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Nabila Aghanim

Researcher at Université Paris-Saclay

Publications -  450
Citations -  110271

Nabila Aghanim is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Planck & Cosmic microwave background. The author has an hindex of 137, co-authored 416 publications receiving 100914 citations. Previous affiliations of Nabila Aghanim include University of Paris-Sud & University of Paris.

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Planck intermediate results. XXXIX. The Planck list of high-redshift source candidates

Peter A. R. Ade, +187 more
TL;DR: In this article, a combination of Planck and IRAS data was used to select the most luminous cold submm sources with spectral energy distributions peaking between 353 and 857GHz at 5' resolution.
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Planck intermediate results. XLIII. The spectral energy distribution of dust in clusters of galaxies

R. Adam, +178 more
TL;DR: In this paper, the spectral energy distribution (SED) of the infrared spectrum of thermal dust emission in clusters of galaxies was obtained by using a stacking approach for a sample of several hundred objects from the Planck cluster sample; this procedure averaged out fluctuations from the IR sky, allowing to reach a significant detection of the faint cluster contribution.
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Planck intermediate results. XXV. The Andromeda Galaxy as seen by Planck

Peter A. R. Ade, +203 more
TL;DR: In this paper, the authors examined the morphology of the Andromeda galaxy's outermost spiral arms and investigated the dust heating mechanism across M31, finding that dust dominating the longer wavelength emission is heated by the diffuse stellar population.
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Planck Intermediate Results. XXXVI. Optical identification and redshifts of Planck SZ sources with telescopes in the Canary Islands Observatories

P. A. R. Ade, +188 more
TL;DR: The results of approximately three years of observations of Planck Sunyaev-Zeldovich (SZ) sources with telescopes at the Canary Islands observatories as part of the general optical follow-up programme undertaken by the Planck collaboration are discussed in this paper.
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Reconstruction of high-resolution Sunyaev–Zeldovich maps from heterogeneous data sets using needlets

TL;DR: In this article, a multiscale needlet Internal Linear Combination (ILC) was proposed to optimize the thermal Sunyaev-Zeldovich (SZ) effect reconstruction at high resolution.