wolfe-lensing bispectrum at a level expected in the ?CDM scenario. The results are based on comprehensive cross-validation of these estimators on Gaussian and non-Gaussian simulations, are stable across component separation techniques, pass an extensive suite of tests, and are confirmed by skew-Cl, wavelet bispectrum and Minkowski functional estimators. Beyond estimates of individual shape amplitudes, we present model-independent, three-dimensional reconstructions of the Planck CMB bispectrum and thus derive constraints on early-Universe scenarios that generate primordial NG, including general single-field models of inflation, excited initial states (non-Bunch-Davies vacua), and directionally-dependent vector models. We provide an initial survey of scale-dependent feature and resonance models. These results bound both general single-field and multi-field model parameter ranges, such as the speed of sound, cs ≥ 0.02 (95% CL), in an effective field theory parametrization, and the curvaton decay fraction rD ≥ 0.15 (95% CL). The Planck data significantly limit the viable parameter space of the ekpyrotic/cyclic scenarios. The amplitude of the four-point function in the local model τNL< 2800 (95% CL). Taken together, these constraints represent the highest precision tests to date of physical mechanisms for the origin of cosmic structure., The development of Planck has been supported by: ESA; CNES and CNRS/INSU-IN2P3-INP (France); ASI, CNR, and INAF (Italy); NASA and DoE (USA); STFC and UKSA (UK); CSIC, MICINN and JA (Spain); Tekes, AoF and CSC (Finland); DLR and MPG (Germany); CSA (Canada); DTU Space (Denmark); SER/SSO (Switzerland); RCN (Norway); SFI (Ireland); FCT/MCTES (Portugal); and PRACE (EU).

