A
A. Iovino
Researcher at INAF
Publications - 428
Citations - 40120
A. Iovino is an academic researcher from INAF. The author has contributed to research in topics: Galaxy & Redshift. The author has an hindex of 94, co-authored 423 publications receiving 37563 citations. Previous affiliations of A. Iovino include ASTRON & University of Insubria.
Papers
More filters
VizieR Online Data Catalog: XMM-Newton wide-field survey in COSMOS field (Cappelluti+, 2009)
Nico Cappelluti,Marcella Brusa,G. Hasinger,Andrea Comastri,G. Zamorani,A. Finoguenov,Roberto Gilli,Simonetta Puccetti,Takamitsu Miyaji,Mara Salvato,C. Vignali,T. Aldcroft,Hans Boehringer,H.G. Brunner,Francesca Civano,M. Elvis,Fabrizio Fiore,Antonella Fruscione,Richard E. Griffiths,Luigi Guzzo,A. Iovino,Anton M. Koekemoer,Vincenzo Mainieri,Nick Scoville,Patrick L. Shopbell,John D. Silverman,C. M. Urry +26 more
Journal Article
EISily looking for distant clusters of galaxies - a new algorithm and its application to the EIS-wide data
TL;DR: In this paper, a matched filter based algorithm was proposed to search for distant clusters of galaxies on catalogues deriving from imaging data, as those of the ESO Imaging Survey.
Book ChapterDOI
The Clustering of HII Galaxies
TL;DR: HII galaxies, a class of gas-rich low-mass galaxies, are three times less clustered than normal galaxies, with a clustering scale length of 2.1h −l Mpc as mentioned in this paper.
Book ChapterDOI
The VIMOS VLT Deep Survey: A Homogeneous Galaxy Group Catalogue Upto z ~ 1
TL;DR: In this article, a complete catalog of optical galaxy groups identified in the VIMOS-VLT spectroscopic deep survey (VVDS) is presented, and the authors use mock catalogues extracted from the Millennium simulation to study the potential systematics that might affect the overall distribution of the identified systems.
Posted Content
A VLT colour image of the optical Einstein ring 0047-2808
TL;DR: In this article, the authors combined the VLT B-band and Ly-alpha narrowband images with a K-band image obtained at UKIRT to produce a deep colour image of the system.