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G

G. Polenta

Researcher at Agenzia Spaziale Italiana

Publications -  379
Citations -  104689

G. Polenta is an academic researcher from Agenzia Spaziale Italiana. The author has contributed to research in topics: Planck & Cosmic microwave background. The author has an hindex of 136, co-authored 337 publications receiving 92816 citations. Previous affiliations of G. Polenta include INAF.

Papers
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$Euclid$ preparation: XV. Forecasting cosmological constraints for the $Euclid$ and CMB joint analysis

S. Ilić, +208 more
TL;DR: In this paper, the authors present forecasts for the joint analysis of $Euclid$ and CMB data on the cosmological parameters of the standard cosmology model and some of its extensions.
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Planck intermediate results - XLV. Radio spectra of northern extragalactic radio sources

Peter A. R. Ade, +245 more
TL;DR: In this paper, the authors presented a continuous spectrum covering centimetre to submillimetre wavelengths for a northern sample of 104 extragalactic radio sources, mainly active galactic nuclei, based on four-epoch Planck data.
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Planck intermediate results. XL. The Sunyaev-Zeldovich signal from the Virgo cluster

Peter A. R. Ade, +203 more
TL;DR: In this paper, the authors study the Sunyaev-Zeldovich (SZ) signal in the outskirts of the Virgo cluster and compare it with analytical models and a constrained simulation of the environment of Virgo.
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The large scale polarization explorer (LSPE) for CMB measurements: performance forecast

Giuseppe Addamo, +102 more
TL;DR: In this paper, the performance forecast of the Large Scale Polarization Explorer (LSPE), a program dedicated to the measurement of the CMB polarization, has been presented, with the main features of the two instruments, identifying the most critical aspects of the design, in terms of impact into performance forecast.
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A comparison of CMB angular power spectrum estimators at large scales: the TT case

TL;DR: In this article, the authors compare the efficiency at large scale of two angular power spectrum algorithms, implementing, respectively, the quadratic maximum likelihood estimator and the pseudo spectrum (pseudo-Cl) estimator.