Published
2014

9. Planck 2013 results

Author

T. Poutanen, Olivier Doré, K. Ganga, O. Perdereau, Peter A. R. Ade, Jose M. Diego, Krzysztof M. Gorski, V. Stolyarov, Y. Giraud-Héraud, E. Franceschi, I. Ristorcelli, Martin Kunz, Duncan Hanson, P. R. Christensen, C. Hernández-Monteagudo, P. M. McGehee, Mathieu Remazeilles, Anthony Lasenby, L. Sanselme, Monique Arnaud, Charles R. Lawrence, Jon E. Gudmundsson, L. Pagano, S. Galeotta, F. Piacentini, E. Keihänen, W. Hovest, F. Melot, William T. Reach, Guilaine Lagache, Jean-François Cardoso, Francesca Perrotta, L. Perotto, Allan Hornstrup, George Helou, Etienne Pointecouteau, M. López-Caniego, Alessandro Melchiorri, Kevin M. Huffenberger, Alain Benoit, D. L. Harrison, R. Leonardi, Michele Liguori, Theodore Kisner, Hans Ulrik Nørgaard-Nielsen, C. North, C. Leroy, M. Maris, N. Ponthieu, A. de Rosa, R.-R. Chary, Jo Dunkley, M. Tucci, Stéphane Colombi, J. J. Bock, M. Ashdown, Pavel Naselsky, R. J. Davis, Andrea Zacchei, H. K. Eriksen, Francine R. Marleau, J. W. Bowyer, Fabrizio Villa, M. Bridges, M. Tomasi, F. Cuttaia, W. A. Holmes, B. Racine, A. Chamballu, Torsten A. Enßlin, Locke D. Spencer, Olivier Forni, J. Aumont, S. R. Hildebrandt, A. Benoit-Lévy, Daniel J. Mortlock, M.-A. Miville-Deschênes, M. Giard, E. Pierpaoli, Aurelien A. Fraisse, M. Frailis, Carlo Baccigalupi, E. Hivon, S. Techene, S. Mottet, P. B. Lilje, D. Sutton, W. C. Jones, F. K. Hansen, J. Knoche, Marco Bersanelli, Roberta Paladini, Simon Prunet, Carlo Burigana, Simon D. M. White, P. Bielewicz, B. P. Crill, Lung-Yih Chiang, S. Donzelli, D. Girard, A. Curto, Peter G. Martin, François R. Bouchet, Serge Gratton, A. Sauvé, F.-X. Désert, J. Bobin, G. W. Pratt, D. Herranz, M. Le Jeune, D. Yvon, Michael Rowan-Robinson, Nicola Vittorio, L. P. L. Colombo, F. Matthai, C. Armitage-Caplan, Giorgio Savini, A. Catalano, Gianluca Morgante, T. Riller, Dmitry Novikov, Bruno Maffei, Clive Dickinson, Xin Chen, J.-L. Puget, Pasquale Mazzotta, J.-F. Sygnet, Stéphane Plaszczynski, L. Vibert, X. Dupac, Carol Anne Oxborrow, M. Reinecke, Davide Pietrobon, E. Battaner, L. A. Wade, Daniela Paoletti, F. Pajot, Reijo Keskitalo, M. Bucher, Douglas Scott, Luigi Danese, Dipak Munshi, George Efstathiou, L. Popa, Ben Rusholme, P. Vielva, D. Santos, A. Mennella, Nabila Aghanim, Luca Valenziano, A. Coulais, F. Atrio-Barandela, Calvin B. Netterfield, G. Giardino, T. R. Jaffe, O. Herent, Marcella Massardi, R. Kneissl, Jacques Delabrouille, François Orieux, J.-M. Delouis, M. Migliaccio, N. Mandolesi, J. A. Murphy, A. Moneti, Radek Stompor, Federico Nati, E. P. S. Shellard, Luca Terenzi, C. Combet, Andrew H. Jaffe, G. Umana, G. de Zotti, René J. Laureijs, Mika Juvela, F. Boulanger, Jussi-Pekka Väliviita, G. Patanchon, F. Couchot, I. D. Novikov, Philip Lubin, Fabio Finelli, Peter Meinhold, F. Paci, Sophie Henrot-Versille, Alessandro Gruppuso, Z. Hou, R. D. Davies, F. Noviello, J. González-Nuevo, G. Prézeau, Paolo Natoli, Andrea Zonca, K. Benabed, A. Gregorio, Marian Douspis, H. C. Chiang, J. R. Bond, Michael P. Hobson, Franck Sureau, B. Van Tent, J.-M. Lamarre, L. Mendes, S. Osborne, A. J. Banday, A.-S. Suur-Uski, Sabino Matarrese, H. Dole, Subhabrata Mitra, J. A. Tauber, Hannu Kurki-Suonio, J. Lesgourgues, G. Hurier, C. J. MacTavish, Lloyd Knox, David L. Clements, G. Roudier, P. de Bernardis, C. Rosset, Silvia Masi, Jean-Luc Starck, D. J. Marshall, J. F. Macías-Pérez, Graca Rocha, L. Montier, F. Pasian, J.-P. Bernard, Benjamin D. Wandelt, M. Tristram, Julian Borrill, G. Polenta, M. Linden-Vørnle, Sarah E. Church, E. Martínez-González, M. Piat, D. Tavagnacco, Rafael Rebolo, R. B. Barreiro, R. Sudiwala, S. Ricciardi, Jörg P. Rachen, C. Renault, Tauber, Jan, Aghanim, N., Armitage Caplan, C., Arnaud, M., Ashdown, M., Atrio Barandela, F., Aumont, J., Baccigalupi, C., Banday, A. J., Barreiro, R. B., Battaner, E., Benabed, K., Benoît, A., Benoit Lévy, A., Bernard, J. P., Bersanelli, M., Bielewicz, P., Bobin, J., Bock, J. J., Bonaldi, A., Bonavera, L., Bond, J. R., Borrill, J., Bouchet, F. R., Bridges, M., Bucher, M., Burigana, C., Butler, R. C., Cappellini, B., Cardoso, J. F., Catalano, A., Chamballu, A., Chen, X., Chiang, L. Y., Christensen, P. R., Church, S., Colombi, S., Colombo, L. P. L., Crill, B. P., Cruz, M., Curto, A., Cuttaia, F., Danese, L., Davies, R. D., Davis, R. J., De