S
S. Galeotta
Researcher at INAF
Publications - 411
Citations - 113794
S. Galeotta is an academic researcher from INAF. The author has contributed to research in topics: Planck & Cosmic microwave background. The author has an hindex of 140, co-authored 377 publications receiving 101132 citations. Previous affiliations of S. Galeotta include Trieste Astronomical Observatory & ASTRON.
Papers
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Journal ArticleDOI
Revised planet brightness temperatures using the Planck /LFI 2018 data release
Michele Maris,E. Romelli,M. Tomasi,Anna Gregorio,M. Sandri,S. Galeotta,Daniele Tavagnacco,M. Frailis,Gianmarco Maggio,Andrea Zacchei +9 more
TL;DR: In this paper, the authors presented new estimates of the brightness temperatures of Jupiter, Saturn, Uranus, and Neptune based on the measurements carried in 2009-2013 by Planck /LFI at 30, 44, and 70 GHz and released to the public in 2018.
Journal ArticleDOI
The Planck LFI RCA flight model test campaign
Luca Terenzi,F. Villa,A. Mennella,Marco Bersanelli,R. C. Butler,F. Cuttaia,Ocleto D'Arcangelo,E. Franceschi,S. Galeotta,Davide Maino,M. Malaspina,Nazzareno Mandolesi,Gianluca Morgante,M. Sandri,Luca Stringhetti,M. Tomasi,Luca Valenziano,Carlo Burigana,Fabio Finelli,Matteo Galaverni,Matteo Galaverni,Alessandro Gruppuso,Francesco Paci,Francesco Paci,L. Popa,Pietro Procopio,Pietro Procopio,J. Zuccarelli,J. Zuccarelli +28 more
TL;DR: The Planck satellite is the third generation of space missions devoted to cosmic microwave background (CMB) measurements as discussed by the authors, which will perform two sky surveys and measure the CMB anisotropies and polarization between 30 and 850 GHz.
Journal ArticleDOI
Planck pre-launch status: Low Frequency Instrument calibration and expected scientific performance
A. Mennella,Marco Bersanelli,R. C. Butler,F. Cuttaia,O. D'Arcangelo,R. J. Davis,M. Frailis,S. Galeotta,Anna Gregorio,Charles R. Lawrence,Rodrigo Leonardi,S. R. Lowe,N. Mandolesi,M. Maris,Peter Meinhold,L. Mendes,Gianluca Morgante,M. Sandri,Luca Stringhetti,Luca Terenzi,M. Tomasi,Luca Valenziano,Fabrizio Villa,Andrea Zacchei,Andrea Zonca,M. Balasini,Cristian Franceschet,P. Battaglia,P. M. Lapolla,P. Leutenegger,M. Miccolis,L. Pagan,R. Silvestri,Beatriz Aja,Eduardo Artal,G. Baldan,P. Bastia,T. Bernardino,L. Boschini,G. Cafagna,B. Cappellini,Francesco Cavaliere,F. Colombo,L. de la Fuente,J. Edgeley,M. C. Falvella,Fabricio Ferrari,S. Fogliani,E. Franceschi,Todd Gaier,F. Gomez,José Miguel Herreros,Sergi R. Hildebrandt,Roger J. Hoyland,N. Hughes,P. Jukkala,D. Kettle,M. Laaninen,D. Lawson,P. Leahy,Steven Levin,P. B. Lilje,Davide Maino,M. Malaspina,P. Manzato,J. Marti-Canales,Enrique Martínez-González,A. Mediavilla,F. Pasian,Juan Pablo Pascual,M. Pecora,L. Peres-Cuevas,P. Platania,M. Pospieszalsky,T. Poutanen,T. Poutanen,T. Poutanen,Rafael Rebolo,N. Roddis,M. J. Salmon,Michael Seiffert,A. Simonetto,Carlo Sozzi,Jan Tauber,J. Tuovinen,Jussi Varis,Althea Wilkinson,F. Winder +87 more
TL;DR: In this paper, the Planck Low Frequency Instrument (LFI) was measured during the ground cryogenic test campaign and a set of measured calibration parameters were updated during flight operations through the end of the mission.
Posted Content
BeyondPlanck II. CMB map-making through Gibbs sampling
E. Keihänen,A.-S. Suur-Uski,K. J. Andersen,R. Aurlien,R. Banerji,M. Bersanelli,S. Bertocco,M. Brilenkov,M. Carbone,L. P. L. Colombo,H. K. Eriksen,Marie Kristine Foss,Cristian Franceschet,U. Fuskeland,S. Galeotta,M. Galloway,S. Gerakakis,E. Gjerløw,Brandon S. Hensley,D. Herman,M. Iacobellis,M. Ieronymaki,Håvard T. Ihle,J. Jewell,A. Karakci,R. Keskitalo,Gianmarco Maggio,Davide Maino,Michele Maris,A. Mennella,S. Paradiso,B. Partridge,Martin Reinecke,T. L. Svalheim,Daniele Tavagnacco,H. Thommesen,M. Tomasi,Duncan J. Watts,I. K. Wehus,A. Zacchei +39 more
TL;DR: The conceptual advantages of the Gibbs sampling approach lies in statistically well-defined error propagation and systematic error correction, and this methodology forms the conceptual basis for the map-making algorithm employed in the BeyondPlanck framework, which implements the first end-to-end Bayesian analysis pipeline for CMB observations.
Journal ArticleDOI
Effect of Fourier filters in removing periodic systematic effects from CMB data
F. de Gasperin,A. Mennella,A. Mennella,Davide Maino,Luca Terenzi,S. Galeotta,B. Cappellini,Gianluca Morgante,M. Tomasi,Marco Bersanelli,N. Mandolesi,Andrea Zacchei +11 more
TL;DR: In this article, the application of high-pass Fourier filters to remove periodic systematic fluctuations from full-sky survey CMB datasets has been investigated and compared with the use of destriping codes to remove the effect of residual 1/f noise from timelines.