5 Papers
544 Citations
P. Paykari is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Cosmic microwave background & Cosmic background radiation. The author has an hindex of 4, co-authored 5 publications.
Chat about Author
Papers
Planck 2013 results. XV. CMB power spectra and likelihood
Peter A. R. Ade,Nabila Aghanim,C. Armitage-Caplan,Monique Arnaud,M. Ashdown,Fernando Atrio-Barandela,J. Aumont,Carlo Baccigalupi,A. J. Banday,R. B. Barreiro,James G. Bartlett,E. Battaner,K. Benabed,Alain Benoit,A. Benoit-Lévy,J.-P. Bernard,Marco Bersanelli,P. Bielewicz,Jérôme Bobin,James J. Bock,Anna Bonaldi,Laura Bonavera,J. R. Bond,Julian Borrill,François R. Bouchet,F. Boulanger,M. Bridges,M. Bucher,Carlo Burigana,R. C. Butler,Erminia Calabrese,Jean-François Cardoso,A. Catalano,Anthony Challinor,A. Chamballu,Lung-Yih Chiang,H. C. Chiang,P. R. Christensen,Sarah E. Church,David L. Clements,S. Colombi,L. P. L. Colombo,C. Combet,F. Couchot,A. Coulais,B. P. Crill,A. Curto,F. Cuttaia,Luigi Danese,R. D. Davies,R. J. Davis,P. de Bernardis,A. de Rosa,G. de Zotti,Jacques Delabrouille,J.-M. Delouis,F.-X. Désert,Clive Dickinson,Jose M. Diego,H. Dole,S. Donzelli,Olivier Doré,Marian Douspis,Joanna Dunkley,X. Dupac,George Efstathiou,F. Elsner,Torsten A. Ensslin,H. K. Eriksen,Fabio Finelli,Olivier Forni,M. Frailis,A. A. Fraisse,E. Franceschi,T. C. Gaier,S. Galeotta,Silvia Galli,K. Ganga,M. Giard,Giovanna Giardino,Y. Giraud-Héraud,E. Gjerløw,J. González-Nuevo,Krzysztof M. Gorski,Serge Gratton,A. Gregorio,Alessandro Gruppuso,Jon E. Gudmundsson,F. K. Hansen,Duncan Hanson,D. L. Harrison,George Helou,Sophie Henrot-Versille,C. Hernández-Monteagudo,D. Herranz,S. R. Hildebrandt,E. Hivon,Michael P. Hobson,W. A. Holmes,Allan Hornstrup,W. Hovest,Kevin M. Huffenberger,G. Hurier,T. R. Jaffe,Andrew H. Jaffe,J. Jewell,W. C. Jones,Mika Juvela,E. Keihänen,Reijo Keskitalo,K. Kiiveri,Theodore Kisner,R. Kneissl,J. Knoche,Lloyd Knox,Martin Kunz,Hannu Kurki-Suonio,Guilaine Lagache,Anne Lähteenmäki,J.-M. Lamarre,Anthony Lasenby,Massimiliano Lattanzi,R. J. Laureijs,Charles R. Lawrence,M. Le Jeune,S. Leach,J. P. Leahy,R. Leonardi,J. León-Tavares,Julien Lesgourgues,Michele Liguori,P. B. Lilje,V. Lindholm,M. Linden-Vørnle,M. López-Caniego,Philip Lubin,J. F. Macías-Pérez,Bruno Maffei,Davide Maino,N. Mandolesi,Domenico Marinucci,M. Maris,D. J. Marshall,Peter G. Martin,E. Martínez-González,Silvia Masi,Sabino Matarrese,F. Matthai,Pasquale Mazzotta,Peter Meinhold,Alessandro Melchiorri,L. Mendes,Eloisa Menegoni,A. Mennella,M. Migliaccio,M. Millea,S. Mitra,M.-A. Miville-Deschênes,D. Molinari,A. Moneti,L. Montier,Gianluca Morgante,Daniel J. Mortlock,Adam Moss,Dipak Munshi,Pavel Naselsky,Federico Nati,Paolo Natoli,Calvin B. Netterfield,Hans Ulrik Nørgaard-Nielsen,F. Noviello,Dmitry Novikov,I. D. Novikov,I. J. O'Dwyer,François Orieux,S. Osborne,Carol Anne Oxborrow,F. Paci,L. Pagano,F. Pajot,R. Paladini,Daniela Paoletti,Bruce Partridge,F. Pasian,G. Patanchon,P. Paykari,O. Perdereau,L. Perotto,Francesca Perrotta,F. Piacentini,M. Piat,E. Pierpaoli,Davide Pietrobon,Stéphane Plaszczynski,Etienne Pointecouteau,G. Polenta,N. Ponthieu,L. Popa,T. Poutanen,G. W. Pratt,G. Prézeau,Simon Prunet,J.-L. Puget,Jörg P. Rachen,Alexandra S. Rahlin,Rafael Rebolo,M. Reinecke,Mathieu Remazeilles,C. Renault,S. Ricciardi,T. Riller,Christophe Ringeval,I. Ristorcelli,Graca Rocha,C. Rosset,G. Roudier,M. Rowan-Robinson,Jose Alberto Rubino-Martin,Ben Rusholme,M. Sandri,L. Sanselme,D. Santos,Giorgio Savini,Douglas Scott,Michael Seiffert,E. P. S. Shellard,Locke D. Spencer,Jean-Luc Starck,V. Stolyarov,R. Stompor,R. Sudiwala,F. Sureau,D. Sutton,A.-S. Suur-Uski,J.-F. Sygnet,J. A. Tauber,Daniele Tavagnacco,Luca Terenzi,L. Toffolatti,M. Tomasi,M. Tristram,M. Tucci,J. Tuovinen,M. Turler,Luca Valenziano,Jussi-Pekka Väliviita,B. Van Tent,Jussi Varis,P. Vielva,Fabrizio Villa,Nicola Vittorio,L. A. Wade,Benjamin D. Wandelt,Ingunn Kathrine Wehus,Martin White,Simon D. M. White,D. Yvon,Andrea Zacchei,Andrea Zonca +258 more
TL;DR: In this article, the Planck likelihood is used to derive the CMB power spectrum over three decades in l, covering 2 = 50, and employ a correlated Gaussian likelihood approximation based on angular cross-spectra derived from the 100, 143 and 217 GHz channels.
WMAP 9-year CMB estimation using sparsity
TL;DR: A new WMAP 9-year CMB map is presented, with 15 arcmin resolution, which is reconstructed using a recently introduced sparse component separation technique, coined Local Generalized Morphological Component Analysis (LGMCA), which emphasizes on the sparsity of the components to be retrieved in the wavelet domain.
True cosmic microwave background power spectrum estimation
TL;DR: In this paper, the sparsity of the CMB power spectrum is investigated in two dictionaries, discrete cosine transform (DCT) and wavelet transform (WT), and a technique is developed to estimate the true underlying power spectrum from data, i.e., without a need to know the cosmological parameters.