Bernardis, P., De Rosa, A., De Zotti, G., Delabrouille, J., Dickinson, C., Diego, J. M., Dole, H., Donzelli, S., Doré, O., Douspis, M., Dupac, X., Efstathiou, G., Enßlin, T. A., Eriksen, H. K., Falvella, M. C., Finelli, F., Forni, O., Frailis, M., Franceschi, E., Gaier, T. C., Galeotta, S., Ganga, K., Giard, M., Giardino, G., Giraud Héraud, Y., Gjerløw, E., González Nuevo, J., Górski, K. M., Gratton, S., Gregorio, Anna, Gruppuso, A., Hansen, F. K., Hanson, D., Harrison, D., Henrot Versillé, S., Hernández Monteagudo, C., Herranz, D., Hildebrandt, S. R., Hivon, E., Hobson, M., Holmes, W. A., Hornstrup, A., Hovest, W., Huffenberger, K. M., Jaffe, A. H., Jaffe, T. R., Jewell, J., Jones, W. C., Juvela, M., Kangaslahti, P., Keihänen, E., Keskitalo, R., Kiiveri, K., Kisner, T. S., Knoche, J., Knox, L., Kunz, M., Kurki Suonio, H., Lagache, G., Lähteenmäki, A., Lamarre, J. M., Lasenby, A., Lattanzi, M., Laureijs, R. J., Lawrence, C. R., Leach, S., Leahy, J. P., Leonardi, R., Lesgourgues, J., Liguori, M., Lilje, P. B., Linden Vørnle, M., Lindholm, V., López Caniego, M., Lubin, P. M., MacIás Pérez, J. F., Maggio, G., Maino, D., Mandolesi, N., Maris, M., Marshall, D. J., Martin, P. G., Martínez González, E., Masi, S., Massardi, M., Matarrese, S., Matthai, F., Mazzotta, P., Meinhold, P. R., Melchiorri, A., Mendes, L., Mennella, A., Migliaccio, M., Mitra, S., Moneti, A., Montier, L., Morgante, G., Morisset, N., Mortlock, D., Moss, A., Munshi, D., Naselsky, P., Natoli, P., Netterfield, C. B., Nørgaard Nielsen, H. U., Novikov, D., Novikov, I., O'Dwyer, I. J., Osborne, S., Paci, F., Pagano, L., Paladini, R., Paoletti, D., Partridge, B., Pasian, F., Patanchon, G., Peel, M., Perdereau, O., Perotto, L., Perrotta, F., Pierpaoli, E., Pietrobon, D., Plaszczynski, S., Platania, P., Pointecouteau, E., Polenta, G., Ponthieu, N., Popa, L., Poutanen, T., Pratt, G. W., Prézeau, G., Prunet, S., Puget, J. L., Rachen, J. P., Reach, W. T., Rebolo, R., Reinecke, M., Remazeilles, M., Ricciardi, S., Riller, T., Robbers, G., Rocha, G., Rosset, C., Rossetti, M., Roudier, G., Rubinõ Martín, J. A., Rusholme, B., Salerno, E., Sandri, M., Santos, D., Scott, D., Seiffert, M. D., Shellard, E. P. S., Spencer, L. D., Starck, J. L., Stolyarov, V., Stompor, R., Sureau, F., Sutton, D., Suur Uski, A. S., Sygnet, J. F., Tauber, J. A., Tavagnacco, Daniele, Terenzi, L., Toffolatti, L., Tomasi, M., Tristram, M., Tucci, M., Tuovinen, J., Türler, M., Umana, G., Valenziano, L., Valiviita, J., Van Tent, B., Varis, J., Vielva, P., Villa, F., Vittorio, N., Wade, L. A., Wandelt, B. D., Watson, R., Wehus, I. K., White, S. D. M., Wilkinson, A., Yvon, D., Zacchei, A., Zonca, A., Hélium : du fondamental aux applications (HELFA), Institut Néel (NEEL), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS), APC - Cosmologie, AstroParticule et Cosmologie (APC (UMR_7164)), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Centre National de la Recherche Scientifique (CNRS), APC - Gravitation (APC-Gravitation), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Max-Planck-Institut für Gravitationsphysik ( Albert-Einstein-Institut ) (AEI), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Laboratoire de l'Accélérateur Linéaire (LAL), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), PLANCK, Universidad de Cantabria, Hélium : du fondamental aux applications (NEEL - HELFA), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Max-Planck-Institut für Gravitationsphysik ( Albert-Einstein-Institut ) (AEI), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Anne Lähteenmäki Group, Department of Electronics and Nanoengineering, Aalto-yliopisto, Aalto University, HELFA - Hélium : du fondamental aux applications, Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Physique Corpusculaire et Cosmologie - Collège de France (PCC), Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-AstroParticule et Cosmologie (APC (UMR_7164)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Max-Planck-Institut für Gravitationsphysik ( Albert-Einstein-Institut ) (AEI), Department of Physics, and Helsinki Institute of Physics

