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Enrico Piconcelli

Researcher at INAF

Publications -  300
Citations -  14958

Enrico Piconcelli is an academic researcher from INAF. The author has contributed to research in topics: Galaxy & Quasar. The author has an hindex of 60, co-authored 277 publications receiving 13041 citations. Previous affiliations of Enrico Piconcelli include University of Cambridge & University of Bologna.

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Massive molecular outflows and evidence for AGN feedback from CO observations

TL;DR: In this paper, the authors studied the properties of massive, galactic-scale outflows of molecular gas and investigated their impact on galaxy evolution, finding that the presence of an active galactic nucleus (AGN) can boost the outflow rate by a large factor, which is found to increase with the L-AGN/L-bol ratio.
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Quasar feedback revealed by giant molecular outflows

TL;DR: In this article, the authors used the IRAM PdB Interferometer to observe the CO(1-0) transition in the closest quasar known, and they detected broad wings of the CO line, with velocities of up to 750 km/s-1 and spatially resolved on the kpc scale.
Posted Content

The Hot and Energetic Universe: A White Paper presenting the science theme motivating the Athena+ mission

Kirpal Nandra, +239 more
TL;DR: The Advanced Telescope for High Energy Astrophysics (Athena+) mission as discussed by the authors provides the necessary performance (e.g., angular resolution, spectral resolution, survey grasp) to address these questions and revolutionize our understanding of the Hot and Energetic Universe.
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The XMM-Newton view of PG quasars - I. X-ray continuum and absorption

TL;DR: In this paper, the authors present results of a systematic analysis of the XMM-Newton spectra of 40 quasars (QSOs) (z ≤ 1.72) from the Palomar-Green (PG) Bright Quasar Survey sample (MB < −23).
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AGN wind scaling relations and the co-evolution of black holes and galaxies

TL;DR: In this paper, the authors acknowledge support from the FP7 Career Integration Grant “eEASy” (CIG 321913), LZ acknowledges support from ASI/INAF grant I/037/12/0 and CF acknowledges funding from the European Union Horizon 2020 research and innovation programme under the Marie SklodowskaCurie grant agreement No 664931.