Subjects
Astronomy, Cosmic microwave background, data analysis, Astrophysics, cosmic background radiation, Surveys, Cosmic background radiation, NOISE, RADIOMETERS, data analysis [Methods], observations [Cosmology], Survey, cosmology: observations, surveys [cosmic background radiation, methods], Physics, Detector, Astrophysics::Instrumentation and Methods for Astrophysics, Computer Science::Computers and Society, DATA SETS, Physics::Space Physics, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Astrophysics - Instrumentation and Methods for Astrophysics, Noise (radio), Astrophysics and Astronomy, [PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM], education, FOS: Physical sciences, observation [Cosmology], Computer Science::Digital Libraries, NO, Settore FIS/05 - Astronomia e Astrofisica, surveys, Calibration, PRE-LAUNCH STATUS, Angular resolution, Instrumentation and Methods for Astrophysics (astro-ph.IM), methods: data analysis, Radiometer, MAP-MAKING ALGORITHM, Instrument Data, Spectral density, Astronomy and Astrophysics, Astronomy and Astrophysic, 115 Astronomy, Space science, Cosmology: observations, Methods: data analysis, Space and Planetary Science, [SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM], data analysi [Methods], cosmology
Abstract

We describe the data processing pipeline of the Planck Low Frequency Instrument (LFI) data processing centre (DPC) to create and characterize full-sky maps based on the first 15.5 months of operations at 30, 44, and 70 GHz. In particular, we discuss the various steps involved in reducing the data, from telemetry packets through to the production of cleaned, calibrated timelines and calibrated frequency maps. Data are continuously calibrated using the modulation induced on the mean temperature of the cosmic microwave background radiation by the proper motion of the spacecraft. Sky signals other than the dipole are removed by an iterative procedure based on simultaneous fitting of calibration parameters and sky maps. Noise properties are estimated from time-ordered data after the sky signal has been removed, using a generalized least squares map-making algorithm. A destriping code (Madam) is employed to combine radiometric data and pointing information into sky maps, minimizing the variance of correlated noise. Noise covariance matrices, required to compute statistical uncertainties on LFI and Planck products, are also produced. Main beams are estimated down to the ≈−20 dB level using Jupiter transits, which are also used for the geometrical calibration of the focal plane., This work was supported by the Academy of Finland grants 253204, 256265, and 257989. We acknowledge financial support provided by the Spanish Ministerio de Ciencia e Innovaciõn through the Plan Nacional del Espacio y Plan Nacional de Astronomia y Astrofisica. The development of Planck has been supported by: ESA; CNES and CNRS/INSU-IN2P3-INP (France); ASI, CNR, and INAF (Italy); NASA and DoE (USA); STFC and UKSA (UK); CSIC, MICINN and JA (Spain); Tekes, AoF and CSC (Finland); DLR and MPG (Germany); CSA (Canada); DTU Space (Denmark); SER/SSO (Switzerland); RCN (Norway); SFI (Ireland); FCT/MCTES (Portugal); and PRACE (EU).

Published
2014

10. Entropy and astronomical data analysis: Perspectives from multiresolution analysis

Author

P. Querre, Fionn Murtagh, François Bonnarel, and Jean-Luc Starck

Subjects
Physics, Multiscale entropy, Entropy estimation, Data processing, Space and Planetary Science, Multiresolution analysis, Maximum entropy method, Image content, Astronomy and Astrophysics, Astrophysics, Deconvolution, Entropy (energy dispersal), Algorithm
Abstract

The Maximum Entropy Method is well-known and widely used in image analysis in astronomy. In its standard form it presents certain drawbacks, such an underestimation of the photometry. Various renements of MEM have been proposed over the years. We review in this paper the main entropy functionals which have been proposed and discuss each of them. We dene, from a conceptual point of view, what a good denition of entropy should be in the framework of astronomical data processing. We show how a denition of multiscale entropy fullls these requirements. We show how multiscale entropy can be used for many applications, such as signal or image ltering, multi-channel data ltering, deconvolution, background fluctuation analysis, and astronomical image content analysis.

Published
2001

11. A combined approach for object detection and deconvolution

Author

Albert Bijaoui, I. Valtchanov, Fionn Murtagh, and Jean-Luc Starck

Subjects
Physics, Point spread function, Blind deconvolution, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, General Physics and Astronomy, Wavelet transform, Pattern recognition, Astrophysics, Object (computer science), Object detection, Image (mathematics), Range (mathematics), Deconvolution, Artificial intelligence, business
Abstract

The Multiscale Vision Model is a recent object detection method, based on the wavelet transform. It al- lows us to extract all objects contained in an image, what- ever their size or their shape. From each extracted object, information concerning flux or shape can easily be deter- mined. We show that such an approach can be combined with deconvolution, leading to the reconstruction of de- convolved objects. We discuss the advantages of this ap- proach, such as how we can perform deconvolution with a space-variant point spread function. We present a range of examples and applications, in the framework of the ISO, XMM and other projects, to illustrate the eectiveness of this approach.

Published
2000

12. Planck intermediate results (Corrigendum). V. Pressure profiles of galaxy clusters from the Sunyaev-Zeldovich effect

Author

T. Riller, A. Hempel, Elena Pierpaoli, M. Ashdown, H. K. Eriksen, N. Ponthieu, Jean-François Cardoso, Barbara Comis, X. Dupac, E. Churazov, G. Chon, L. Montier, Guilaine Lagache, M. Giard, F. Noviello, M. Arnaud, G. Polenta, L. Cayón, L. Toffolatti, A. Moneti, Federico Nati, Alessandro Gruppuso, Luca Terenzi, Ricardo Génova-Santos, B. P. Crill, Lung-Yih Chiang, M. López-Caniego, G. Castex, Paolo Cabella, C. Renault, U. Dörl, Anthony Lasenby, Stefano Borgani, M. Sandri, Francine R. Marleau, E. Keihänen, C. Hernández-Monteagudo, J. R. Bond, M. Frailis, Carlo Baccigalupi, Francesca Perrotta, J.-P. Bernard, L. Popa, Peter A. R. Ade, S. Osborne, E. Hivon, Nicola Vittorio, Julian Borrill, Daniel J. Mortlock, J. Aumont, Torsten A. Enßlin, Hannu Kurki-Suonio, Sophie Henrot-Versille, B. Van Tent, D. J. Marshall, J.-F. Sygnet, F. Cuttaia, A. J. Banday, Charles R. Lawrence, Matthieu Roman, Olivier Forni, W. C. Jones, Alain Benoit, Michael P. Hobson, I. Flores-Cacho, Lloyd Knox, David L. Clements, Jean-Loup Puget, T. Jagemann, W. A. Holmes, Karim Benabed, O. Perdereau, Klaus Dolag, Alessandro Melchiorri, Jose M. Diego, Michael L. Brown, Y. Giraud-Héraud, R. A. Burenin, Luca Valenziano, I. D. Novikov, Paolo Natoli, R. Leonardi, C. Rosset, F. K. Hansen, Marc-Antoine Miville-Deschênes, B. Rusholme, Herve Dole, D. L. Harrison, Andrew R. Liddle, S. Donzelli, Sabino Matarrese, F. Piacentini, I. Ristorcelli, Subhasish Mitra, M. Frommert, Pavel Naselsky, R. J. Davis, Giorgio Savini, Jean-Baptiste Melin, A. Coulais, A. Catalano, Marian Douspis, Anna Bonaldi, Mika Juvela, Andrea Zacchei, Martin Reinecke, I. F. Bikmaev, S. Ricciardi, Rashmikant V. Sudiwala, Michele Maris, Sergio Colafrancesco, J. A. Tauber, Niraj Welikala, Jose Alberto Rubino-Martin, Jussi Varis, William T. Reach, P. Carvalho, E. Franceschi, R. B. Barreiro, R. Piffaretti, J.-M. Lamarre, D. Sutton, T. Poutanen, P. de Bernardis, Hervé Bourdin, G. Hurier, G. W. Pratt, Jörg P. Rachen, Hans Böhringer, Gianluca Morgante, Simon D. M. White, Fernando Atrio-Barandela, A. Mennella, Nabila Aghanim, George F. Smoot, Luigi Danese, J. González-Nuevo, Matthieu Tristram, G. de Zotti, Theodore Kisner, G. Luzzi, Pasquale Mazzotta, Fabio Pasian, R. A. Sunyaev, Hans Ulrik Nørgaard-Nielsen, Silvia Masi, F. Pajot, Anne Lähteenmäki, F.-X. Désert, R. Bhatia, P. Vielva, J. Démoclès, S. R. Hildebrandt, D. Herranz, M. Le Jeune, R. Kneissl, G. Patanchon, Marcella Massardi, Jean-Luc Starck, A.-S. Suur-Uski, S. Galeotta, Martin White, Douglas Scott, Ken Ganga, Krzysztof M. Gorski, P. R. Christensen, B. D. Wandelt, J. F. Macías-Pérez, E. Martínez-González, N. Mandolesi, G. de Gasperis, Stéphane Colombi, Pablo Fosalba, Andrew H. Jaffe, Irek Khamitov, M. Piat, J. Knoche, Rafael Rebolo, E. Battaner, Etienne Pointecouteau, Graca Rocha, M. Tomasi, A. Da Silva, F. R. Bouchet, F. Villa, Carlo Burigana, Marco Bersanelli, L. Mendes, M. Rossetti, Stéphane Plaszczynski, L. Perotto, Jussi Tuovinen, Jérôme Bobin, Davide Maino, A. Chamballu, Simona Mei, Jacques Delabrouille, J. A. Murphy, Simon Prunet, Amedeo Balbi, Fabio Finelli, T. R. Jaffe, James G. Bartlett, Martin Kunz, Mathieu Remazeilles, Lawrence A. Wade, Håkon Dahle, O. Doré, Andrea Zonca, A. Gregorio, P. B. Lilje, D. Yvon, L. P. L. Colombo, Dmitry Novikov, Daniela Paoletti, Dipak Munshi, and George Efstathiou

Subjects
Surface (mathematics), cosmology: observations, galaxies: clusters: general, galaxies: clusters: intracluster medium, submillimeter: general, X-rays: general, errata, addenda, Astrophysics, System of linear equations, 01 natural sciences, Matrix (mathematics), Settore FIS/05 - Astronomia e Astrofisica, Position (vector), errata: addenda, 0103 physical sciences, 010303 astronomy & astrophysics, Physics, submillimiter: general, cosmology: observations, galaxies: clusters: general, galaxies: clusters: intracluster medium, submillimeter: general, X-rays: general, errata, addenda, 010308 nuclear & particles physics, Scattering, Plane (geometry), Cosmology: observations, Galaxies: clusters: intracluster medium, X-Rays: General, Astronomy and Astrophysics, Transformation (function), Space and Planetary Science, addenda, errata, Gaussian optics
Abstract

We have developed an approximate technique, based on the principles of multi-mode Gaussian optics, for studying the behaviour of shaped off-axis mirrors. We describe a mirror as an inclined phase-transforming plane, where the phase transformation across the plane is determined by the depth of the mirror as a function of position. The scattering matrix is calculated in the usual way by evaluating the overlap integrals over some surface for which the amplitudes and phases of the incoming and outgoing fields are known; because, however, the modes are not orthogonal over the surface of interest, a system of linear equations has to be solved. We demonstrate the “thin-mirror” technique by studying the behaviour of paraboloidal and ellipsoidal mirros, and we show how the performance of measured and approximate surfaces can be assessed.

Published
2013

13. Darth Fader: Using wavelets to obtain accurate redshifts of spectra at very low signal-to-noise

Author

F. B. Abdalla, Adrienne Leonard, D. P. Machado, Jean-Luc Starck, Stephanie Jouvel, Département d'Astrophysique (ex SAP) (DAP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, University College of London [London] (UCL), Institut de Ciencies de l'Espai [Barcelona] (ICE-CSIC), and Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), media_common.quotation_subject, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, Set (abstract data type), Wavelet, surveys, 0103 physical sciences, 010303 astronomy & astrophysics, media_common, Physics, 010308 nuclear & particles physics, Noise (signal processing), Astronomy and Astrophysics, methods: data analysis, Galaxy, Redshift, Space and Planetary Science, Sky, Catastrophic failure, Line (geometry), galaxies: distances and redshifts, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Algorithm, techniques: spectroscopic, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We present the DARTH FADER algorithm, a new wavelet-based method for estimating redshifts of galaxy spectra in spectral surveys that is particularly adept in the very low SNR regime. We use a standard cross-correlation method to estimate the redshifts of galaxies, using a template set built using a PCA analysis on a set of simulated, noise-free spectra. Darth Fader employs wavelet filtering to both estimate the continuum & to extract prominent line features in each galaxy spectrum. A simple selection criterion based on the number of features present in the spectrum is then used to clean the catalogue: galaxies with fewer than six total features are removed as we are unlikely to obtain a reliable redshift estimate. Applying our wavelet-based cleaning algorithm to a simulated testing set, we successfully build a clean catalogue including extremely low signal-to-noise data (SNR=2.0), for which we are able to obtain a 5.1% catastrophic failure rate in the redshift estimates (compared with 34.5% prior to cleaning). We also show that for a catalogue with uniformly mixed SNRs between 1.0 & 20.0, with realistic pixel-dependent noise, it is possible to obtain redshifts with a catastrophic failure rate of 3.3% after cleaning (as compared to 22.7% before cleaning). Whilst we do not test this algorithm exhaustively on real data, we present a proof of concept of the applicability of this method to real data, showing that the wavelet filtering techniques perform well when applied to some typical spectra from the SDSS archive. The Darth Fader algorithm provides a robust method for extracting spectral features from very noisy spectra. The resulting clean catalogue gives an extremely low rate of catastrophic failures, even when the spectra have a very low SNR. For very large sky surveys, this technique may offer a significant boost in the number of faint galaxies with accurately determined redshifts., 22 pages, 15 figures. Accepted for publication in Astronomy & Astrophysics

Published
2013

14. Sparse component separation for accurate cosmic microwave background estimation

Author

Soumen Basak, Jérôme Bobin, Franck Sureau, and Jean-Luc Starck

Subjects
media_common.quotation_subject, Cosmic microwave background, Cosmic background radiation, cosmic background radiation, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, symbols.namesake, Component (UML), 0103 physical sciences, Source separation, Planck, 010303 astronomy & astrophysics, media_common, Physics, methods: statistical, 010308 nuclear & particles physics, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy and Astrophysics, methods: data analysis, CMB cold spot, Galaxy, Universe, Space and Planetary Science, symbols, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract

International audience; The cosmic microwave background (CMB) is of premier importance for cosmologists in studying the birth of our universe. Unfortunately, most CMB experiments, such as COBE, WMAP, or Planck do not directly measure the cosmological signal, because the CMB is mixed up with galactic foregrounds and point sources. For the sake of scientific exploitation, measuring the CMB requires extracting several different astrophysical components (CMB, Sunyaev-Zel’dovich clusters, galactic dust) from multiwavelength observations. Mathematically speaking, the problem of disentangling the CMB map from the galactic foregrounds amounts to a component or source separation problem. In the field of CMB studies, a wide range of source separation methods have been applied that all differ in the way they model the data and in the criteria they rely on to separate components. Two main difficulties are i) that the instrument’s beam varies across frequencies and ii) that the emission laws of most astrophysical components vary across pixels. This paper aims at introducing a very accurate modeling of CMB data, based on sparsity to account for beams’ variability across frequencies, as well as for spatial variations of the components’ spectral characteristics. Based on this new sparse modeling of the data, a sparsity-based component separation method coined local-generalized morphological component analysis (L-GMCA) is described. Extensive numerical experiments have been carried out with simulated Planck data. These experiments show the high efficiency of the proposed component separation methods for estimating a clean CMB map with a very low foreground contamination, which makes L-GMCA of prime interest for CMB studies.

Published
2013

15. 3DEX: a code for fast spherical Fourier-Bessel decomposition of 3D surveys

Author

Alexandre Refregier, Jean-Luc Starck, A. Rassat, Boris Leistedt, University College of London [London] (UCL), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Ecole Polytechnique Fédérale de Lausanne (EPFL), Institute of Astronomy [ETH Zürich], Department of Physics [ETH Zürich] (D-PHYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), European Project: 228261,EC:FP7:ERC,ERC-2008-AdG,SPARSEASTRO(2009), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Computation, Velocity, FOS: Physical sciences, Density, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, [PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO], symbols.namesake, 0103 physical sciences, Decomposition (computer science), Harmonic-Analysis, 010303 astronomy & astrophysics, galaxies: statistics, Physics, methods: statistical, Probe Wmap Observations, Fields, 010308 nuclear & particles physics, HEALPix, Spherical coordinate system, Spherical harmonics, High-Resolution, Astronomy and Astrophysics, Missing data, methods: data analysis, spherical signal processing, Cosmology, spherical Fourier-Bessel decomposition, Fourier transform, Space and Planetary Science, cosmology: observations, symbols, 2Mass Redshift Survey, Anisotropy, large-scale structure of Universe, Sky, Algorithm, Bessel function, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

High-precision cosmology requires the analysis of large-scale surveys in 3D spherical coordinates, i.e. spherical Fourier-Bessel decomposition. Current methods are insufficient for future data-sets from wide-field cosmology surveys. The aim of this paper is to present a public code for fast spherical Fourier-Bessel decomposition that can be applied to cosmological data or 3D data in spherical coordinates in other scientific fields. We present an equivalent formulation of the spherical Fourier-Bessel decomposition that separates radial and tangential calculations. We propose the use of the existing pixelisation scheme HEALPix for a rapid calculation of the tangential modes. 3DEX (3D EXpansions) is a public code for fast spherical Fourier-Bessel decomposition of 3D all-sky surveys that takes advantage of HEALPix for the calculation of tangential modes. We perform tests on very large simulations and we compare the precision and computation time of our method with an optimised implementation of the spherical Fourier-Bessel original formulation. For surveys with millions of galaxies, computation time is reduced by a factor 4-12 depending on the desired scales and accuracy. The formulation is also suitable for pre-calculations and external storage of the spherical harmonics, which allows for additional speed improvements. The 3DEX code can accommodate data with masked regions of missing data. 3DEX can also be used in other disciplines, where 3D data are to be analysed in spherical coordinates. The code and documentation can be downloaded at http://ixkael.com/blog/3dex., 6 pages plus appendices. Revised version accepted by A&A. The code and documentation can be downloaded at http://ixkael.com/blog/3dex

Published
2012

16. Measuring the integrated Sachs-Wolfe effect

Author

Jean-Luc Starck, M. J. Fadili, François-Xavier Dupé, and A. Rassat

Subjects
Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), 010308 nuclear & particles physics, Cosmic microwave background, Dark matter, FOS: Physical sciences, Estimator, Astronomy and Astrophysics, Context (language use), General Relativity and Quantum Cosmology (gr-qc), Astrophysics::Cosmology and Extragalactic Astrophysics, Cosmic variance, Astrophysics, Sachs–Wolfe effect, Missing data, 01 natural sciences, General Relativity and Quantum Cosmology, 13. Climate action, Space and Planetary Science, 0103 physical sciences, Dark energy, 010303 astronomy & astrophysics, Algorithm, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

One of the main challenges of modern cosmology is to understand the nature of dark energy. The Integrated Sachs-Wolfe (ISW) effect is sensitive to dark energy and presents an independent signature of dark energy in the absence of modified gravity and curvature. The ISW effect occurs on large scales, where cosmic variance is high and where there are large amounts of missing data in the CMB and large scale structure maps due to Galactic confusion. Moreover, existing methods in the literature often make strong assumptions about the statistics of the underlying fields or estimators. Together these effects can severely limit signal extraction. We review literature on the ISW effect, comparing statistical subtleties between existing methods, and identifying several limitations. We propose a novel method to detect and measure the ISW signal. This method assumes only that the primordial CMB field is Gaussian. It is based on a sparse inpainting method to reconstruct missing data and uses a bootstrap technique to avoid assumptions about the statistics of the estimator. It is a complete method, using three complementary statistical methods. We apply our method to Euclid-like simulations and show we can expect a \sim 7\sigma model-independent detection of the ISW signal with WMAP7-like data, even with missing data. Other tests return \sim 4.7\sigma detection levels for a Euclid-like survey, with levels independent from whether the galaxy field is normally or lognormally distributed. We apply our method to the 2 Micron All Sky Survey (2MASS) and WMAP7 CMB data and find detections in the 1.1 - 2.0\sigma range, as expected from simulations. As a by-product, we reconstruct the full-sky temperature ISW field due to 2MASS data. We have presented a novel technique, based on sparse inpainting and bootstrapping, which accurately detects and reconstructs the ISW effect., Comment: Accepted for publication in AA. Added discussion and simulations for a Euclid-like survey

Published
2011

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